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Financial statement analysis and the prediction of stock returns

Citations

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Cited by:

  1. Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2020. "Taming the Factor Zoo: A Test of New Factors," Journal of Finance, American Finance Association, vol. 75(3), pages 1327-1370, June.
  2. van Lent, L.A.G.M., 1999. "Incomplete contracting theory in empirical accounting research," Other publications TiSEM 088f797d-9fa4-4081-98f4-1, Tilburg University, School of Economics and Management.
  3. Dafydd Mali & Hyoung-Joo Lim, 2022. "Does relative (absolute) efficiency affect capital costs?," Annals of Operations Research, Springer, vol. 315(2), pages 1037-1060, August.
  4. So, Eric C., 2013. "A new approach to predicting analyst forecast errors: Do investors overweight analyst forecasts?," Journal of Financial Economics, Elsevier, vol. 108(3), pages 615-640.
  5. Birol Yildiz & Ari Yezegel, 2010. "Fundamental Analysis With Artificial Neural Network," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(1), pages 149-158.
  6. Stina Skogsvik & Kenth Skogsvik, 2010. "Accounting‐Based Probabilistic Prediction of ROE, the Residual Income Valuation Model and the Assessment of Mispricing in the Swedish Stock Market," Abacus, Accounting Foundation, University of Sydney, vol. 46(4), pages 387-418, December.
  7. G. Geoffrey Booth & Juha-Pekka Kallunki & Teppo Martikainen, 1998. "Delayed price response to the announcements of earnings and its components in Finland," European Accounting Review, Taylor & Francis Journals, vol. 6(3), pages 377-392.
  8. Meena Sharma & Preeti Sharma, 2009. "Prediction of Stock Returns for Growth Firms—A Fundamental Analysis," Vision, , vol. 13(3), pages 31-40, July.
  9. Luiza Mãdãlina APOSTOL, 2020. "Performance Analysis Through Financial Rates In The Case Of Nuclearelectrica, Societatea Energetica Electrica And S.N.G.N. Romgaz," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 19(3), pages 3-12.
  10. Kristian D. Allee & Matthew D. Deangelis, 2015. "The Structure of Voluntary Disclosure Narratives: Evidence from Tone Dispersion," Journal of Accounting Research, Wiley Blackwell, vol. 53(2), pages 241-274, May.
  11. Ron Bird & Lorenzo Casavecchia, 2007. "Sentiment and Financial Health Indicators for Value and Growth Stocks: The European Experience," The European Journal of Finance, Taylor & Francis Journals, vol. 13(8), pages 769-793.
  12. Hechmi Soumaya, 2013. "Eva versus Other Performance Measures," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(4), pages 532-541, April.
  13. Mohammad Hamdan & Marie Bany Khaled & Sakhr Bany Khaled, 2018. "Employee Benefits Accounting, Its Impact on the Market Share Price, the Volume of Credit Facilities and Deposits," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(1), pages 23-31, January.
  14. C. N. V. Krishnan & Vasiliy Yakimenko, 2022. "Market Misreaction? Leverage and Mergers and Acquisitions," JRFM, MDPI, vol. 15(3), pages 1-21, March.
  15. Jawad Mohammad & Attiya Yasmin Javid, 2015. "An Analysis of Accrual Anomaly in Case of Karachi Stock Exchange," PIDE-Working Papers 2015:116, Pakistan Institute of Development Economics.
  16. Hoang, Khoa & Cannavan, Damien & Gaunt, Clive & Huang, Ronghong, 2019. "Is that factor just lucky? Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
  17. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
  18. Cheng‐tsu Huang & Chu‐hsuan Chang & Hsiou‐wei Lin, 2021. "Do current‐year forecasts deserve investors' exclusive attention among analyst estimates?," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 714-723, June.
  19. Lam, Kevin C.K. & Sami, Heibatollah & Zhou, Haiyan, 2013. "Changes in the value relevance of accounting information over time: Evidence from the emerging market of China," Journal of Contemporary Accounting and Economics, Elsevier, vol. 9(2), pages 123-135.
  20. Liu, Chao-Shin & Ziebart, David A., 1999. "Anomalous security price behavior following management earnings forecasts," Journal of Empirical Finance, Elsevier, vol. 6(4), pages 405-429, October.
  21. Hidetoshi Yamaji & Masatoshi Gotoh & Yoshinori Yamakawa, 2016. "Additional Information Increases Uncertainty in the Securities Market: Using both Laboratory and fMRI Experiments," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 425-451, October.
