<?xml version="1.0" encoding="UTF-8"?>
<article xmlns:xlink="http://www.w3.org/1999/xlink">
<front><article-meta>
<title-group><article-title>Accounting and Auditing with Application</article-title></title-group>
</article-meta></front>
<body>
<sec><title>-</title><p>Hossein Taghipour 1 ,* , Mohammad Ali Sari 1 , Mojtaba Soleymani Marshak 1 1 Department of Accounting, Mashhad Branch, Islamic Azad University, Mashhad, Iran ; taghipoor19@gmail.com ; ma.sari@iau.ac.ir ; Mojtaba.solymani@iau.ac.ir . Taghipour , H ., Sari , M. A. &amp; Soleymani Marshak , M . ( 2026 ). - . Accounting and Auditing with Application , 3 ( 3 ), 179 - 19 5 .</p>
</sec>
<sec><title>Abstract</title><p>The objective of this study is to examine the effect of managerial short - termism on voluntary information disclosure in companies listed on the Tehran Stock Exchange. Methodologically, the study is descriptive ² correlational in nature, and in terms of resea rch design, it is quasi - experimental and ex post facto. The statistical population comprises all companies listed on the Tehran Stock Exchange over the period 2017 ² 2024. Using a screening (filtering) sampling method, 149 companies were selected as the fina l sample. Data analysis was conducted using multiple regression analysis at a 95% confidence level, and the research hypotheses were tested using Stata software (version 17). The results indicate that managerial short - termism has a positive and significant effect on voluntary disclosure of information, and the research hypothesis is supported at the 95% confidence level. Furthermore, the findings show that the control variables of firm size and financial leverage have a positive and significant relationship with voluntary disclosure, whereas Return On Assets ( ROA )</p>
<p>exhibits a negative and significant relationship with the dependent variable. The coefficient of determination suggests that the independent and control variables explain a substantial proportion of the variation in voluntary disclosure. Diagnostic tests a lso indicate an appropriate model fit, absence of autocorrelation, and no multicollinearity among variables. Overall, the findings suggest that managerial short - term RULHQWDWLRQDORQJVLGHILUPV·ILQDQFLDOFKDUDFWHULVWLFVSOD\VDQLPSRUWDQWUROHLQVKDSLQ g voluntary disclosure policies.</p>
<p>$FFRUGLQJO\FRQVLGHUDWLRQRIPDQDJHUV·WLPHKRUL]RQVFDQFRQWULEXWHWRHQKDQFLQJLQIRUPDWLRQWUDQVSDUHQF\DQG improving capital market efficiency.</p>
</sec>
<sec><title>Keywords:</title><p>- termism, V oluntary information disclosure, F irm size, F inancial leverage, R eturn on assets .</p>
</sec>
<sec><title>1 Introduction</title><p>,QWRGD\·VLQFUHDVLQJO\FRPSHWLWLYHFDSLWDOPDUNHWVYROXQWDU\LQIRUPDWLRQGLVFORVXUHKDVHPHUJHGDVRQHRI the most important dimensions of financial reporting. Voluntary disclosure refers to the provision of financial and non - financial information beyond mandatory legal requirements and accounting standards, undertaken  Corresponding Author : taghipoor19@gmail.com 10.22105/aaa.v3i2.103 Licensee System Analytics . This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0 ).</p>
<p>-  by firms with the aim of enhancing transparency, reducing information asymmetry, and building stakeholder trust [1] . The extent and quality of voluntary disclosure are influenced by a range of factors, including managerial characteristics, corporate governance structures, economic environments, and market pressures [2] . Among these determinants, managerial short - term orientation is a significant behavioral factor that can substantially affect both the nature and extent of corporate information disclosure. Managers with a short - term perspective typically focus on immedia te performance outcomes and attempt to enhance profitability and generate positive capital market reactions within relatively short time horizons [3] . Such managers may refrain from providing transparent and comprehensive disclosures, instead selectively releasing information that serves their personal interests or short - term objectives. In contrast, managers with a long - tend to adopt VXVWDLQDEOH DQG UHVSRQVLEOH VWUDWHJLHV DLPHG DW LPSURYLQJ WKH ILUP·V ILQDQFLDO SRVLWLRQ DQG overall performance. These managers generally place greater emphasis on voluntary disclosure and seek to build investor and stakeholder trust through the provision of accurate and transparent information [4] . Under such conditions, voluntary disclosure not only reduces information asymmetry but also enables investors to GHYHORS D FOHDUHU XQGHUVWDQGLQJ RI WKH ILUP·V IXWXUH SURVSHFWV 7KH LPSRUWDQFH RI YROXQWDU\ GLVFORVXUH becomes even more pronounced in capita l markets where information transparency and financial reporting quality are relatively weak. In such contexts, managerial short - termism may constitute a serious obstacle to improving disclosure quality and strengthening investor confidence. This issue is particularly evident in firms whose managers face pressure to achieve short - term performance targets, such as increasing stock prices or meeting short - term profitability benchmarks [5] .</p>
<p>On the other hand, reduced transparency resulting from managerial short - term orientation may lead to several adverse consequences, including increased information risk, diminished investor confidence, impaired predictability of firm performance, and ultima tely higher cost of capital [6] 7KHPDQDJHU·VWLPHKRUL]RQLV W\SLFDOO\VKRUWHUWKDQWKHILUP·VOLIHF\FOHDQGWKLVPLVDOLJQPHQWRIWHQUHVXOWVLQP\RSLFGHFLVLRQ - making. It is commonly argued that a short - term managerial focus diverts attention from actions that maximize long - term fir m value. As an important component of financial reporting, voluntary disclosure contributes to the clarification of both financial and non - financial information, thereby enhancing investor trust, reducing information asymmetry, and improving economic decis ion - making.</p>
<p>However, the level and quality of voluntary disclosure are affected by various factors, one of which is - [7] . Managers with a short - term outlook tend to prioritize rapid gains such as short - term earnings increases and immediate stock price appreciation. This perspective may lead them to avoid comprehensive and transparent disclosure or to selectively disclose in formation that aligns with their short - term personal interests, thereby increasing information opacity and undermining investor confidence [8] . Conversely, voluntary disclosure requires a long - term managerial perspective on firm performance and stakeholder interests. When managers adopt a long - term orientation, they are more likely to voluntarily disclose information in order to build trust amon JVWDNHKROGHUVDQGSUHVHQWDFUHGLEOHSLFWXUHRIWKHILUP·V long - term outlook.</p>
<p>However, when short - termism dominates managerial behavior, disclosure becomes selective and strategically oriented toward short - term managerial gains, potentially leading to reduced disclosure quality, increased information risk, and heightened investor un certainty. In capital markets where transparency and reporting quality are of critical importance, understanding the effect of managerial short - disclosure is highly significant. This issue is particularly salient in firms wher e managers are influenced by personal incentives such as short - term compensation schemes or market performance pressures [9] .</p>
<p>Accordingly, examining the relationship between managerial short - termism and voluntary disclosure represents an important and challenging topic within accounting and financial management research. Focusing on this issue, the present study seeks to invest igate whether managerial short - ( Managerial Myopia ( MYO ) ) affects the extent and quality of voluntary disclosure. The findings of this study may be beneficial for corporate managers, investors, regulatory authorities, and capital market policymakers by supporting more informed decision - making and contributing t o the enhancement of information transparency.</p>
