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What explains the dynamics of 100 anomalies?

Citations

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Cited by:

  1. Zaremba, Adam & Mikutowski, Mateusz & Karathanasopoulos, Andreas & Osman, Mohamed, 2019. "Picking winners to pick your winners: The momentum effect in commodity risk factors," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
  2. Cakici, Nusret & Fieberg, Christian & Metko, Daniel & Zaremba, Adam, 2023. "Machine learning goes global: Cross-sectional return predictability in international stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
  3. Białkowski, Jędrzej & Dang, Huong Dieu & Wei, Xiaopeng, 2022. "High policy uncertainty and low implied market volatility: An academic puzzle?," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1185-1208.
  4. Cakici, Nusret & Zaremba, Adam, 2023. "Recency bias and the cross-section of international stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
  5. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
  6. Zaremba, Adam & Bilgin, Mehmet Huseyin & Long, Huaigang & Mercik, Aleksander & Szczygielski, Jan J., 2021. "Up or down? Short-term reversal, momentum, and liquidity effects in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 78(C).
  7. Long, Huaigang & Zhu, Yanjian & Chen, Lifang & Jiang, Yuexiang, 2019. "Tail risk and expected stock returns around the world," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 162-178.
  8. Auer, Benjamin R. & Rottmann, Horst, 2019. "Have capital market anomalies worldwide attenuated in the recent era of high liquidity and trading activity?," Journal of Economics and Business, Elsevier, vol. 103(C), pages 61-79.
  9. Jacobs, Heiko, 2016. "Market maturity and mispricing," Journal of Financial Economics, Elsevier, vol. 122(2), pages 270-287.
  10. Tomasz Wójtowicz, 2017. "High-volume return premium on the stock markets in Warsaw and Vienna," Bank i Kredyt, Narodowy Bank Polski, vol. 48(4), pages 375-402.
  11. Long, Huaigang & Zaremba, Adam & Demir, Ender & Szczygielski, Jan Jakub & Vasenin, Mikhail, 2020. "Seasonality in the Cross-Section of Cryptocurrency Returns," Finance Research Letters, Elsevier, vol. 35(C).
  12. Zaremba, Adam & Szyszka, Adam, 2016. "Is there momentum in equity anomalies? Evidence from the Polish emerging market," Research in International Business and Finance, Elsevier, vol. 38(C), pages 546-564.
  13. Benjamin R. Auer & Tobias Hiller, 2021. "Cost gap, Shapley, or nucleolus allocation: Which is the best game‐theoretic remedy for the low‐risk anomaly?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(4), pages 876-884, June.
  14. Zaremba, Adam & Czapkiewicz, Anna, 2017. "Digesting anomalies in emerging European markets: A comparison of factor pricing models," Emerging Markets Review, Elsevier, vol. 31(C), pages 1-15.
  15. Stadtmüller, Immo & Auer, Benjamin R. & Schuhmacher, Frank, 2022. "On the benefits of active stock selection strategies for diversified investors," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 342-354.
  16. Long, Huaigang & Zaremba, Adam & Zhou, Wenyu & Bouri, Elie, 2022. "Macroeconomics matter: Leading economic indicators and the cross-section of global stock returns," Journal of Financial Markets, Elsevier, vol. 61(C).
  17. Rubesam, Alexandre, 2022. "Machine learning portfolios with equal risk contributions: Evidence from the Brazilian market," Emerging Markets Review, Elsevier, vol. 51(PB).
  18. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, November.
  19. Weber, Martin & Jacobs, Heiko & Regele, Tobias, 2015. "Expected Skewness and Momentum," CEPR Discussion Papers 10601, C.E.P.R. Discussion Papers.
  20. Nguyen, Hung T. & Pham, Mia Hang, 2021. "Air pollution and behavioral biases: Evidence from stock market anomalies," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  21. Zaremba, Adam & Bianchi, Robert J. & Mikutowski, Mateusz, 2021. "Long-run reversal in commodity returns: Insights from seven centuries of evidence," Journal of Banking & Finance, Elsevier, vol. 133(C).
  22. Adam Zaremba, 2016. "Has the Long-Term Reversal Reversed? Evidence from Country Equity Indices," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 88-103, March.
  23. Szymon Lis, 2022. "Investor Sentiment in Asset Pricing Models: A Review," Working Papers 2022-14, Faculty of Economic Sciences, University of Warsaw.