  22. Doron Avramov & Guy Kaplanski & Avanidhar Subrahmanyam, 2022. "Postfundamentals Price Drift in Capital Markets: A Regression Regularization Perspective," Management Science, INFORMS, vol. 68(10), pages 7658-7681, October.
  23. Roni Michaely & Stefano Rossi & Michael Weber & Michael Weber, 2017. "The Information Content of Dividends: Safer Profits, Not Higher Profits," CESifo Working Paper Series 6751, CESifo.
  24. Junran Wu & Ke Xu & Xueyuan Chen & Shangzhe Li & Jichang Zhao, 2021. "Price graphs: Utilizing the structural information of financial time series for stock prediction," Papers 2106.02522, arXiv.org, revised Nov 2021.
  25. Florian Huber & Tamás Krisztin & Philipp Piribauer, 2017. "Forecasting Global Equity Indices Using Large Bayesian Vars," Bulletin of Economic Research, Wiley Blackwell, vol. 69(3), pages 288-308, July.
  26. Jeong-Bon Kim & Roland Lipka & Heibatollah Sami, 2012. "Portfolio performance and accounting measures of earnings: an alternative look at usefulness," Review of Quantitative Finance and Accounting, Springer, vol. 38(1), pages 87-107, January.
  27. Olson, Dennis & Mossman, Charles, 2003. "Neural network forecasts of Canadian stock returns using accounting ratios," International Journal of Forecasting, Elsevier, vol. 19(3), pages 453-465.
  28. Papanastasopoulos, Georgios & Thomakos, Dimitrios & Wang, Tao, 2011. "Information in balance sheets for future stock returns: Evidence from net operating assets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 269-282.
  29. Sami Keskek & James N. Myers & Linda A. Myers, 2020. "Investors' Misweighting of Firm‐Level Information and the Market's Expectations of Earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 37(3), pages 1828-1853, September.
  30. Kang, Yong Joo & Lee, Ho-Young & Park, Hyun-Young & Park, Ju Hyoung, 2022. "Social ties, managerial overconfidence, and investment efficiency," Finance Research Letters, Elsevier, vol. 46(PA).
  31. Hoang, Khoa & Huang, Ronghong & Truong, Helen, 2023. "Resurrecting the market factor: A case of data mining across international markets," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
  32. Sungsoo Kim & Amitav Saha & Sudipta Bose, 2021. "Do capital expenditures influence earnings performance: Evidence from loss‐making firms," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 2539-2575, April.
  33. Noma, Mikiharu & 野間, 幹晴, 2010. "Value Investing and Financial Statement Analysis," Hitotsubashi Journal of commerce and management, Hitotsubashi University, vol. 44(1), pages 29-46, October.
  34. Byungun Yoon & Taeyeoun Roh & Hyejin Jang & Dooseob Yun, 2019. "Developing an Risk Signal Detection System Based on Opinion Mining for Financial Decision Support," Sustainability, MDPI, vol. 11(16), pages 1-26, August.
  35. Christos Alexakis & Theophano Patra & Sunil Poshakwale, 2010. "Predictability of stock returns using financial statement information: evidence on semi-strong efficiency of emerging Greek stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 20(16), pages 1321-1326.
  36. Ghysels, Eric & Ball, Ryan & Zhou, Huan, 2014. "Can we Automate Earnings Forecasts and Beat Analysts?," CEPR Discussion Papers 10186, C.E.P.R. Discussion Papers.
  37. Michele Bagella & Leonardo Becchetti & Rocco Ciciretti, 2007. "Market vs. analysts reaction: the effect of aggregate and firm-specific news," Applied Financial Economics, Taylor & Francis Journals, vol. 17(4), pages 299-312.
  38. Antoine Falck & Adam Rej & David Thesmar, 2021. "Why and how systematic strategies decay," Papers 2105.01380, arXiv.org.
  39. Zhengyang Dong, 2019. "Dynamic Advisor-Based Ensemble (dynABE): Case study in stock trend prediction of critical metal companies," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-33, February.
  40. Zhao, Chencheng & Yuan, Xianghui & Long, Jun & Jin, Liwei & Guan, Bowen, 2023. "Financial indicators analysis using machine learning: Evidence from Chinese stock market," Finance Research Letters, Elsevier, vol. 58(PD).
  41. Jun, So Young & Kim, Dong Sung & Jung, Suk Yoon & Jun, Sang Gyung & Kim, Jong Woo, 2022. "Stock investment strategy combining earnings power index and machine learning," International Journal of Accounting Information Systems, Elsevier, vol. 47(C).