<p> Taghipour et al. | Acc. Aud. Appl. 3 ( 3 ) ( 2026 ) 179 - 19 5 Given that prior studies have identified relatively limited research addressing the effect of managerial short - term orientation on voluntary disclosure, it is anticipated that the findings of the present study will contribute to the expansion of the existi ng literature on these issues. Moreover, the results are expected to attract greater scholarly attention to this topic in future research and to provide useful insights for managerial and ownership decision - making processes. Accordingly, it is considered n ecessary to examine this issue in greater depth.</p>
</sec>
<sec><title>2 Literature and Hypothesis Development</title><p>- termism refers to a cognitive and behavioral orientation in which managers adopt a limited time horizon in their decision - making, with primary emphasis placed on improving short - term performance, achieving periodic targets, and managing im mediate capital market reactions. Recent studies indicate that such an orientation is largely shaped by capital market pressures, the influence of short - term investors, continuous evaluations by financial analysts, and compensation structures based on shor t - term performance [10] , [11] .</p>
<p>Voluntary disclosure is one of the most important communication mechanisms between firms and external stakeholders, playing a critical role in reducing information asymmetry, enhancing transparency, and improving capital market efficiency. Contemporary a ccounting literature suggests that voluntary disclosure is LQIOXHQFHG QRW RQO\ E\ ILUPV· HFRQRPLF FKDUDFWHULVWLFV EXW DOVR VLJQLILFDQWO\ E\ PDQDJHULDO LQFHQWLYHV preferences, and time horizons [12] , [13] .</p>
<p>$FFRUGLQJ WR DJHQF\ WKHRU\ FRQIOLFWV RI LQWHUHVW EHWZHHQ PDQDJHUV DQG RZQHUV WRJHWKHU ZLWK PDQDJHUV· informational advantage, create conditions for opportunistic behavior in financial reporting and disclosure practices. Within this framework, voluntary d isclosure can be viewed as a mechanism for managing agency relationships and mitigating external pressures. However, recent empirical evidence suggests that managers with a short - term orientation tend to use voluntary disclosure more as a short - term strate gic tool rather than as a long - term transparency - enhancing mechanism [14 ² 16] . Short - term - oriented managers, due to their focus on the immediate consequences of decisions, tend to structure voluntary disclosure in a way that improves short - term capital market reactions. Recent studies show that such managers are more inclined to di sclose LQIRUPDWLRQWKDWKDVDQLPPHGLDWHLPSDFWRQVWRFNSULFHVHDUQLQJVIRUHFDVWVDQGDQDO\VWV·HYDOXDWLRQVZKLOH they tend to avoid forward - looking, strategic, and long - term information disclosures that may increase perceived uncertainty [15] , [17] . From a signaling theory perspective, voluntary disclosure can be interpreted as a signal of firm quality and future prospects to the capital market. Managers with a short - attempt to send favorable short - term signals to investors through selective disclosure practices. Recent research indicates that such signaling is often concentrated on optimistic, explanatory, and non - mandatory information, while long - term strategic disclosures receive less emphasis [18] , [19] .</p>
<p>In addition, capital market conditions and investor composition may intensify the relationship between - termism and voluntary disclosure. Evidence suggests that in environments with a stronger presence of short - term investors and active ana lysts, managers are more likely to use voluntary disclosure as a tool for managing expectations and alleviating short - term market pressures [20] , [21] . Short - term - oriented managers are generally more inclined to disclose information that serves their immediate interests, while avoiding strategic and long - term disclosures [22 ² 24] . Overall, drawing on agency theory, signaling theory, and recent empirical evidence from both domestic and international studies, it can be argued that managerial short - term orientation plays a significant role in shaping voluntary disclosure behavior by influencing managerial incentives, decision time horizons, and interactions with capital markets.</p>
<p>Por Heidari and Hosseinpour [25] LQDVWXG\HQWLWOHG´ Examining the relationship between mandatory and voluntary disclosure and the value of companies&apos; shares µLQYHVWLJDWHGWKHHIIHFWRIGLVFORVXUHTXDOLW\RQWKH PDUNHWYDOXHRIILUPV·VKDUHV7KHVWDWLVWLFDOSRSXODWLRQRIWKHVWXG\FRQVLVWHGRIFRPSDQLHVOLVWHGRQWKH Tehran Stock Exchange. The findings indicated a positive and statistically significant relat ionship between mandatory disclosure and stock market value, whereas no significant relationship was observed between voluntary disclosure and stock market value.</p>
<p>-  Hajian et al. [26]  LQ D VWXG\ WLWOHG ´ Investigating factors affecting the level of information disclosure of companies listed on the Tehran Stock Exchange µGHPRQVWUDWHGWKDWPDQDJHUVZLWKDVKRUW - exhibit a lower tendency to disclose non - mandatory information. Hajiha et al. [27] LQDVWXG\HQWLWOHG´ The effect of managerial short - termism on cost stickiness of firms listed on T ehran stock exchange µDUJXHGWKDWH[SODLQLQJFRVWEHKDYLRUKROGVSDUWLFXODULPSRUWDQFHLQDFFRXQWLQJ and finance research. Recent studies have indicated that cost stickiness constitutes an integral component of managerial incentives in cost control and cost management. The r esults of their study suggest that real earnings management is associated with a reduction in discretionary expenditures and a decrease in cost VWLFNLQHVV 0RUHRYHU WKH ILQGLQJV LQGLFDWH WKDW PDQDJHUV· VKRUW - term orientation has a negative and statistical ly significant relationship with cost stickiness.</p>
<p>Brandak et al. [28] LQDVWXG\WLWOHG´ The effect of financial factors on m anagers Myopia in companies listed on Tehran stock exchange µUHSRUWHGWKDWP\RSLFPDQDJHULDODFWLYLWLHVPD\JHQHUDWHIDYRUDEOHVKRUW - term outcomes, while their adverse consequences emerge in the long run, as capital markets are not always capable of accurately recognizing the implications of myopia at the time of occurrence. Managers with a short - term orientation, when confronted with earnings below expectations, may temporarily address such shortfalls by cutting Research And Developmen t (R&amp;D)</p>
<p>and marketing expenditures; however, such interventions are not effective in the long term. The statistical results of the study indicated a negative and statistically significant relationship between financial factors and MYO .  Parsian et al. [29] found that capital market pressures and the structure of managerial compensation in short - term - oriented managers significantly reduce the level of voluntary disclosure.</p>
<p>Kiamehr and Galdipour [30] , XVLQJ GDWD IURP ,UDQLDQ OLVWHG ILUPV FRQFOXGHG WKDW PDQDJHUV· VKRUW - term orientation is associated with earnings management practices and a reduction in financial reporting transparency. Fadayi Nejad and Delshad [31] , in a study examining the effect of MYO on the future financial performance of companies listed on the Tehran stock exchange , based on a sample of 117 firms, reported that MYO has a positive and statistically significant effect on future financial performance. In other words, the presence of MYO was associated with an improvement in the future financial performance of the sampled firms.</p>
<p>Rezaei and Yazdi [32] LQDVWXG\HQWLWOHG´ The effect of management myopia on the relationship between product market competition and the risk of management operational decisions µ IRXQG WKDW MYO has a negative and statistically significant effect on product market competition. Tamradi et al. [33] concluded that the phenomenon of short - termism or MYO has led to the neglect of fundamental factors and long - term investment horizons in the stock market, with a shift toward short - term daily returns. Their statistical results confirmed the existence of MYO in the Iranian capital market and indicated its inefficiency.</p>
