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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. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. Meena Sharma & Preeti Sharma, 2009. "Prediction of Stock Returns for Growth Firms—A Fundamental Analysis," Vision, , vol. 13(3), pages 31-40, July.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. Oleg Rytchkov & Xun Zhong, 2020. "Information Aggregation and P-Hacking," Management Science, INFORMS, vol. 66(4), pages 1605-1626, April.
  23. 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.
  24. C. N. V. Krishnan & Vasiliy Yakimenko, 2022. "Market Misreaction? Leverage and Mergers and Acquisitions," JRFM, MDPI, vol. 15(3), pages 1-21, March.
  25. 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.
  26. 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.
  27. Fatma Cebenoyan, 2003. "Operational Efficiency and the Value-Relevance of Earnings," Economics Working Paper Archive at Hunter College 301, Hunter College Department of Economics.
  28. 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.
  29. 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.
  30. 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.
  31. Hoang, Khoa & Cannavan, Damien & Gaunt, Clive & Huang, Ronghong, 2019. "Is that factor just lucky? Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
  32. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
  33. 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.
  34. 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.
  35. 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.
  36. Josef Fink, 2020. "A Review of the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2020-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
  37. 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.
  38. Iwasaki, Takuya & Kitagawa, Norio & Shuto, Akinobu, 2023. "Managerial discretion over initial earnings forecasts," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
  39. 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.
  40. 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.
  41. Xinyue Cui & Zhaoyu Xu & Yue Zhou, 2020. "Using Machine Learning to Forecast Future Earnings," Papers 2005.13995, arXiv.org.
  42. 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.
  43. 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.
  44. 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.
  45. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. repec:ers:journl:v:v:y:2017:i:4:p:3-18 is not listed on IDEAS
  52. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019. "Security Analysis: An Investment Perspective," NBER Working Papers 26060, National Bureau of Economic Research, Inc.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. Andreas Charitou & Chris Charalambous, 1996. "The Prediction of Earnings Using Financial Statement Information: Empirical Evidence With Logit Models and Artificial Neural Networks," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 5(4), pages 199-215, December.
  60. Anup K. Basu & Brigette Forbes & Henk Berkman, 2014. "Does fundamental indexation lead to better risk-adjusted returns? New evidence from Australian Securities Exchange," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(3), pages 699-728, September.
  61. 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.
  62. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  63. Lukas Ryll & Sebastian Seidens, 2019. "Evaluating the Performance of Machine Learning Algorithms in Financial Market Forecasting: A Comprehensive Survey," Papers 1906.07786, arXiv.org, revised Jul 2019.
  64. Ni, Yensen & Huang, Paoyu, 2015. "Do IPOs matter for price limits? Evidence from Taiwan," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 74-83.
  65. Yi-Chang Chen & Shih-Ming Kuo & Yonglin Liu & Zeqiong Wu & Fang Zhang, 2022. "Improving Returns on Strategy Decisions through Integration of Neural Networks for the Valuation of Asset Pricing: The Case of Taiwanese Stock," IJFS, MDPI, vol. 10(4), pages 1-15, October.
  66. Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
  67. Coller, Maribeth & Tuttle, Brad, 2002. "The acquisition of price-relevant domain knowledge by a market," Journal of Economic Psychology, Elsevier, vol. 23(1), pages 77-101, February.
  68. 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.
  69. 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).
  70. Eli Bartov, 1997. "Foreign Currency Exposure of Multinational Firms: Accounting Measures and Market Valuation," Contemporary Accounting Research, John Wiley & Sons, vol. 14(4), pages 623-652, December.
  71. Atif Ellahie, 2021. "Earnings beta," Review of Accounting Studies, Springer, vol. 26(1), pages 81-122, March.
  72. Du, Kai & Huddart, Steven & Jiang, Xin Daniel, 2023. "Lost in standardization: Effects of financial statement database discrepancies on inference," Journal of Accounting and Economics, Elsevier, vol. 76(1).