  42. Stübinger, Johannes & Endres, Sylvia, 2017. "Pairs trading with a mean-reverting jump-diffusion model on high-frequency data," FAU Discussion Papers in Economics 10/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  43. Andreas Charitou & George Panagiotides, 1999. "Financial analysis, future earnings and cash flows, and the prediction of stock returns: evidence for the UK," Accounting and Business Research, Taylor & Francis Journals, vol. 29(4), pages 281-298.
  44. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
  45. O'Donnell, Niall & Shannon, Darren & Sheehan, Barry, 2023. "A vaccine for volatility? An empirical analysis of global stock markets and the impact of the COVID-19 vaccine," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
  46. Weichuan Deng & Pawel Polak & Abolfazl Safikhani & Ronakdilip Shah, 2023. "A Unified Framework for Fast Large-Scale Portfolio Optimization," Papers 2303.12751, arXiv.org, revised Nov 2023.
  47. K. J. Huang, 2022. "DeepValue: A Comparable Framework for Value-Based Strategy by Machine Learning," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 325-346, June.
  48. Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
  49. John Donovan, 2021. "Financial Reporting and Entrepreneurial Finance: Evidence from Equity Crowdfunding," Management Science, INFORMS, vol. 67(11), pages 7214-7237, November.
  50. Gikas Hardouvelis & George Papanastasopoulos & Dimitrios D. Thomakos & Tao Wang, 2007. "Accruals, Net Stock Issues and Value-Glamour Anomalies: New Evidence on their Relation," Working Paper series 47_07, Rimini Centre for Economic Analysis.
  51. Longyue Liang & Bo Liu & Zhi Su & Xuanye Cai, 2024. "Forecasting corporate financial performance with deep learning and interpretable ALE method: Evidence from China," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2540-2571, November.
  52. Johnson, E. Scott, 2016. "Do changes in the SG&A ratio provide different information about changes in future earnings, analyst forecast revisions, and stock returns under different circumstances?," Advances in accounting, Elsevier, vol. 34(C), pages 90-98.
  53. Roy Clemons, 2010. "Do external sources generate greater investor awareness that can affect a firm's value and cost of capital?," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 9(4), pages 382-394, November.
  54. Hirshleifer, David & Kewei Hou & Teoh, Siew Hong & Yinglei Zhang, 2004. "Do investors overvalue firms with bloated balance sheets?," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 297-331, December.
  55. Sergejs Hilkevics & Galina Hilkevica, 2017. "New information technologies use for Latvian stock companies financial health evaluation," Post-Print hal-01703267, HAL.
  56. Duarte Trigueiros, 2019. "Improving the effectiveness of predictors in accounting-based models," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 20(2), pages 207-226, June.
  57. Katsuo, Yuko, 2008. "Earnings quality, accruals and subjective goodwill accounting," LSE Research Online Documents on Economics 6912, London School of Economics and Political Science, LSE Library.
  58. Mihaela Nicolau, 2010. "Practitioners' Tools in Analysing Financial Markets Evolution," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 3(3), pages 83-104, August.
  59. Nikola Petrovic & Stuart Manson & Jerry Coakley, 2009. "Does Volatility Improve UK Earnings Forecasts?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(9‐10), pages 1148-1179, November.
  60. Bui, Dien Giau & Kong, De-Rong & Lin, Chih-Yung & Lin, Tse-Chun, 2023. "Momentum in machine learning: Evidence from the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
  61. Atif Ellahie & Xiaoxia Peng, 2021. "Management forecasts of volatility," Review of Accounting Studies, Springer, vol. 26(2), pages 620-655, June.
  62. Alex Kim & Maximilian Muhn & Valeri Nikolaev, 2024. "Financial Statement Analysis with Large Language Models," Papers 2407.17866, arXiv.org, revised Feb 2025.
  63. Mohamed Sellami, 2006. "Typologie des déterminants comptables de la valeur : Apports de l'approche économique de l'information dans la mesure de la valeur," Post-Print halshs-00558252, HAL.
  64. Lončarski, Igor & Vidovič, Luka, 2019. "Sorting out the financials: Making economic sense out of statistical factors," Finance Research Letters, Elsevier, vol. 31(C), pages 110-118.
  65. Hong Bae, Kee & Kim, Jeong-Bon, 1998. "The usefulness of earnings versus book value for predicting stock returns and cross corporate ownership in Japan," Japan and the World Economy, Elsevier, vol. 10(4), pages 467-485, October.