<p>Foroughi and Alidadi Shams a badi [34] , in a study examining the impact of board interlocking on voluntary disclosure and earnings quality, found that board interlocking has a positive effect on earnings quality, improving the quality of reported earnings in the sample firms. They also reporte d that board interlocking positively affects voluntary disclosure, as shared board members encourage managers to disclose more voluntary information.</p>
<p>Hashemi and Ahmadi [35] LQDVWXG\WLWOHG´ The impact of board characteristics on voluntary disclosure of financial information µ VKRZHG WKDW PDQDJHUV ZLWK VKRUW - term tendencies are less inclined to disclose voluntary and strategic information. &amp;RQVLGHULQJERWKGRPHVWLFDQGLQWHUQDWLRQDOVWXGLHVPDQDJHUV·VKRUW - term orientation is generally recognized as a negative factor affecting information transparency and the level of voluntary disclosure. Recent research indicates that managers under short - term performance pressure are less likely to provide financial forecasts, strategic information, and voluntary reports, which can lead to increased information asymmetry and reduced market efficiency.</p>
<p> Taghipour et al. | Acc. Aud. Appl. 3 ( 3 ) ( 2026 ) 179 - 19 5 Arya and Ramanan [9] , in his research, concluded that managerial short - term focus (myopia) is typically regarded as detrimental to firm value. However, by developing a model of voluntary disclosure in which strategic considerations in both capital and product markets are inco rporated, he shows that myopic managerial behavior may also enhance long - term firm value. Specifically, cost disclosure by a long - term - oriented manager is entirely aligned with firm interests, whereas a short - term - oriented manager is more inclined to discl RVHLQIRUPDWLRQWKDWEHQHILWVFXVWRPHUVEXWLVGHWULPHQWDOWRWKHILUP·VLQWHUHVWV,QRWKHU ZRUGVFXVWRPHUVWHQGWRSHUFHLYHGLVFORVXUHVPDGHE\P\RSLFPDQDJHUVDVPRUHIDYRUDEOHRU´FXVWRPHU - IULHQGO\µ Chintrakarn  et al.</p>
<p>[36] , in a study focusing on corporate governance and MYO , argue that firms with weaker corporate governance structures tend to exhibit a higher degree of MYO . In contrast, strong corporate JRYHUQDQFHHQKDQFHVH[HFXWLYHV·LQFHQWLYHVWRSXUVXH R&amp;D projects and long - term investments, which in turn reduces MYO . Kraft and Vashishta [37] , in their examination of the effect of financial reporting frequency on MYO , state that increased reporting frequency leads to a reduction in large - scale economic investments, lower Sales Growth ( GROWTH )</p>
<p>, and the emergence of myopic managerial behavior. Chen et al. [38] investigated the role of institutional investors in the emergence of MYO in emerging markets (Taiwan). Their findings indicate that in emerging markets, managers reduce R&amp;D expenditures in order to meet short - term earnings targets. They further show that internal institutional investors exacerbate MYO , whereas external institutional investors act as a mitigating mechanism, functioning as a safeguard against the reduction of R&amp;D expenditures driven by MYO .</p>
<p>Petersen and Plenborg [39] examined the impact of voluntary disclosure on information asymmetry in industrial firms listed on the Copenhagen Stock Exchange. Their sample comprised 81 industrial firms in the Danish capital market. The findings revealed a negative relationship betwee n the level of voluntary disclosure and measures of information asymmetry. Moreover, bid ² ask spread and turnover ratio were identified as appropriate proxies for measuring information asymmetry.</p>
<p>Based on the theoretical foundations and the objective of the study, the following hypothesis is formulated: Research Hypothesis: There is a significant relationship between MYO and voluntary information disclosure.</p>
</sec>
<sec><title>3 Methodology</title><p>This study adopts a mixed methodological approach combining deductive and inductive reasoning. In the first stage, the theoretical foundations and prior literature were developed through a comprehensive review of library resources, scholarly articles, and reputable academic databases, leading to the deductive formulation of the research theoretical framework. In the subsequent stage, real - world firm - level data were extracted and analyzed to test the hypotheses and evaluate the proposed research model, refle cting an inductive component of the study. The financial data required for the analysis were collected from audited financial statements, annual reports, and company prospectuses available on the Tehran Stock Exchange website. In addition, data related to PDQDJHUV·SROLWLFDOFRQQHFWLRQVZHUHJDWKHUHGIURPYDULRXVVRXUFHVLQFOXGLQJRIILFLDOGDWDEDVHV and publicly available documents.</p>
</sec>
<sec><title>3.1 Statistical Population</title><p>The statistical population of this study consists of all companies listed on the Tehran Stock Exchange. A sample refers to a limited subset of the population that is representative of its main characteristics [40] . In order to ensure that the selected sample appropriately represents the target population, a systematic elimination (filtering) method was employed. Accordingly, the following criteria were applied: I.</p>
<p>Companies not listed on the Tehran Stock Exchange during the study period 2017 ² 2024. II. Companies that were listed on the Stock Exchange after 2017. -  III. Companies belonging to holding firms, investment companies, financial intermediaries, banks, or leasing institutions. IV. Companies whose fiscal year did not end on March 20, or those that changed their fiscal year during the study period.</p>
<p>V. Companies with missing or unavailable required data within the study period. VI. Companies that experienced a trading suspension exceeding six months during the study period. Companies that met all of the above criteria were included in the final sample, while the rest were excluded from the study. The sample selection process is presented in Table 1. Table 1. Sample c ompanies. Total Companies Listed on the Tehran Stock Exchange at the E nd of 2024 603 Companies not listed during the study period (2017 ² 2024)</p>
<p>(217) Companies listed after 2017 (134) Holding companies, investment firms, financial intermediaries, banks, and leasing companies (41) Companies whose fiscal year did not end on March 20 or that changed fiscal year during the study period (51) Companies with trading suspension longer than six months during the study period (11) Final sample size 149 After applying all the aforementioned criteria, a total of 149 firms remain as the screened population.</p>
</sec>
<sec><title>4 Data Collection</title><p>For data analysis, both descriptive and inferential statistical methods are employed. Following preliminary calculations conducted in Microsoft Excel spreadsheet software, the required regression models are estimated using SPSS 21 and STATA 14. Prior to hy pothesis testing and model estimation, the normality of the data distribution is examined. Subsequently, the appropriate estimation technique is determined using the Chow and Hausman tests.</p>
</sec>
<sec><title>4.1 Research Regression Model and Definitions of Variables</title><p>In the present study, the following regression model is employed to test the proposed hypothesis:  ?? ? ? ? ? ? ?  ?? ? ? ?  ?? ? ? ?  ?? ? ? ?  ?? ? ? ?  ?? ? ? ?  ?? ? (1) ? ?  ?? ? ? ?? . 4.1.1| Dependent v ariable information disclosure Voluntary Disclosure Score ( VDSCORE ) . Voluntary disclosure refers to information that firms are not legally required to disclose; however, companies choose to report such information on a discretionary basis in order to enhance transparency and build trust among investors and other stakeholder s. To measure the extent of voluntary disclosure in each firm, a disclosure checklist was first developed based on the study of Pourheydari and Hosseinpour [41] , covering voluntary disclosure items in financial statements as well as other internal and external corporate reports. The final checklist consisted of 60 voluntary disclosure items. Subsequently, by examining annual financial statements, explanatory note s, and general assembly reports, each item included in the checklist was assigned a value of one if it was disclosed by the firm, and zero otherwise. Finally, the voluntary disclosure index was computed by dividing the total number of disclosed items by th e total number of items expected to be disclosed. In general, the voluntary disclosure index is calculated as follows: ??</p>
