Learning, Portfolio Complexity and Informational Asymmetry in Forecasts of Sell-Side Analysts by Melquiades Pereira de Lima Júnior

Subjects: “…financial analysts…”
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ELEMENTS OF ACCOUNTING POLICY SELECTION AND ITS INFLUENCE ON FINANCIAL STATEMENTS INDICATORS by O. Ageeva, D. Formusatii

“…Obviously financial statements indicators are definitely one of the most important sources of information for financial analysis and management decisions. Financial analyst should be aware, which valuation methods have been presented in this financial statement, and how they influence on formulated by him analytical conclusions. …”
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Analysis of passivity problems in the baltic equity market by Igoris Belovas, Audrius Kabašinskas, Leonidas Sakalauskas

“… The Baltic States equity market is a challenge for investors and financial analysts. Unfortunately strong  assivity is observed in ``young'' markets, therefore any (Gaussian, α-stable etc) distribution fitting tests (Anderson–Darling, Kolmogorov–Smirnov, etc.) are poorly applicable. …”
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A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment by Jie Zhu, Hong Zhu, Nan Lin

“…The dynamic prediction of financial distress can monitor the financial status of an enterprise in real time and provide evidence for financial analysts. However, currently, there are few studies concerning the dynamic prediction of financial distress in the financial sharing environment, so in order to fill this research gap, this study established a dynamic prediction model of financial distress in the financial sharing environment. …”
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Forecasting Stock Market Indices Using Integration of Encoder, Decoder, and Attention Mechanism by Tien Thanh Thach

“…Accurate forecasting of stock market indices is crucial for investors, financial analysts, and policymakers. The integration of encoder and decoder architectures, coupled with an attention mechanism, has emerged as a powerful approach to enhance prediction accuracy. …”
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The good, the better and the challenging: Insights into predicting high-growth firms using machine learning by Sermet Pekin, Aykut Şengül

“…This research contributes valuable insights to financial analysts and investors in identifying high-growth firms and underscores the potential of machine learning in economic prediction.…”
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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models by Hung V. Pham, Tuan Chu, Tuan M. Le, Hieu M. Tran, Huong T.K. Tran, Khanh N. Yen, Son V. T. Dao

“…This approach not only improves the accuracy but also the reliability of financial risk assessments, providing valuable insights for investors, financial analysts, and policymakers. The success of the model opens avenues for further research into hybrid predictive models in various sectors of finance, potentially transforming risk assessment methodologies.…”
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Assessment of Strategy Disclosure Drivers in Annual Company Report: A Meta-Synthesis Analysis by Akram Taftiyan, Mohammad Salari Abarghuoi

“…While disclosing forward-looking statements, like the progress of business strategies' implementation, in annual reports offers insight into the company's direction from management to financial analysts, it can also entail certain costs by potentially harming the company's competitive position.   …”
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Exploring the Link between Financial Reporting Models and Earnings Characteristics among Tehran Stock Exchange Listed Companies by Roya Amiri, Ali Ashtab, Mahdi Heydari

“…ObjectiveObjective: In recent years, the focus on earnings characteristics has intensified, spurred by the financial disclosures of some major corporations. Financial analysts and investors not only consider the accounting profit figure when assessing future cash flows but also prioritize the sustainability and repeatability of reported earnings. …”
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Analyzing the Influence of Company's Business Strategy and Its Components as a Factor of Information Risk on Excess Stock Returns by Alireza Rahrovi Dastjerdi, Daryoosh Forooghi, Zahra Moradi

“…The nuanced understanding of how specific strategic components influence investor perceptions and market performance can offer valuable insights for corporate decision-makers, investors, and financial analysts. Discussion and ConclusionThe study's findings highlighted the critical role of business strategy in the context of information risk and stock market performance. …”
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Presenting a model to explain unfavorable risk and favorable risk according to psychological variables in predicting market fluctuations in the Iranian capital market. by Hasan Rezaeikangi, Mahdi Mohammad Bagheri, Hojat Babaei, Ali Raeispour Rajabali

“…Therefore, the models explaining unfavorable risk and favorable risk according to psychological variables can help to improve the prediction of market fluctuations and understand the influencing factors, which can be very valuable for investors, financial analysts, and economic decision makers (Ajello & Pike, 2022). …”
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