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Home Bias, an Academic Puzzle

Citations

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Cited by:

  1. Sara Ain Tommar & Serge Darolles & E. Jurzcenko, 2018. "Is destiny worth the Distance? On Private Equity in Emerging Markets," Post-Print hal-04010167, HAL.
  2. 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).
  3. Hoang, Khoa & Cannavan, Damien & Gaunt, Clive & Huang, Ronghong, 2019. "Is that factor just lucky? Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
  4. Hajiyev, Aghamehman & Keiber, Karl Ludwig & Luczak, Adalbert, 2024. "Tug of war with noise traders? Evidence from the G7 stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 234-243.
  5. Brooks, Chris & Fenton, Evelyn & Schopohl, Lisa & Walker, James, 2019. "Why does research in finance have so little impact?," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 58(C), pages 24-52.
  6. Chang, Danting, 2021. "Fundamental anomalies and the size puzzle in China: A data mining approach," Finance Research Letters, Elsevier, vol. 42(C).
  7. Ali, Fahad & Khurram, Muhammad Usman & Sensoy, Ahmet & Vo, Xuan Vinh, 2024. "Green cryptocurrencies and portfolio diversification in the era of greener paths," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
  8. Vitor Azevedo & Georg Sebastian Kaiser & Sebastian Mueller, 2023. "Stock market anomalies and machine learning across the globe," Journal of Asset Management, Palgrave Macmillan, vol. 24(5), pages 419-441, September.
  9. Tobek, Ondrej & Hronec, Martin, 2021. "Does it pay to follow anomalies research? Machine learning approach with international evidence," Journal of Financial Markets, Elsevier, vol. 56(C).
  10. Hanauer, Matthias X. & Lesnevski, Pavel & Smajlbegovic, Esad, 2023. "Surprise in short interest," Journal of Financial Markets, Elsevier, vol. 65(C).
  11. Banerjee, Rajabrata & Gupta, Kartick & Mudalige, Priyantha, 2020. "Do environmentally sustainable practices lead to financially less constrained firms? International evidence," International Review of Financial Analysis, Elsevier, vol. 68(C).
  12. Christian Fieberg & Daniel Metko & Thorsten Poddig & Thomas Loy, 2023. "Machine learning techniques for cross-sectional equity returns’ prediction," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 289-323, March.
  13. Christian Bauer & Marc Oliver Rieger, 2021. "The Slow Death of Capital Protection," JRFM, MDPI, vol. 14(7), pages 1-8, July.
  14. Donald E. Bowen III & Laurent Frésard & Jérôme P. Taillard, 2017. "What’s Your Identification Strategy? Innovation in Corporate Finance Research," Management Science, INFORMS, vol. 63(8), pages 2529-2548, August.
  15. Gupta, Kartick & Krishnamurti, Chandrasekhar, 2018. "Do macroeconomic conditions and oil prices influence corporate risk-taking?," Journal of Corporate Finance, Elsevier, vol. 53(C), pages 65-86.
  16. Eduard Gaar & David Scherer & Dirk Schiereck, 2022. "The home bias and the local bias: A survey," Management Review Quarterly, Springer, vol. 72(1), pages 21-57, February.
  17. Söhnke M. Bartram & Harald Lohre & Peter F. Pope & Ananthalakshmi Ranganathan, 2021. "Navigating the factor zoo around the world: an institutional investor perspective," Journal of Business Economics, Springer, vol. 91(5), pages 655-703, July.
  18. Antonio Marsi, 2023. "Predicting European stock returns using machine learning," SN Business & Economics, Springer, vol. 3(7), pages 1-25, July.
  19. Ali, Fahad & Sensoy, Ahmet & Goodell, John W., 2023. "Identifying diversifiers, hedges, and safe havens among Asia Pacific equity markets during COVID-19: New results for ongoing portfolio allocation," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 744-792.
  20. Banerjee, Rajabrata & Gupta, Kartick, 2021. "Do country or firm-specific factors matter more to R&D spending in firms?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 75-95.
  21. Patrick Bielstein & Matthias X. Hanauer, 2019. "Mean-variance optimization using forward-looking return estimates," Review of Quantitative Finance and Accounting, Springer, vol. 52(3), pages 815-840, April.
  22. Asgar Ali & K. N. Badhani, 2021. "Beta-Anomaly: Evidence from the Indian Equity Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(1), pages 55-78, March.
  23. Kartick Gupta & Chandrasekhar Krishnamurti, 2020. "Do Countries Matter More in Determining the Relationship Between Employee Welfare and Financial Performance?," International Review of Finance, International Review of Finance Ltd., vol. 20(2), pages 415-450, June.
  24. Hou, Kewei & Xue, Chen & Zhang, Lu, 2017. "Replicating Anomalies," Working Paper Series 2017-10, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
  25. Bouteska, Ahmed & Hassan, M. Kabir & Rashid, Mamunur & Bilgin, Mehmet Hüseyin, 2024. "The dynamics of bonds, commodities and bitcoin based on NARDL approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 58-70.
  26. Hanauer, Matthias X. & Lauterbach, Jochim G., 2019. "The cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 38(C), pages 265-286.
  27. 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.
  28. Franklin Allen & Alex Edmans, 2017. "Editorial," Review of Finance, European Finance Association, vol. 21(1), pages 1-6.
  29. Hanauer, Matthias X. & Kononova, Marina & Rapp, Marc Steffen, 2022. "Boosting agnostic fundamental analysis: Using machine learning to identify mispricing in European stock markets," Finance Research Letters, Elsevier, vol. 48(C).
  30. Hanauer, Matthias X. & Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2024. "Factor models for Chinese A-shares," International Review of Financial Analysis, Elsevier, vol. 91(C).
  31. Luis García‐Feijóo & Benjamin A. Jansen, 2023. "International evidence on the association of leverage with stock returns and the value premium," The Financial Review, Eastern Finance Association, vol. 58(2), pages 315-341, May.
  32. Gupta, Kartick & Krishnamurti, Chandra, 2023. "Does employees' interest matter more than shareholders’ interest in determining cash management policy?," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 568-589.
  33. Long, Huaigang & Chiah, Mardy & Cakici, Nusret & Zaremba, Adam & Bilgin, Mehmet Huseyin, 2024. "ESG investing in good and bad times: An international study," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
  34. Walkshäusl, Christian, 2021. "Predicting stock returns from the pricing and mispricing of accounting fundamentals," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 253-260.
  35. Landis, Conrad & Skouras, Spyros, 2021. "Guidelines for asset pricing research using international equity data from Thomson Reuters Datastream," Journal of Banking & Finance, Elsevier, vol. 130(C).
  36. Moya-Ponce, Claudine & Madrazo-Lemaroy, Pilar, 2023. "Beliefs that provide a foundation for heuristics and biases in financial decision-making," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
  37. Hanauer, Matthias X. & Windmüller, Steffen, 2023. "Enhanced momentum strategies," Journal of Banking & Finance, Elsevier, vol. 148(C).
  38. Huber, Daniel & Jacobs, Heiko & Müller, Sebastian & Preissler, Fabian, 2023. "International factor models," Journal of Banking & Finance, Elsevier, vol. 150(C).
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