<p> ? ? ? ? ? . ( 2 ) ? ?  Taghipour et al. | Acc. Aud. Appl. 3 ( 3 ) ( 2026 ) 179 - 19 5 In this equation, if a disclosure item has been reported, ( d_i ) is assigned a value of one; otherwise, it is assigned a value of zero. The maximum number of disclosure items (( n )) is equal to 60 as presented in Table 2. Table 2 . presents the general categories and items included in the voluntary disclosure checklist used in this study.</p>
<p>Row Main Title Checklist of Voluntary Disclosure Items 1 General corporate information Summary of company history organizational chart and description of the organizational structure office addresses, factory address, and correspondence and communication addresses with the company website addresses, email address, telephone, fax 2 Corporate g overnance Details regarding the chairman of the board of directors (background, level of education, areas of expertise, and business experience)</p>
<p>details regarding other members of the board of directors (background, level of education, areas of expertise, and business experience) details regarding the Chief Executive Officer ( CEO ) of the company (background, level of education, areas of expertise, and business experience) . List of senior executives (excluding board members and the CEO) photographs of the board of directors and the CEO percentage of managerial ownership in the company number of board of directors meetings held and their dates 3 Statement of WKHFRPSDQ\·V Description and statement of the future vision vision, objectives, and strategies statement of corporate objectives and strategies actions undertaken during the year to achieve objectives planned actions for achieving objectives in future years 4 Company f orecasts Forecast of future sales comparison of previous sales forecasts with actual sales forecast of future profits comparison of previous profit forecasts with actual profits forecast of future cash receipts and cash payments forecast of capital expen ditures (CapEx)</p>
<p>forecast of market share Information related to financial Profitability ratios and operational analysis of the liquidity ratios 5 company activity ratios market valuation ratios leverage ratios break - even sales of products or services R&amp;D Description of R&amp;D projects company policies regarding R&amp;D 6 status of R&amp;D activities number of employees engaged in R&amp;D description of new product development -  Table 2. Continued.</p>
<p>Row Main Title Checklist of Voluntary Disclosure Items General risk management Description and explanation of overall risk and 7 general corporate risk information and details regarding other risks (including liquidity risk, inflation risk, interest rate risk, and other related risks) 8 Information related to employees Average salary per employee average age of employees classification of employees by job function and area of activity classification of employees by gender and educational level employee recruitment information employee training policies training - related expenditures number of employees trained workplace accidents and safety measures expenditures on safety measures details of welfare benefits provided to employees and management 9 Social and environmental reports Product safety, health, and quality of products quantitative and qualitative environmental protection programs social programs charitable contributions (financial donations)</p>
<p>value added statement 10 Key non - financial statistics Qualitative and quantitative analysis of competitors qualitative and quantitative analysis of market share of products or services quantitative GROWTH rate description of customers 11 Market i nformation Stock price and its trend trading volume of shares and its trend market value of equity and its trend percentage ownership of major shareholders type of share ownership (individual vs.</p>
<p>institutional investors )</p>
</sec>
<sec><title>4.2 Independent Variable: Managerial Short-Termism (Managerial Myopia)</title><p>In line with the studies of Anderson and Hsiao [42] , Tabti [43] , and Moradi and Bagheri [7] - termism is defined as a binary variable (0 and 1). It takes the value of (1) if managers exhibit short - term - oriented behavior, and (0) otherwise. The measurement procedure of managerial short - termism is specified as follows: It is expected that when firms achieve strong financial performance, they obtain the opportunity and resources necessary to invest in long - term assets for the future. Accordingly, firms that simultaneously report higher - than - expected returns and lower - than - normal levels of marketing and R&amp;D expenditures are considered to exhibit MYO (i.e., short - term managerial behavior). To identify and classify myopic firms, it is first necessary to estimate the expected levels of Return o n Assets ( ROA )</p>
<p>, Marketing Expenses ( MKTG ) , and R&amp;D expenditures for each firm over time. In this regard, following Anderson and Hsiao [42] , the following models are employed:  ?? ? ? ? ? ? ?  ?? ? ? ? ? ?? .  ?? ? ? ? ? ? ?  ?? ? ? ? ? ( 3 ) ?? ? ? ?? ? ? ? ? ? ? ? ?? ? ? ? ? ?? ?  Taghipour et al. | Acc. Aud. Appl. 3 ( 3 ) ( 2026 ) 179 - 19 5 In these relationships, ROA, MKTG, and R&amp;D respectively refer to ROA (net income divided by total assets), MKTG , and R&amp;D expenditures for firm i in period t.</p>
<p>It should be noted that MKTG and R&amp;D expenditures DUHH[WUDFWHGIURPWKHH[SODQDWRU\QRWHVGLVFORVHGLQILUPV·ILQDQFLDOUHSRUWV$IWHUHVWLPDWLQJWKHH[SHFWHG values of ROA , MKTG , and R&amp;D expenditures using the above models, the predicted values are compared with the actual observed figures. Subsequently, based on the prediction errors obtained from these three models, firms are classified into four main groups as presented in Table 3.</p>
<p>Table 3. Classification of the sample firms. Group 1 Group 2 Group 3 Group 4 Difference in ROA Difference in ROA Difference in ROA Difference in ROA Positive difference Positive difference Positive difference between Negative between predicted and between predicted and predicted and actual ROA difference between actual ROA actual ROA predicted and actual values Difference in marketing Only one of the Positive difference between - and R&amp;D e xpenditures differences in marketing or predicted and actual R&amp;D expenditures is marketing and R&amp;D negative e xpenditures Among these groups, Group 1 is classified as consisting of firms with myopic management. In this group, despite the positive performance of the firm and the increase in ROA , marketing and R&amp;D expenditures have decreased. Finally, MYO is represented using a dummy variable, whereby firms classified in Group 1 are assigned a value of one, and all other firms are assigned a value of zero.</p>
</sec>
<sec><title>4.3 Control Variables</title><p>)LUPVL]HLVPHDVXUHGE\WKHQDWXUDOORJDULWKPRIWKHFRPSDQ\·VWRWDODVVHWV Size=ln (Total a ssets of the f irm) . In the present study, financial leverage is measured using the following formula: ?????  ???????????  ? . ( 4 ) ?????  ?????? ROA : ROA is measured as Earnings Before Interest a nd Taxes (EBIT) divided by total assets. Loss (LOSS): This is a dummy variable that takes the value of one if the firm reports a net LOSS , and zero otherwise.</p>