  66. Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2020. "Dissecting Characteristics Nonparametrically," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2326-2377.
  67. Hidetoshi Yamaji & Masatoshi Gotoh, 2010. "Cognitive Bias in the Laboratory Security Market," Computational Economics, Springer;Society for Computational Economics, vol. 35(2), pages 101-126, February.
  68. Gregory D. Kane & Ryan D. Leece & Frederick M. Richardson & Uma Velury, 2015. "The Impact of Recession on the Value-relevance of Accounting Information," Australian Accounting Review, CPA Australia, vol. 25(2), pages 185-191, June.
  69. Rimona Palas & Amos Baranes, 2017. "The Prediction of Earnings Movement Using Mandated XBRL data ? Industry Analysis," Proceedings of Economics and Finance Conferences 4507381, International Institute of Social and Economic Sciences.
  70. Jean-Francois Gajewski & Bertrand Quere, 2001. "The information content of earnings and turnover announcements in France," European Accounting Review, Taylor & Francis Journals, vol. 10(4), pages 679-704.
  71. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
  72. Chan, Louis K. C. & Jegadeesh, Narasimhan & Lakonishok, Josef, 1995. "Evaluating the performance of value versus glamour stocks The impact of selection bias," Journal of Financial Economics, Elsevier, vol. 38(3), pages 269-296, July.
  73. Demirkan, Sebahattin & Fuerman, Ross D., 2014. "Auditor litigation: Evidence that revenue restatements are determinative," Research in Accounting Regulation, Elsevier, vol. 26(2), pages 164-174.
  74. Peng-Chia Chiu & Timothy D. Haight, 2020. "Investor learning, earnings signals, and stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 671-698, February.
  75. Huang, Paoyu & Ni, Yensen, 2017. "Board structure and stock price informativeness in terms of moving average rules," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 161-169.
  76. Amir, Eli & Lev, Baruch, 1996. "Value-relevance of nonfinancial information: The wireless communications industry," Journal of Accounting and Economics, Elsevier, vol. 22(1-3), pages 3-30, October.
  77. P. Van Cauwenberge & I. De Beelde, 2006. "Does The Comprehensive Income Matrix Make Unsophisticated Users Overemphasise Fair Value Income?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/400, Ghent University, Faculty of Economics and Business Administration.
  78. Amor-Tapia, Borja & Tascón Fernández, María T., 2014. "Estimation of future levels and changes in profitability: The effect of the relative position of the firm in its industry and the operating-financing disaggregation," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 17(1), pages 30-46.
  79. Anwer S. Ahmed & Irfan Safdar, 2018. "Dissecting stock price momentum using financial statement analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 3-43, November.
  80. Tomoshiro Ochiai & Jose C. Nacher, 2020. "Unveiling the directional network behind the financial statements data using volatility constraint correlation," Papers 2008.07836, arXiv.org, revised Jun 2023.
  81. Hong, KiHoon & Wu, Eliza, 2016. "The roles of past returns and firm fundamentals in driving US stock price movements," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 62-75.
  82. Shu, Yan & Broadstock, David C. & Xu, Bing, 2013. "The heterogeneous impact of macroeconomic information on firms' earnings forecasts," The British Accounting Review, Elsevier, vol. 45(4), pages 311-325.
  83. David R. Gallagher & Peter A. Gardner & Camille H. Schmidt & Terry S. Walter, 2014. "Portfolio Quality and Mutual Fund Performance," International Review of Finance, International Review of Finance Ltd., vol. 14(4), pages 485-521, December.
  84. Libby, Robert & Bloomfield, Robert & Nelson, Mark W., 2002. "Experimental research in financial accounting," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 775-810, November.
  85. Nguyen, Pascal, 2005. "Market underreaction and predictability in the cross-section of Japanese stock returns," Journal of Multinational Financial Management, Elsevier, vol. 15(3), pages 193-210, July.
  86. Frankel, Richard & Litov, Lubomir, 2009. "Earnings persistence," Journal of Accounting and Economics, Elsevier, vol. 47(1-2), pages 182-190, March.
  87. Lorenzo Valdés Arturo & Durán Vázquez Rocío, 2010. "Ohlson model by panel cointegration with Mexican data," Contaduría y Administración, Accounting and Management, vol. 55(3), pages 131-142, septiembr.
  88. Karavias, Yiannis & Spilioti, Stella & Tzavalis, Elias, 2016. "A comparison of investors’ sentiments and risk premium effects on valuing shares," Finance Research Letters, Elsevier, vol. 17(C), pages 1-6.
