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The prediction of stock returns using financial statement information

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. 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.
  3. 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.
  4. Meena Sharma & Preeti Sharma, 2009. "Prediction of Stock Returns for Growth Firms—A Fundamental Analysis," Vision, , vol. 13(3), pages 31-40, July.
  5. 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.
  6. Hoang, Khoa & Cannavan, Damien & Gaunt, Clive & Huang, Ronghong, 2019. "Is that factor just lucky? Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
  7. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. Narongdech Thakerngkiat & Hung T. Nguyen & Nhut H. Nguyen & Nuttawat Visaltanachoti, 2021. "Do accounting information and market environment matter for cross‐asset predictability?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4389-4434, September.
  13. 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.
  14. Cemile ÖZGÜR, 2019. "Hisse Senedi Getirileri İle Finansal Oranlar Arasındaki İlişkinin Araştırılmasında Bir Panel ARDL Uygulaması," Istanbul Management Journal, Istanbul University Business School, vol. 0(86), pages 97-112, June.
  15. Antoine Falck & Adam Rej & David Thesmar, 2021. "Why and how systematic strategies decay," Papers 2105.01380, arXiv.org.
  16. Brigette Forbes & Anup Basu, 2011. "Does Fundamental Indexation Lead to Better Risk Adjusted Returns? New Evidence from Australian Securities Exchange," School of Economics and Finance Discussion Papers and Working Papers Series 275, School of Economics and Finance, Queensland University of Technology.
  17. 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).
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. I-Cheng Yeh & Tzu-Kuang Hsu, 2011. "Growth Value Two-Factor Model," Journal of Asset Management, Palgrave Macmillan, vol. 11(6), pages 435-451, February.
  23. Farooq, Omar, 2013. "Who was informative? Performance of foreign and local analysts’ stock recommendations during the Asian financial crisis," Research in International Business and Finance, Elsevier, vol. 29(C), pages 61-76.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. Benito Arruñada & Luis Vázquez & Giorgio Zanarone, 2009. "Institutional constraints on organizations: the case of Spanish car dealerships," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 15-26.
  29. Geertsema, Paul & Lu, Helen, 2020. "The correlation structure of anomaly strategies," Journal of Banking & Finance, Elsevier, vol. 119(C).
  30. Chung, Richard & Firth, Michael & Kim, Jeong-Bon, 2005. "Earnings management, surplus free cash flow, and external monitoring," Journal of Business Research, Elsevier, vol. 58(6), pages 766-776, June.
  31. 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.
  32. 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.
  33. Bartram, Söhnke M. & Grinblatt, Mark, 2018. "Agnostic fundamental analysis works," Journal of Financial Economics, Elsevier, vol. 128(1), pages 125-147.
  34. Eero J. Pätäri & Timo H. Leivo & Sheraz Ahmed, 2022. "Can the FSCORE add value to anomaly-based portfolios? A reality check in the German stock market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(3), pages 321-367, September.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. Xinyue Cui & Zhaoyu Xu & Yue Zhou, 2020. "Using Machine Learning to Forecast Future Earnings," Papers 2005.13995, arXiv.org.
  40. 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.
  41. 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.
  42. 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.
  43. Liao, Yulu & Huang, Paoyu & Ni, Yensen, 2022. "Convertible bond issuance volume, capital structure, and firm value," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
  44. 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.
  45. Lo, Huai-Chun & Koedijk, Kees G. & Gao, Xiang & Hsu, Yuan-Teng, 2020. "How do job vacancy rates predict firm performance? A web crawling massive data perspective," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
  46. Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
  47. 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.
  48. 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.
  49. 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).
  50. M. Bigeco & E. Grosso & E. Otranto, 2008. "Recognizing and Forecasting the Sign of Financial Local Trends using Hidden Markov Models," Working Paper CRENoS 200803, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  51. 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.
  52. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
  53. Jiaju Miao & Pawel Polak, 2023. "Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy," Papers 2304.09947, arXiv.org.
  54. 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.
  55. 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.
  56. Amita Sharma & Aparna Mehra, 2017. "Financial analysis based sectoral portfolio optimization under second order stochastic dominance," Annals of Operations Research, Springer, vol. 256(1), pages 171-197, September.
  57. 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.
  58. 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.
  59. Gianluca De Nard & Simon Hediger & Markus Leippold, 2022. "Subsampled factor models for asset pricing: The rise of Vasa," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1217-1247, September.
  60. Cristina Abad & Sten A. Thore & Joaquina Laffarga, 2004. "Fundamental analysis of stocks by two-stage DEA," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 25(5), pages 231-241.
  61. 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.
  62. Qiyuan Peng & Sheri Tice & Ling Zhou, 2023. "Mutual funds and stock fundamentals," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1329-1361, May.
  63. Ettredge, Michael & Toolson, Richard & Hall, Steve & Na, Chongkil, 1996. "Behavior of earnings, stock returns, accruals, and analysts' forecasts following negative annual earnings," Review of Financial Economics, Elsevier, vol. 5(2), pages 147-162.
  64. Avkiran, Necmi K. & Morita, Hiroshi, 2010. "Predicting Japanese bank stock performance with a composite relative efficiency metric: A new investment tool," Pacific-Basin Finance Journal, Elsevier, vol. 18(3), pages 254-271, June.
  65. Edward Lee & Konstantinos Stathopoulos & Mark Hon, 2006. "Investigating the return predictability of changes in corporate borrowing," Accounting and Business Research, Taylor & Francis Journals, vol. 36(2), pages 93-107.
  66. Peter Easton, 1997. "Use of Comparisons of Patterns of Stock Return and Accounting Data in Understanding Apparently Anomalous Returns to Accounting†based Trading Strategies," Contemporary Accounting Research, John Wiley & Sons, vol. 14(2), pages 137-151, June.
  67. Victor Bernard & Jacob Thomas & James Wahlen, 1997. "Accounting†Based Stock Price Anomalies: Separating Market Inefficiencies from Risk," Contemporary Accounting Research, John Wiley & Sons, vol. 14(2), pages 89-136, June.
  68. Poretti, Cédric & Heo, Cindy Yoonjoung, 2022. "COVID-19 and firm value drivers in the tourism industry," Annals of Tourism Research, Elsevier, vol. 95(C).
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