<p>GROWTH : GROWTH is measured as the change in sales divided by sales in the previous year. Industry (IND): This is an IND dummy variable.</p>
</sec>
<sec><title>5 Findings</title><p>To examine the general characteristics of the variables and conduct a more precise analysis, it is necessary to review the descriptive statistics. Table 4 presents the descriptive statistics of the variables used in the study. The descriptive statistics are reported for a sample of 149 firms over an 8 - year period (2017 ² 2024). Table 4. Descriptive statistics of research variables . Variable Symbol Mean S .</p>
<p>D Median Minimum Maximum D VDScore 0.671 0.040 0.666 0.433 0.85 Firm s ize Size 15.838 1.747 15.639 11.379 22.216 Financial l everage Lev 0.508 0.234 0.497 0.031 1.988 Return on a ssets ROA 0.218 0.172 0.205 - 0.581 0.675 Sales g rowth Growth 0.508 0.563 0.421 - 0.909 6.594 Board i ndependence IND 0.627 0.192 0.6 0.2 1 The primary measure of central tendency is the mean, which represents the equilibrium point and center of -  gravity of a distribution and serves as an appropriate indicator of data centrality. For instance, the mean value of the financial leverage variable is 0.508, indicating that most observations are concentrated around this point. In general, dispersion para meters measure the extent to which observations deviate from one another or from the mean. Among the most important measures of dispersion is the standard deviation. The standard deviation of firm size is 1.747, while that of voluntary disclosure is 0.040, indicating that these two variables exhibit the highest and lowest levels of dispersion, respectively. The minimum and maximum values indicate the lowest and highest observed values for each variable.</p>
<p>For example, the maximum value of financial leverage is 1.988. The median is the value that divides a statistical distribution into two equal parts. The median value of financial leverage is 0.497, indicating that half of the firms have leverage above 49% and half have leverage below 49%. Skewness is a measure of the asymmetry of a distribution. A perfectly symmetric distribution has a skewness of zero; positive skewness indicates a distribution skewed toward higher values, whereas negative skewness indicat es a distribution skewed toward lower values. As observed, some variables such as ROA exhibit left skewness, while others such as board independence show right skewness. Kurtosis reflects the peakedness or flatness of a distribution, indicating the height of the distribution at its maximum point. The kurtosis value for a normal distributio n equals 3.</p>
<p>Positive kurtosis indicates a distribution with a sharper peak than the normal distribution, while negative kurtosis indicates a flatter distribution. The highest kurtosis is observed for the GROWTH variable, with a value of 34.121. Table 5. Frequency distribution of qualitative variables of the study . Variable name Code Description Frequency C ount Frequency P ercentage 0DQDJHUV·VKRUW - term 0 Managers exhibit short - 783 65.69 termism.</p>
<p>1 Managers exhibit short - 409 34.31 termism. LOSS 0 The companies have not 1108 92.95 incurred losses. 1 The companies have not 84 7.05 incurred losses. As shown in Table 5 , the total number of firm ² year observations under examination is 1,192. Among these, 409 firm ² \HDU REVHUYDWLRQV UHSUHVHQWLQJ  SHUFHQW LQGLFDWH WKDW WKH ILUPV· PDQDJHUV H[KLELW VKRUW - termism. In addition, 84 firm ² year observations, equivalent to 7.05 percent, show that the firms incurred losses.</p>
</sec>
<sec><title>5.1 Hypothesis Testing</title><p>In this section, the data are analyzed using inferential statistical methods. The analysis is conducted using a panel data approach within a combined (pooled) data framework. First, the stationarity properties of the variables are examined. Subsequently, t he Chow test is employed to determine whether a panel model with individual effects should be used or whether a pooled model without effects is more appropriate.</p>
<p>Furthermore, to decide between fixed - effects and random - effects specifications, the Hausman te st is applied. Finally, after estimating the model based on the selected specification, the regression assumptions are examined and the model is re - estimated to obtain the final fitted form.</p>
</sec>
<sec><title>5.2 Stationarity Testing</title><p>According to econometric literature, it is necessary to examine the stationarity of variables prior to model estimation. Tests such as the Dickey ² Fuller and Phillips ² Perron are generally not recommended for panel data due to their relatively low power in d etecting stationarity. To ensure more reliable inference, stronger stationarity tests for panel models are suggested; accordingly, the data are first aggregated and then stationarity is assessed [44] . To test for unit roots in panel data, the Hadri test can be employed, and its results are presented in Table 6.</p>
<p> Taghipour et al. | Acc. Aud. Appl. 3 ( 3 ) ( 2026 ) 179 - 19 5 Table 6. Stationarity t est (Hadri) for all research variables. Variable Name Symbol Test Statistic Significance Level Result VDScore 5.9872 0.0000 Stationary Firm size Size 42.4970 0.0000 Stationary Financial leverage Lev 16.0187 0.0000 Stationary Return on assets ROA 11.4387 0.0000 Stationary Sales growth Growth 9.2121 0.0000 Stationary Board independence IND 7.3252 0.0238 Stationary Based on Table 6 , it can be observed that the significance levels of all variables in the Hadri stationarity test are below 5 % , indicating that all variables are stationary.</p>
</sec>
<sec><title>5.3 F-Limer ( Chow ) And Hausman Tests</title><p>Given the arguments presented in Chapter Three, the data in this study are of a panel (combined) nature. However, before estimating the models, it is necessary to determine the appropriate estimation approach (pooled or panel). For this purpose, the F - Lime r (Chow) test is employed. If the p - value of the test exceeds 5 % (i.e., the test statistic is lower than the critical value), the pooled estimation approach is selected.</p>
<p>Conversely, if the p - value is below 5 % , a panel data approach is preferred. The panel data approach itself can be estimated using either a fixed - effects or a random - effects model. To determine the appropriate specification, the Hausman test is applied. When the p - value of the Hausman test is l ess than 5 % , the fixed - effects model is selected; otherwise, the random - effects model is used for model estimation.</p>
<p>Table 7 . presents the results of the F - Limer (Chow) and Hausman tests. Test Test Statistic Probability (P - Value) Result F - Limer (Chow) 2.39 0.0000 Panel data model is accepted Hausman 17.87 0.0126 Fixed - effects model (intercept) is accepted As reflected in Table 7 , the probability value of the F - Limer (Chow) test for the research model is below 5 % . Therefore, the panel data estimation approach is adopted for all models. Moreover, given that the probability value of the Hausman test is also less than 5 % , the fixed - effects model is employed for estimating the model.</p>
</sec>
<sec><title>5.4 Heteroskedasticity Test</title><p>When the error terms are heteroskedastic, the standard deviation of the intercept becomes substantially large. The standard deviations of slope coefficients are also affected by the presence of heteroskedasticity. For instance, if the variance of the error terms is positively related to the squared values of an explanatory variable, the standard error of the corresponding coefficient will become considerably large [45] .</p>
<p>Null hypothesis of this test is as follows: ? : The variance of the error terms is homoskedastic (constant variance). Alternative hypothesis: ? : The variance of the error terms is heteroskedastic (non - constant variance). Table 8. Results of the Heteroskedasticity t est. Test Statistic Significance Level Test Result 56.19 0.0000 Existence of heteroskedasticity The results presented in Table 8 indicate that the significance level of the test in all models is below 5 % , which confirms the presence of heteroskedasticity in the error terms. This issue has been addressed in the final estimation of the research model through the application of the Generalized Least Squares ( GLS ) procedure.</p>