  89. Geertsema, Paul & Lu, Helen, 2020. "The correlation structure of anomaly strategies," Journal of Banking & Finance, Elsevier, vol. 119(C).
  90. Hamed Omrani & Saber Samadi & Ahmad Kazemi Margavi & Hamid Asadzadeh & Hemad Nazari, 2011. "Corporate Life Cycle and the Explanatory Power of Risk Measures versus Performance Measures," Journal of Education and Vocational Research, AMH International, vol. 2(6), pages 199-206.
  91. Maria Cristina Abad Navarro, 2003. "Utilidad de una Medida de la Eficiencia en la Generación de Ventas para la Predicción del Resultado," Working Papers 0307, Departament Empresa, Universitat Autònoma de Barcelona, revised Sep 2003.
  92. G.P. Kourtis & L.P. Κourtis & M.P. Kourtis & P. Curtis, 2017. "Fundamental Analysis, Stock Returns and High B/M Companies," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 3-18.
  93. Robert G. Biscontri, 2012. "A Radial Basis Function Approach To Earnings Forecast," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 1-18, January.
  94. Dafydd Mali & Hyoung‐joo Lim, 2021. "Do Relatively More Efficient Firms Demand Additional Audit Effort (Hours)?," Australian Accounting Review, CPA Australia, vol. 31(2), pages 108-127, June.
  95. Yensen Ni & Yirung Cheng & Yulu Liao & Paoyu Huang, 2022. "Does board structure affect stock price overshooting informativeness measured by stochastic oscillator indicators?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2290-2302, April.
  96. Stina Skogsvik, 2008. "Financial Statement Information, the Prediction of Book Return on Owners' Equity and Market Efficiency: The Swedish Case," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7‐8), pages 795-817, September.
  97. Safdar, Irfan, 2016. "Industry competition and fundamental analysis," Journal of Accounting Literature, Elsevier, vol. 37(C), pages 36-54.
  98. Bartram, Söhnke M. & Grinblatt, Mark, 2018. "Agnostic fundamental analysis works," Journal of Financial Economics, Elsevier, vol. 128(1), pages 125-147.
  99. Lipe, M. G., 1998. "Individual investors' risk judgments and investment decisions: The impact of accounting and market data," Accounting, Organizations and Society, Elsevier, vol. 23(7), pages 625-640, October.
  100. Pascal Dumontier & Real Labelle, 1998. "Accounting earnings and firm valuation: the French case," European Accounting Review, Taylor & Francis Journals, vol. 7(2), pages 163-183.
  101. Brown, Lawrence D., 1996. "Influential accounting articles, individuals, Ph.D. granting institutions and faculties: A citational analysis," Accounting, Organizations and Society, Elsevier, vol. 21(7-8), pages 723-754.
  102. Carosi, Andrea, 2016. "Do local causations matter? The effect of firm location on the relations of ROE, R&D, and firm SIZE with MARKET-TO-BOOK," Journal of Corporate Finance, Elsevier, vol. 41(C), pages 388-409.
  103. Yang Qiao & Yiping Xia & Xiang Li & Zheng Li & Yan Ge, 2023. "Higher-order Graph Attention Network for Stock Selection with Joint Analysis," Papers 2306.15526, arXiv.org.
  104. Adriana S. Cordis, 2014. "Accounting Ratios and the Cross-section of Expected Stock Returns," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 41(9-10), pages 1157-1192, November.
  105. Monika Witkowska, 2006. "Fundamentals and stock returns on the Warsaw Stock Exchange. The application of panel data models," Working Papers 11, Department of Applied Econometrics, Warsaw School of Economics.
  106. Eero J. Pätäri & Timo H. Leivo & Janne Hulkkonen & J. V. Samuli Honkapuro, 2018. "Enhancement of value investing strategies based on financial statement variables: the German evidence," Review of Quantitative Finance and Accounting, Springer, vol. 51(3), pages 813-845, October.
  107. Luminita Enache & Anup Srivastava, 2018. "Should Intangible Investments Be Reported Separately or Commingled with Operating Expenses? New Evidence," Management Science, INFORMS, vol. 64(7), pages 3446-3468, July.
  108. Edirisinghe, N.C.P. & Zhang, X., 2007. "Generalized DEA model of fundamental analysis and its application to portfolio optimization," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3311-3335, November.