  24. Bayram Veli Salur & Cumhur Ekinci, 2023. "Anomalies and Investor Sentiment: International Evidence and the Impact of Size Factor," IJFS, MDPI, vol. 11(1), pages 1-21, March.
  25. Jacobs, Heiko & Müller, Sebastian, 2020. "Anomalies across the globe: Once public, no longer existent?," Journal of Financial Economics, Elsevier, vol. 135(1), pages 213-230.
  26. Zaremba, Adam & Kizys, Renatas & Raza, Muhammad Wajid, 2020. "The long-run reversal in the long run: Insights from two centuries of international equity returns," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 177-199.
  27. Degenhardt, Thomas & Auer, Benjamin R., 2018. "The “Sell in May” effect: A review and new empirical evidence," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 169-205.
  28. Benjamin Rainer Auer, 2018. "Are standard asset pricing factors long-range dependent?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(1), pages 66-88, January.
  29. Guidolin, Massimo & Ricci, Andrea, 2020. "Arbitrage risk and a sentiment as causes of persistent mispricing: The European evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 1-11.
  30. Zaremba, Adam & Mikutowski, Mateusz & Szczygielski, Jan Jakub & Karathanasopoulos, Andreas, 2021. "The alpha momentum effect in commodity markets," Energy Economics, Elsevier, vol. 93(C).
  31. Kostyantyn MALYSHENKO & Vadim MALYSHENKO & Elena Yu. PONOMAREVA & Marina ANASHKINA, 2019. "Analysis of the stock market anomalies in the context of changing the information paradigm," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 239-270, June.
  32. Cakici, Nusret & Zaremba, Adam, 2023. "Misery on Main Street, victory on Wall Street: Economic discomfort and the cross-section of global stock returns," Journal of Banking & Finance, Elsevier, vol. 149(C).
  33. Tian Ma & Cunfei Liao & Fuwei Jiang, 2023. "Timing the factor zoo via deep learning: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 485-505, March.
  34. Simlai, Prodosh E., 2016. "Time-varying risk, mispricing attributes, and the accrual premium," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 150-161.
  35. Zaremba, Adam & Cakici, Nusret & Bianchi, Robert J. & Long, Huaigang, 2023. "Interest rate changes and the cross-section of global equity returns," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
  36. Lee, Jaeram & Jeon, Hyunglae & Kang, Jangkoo & Lee, Changjun, 2020. "Do actively managed mutual funds exploit stock market mispricing?," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
  37. Hattori, Takahiro, 2021. "Noise as a liquidity measure: Evidence from the JGB market," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
  38. Zaremba, Adam & Karathanasopoulos, Andreas & Maydybura, Alina & Czapkiewicz, Anna & Bagheri, Noushin, 2020. "Dissecting anomalies in Islamic stocks: Integrated or segmented pricing?," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
  39. Jaydip Sen, 2022. "Designing Efficient Pair-Trading Strategies Using Cointegration for the Indian Stock Market," Papers 2211.07080, arXiv.org.
  40. Krauss, Christopher & Do, Xuan Anh & Huck, Nicolas, 2017. "Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500," European Journal of Operational Research, Elsevier, vol. 259(2), pages 689-702.
  41. Vitor Azevedo & Christoph Kaserer & Lucila M. S. Campos, 2021. "Investor sentiment and the time-varying sustainability premium," Journal of Asset Management, Palgrave Macmillan, vol. 22(7), pages 600-621, December.
  42. 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.
  43. Huck, Nicolas, 2019. "Large data sets and machine learning: Applications to statistical arbitrage," European Journal of Operational Research, Elsevier, vol. 278(1), pages 330-342.
  44. Zaremba, Adam & Umutlu, Mehmet & Karathanasopoulos, Andreas, 2019. "Alpha momentum and alpha reversal in country and industry equity indexes," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 144-161.
  45. Krauss, Christopher, 2015. "Statistical arbitrage pairs trading strategies: Review and outlook," FAU Discussion Papers in Economics 09/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  46. Fangming Xu & Huainan Zhao & Liyi Zheng, 2022. "Investment momentum: A two‐dimensional behavioural strategy," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1191-1207, January.
  47. Afego, Pyemo N., 2018. "Index shocks, investor action and long-run stock performance in Japan: A case of cultural behaviouralism?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 18(C), pages 54-66.
  48. Xing Han & Zheyao Pan, 2021. "Correlation and the omitted variable: A tale of two prices," Financial Management, Financial Management Association International, vol. 50(2), pages 519-552, June.