<p>- </p>
</sec>
<sec><title>5.5 Serial Autocorrelation</title><p>One of the fundamental assumptions of Ordinary Least Squares ( OLS ) estimation is the absence of autocorrelation (serial correlation) among error terms. Since the values taken by explanatory variables in the model are random, the error terms should also be random in nature. In other words, there should be no systematic p attern or correlation among error terms, and they should not exhibit any regular behavior over time. If such a pattern exists, it implies that the error terms are not purely random and may be dependent on the explanatory variables. Autocorrelation may occu r both across different time periods and across cross - sectional units [46] .</p>
<p>The statistical hypotheses of the test are as follows: ? : No autocorrelation exists . ? : Autocorrelation exists . Table 9. Results of the s erial Autocorrelation t est. Test Statistic Significance Level Test Result 86.730 0.0000 Presence of autocorrelation Based on the results reported in Table 9 , it can be observed that the significance level of the test for the research model is below 5 % , indicating the presence of serial autocorrelation in the model. This issue has been addressed in the final estimation of the research model by applying an autocorrelation correction procedure.</p>
</sec>
<sec><title>5.6 Hypothesis Testing Results</title><p>The research hypothesis states that there is a significant relationship between MYO and voluntary disclosure of information. Accordingly, the hypothesis can be formulated as follows: H0: There is no significant relationship between MYO and voluntary information disclosure. H1: There is a significant relationship between MYO and voluntary information disclosure. The regression model is specified as follows:  ??</p>
<p>? ? ? ? ? ?  ?? ? ? ?  ?? ? ? ?  ?? ? ? ?  ?? ? ? ?  ?? ? ? ?  ?? ? ? ?  ?? ? ( 5 ) ? ?? . Table 10. Results of the Hypothesis testing. Variables Symbol Coefficient Standard Error Z - statistic Significance Level Multicollinearity MYO 0.003 0.001 3.88 0.000 1.51 m yopia Firm s ize Size 0.002 0.0002 9.84 0.000 1.03 Financial Lev 0.007 0.001 3.84 0.000 1.33 l everage Return on ROA - 0.008 0.002 - 2.75 0.006 1.97 a ssets Loss LOSS - 0.002 0.001 - 1.64 0.101 1.34 Sales g rowth Growth - 0.0006 0.0007 - 0.83 0.405 1.05 Board IND 0.003 0.001 1.83 0.067 1.01 i ndependence C 0.630 0.003 166.03 0.000  Other Statistical Diagnostics Test Test s tatistic Significance l evel Test r esult Breusch - Pagan Test 56.19 0.0000 Presence of heteroskedasticity Breusch - Godfrey Test 86.730 0.0000 Presence of serial autocorrelation Durbin - Watson 2.1 Coefficient of 0.5402 d etermination (R²)</p>
<p>Wald s tatistic 349.27 Significance l evel 0.0000  Taghipour et al. | Acc. Aud. Appl. 3 ( 3 ) ( 2026 ) 179 - 19 5 The results reported in Table 10 indicate that the MYO variable has a positive coefficient and a significance level below 5 % . Therefore, there is a significant relationship between managerial short - termism and voluntary disclosure of information, and the first hypothesis is accepted at the 95 % confidence level. The control variables of firm size and financial leverage have significance levels below 5 % and positive coefficients; thus, they have a direct and significant relationship with the dependent variable. In contrast, ROA shows a significance level below 5 % with a negative coefficient, indicating a negative and significant relationship with the dependent variable. The coefficient of determination (R²) is 54 % , indicating that the independent and control variables included in the model explain 54 % of the variations in the dependent variable. The Wald statistic equals 349.27 with a significance level below 5 % , confirming that the fitted model is statistically significant and adequately specified. The Durbin - Watson statistic lies between 1.5 and 2.5, indicating the absence of first - order autocorrelation in the model. The multicollinearity diagnostics show that no Variance Inflation Factor ( VIF ) problem exists among the model variables.</p>
</sec>
<sec><title>6 Conclusion and Recommendations</title><p>The present study aimed to examine the impact of managerial short - term orientation on the level of voluntary disclosure in firms. In this regard, the theoretical foundations related to managerial short - termism, opportunistic behavior, financial reporting i ncentives, and the role of voluntary disclosure within corporate reporting systems were reviewed. The literature review indicated that MYO FDQ LQIOXHQFH ILUPV· VWUDWHJLF decision - making, financial policies, and the level of transparency in corporate reporting. In the empirical stage, financial and non - financial data of firms listed on the Tehran Stock Exchange over the defined study period w ere extracted. After constructing the final dataset, the research hypotheses were tested using econometric methods. The measurement of managerial short - termism was based on indicators used in prior literature, while voluntary disclosure was measured using content - based checklists and reports published in the CODAL disclosure system. The results of hypothesis testing show that MYO has a positive coefficient and a significance level below 5 % . Therefore, there is a significant relationship between managerial short - termism and voluntary disclosure, and the first hypothesis is accepted at the 95 c % nfidence level. The control variables of firm size and financial leverage have positive coefficients with significance levels below 5 % , indicating a direct and significant relationship with the dependent variable.</p>
<p>In contrast, ROA has a negative coefficient with a significance level below 5 % , indicating a significant inverse relationship with the dependent variable. The coefficient of determination (R²) equals 54 percent, indicating that the independent and control variables in the model explain 54 % of the variation in the dependent variable. The Wald statistic is 349.27 with a significance level below 5 % , confirming the overall statistical significance and adequacy of the fitted model. The Durbin ² Watson statistic lies between 1.5 and 2.5, indicating the absence of first - order autocorrelation. Multicollinearity diagnostics further indicate that no VIF prob lem exists among the variables.</p>
<p>Overall, the study provides a clear picture of the role of managerial behavioral mechanisms in the quality of ILQDQFLDOUHSRUWLQJDQGKLJKOLJKWVWKHLPSRUWDQFHRIFRQVLGHULQJPDQDJHUV·SV\FKRORJLFDODQGPRWLYDWLRQDO characteristics in analyzing corporate d isclosure systems. The analysis of the findings shows that managerial short - termism has a significant effect on voluntary disclosure. In other words, managers with a short - term orientation, due to their focus on immediate outcomes and short - term market opp ortunities, tend to disclose less supplementary and voluntary information [47] . The results are consistent with prior domestic and international studies, all of which emphasize that managerial short - termism reduces the level of voluntary disclosure. For example, Hassan [48] found that managers operating under short - term pressures tend to disclose less forward - looking and discretionary information.</p>