  109. Pathiranage, Nandana P.W. & Jubb, Christine A., 2018. "Does IFRS make analysts more efficient in using fundamental information included in financial statements?," Journal of Contemporary Accounting and Economics, Elsevier, vol. 14(3), pages 373-385.
  110. Nikola Petrovic & Stuart Manson & Jerry Coakley, 2009. "Does Volatility Improve UK Earnings Forecasts?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(9‐10), pages 1148-1179, November.
  111. Oleg Rytchkov & Xun Zhong, 2020. "Information Aggregation and P-Hacking," Management Science, INFORMS, vol. 66(4), pages 1605-1626, April.
  112. Cho JOONG-SEOK, 2012. "The Effect Of Accruals On Security Analysts’ Target Price Forecast Performance," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 7(3(21)/ Fa), pages 228-234.
  113. Fatma Cebenoyan, 2003. "Operational Efficiency and the Value-Relevance of Earnings," Economics Working Paper Archive at Hunter College 301, Hunter College Department of Economics.
  114. Ken Li, 2024. "Liquidity ratios and corporate failures," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 1111-1134, March.
  115. Michael Ettredge & Richard Toolson & Steve Hall & Chongkil Na, 1996. "Behavior of earnings, stock returns, accruals, and analysts' forecasts following negative annual earnings," Review of Financial Economics, John Wiley & Sons, vol. 5(2), pages 147-162.
  116. KiHoon Jimmy Hong & Eliza Wu, 2014. "Can Momentum Factors Be Used to Enhance Accounting Information based Fundamental Analysis in Explaining Stock Price Movements?," Research Paper Series 346, Quantitative Finance Research Centre, University of Technology, Sydney.
  117. Ni, Yensen & Huang, Paoyu & Chen, Yuhsin, 2019. "Board structure, considerable capital, and stock price overreaction informativeness in terms of technical indicators," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 514-528.
  118. Krauss, Christopher & Krüger, Tom & Beerstecher, Daniel, 2015. "The Piotroski F-Score: A fundamental value strategy revisited from an investor's perspective," FAU Discussion Papers in Economics 13/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  119. repec:grz:wpsses:2020-04 is not listed on IDEAS
  120. Caylor, Marcus & Cecchini, Mark & Winchel, Jennifer, 2017. "Analysts' qualitative statements and the profitability of favorable investment recommendations," Accounting, Organizations and Society, Elsevier, vol. 57(C), pages 33-51.
  121. Iwasaki, Takuya & Kitagawa, Norio & Shuto, Akinobu, 2023. "Managerial discretion over initial earnings forecasts," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
  122. Thomas, Wayne B., 1999. "A test of the market's mispricing of domestic and foreign earnings," Journal of Accounting and Economics, Elsevier, vol. 28(3), pages 243-267, December.
  123. Xinyue Cui & Zhaoyu Xu & Yue Zhou, 2020. "Using Machine Learning to Forecast Future Earnings," Papers 2005.13995, arXiv.org.
  124. Zhang, Xinyu & Lu, Zudi & Zou, Guohua, 2013. "Adaptively combined forecasting for discrete response time series," Journal of Econometrics, Elsevier, vol. 176(1), pages 80-91.
  125. Hwa Deuk Yi & Sambock Park & Jonghyun Kim, 2019. "The Effects of Business Strategy and Inventory on the Relationship between Sales Manipulation and Future Profitability," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
  126. Wang, Feifei & Yan, Xuemin Sterling & Zheng, Lingling, 2024. "Institutional trading, news, and accounting anomalies," Journal of Accounting and Economics, Elsevier, vol. 78(1).
  127. repec:ers:journl:v:v:y:2017:i:4:p:3-18 is not listed on IDEAS
  128. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019. "Security Analysis: An Investment Perspective," NBER Working Papers 26060, National Bureau of Economic Research, Inc.
  129. Patricia M. Fairfield & Trevor S. Harris, 1993. "Price†Earnings and Price†to†Book Anomalies: Tests of an Intrinsic Value Explanation," Contemporary Accounting Research, John Wiley & Sons, vol. 9(2), pages 590-611, March.
  130. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
  131. Oveis Madadian & Walter Aerts & Tom Van Caneghem, 2018. "Social comparison of cost behaviour and financial analysts," Accounting and Business Research, Taylor & Francis Journals, vol. 48(7), pages 805-839, November.
  132. Alexander Hölzl & Sebastian Lobe, 2016. "Predicting above-median and below-median growth rates," Review of Managerial Science, Springer, vol. 10(1), pages 105-133, January.
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