  49. Fischer, Thomas & Krauss, Christopher, 2018. "Deep learning with long short-term memory networks for financial market predictions," European Journal of Operational Research, Elsevier, vol. 270(2), pages 654-669.
  50. Chai, Daniel & Chiah, Mardy & Zhong, Angel & Li, Bob, 2022. "Another look at sources of momentum profits," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 310-323.
  51. Zaremba, Adam, 2019. "Cross-sectional seasonalities in international government bond returns," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 80-94.
  52. Zaremba, Adam & Szyszka, Adam & Karathanasopoulos, Andreas & Mikutowski, Mateusz, 2021. "Herding for profits: Market breadth and the cross-section of global equity returns," Economic Modelling, Elsevier, vol. 97(C), pages 348-364.
  53. Liu, Sha & Han, Jingguang, 2020. "Media tone and expected stock returns," International Review of Financial Analysis, Elsevier, vol. 70(C).
  54. Benjamin R. Auer, 2019. "Does the strength of capital market anomalies exhibit seasonal patterns?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 91-103, January.
  55. Benjamin R. Auer, 2021. "Have trend-following signals in commodity futures markets become less reliable in recent years?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(4), pages 533-553, December.
  56. Fischer, Thomas & Krauss, Christopher, 2017. "Deep learning with long short-term memory networks for financial market predictions," FAU Discussion Papers in Economics 11/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  57. Nick Inglis & Bruce Vanstone & Tobias Hahn, 2019. "Modelling momentum winner/loser asymmetry: the sources of winner and loser returns in the ASX200 and S&P500," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(S1), pages 657-684, April.
  58. Xiao Han & Nikolaos Sakkas & Jo Danbolt & Arman Eshraghi, 2022. "Persistence of investor sentiment and market mispricing," The Financial Review, Eastern Finance Association, vol. 57(3), pages 617-640, August.
  59. Zaremba, Adam & Szyszka, Adam & Long, Huaigang & Zawadka, Dariusz, 2020. "Business sentiment and the cross-section of global equity returns," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
  60. Strobel, Marcus & Auer, Benjamin R., 2018. "Does the predictive power of variable moving average rules vanish over time and can we explain such tendencies?," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 168-184.
  61. Zhang, Xinyue & Bissoondoyal-Bheenick, Emawtee & Zhong, Angel, 2023. "Investor sentiment and stock market anomalies in Australia," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 284-303.
  62. Krauss, Christopher & Beerstecher, Daniel & Krüger, Tom, 2015. "Feasible earnings momentum in the U.S. stock market: An investor's perspective," FAU Discussion Papers in Economics 12/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  63. Yu-Chin Hsu & Hsiou-Wei Lin & Kendro Vincent, 2017. "Do Cross-Sectional Stock Return Predictors Pass the Test without Data-Snooping Bias?," IEAS Working Paper : academic research 17-A003, Institute of Economics, Academia Sinica, Taipei, Taiwan.
  64. Jędrzej Białkowski & Moritz Wagner & Xiaopeng Wei, 2023. "Differences between NZ and U.S. individual investor sentiment: More noise or more information?," Working Papers in Economics 23/11, University of Canterbury, Department of Economics and Finance.
  65. Zaremba, Adam, 2019. "Price range and the cross-section of expected country and industry returns," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 174-189.
  66. Adam Zaremba, 2015. "The January seasonality and the performance of country-level value and momentum strategies," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 4(2), pages 195-209.
  67. Schnaubelt, Matthias & Seifert, Oleg, 2020. "Valuation ratios, surprises, uncertainty or sentiment: How does financial machine learning predict returns from earnings announcements?," FAU Discussion Papers in Economics 04/2020, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  68. Błażej Prusak & Marcin Potrykus, 2021. "Short-Term Price Reaction to Filing for Bankruptcy and Restructuring Proceedings—The Case of Poland," Risks, MDPI, vol. 9(3), pages 1-14, March.
  69. Zaremba, Adam & Okoń, Szymon & Asyngier, Roman & Schroeter, Lucia, 2019. "Reverse splits in international stock markets: Reconciling the evidence on long-term returns," Research in International Business and Finance, Elsevier, vol. 47(C), pages 552-562.
  70. Adam Zaremba, 2018. "Country Risk and Expected Returns Across Global Equity Markets," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(4), pages 374-398, September.
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