<p>Similarly, Tehrani and Delshad [49] reported that managerial focus on short - term profitability reduces reporting transparency and limits voluntary disclosure. Rahmani and Ghashghaei [50] also confirmed that MYO is associated with earnings management and lower disclosure quality. International scholars such as Matsumoto [51] argue that short - term - oriented managers often avoid extensive voluntary disclosures to -  prevent increasing future investor expectations. Overall, these studies suggest that managerial short - termism is a key determinant of reduced voluntary disclosure and is widely supported in the literature. Finally, the analysis of control variables such as firm size, financial leverage, and ROA indicated that: Firm size and financial leverage have a positive and significant relationship with voluntary disclosure. In other words, larger firms and those with higher levels of debt tend to provide more extensive disclosure.</p>
<p>ROA shows a negative and significant relationship with voluntary disclosure, which may indicate that firms with higher profitability may be less inclined to provide additional information due to their focus on short - WHUP SURILWDELOLW\ 7KH PRGHO·V FRHIILFL ent of determination (R² = 0.54) indicates that 54 percent of the variation in voluntary disclosure is explained by the independent and control variables included in the model.</p>
<p>This finding highlights the importance of managerial short - term orientation as DGHWHUPLQLQJIDFWRULQILUPV· disclosure decisions. Overall, the findings suggest that managerial behavioral and psychological characteristics, beyond financial and structural factors, play a key role in the transparency and quality of financial reporting. Therefore, paying DWWHQWLRQWRPDQDJHUV·SHUVRQDOD nd motivational attributes is highly important for policymakers, regulatory bodies, and investors. Based on the research findings, several practical recommendations are proposed for managers, investors, and regulatory authorities: Developing a long - term orientation in managerial decision - making, particularly in information disclosure policies, can lead to improved transparency and reduced information asymmetry. It is recommended to establish performance - based incentives oriented tow ard long - term outcomes and to continuously evaluate the impact of short - WHUPGHFLVLRQVRQWKHILUP·VUHSXWDWLRQDQGFUHGLELOLW\ 0RUHRYHU DWWHQWLRQ WR PDQDJHUV· EHKDYLRUDO FKDUDFWHULVWLFV LV LPSRUWDQW ZKHQ DQDO\]LQJ LQIRUPDWLRQ DQG making investment decisions.</p>
<p>The use of managerial behavioral indicators (such as short - term orientation) as a complementary criterion in firm risk assessment is recommended. The design and implementation of incentive policies for voluntary disclosure, particularly in firms with short - term - oriented managers, can enhance the quality of financial reporting. Furthermore, the development of monitoring and evaluation frameworks for managerial behavior and its relationship with the level of information disclosure is recommended as part of corporate governance mechanisms. The present study also opens up several av enues for future research, which may provide guidance for subsequent studies: Future research can utilize longer time horizons and include a larger number of firms in order to provide more robust and generalizable findings.</p>
<p>Subsequent studies may also examine the effects of long - term orientation, risk aversion, and other managerial behavioral characteristics on voluntary disclosure and financial reporting quality. Furthermore, it is possible to investigate the impact of managerial short - termism across different industries and diverse economic environments, thereby accounting for contextual and structural effects. Future studies may also analyze the role of corporate governance mechanisms , such as board composition, audit committees, and institutional ownership , as moderating factors in the relationship between managerial short - term orientation and voluntary disclosure.</p>
</sec>
<sec><title>Conflict of Interest</title><p>The authors have no relevant financial or non - financial interests to disclose.</p>
</sec>
<sec><title>Data Availability</title><p>The research data supporting this study are available upon reasonable request from the corresponding author.  Taghipour et al. | Acc. Aud. Appl. 3 ( 3 ) ( 2026 ) 179 - 19 5</p>
</sec>
<sec><title>Funding</title><p>This research did not receive any specific grant from funding agencies in the public, commercial, or not - for - profit sectors.</p>
</sec>
<sec><title>References</title><p>[1] Cianciaruso, D., &amp; Sridhar, S. S. (2018). Mandatory and voluntary disclosures: Dynamic interactions. Journal of accounting research , 56 (4), 1253 ? 1283. https://doi.org/10.1111/1475 - 679X.12210 [2] Bagnoli, M., &amp; Watts, S. G. (2015). Delegating disclosure and production choices. The accounting review , 90 (3), 835 ? 857. https://doi.org/10.2308/accr - 50944 [3] Langberg, N., &amp; Sivaramakrishnan, K. (2010). Voluntary disclosures and analyst feedback.</p>
<p>Journal of accounting research , 48 (3), 603 ? 646. https://doi.org/10.1111/j.1475 - 679X.2009.00360.x [4] Kim, J. B., Shroff, P., Vyas, D., &amp; Wittenberg ?? ?? ???????? ? ?  ? ? ?? Journal of accounting research , 56 (3), 953 ? 988. https://doi.org/10.1111/1475 - 679X.12194 [5] Irani, R. M., &amp; Oesch, D. (2016). Analyst coverage and real earnings management: Quasi - experimental evidence.</p>
<p>Journal of financial and quantitative analysis , 51 (2), 589 ? 627. https://doi.org/10.1017/S0022109016000156 [6] Arya, A., Mittendorf, B., &amp; Ramanan, R. N. V. (2019). Beyond profits: The rise of dual - purpose organizations and its consequences for disclosure. The accounting review , 94 (1), 25 ? 43. https://doi.org/10.2308/accr - 52166 [7] Moradi, J., &amp; Bagheri, H. (2014). A comparative investigation into the effects of management myopia and earnings management on stock return.</p>
<p>Accounting and auditing reviews , 21 (2), 229 - 250. ( In Persian ). [8] Ladika, T., &amp; Sautner, Z. (2020). Managerial short - termism and investment: Evidence from accelerated option vesting. Review of finance , 24 (2), 305 ? 344. https://doi.org/10.1093/rof/rfz012 [9] Arya, A., &amp; Ramanan, R. N. V. (2023). Endogenizing discretion in disclosures. Management science , 69 (6), 3730 ? 3747. https://doi.org/10.1287/mnsc.2022.4505 [10] Laverty, K. J. (2004).</p>
<p>?¢??¢????????¢? in valuing the long term. Management decision, 42 (8), 949 ? 962. https://doi.org/10.1108/00251740410555443 [11] Chen, C., Wang, T., &amp; Jia, X. (2023). Short - termism in financial decision - making: Uncovering the influence of managerial myopia on corporate financial asset allocation through MD&amp;A textual analysis. International review of financial analysis , 90 , 102900. https://doi.org/10.1016/j.irfa.2023.102900 [12] Healy, P. M., &amp; Palepu, K. G. (2001). Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature.</p>
<p>Journal of accounting and economics , 31 (1 ? 3), 405 ? 440. https://doi.org/10.1016/S0165 - 4101(01)00018 - 0 [13] Berger, P. G. (2011). Challenges and opportunities in disclosure research ? ?????? reporting environment: Review of the recent literature. Journal of accounting and economics , 51 (1 ? 2), 204 ? 218. https://doi.org/10.1016/j.jacceco.2011.01.001 [14] Bhojraj, S., Hribar, P., Picconi, M., &amp; McInnis, J. (2009). Making sense of cents: An examination of firms that marginally miss or beat analyst forecasts.</p>
<p>The journal of finance , 64 (5), 2361 ? 2388. https://doi.org/10.1111/j.1540 - 6261.2009.01503.x [15] Kim, J. M. (2023). Uncertainty about managerial horizon and voluntary disclosure. Review of accounting studies , 28 (2), 615 ? 657. https://doi.org/10.1007/s11142 - 021 - 09652 - 2%0A%0A [16] Rajabi, E., &amp; M, A. (2025). Senior management experience and bank capital structure: Empirical e vidence from the Iranian s tock e xchange.</p>
<p>Financial and banking strategic studies , 3 (3), 264 - 279. ( In Persian ). https://doi.org/10.22105/fbs.2025.537816.1164 [17] Jia, X., &amp; Menon, R. (2023). Shareholder short - termism, corporate control and voluntary disclosure. Management science , 69 (1), 702 ? 721. https://doi.org/10.1287/mnsc.2022.4357 [18] Cao, Q., Ju, M., Li, J., &amp; Zhong, C. (2022). Managerial myopia and long - term investment: E vidence from China.</p>