  73. 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.
  74. 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.
  75. 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.
  76. Ochiai, Tomoshiro & Nacher, Jose C., 2022. "Unveiling the directional network behind financial statements data using volatility constraint correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
  77. 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.
  78. 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.
  79. 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.
  80. 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.
  81. Antoine Falck & Adam Rej & David Thesmar, 2021. "Why and how systematic strategies decay," Papers 2105.01380, arXiv.org.
  82. 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.
  83. De Nard, Gianluca & Zhao, Zhao, 2022. "A large-dimensional test for cross-sectional anomalies:Efficient sorting revisited," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 654-676.
  84. Kristoffer Pons Bertelsen, 2022. "The Prior Adaptive Group Lasso and the Factor Zoo," CREATES Research Papers 2022-05, Department of Economics and Business Economics, Aarhus University.
  85. Ron Bird & Richard Gerlach, 2006. "A Bayesian Model Averaging Approach to Enhance Value Investment," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 5(2), pages 111-127, August.
  86. 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).
  87. Higgins, Huong, 2013. "Can securities analysts forecast intangible firms’ earnings?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 155-174.
  88. 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.
  89. Poonawala, Sakina H. & Nagar, Neerav, 2019. "Gross profit manipulation through classification shifting," Journal of Business Research, Elsevier, vol. 94(C), pages 81-88.
  90. 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.
  91. Pascal Frantz, 2004. "Review of ‘Dirty surplus accounting flows: international evidence’," Accounting and Business Research, Taylor & Francis Journals, vol. 34(4), pages 411-412.
  92. He, Jingbin & Ma, Xinru, 2023. "Is corporate social responsibility engagement influenced by nearby firms? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 86(C).
  93. Alan Gregory & Walid Saleh & Jon Tucker, 2005. "A UK Test of an Inflation-Adjusted Ohlson Model," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(3-4), pages 487-534.
  94. 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.
  95. Bi, XiaoGang & Tang, Judy & Tharyan, Rajesh, 2020. "Switching due diligence auditor in Chinese mergers and acquisitions," Research in International Business and Finance, Elsevier, vol. 54(C).
  96. Hediger, Simon & Michel, Loris & Näf, Jeffrey, 2022. "On the use of random forest for two-sample testing," Computational Statistics & Data Analysis, Elsevier, vol. 170(C).
  97. Hou, Kewei & Mo, Haitao & Xue, Chen & Zhang, Lu, 2017. "The Economics of Value Investing," Working Paper Series 2017-16, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
  98. 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.
  99. Yuri Biondi & Pierpaolo Giannoccolo, 2015. "Share price formation, market exuberance and financial stability under alternative accounting regimes," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 333-362, October.
  100. Yensen Ni & Yulu Liao & Paoyu Huang, 2017. "Foreign Institutional Investors, Shareholding Change, and Corporate Governance," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(4), pages 764-775, April.
  101. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
  102. Jiaju Miao & Pawel Polak, 2023. "Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy," Papers 2304.09947, arXiv.org.
  103. Richard Barker, 1999. "The role of dividends in valuation models used by analysts and fund managers," European Accounting Review, Taylor & Francis Journals, vol. 8(2), pages 195-218.
  104. Photis Panayides & Neophytos Lambertides, 2011. "Fundamental Analysis and Relative Efficiency of Maritime Firms: Dry Bulk vs Tanker Firms," Chapters, in: Kevin Cullinane (ed.), International Handbook of Maritime Economics, chapter 5, Edward Elgar Publishing.
  105. Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
  106. James Gong & Siyi Li, 2013. "CEO incentives and earnings prediction," Review of Quantitative Finance and Accounting, Springer, vol. 40(4), pages 647-674, May.
  107. John Donovan, 2021. "Financial Reporting and Entrepreneurial Finance: Evidence from Equity Crowdfunding," Management Science, INFORMS, vol. 67(11), pages 7214-7237, November.
