1
PhD Student in Accounting Department of Accounting, Bo.c, Islamic Azad University, Borujerd, Iran
2
Associate Professor Department of Accounting, Bo.c, Islamic Azad University, Borujerd, Iran
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Assistant Professor Department of Accounting, Dez.c , Islamic Azad University, Dezful, Iran
10.22034/jik.2025.75512.4408
Abstract
The ever-increasing expansion of trade has made the financial relations between different companies more complicated, and businesses and economic companies look for financial resources to continue their activities. One of the most important solutions in financing is investment attraction. It is obvious that the reliability of financial information is considered as the most important factor in making investment decisions. Therefore, this research was conducted with the aim of designing a model for the uncertainty of financial information in companies listed on the Tehran Stock Exchange using artificial neural network. In this regard, in this research, 12 independent variables were considered as dependent variables to explain the uncertainty of financial information. For this purpose, the data of 114 companies from the companies accepted in the Tehran Stock Exchange, for the period between 1397 and 1401, were analyzed and using the method of artificial neural network and double layer perceptron using Matlab and Eviews10 software were analyzed. The results showed that among the identified variables, accounting conservatism, audit firm rotation, company size, profit smoothing and auditor's reputation were respectively the most important factors affecting the uncertainty of financial information of companies.
امجدیان، یونس. دانشیان، مجید (1399) " بررسی تأثیر دوره تصدی حسابرسی بر عدم اطمینان اطلاعاتی" فصلنامه رویکردهای پژوهشی نوین درمدیریت و حسابداری،سال چهارم،شماره 38،صص 38-54.
امینی، پیمان؛ محمدی، کامران؛ عباسی، شعیب (1390). بررسی عوامل موثر بر صدور گزارش مشروط حسابرسی: کاربرد روش شبکه عصبی، حسابداری مدیریت، سال چهارم، شماره یازدهم، 25-39
رحیمیان،نظام الدین،همتی،حسن،سلیمانی فرد،ملیحه.،(1391)، "بررسی ارتباط کیفیت سود و عدم تقارن اطلاعاتی"، فصلنامه دانش حسابداری، سال سوم، شماره10، ص 170-157
زهره وند،نرگس.زنجیردار،مجید(1393)" بررسی رابطه بین هزینه های سیاسی و مدیریت سود در بورس اوراق بهادار تهران"اولین همایش ملی حسابداری،حسابرسی،مدیریت.اردیبهشت 93 اصفهان
شیخ ربیعی،مجتبی. خلیلیان،راحله. فتحی آشتیانی، مهدی. شمس زاده، باقر(1396) "ساختار مالکیت و عدم اطمینان اطلاعاتی" پنجمین همایش ملی مدیریت و حسابداری ایران،همدان
مرادزاده فرد، مهدی. عدل زاده، مرتضی.فرج زاده،مریم. عظیمی،صدیقه. (1392) " عدم اطمینان اطلاعاتی، عدم تقارن اطلاعاتی و فرصت های رشد" فصلنامه مطالعات تجربی حسابداری مالی سال یازدهم شماره 39،صص 125-145
مرفوع, محمد. عدل زاده، مرتضی. (1393) "عدم اطمینان اطلاعاتی و واکنش کمتر از حد سرمایه گذاران"پژوهشهای تجربی حسابداری، سال چهارم شماره 13
Baum, C. F., Caglayan, M., and Talavera, O. (2010). On the sensitivity of firms' investment to cash flow and uncertainty. Oxford Economic Papers, 62(2), 286-306.
Chay, J. B., and Suh, J. (2009). Payout policy and cash-flow uncertainty. Journal of Financial Economics, 93(1), 88-107.
Frijns, B., Gilbert, A., & & Tourani-Rad, A. (2007). Insider trading, regulation, and the components of the bid-ask spread. The Journal of Financial Research, 31(3), 225-246.
Kang, w. Li, N. Zhang, H.(2019)" Information uncertainty and the pricing of liquidity" Journal of Empirical FinanceVolume 54, December 2019, Pages 77-96
Li Jing. (2007)" Accounting Conservatism, Information Uncertainty and Analysts’ Forecasts" Electronic copy available at: http://ssrn.com/abstract=1002681
Lu Chia-Wu, Tsung-Kang Chen, Hsien-Hsing Liao (2010)" Information uncertainty, information asymmetry and corporate bond yield spreads" Journal of Banking & Finance 34 (2010) 2265–2279
Shleifer, A., & Vishny, a. R. (1997). The limits of arbitrage. Journal of Finance,52(1), 35-55.
Tong, Ch. Houang, Zh. Wang, T and Zhang, C (2023) " The effects of economic uncertainty on financial volatility: A comprehensive investigation" Journal of Empirical FinanceVolume 73, September 2023, Pages 369-389
zhang, X. (2006). Information uncertainty and stock returns. Journal of Finance, 61 (1), 105-136.
talebvand,M. , hemat far,M. and takhtaei,N. (2025). Designing a model for financial information uncertainty using perceptron neural network. Journal of Investment Knowledge, 16(61), 323-350. doi: 10.22034/jik.2025.75512.4408
MLA
talebvand,M. , , hemat far,M. , and takhtaei,N. . "Designing a model for financial information uncertainty using perceptron neural network", Journal of Investment Knowledge, 16, 61, 2025, 323-350. doi: 10.22034/jik.2025.75512.4408
HARVARD
talebvand M., hemat far M., takhtaei N. (2025). 'Designing a model for financial information uncertainty using perceptron neural network', Journal of Investment Knowledge, 16(61), pp. 323-350. doi: 10.22034/jik.2025.75512.4408
CHICAGO
M. talebvand, M. hemat far and N. takhtaei, "Designing a model for financial information uncertainty using perceptron neural network," Journal of Investment Knowledge, 16 61 (2025): 323-350, doi: 10.22034/jik.2025.75512.4408
VANCOUVER
talebvand M., hemat far M., takhtaei N. Designing a model for financial information uncertainty using perceptron neural network. Journal of Investment Knowledge, 2025; 16(61): 323-350. doi: 10.22034/jik.2025.75512.4408