<p>Sustainability , 15 (1), 708. https://doi.org/10.3390/su15010708 [19] Ispano, A. (2024). Selective disclosure. Available at SSRN 4793394 . https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4793394 -  [20] Bushee, B. J., &amp; Noe, C. F. (2000). Corporate disclosure practices, institutional investors, and stock return volatility. Journal of accounting research , 171 ? 202. https://doi.org/10.2307/2672914 [21] Beyer, A., Cohen, D. A., Lys, T. Z., &amp; Walther, B. R. (2010). The financial reporting environment: Review of the recent literature.</p>
<p>Journal of accounting and economics , 50 (2 ? 3), 296 ? 343. https://doi.org/10.1016/j.jacceco.2010.10.003 [22] Stein, J. C. (1989). Efficient capital markets, inefficient firms: A model of myopic corporate behavior. The quarterly journal of economics , 104 (4), 655 ? 669. https://doi.org/10.2307/2937861 [23] Narayanan, M. (1985). Managerial incentives for short - term results. The journal of finance , 40 (5), 1469 ?</p>
<p>1484. https://doi.org/10.1111/j.1540 - 6261.1985.tb02395.x [24] Verrecchia, R. E. (2001). Essays on disclosure. Journal of accounting and economics , 32 (1 ? 3), 97 ? 180. https://doi.org/10.1016/S0165 - 4101(01)00025 - 8 [25] Pourheidari, O., &amp; Hossein Pour, H. (2012). Examining the relationship between mandatory and voluntary ? ? ? ? ? ?? ?? Financial management perspective , 2 (5), ( In Persian ).</p>
<p>https://jfmp.sbu.ac.ir/article_94513.html [26] Hajian, N., Anvari Rostami, A. A., Rahmani, A., &amp; Azar, A. (2015). Investigating factors affecting the level of information disclosure of companies listed on the Tehran Stock Exchange. Financial accounting research , 71 - 92. ( In Persian ). https://zenodo.org/records/3958849 [27] Hajiha, Z., Ghaderi, K., &amp; Ghaderi, S. E. D. (2019). The effect of managerial short - termism on cost stickiness of firms listed on Tehran stock exchange.</p>
<p>Journal of asset management and financing , 7 (3), 27 - 44. ( In Persian ). http://amf.ui.ac.ir/article_21185.html [28] Barandak, S., Jamshidi, N., Mohammad Panah, L., &amp; Amini, M. (2020). The effect of financial factors on Managers Myopia in companies listed on Tehran stock exchange. Journal of accounting and management vision , 2 (17), 63 - 78. ( In Persian ). https://www.jamv.ir/article_99487_22a1206737daef1e33b1170d25c540c9.pdf?lang=en [29] Parsian, H., Kazemi, H., &amp; Rezazadeh, J. (2018). Identifying the components of voluntary disclosure between corporate governance system and information asymmetry in companies active in Tehran stock exchange.</p>
<p>Journal of financial economics , 12 (43), 107 - 132. ( In Persian ). https://www.sid.ir/paper/511423/fa [30] Kiamehr, J., &amp; Galdipour, S. (2014). Transparency of financial information and profits of companies listed on the tehran stock exchange. The first national conference on the position of management and accounting in the modern world of business, economy and culture . Golestan, Iran. Civilica. ( In Persian ).</p>
<p>https://civilica.com/doc/313772 [31] ¢??????????????????????¢??????¢????? of companies listed on the Tehran stock exchange. The perspective of financial management , 8 (21), 51 ? 69. ( In Persian ). https://jfmp.sbu.ac.ir/article_95361.html [32] Rezaei, F., &amp; Yazdi, S. (2019). The effect of management myopia on the relationship between product market competition and the risk of management operational decisions.</p>
<p>Specialized quarterly journal of new research approaches in management and accounting , 3 (13), 136 - 149. ( In Persian ). https://civilica.com/doc/946380/ [33] Tamradi, A., Rostaminia, R., Rezaei, Z., &amp; Noshadi, A. (2023). The impact of destructive investor behaviors ? ?? ?? Journal of financial research , 25 (1), 127 - 151. ( In Persian ). https://doi.org/10.22059/frj.2022.342181.1007326 [34] Foroughi, D., &amp; Alidadi Shamsabadi, J. (2017). The impact of a joint board of directors on voluntary information disclosure and earnings quality.</p>
<p>Financial accounting and auditing research , 9 (34), 61 - 84. ( In Persian ). https://www.sid.ir/paper/197972/fa [35] Hashemi, S. A., &amp; Ahmadi, N. (1396). The impact of board characteristics on voluntary disclosure of financial information. National conference on modern research in management and accounting . Isfahan, Iran. Civilica. ( In Persian ). https://civilica.com/doc/761303 [36] Chintrakarn, P., Jiraporn, P., Sakr, S., &amp; Lee, S. M. (2016). Do co - opted directors mitigate managerial myopia? Evidence from R&amp;D investments.</p>
<p>Finance research letters , 17 , 285 ? 289. https://doi.org/10.1016/j.frl.2016.03.025  Taghipour et al. | Acc. Aud. Appl. 3 ( 3 ) ( 2026 ) 179 - 19 5 [37] Kraft, A. G., Vashishtha, R., &amp; Venkatachalam, M. (2018). Frequent financial reporting and managerial myopia. The accounting review , 93 (2), 249 ? 275. https://doi.org/10.2308/accr - 51838 [38] Chen, Y. F., Lin, F. L., &amp; Yang, S. Y. (2015). Does institutional short - termism matter with managerial myopia?</p>
<p>Journal of business research , 68 (4), 845 ? 850. https://doi.org/10.1016/j.jbusres.2014.11.039 [39] Petersen, C., &amp; Plenborg, T. (2006). Voluntary disclosure and information asymmetry in Denmark. Journal of international accounting, auditing and taxation , 15 (2), 127 ? 149. https://doi.org/10.1016/j.intaccaudtax.2006.08.004 [40] Azar, A., &amp; Momeny, M. (1996). Statistics and its application in management, volume one . Samt Publications.</p>
<p>( In Persian ). https://samt.ac.ir/fa/book/118 [41] Pourheidari, O., &amp; Hosseinpour, H. (2012). Investigating the relationship between mandatory and ¢?????????? Financial management perspective , 2 (5), ( In Persian ). https://jfmp.sbu.ac.ir/article_94513.html?lang=fa [42] Anderson, T. W., &amp; Hsiao, C. (1982). Formulation and estimation of dynamic models using panel data.</p>
<p>Journal of econometrics , 18 (1), 47 ? 82. 10.1016/0304 - 4076(82)90095 - 1 [43] Tabti, B. (2016). The consequences of managerial short - termism on the firm: Theory and empirics. Unpublished working paper . https://www.sciencespo.fr/ecole - doctorale/sites/sciencespo.fr.ecole - doctorale/files/Bilal_Tabti_Mémoire_Managerial_Short - termism_Firm.pdf [44] Hadri, K. (2000). Testing for stationarity in heterogeneous panel data.</p>
<p>The econometrics journal , 3 (2), 148 ? 161. https://doi.org/10.1111/1368 - 423X.00043 [45] Wooldridge, J. M. (2016). Introductory econometrics a modern approach . South - Western cengage learning. https://www.amazon.com/Introductory - Econometrics - Modern - Approach - Standalone/dp/130527010X [46] Baltagi, B. H. (2008). Econometric analysis of panel data . Rohn Wiley. https://doi.org/10.1007/978 - 3 - 030 - 53953 - 5%0A%0A [47] Imeni, M., Faezi, B., &amp; Bagherzadeh, A. (2024). Examining the impact of managerial ability on firm performance: A case study of the Iranian capital market: Examining the Impact of managerial ability on firm performance: A case study of the Iranian capital market.</p>
<p>Transactions on quantitative finance and beyond / , 1 (2), 171 ? 180. https://doi.org/10.22105/cerh1498 [48] Hassan, O. A. (2018). The impact of voluntary environmental disclosure on firm value: Does organizational visibility play a mediation role? Business strategy and the environment , 27 (8), 1569 ? 1582. https://doi.org/10.1002/bse.2217 [49] Tehrani, R., &amp; Delshad, A. (2018). Investigation of managerial myopia on future financial performance in companies listed on Tehran stock exchange.</p>
<p>Journal of accounting and social interests , 8 (2), 23 - 46. ( In Persian ). https://doi.org/10.22051/ijar.2018.14229.1275 [50] Rahmani, A., &amp; Ghashghaei, F. (2018). The relation between accounting comparability and earning management. Accounting and auditing review , 24 (4), 527 - 550. ( In Persian ). https://doi.org/10.22059/acctgrev.2018.231579.1007589 [51] ?? ?? ?? ???????? ?? ??? ? ? ??</p>
<p>The accounting review , 77 (3), 483 ? 514. https://doi.org/10.2308/accr.2002.77.3.483</p>
</sec>
</body>
</article>