  108. Stefanescu, Răzvan & Dumitriu, Ramona, 2020. "Introducere în analiza anomaliilor calendaristice, Partea a doua [An Introduction to the Analysis of the Calendar Anomalies, Part 2]," MPRA Paper 97961, University Library of Munich, Germany.
  109. 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.
  110. Rimona Palas & Amos Baranes, 2019. "Making investment decisions using XBRL filing data," Accounting Research Journal, Emerald Group Publishing Limited, vol. 32(4), pages 587-609, November.
  111. Bok Baik & Joon Chae & Sunhwa Choi & David B. Farber, 2013. "Changes in Operational Efficiency and Firm Performance: A Frontier Analysis Approach," Contemporary Accounting Research, John Wiley & Sons, vol. 30(3), pages 996-1026, September.
  112. 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.
  113. 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.
  114. 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.
  115. Sergejs Hilkevics & Galina Hilkevica, 2017. "New information technologies use for Latvian stock companies financial health evaluation," Post-Print hal-01703267, HAL.
  116. 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.
  117. 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.
  118. Ahmed Bouteska & Boutheina Regaieg, 2017. "Earnings announcement effect on the Tunisian stock market," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1413733-141, January.
  119. N C P Edirisinghe & X Zhang, 2008. "Portfolio selection under DEA-based relative financial strength indicators: case of US industries," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 842-856, June.
  120. Atif Ellahie & Xiaoxia Peng, 2021. "Management forecasts of volatility," Review of Accounting Studies, Springer, vol. 26(2), pages 620-655, June.
  121. 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.
  122. Konchitchki, Yaniv, 2013. "Accounting and the Macroeconomy: The Case of Aggregate Price-Level Effects on Individual Stocks," MPRA Paper 52934, University Library of Munich, Germany.
  123. 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.
  124. Peter Easton, 1991. "The Stockmarket's Perception Of Accounting Information," Australian Accounting Review, CPA Australia, vol. 1(1), pages 20-28, June.
  125. Pawel Dlotko & Wanling Qiu & Simon Rudkin, 2019. "Financial ratios and stock returns reappraised through a topological data analysis lens," Papers 1911.10297, arXiv.org.
  126. Monika Chopra & Abhishek Miglani, 2018. "Do stock markets acceptably reflect earnings manipulation? Analysis of Indian manufacturing firms," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(3), pages 271-280, September.
  127. 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.
  128. Xi Chen & Yang Ha (Tony) Cho & Yiwei Dou & Baruch Lev, 2022. "Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data," Journal of Accounting Research, Wiley Blackwell, vol. 60(2), pages 467-515, May.
  129. Johannes Stübinger & Sylvia Endres, 2018. "Pairs trading with a mean-reverting jump–diffusion model on high-frequency data," Quantitative Finance, Taylor & Francis Journals, vol. 18(10), pages 1735-1751, October.
  130. Abidin Kusno & Ron Bird & Danny Yeung, 2013. "Forecasting extreme performance: The experience with Australian equities," Published Paper Series 2013-5, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
  131. Abdin, Syed Zain ul & Farooq, Omer & Sultana, Naheed & Farooq, Mariam, 2017. "The impact of heuristics on investment decision and performance: Exploring multiple mediation mechanisms," Research in International Business and Finance, Elsevier, vol. 42(C), pages 674-688.
  132. B. Senthil Arasu & Desti Kannaiah & Nancy Christina J. & Malik Shahzad Shabbir, 2021. "Selection of Variables in Data Envelopment Analysis for Evaluation of Stock Performance," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 46(3), pages 337-353, August.
  133. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
  134. Mary E. Barth & Greg Clinch & Doron Israeli, 2016. "What do accruals tell us about future cash flows?," Review of Accounting Studies, Springer, vol. 21(3), pages 768-807, September.
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