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Research Article

Incorporating different sources of information for Bayesian optimal portfolio selection

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Accepted author version posted online: 16 Jul 2024
Accepted author version

References

  • Avramov, D. and Zhou, G. (2010). Bayesian portfolio analysis. Annual Review of Financial Economics, 2(1):25–47.
  • Bailey, D. H. and Lopez de Prado, M. (2012). The Sharpe ratio efficient frontier. Journal of Risk, 15(2):3–44.
  • Baker, S. R., Bloom, N., and Davis, S. J. (2016). Measuring economic policy uncertainty. The Quarterly Journal of Economics, 131(4):1593–1636.
  • Bauder, D., Bodnar, T., Mazur, S., and Okhrin, Y. (2018). Bayesian inference for the tangent portfolio. International Journal of Theoretical and Applied Finance, 21(08):1850054.
  • Bauder, D., Bodnar, T., Parolya, N., and Schmid, W. (2021). Bayesian mean–variance analysis: Optimal portfolio selection under parameter uncertainty. Quantitative Finance, 21(2):221–242.
  • Bawa, V. S., Brown, S. J., and Klein, R. W. (1979). Estimation Risk and Optimal Portfolio Choice. North-Holland.
  • Bernardo, J. M. and Smith, A. F. (2000). Bayesian Theory, volume 405. John Wiley & Sons.
  • Black, F. and Litterman, R. (1992). Global portfolio optimization. Financial Analysts Journal, 48(5):28–43.
  • Blair, B. J., Poon, S.-H., and Taylor, S. J. (2010). Forecasting S&P 100 volatility: The incremental information content of implied volatilities and high-frequency index returns. In Handbook of Quantitative Finance and Risk Management, pages 1333–1344. Springer.
  • Bodnar, T., Dette, H., Parolya, N., and Thorsén, E. (2022a). Sampling distributions of optimal portfolio weights and characteristics in small and large dimensions. Random Matrices: Theory and Applications, 11(01):2250008.
  • Bodnar, T., Lindholm, M., Niklasson, V., and Thorsén, E. (2022b). Bayesian portfolio selection using VaR and CVaR. Applied Mathematics and Computation, 427:127120.
  • Bodnar, T., Mazur, S., and Okhrin, Y. (2017). Bayesian estimation of the global minimum variance portfolio. European Journal of Operational Research, 256(1):292–307.
  • Bodnar, T., Okhrin, Y., and Parolya, N. (2023). Optimal shrinkage-based portfolio selection in high dimensions. Journal of Business & Economic Statistics, 41(1):140–156.
  • Britten-Jones, M. (1999). The sampling error in estimates of mean-variance efficient portfolio weights. The Journal of Finance, 54(2):655–671.
  • Cai, T. T., Hu, J., Li, Y., and Zheng, X. (2020). High-dimensional minimum variance portfolio estimation based on high-frequency data. Journal of Econometrics, 214(2):482–494.
  • DeMiguel, V., Garlappi, L., and Uppal, R. (2009). Optimal versus naive diversification: How inefficient is the 1/n portfolio strategy? The Review of Financial Studies, 22(5):1915–1953.
  • DeMiguel, V., Martin-Utrera, A., Nogales, F. J., and Uppal, R. (2020). A transaction-cost perspective on the multitude of firm characteristics. The Review of Financial Studies, 33(5):2180–2222.
  • DeMiguel, V., Martin-Utrera, A., and Uppal, R. (2021). A multifactor perspective on volatility-managed portfolios. Available at SSRN 3982504.
  • Ding, W., Shu, L., and Gu, X. (2023). A robust Glasso approach to portfolio selection in high dimensions. Journal of Empirical Finance, 70:22–37.
  • Ding, Y., Li, Y., and Zheng, X. (2021). High dimensional minimum variance portfolio estimation under statistical factor models. Journal of Econometrics, 222(1):502–515.
  • Fama, E. F. (1976). Foundations of Finance. Basic Books, New York.
  • French, K. R., Schwert, G. W., and Stambaugh, R. F. (1987). Expected stock returns and volatility. Journal of Financial Economics, 19(1):3–29.
  • Frost, P. A. and Savarino, J. E. (1986). An empirical Bayes approach to efficient portfolio selection. Journal of Financial and Quantitative Analysis, 21(3):293–305.
  • Greyserman, A., Jones, D. H., and Strawderman, W. E. (2006). Portfolio selection using hierarchical Bayesian analysis and MCMC methods. Journal of Banking & Finance, 30(2):669–678.
  • Gupta, A. K. and Nagar, D. K. (2000). Matrix Variate Distributions. Chapman and Hall/CRC.
  • Hahn, P. R. and Carvalho, C. M. (2015). Decoupling shrinkage and selection in bayesian linear models: a posterior summary perspective. Journal of the American Statistical Association, 110(509):435–448.
  • Ingersoll, J. (1987). Theory of Financial Decision Making. Rowman & Littlefield, New Jersey.
  • Jobson, J. D. and Korkie, B. (1980). Estimation for Markowitz efficient portfolios. Journal of the American Statistical Association, 75(371):544–554.
  • Jobson, J. D. and Korkie, B. M. (1981). Performance hypothesis testing with the Sharpe and Treynor measures. Journal of Finance, 36(4):889–908.
  • Jorion, P. (1986). Bayes-Stein estimation for portfolio analysis. The Journal of Financial and Quantitative Analysis, 21:279–292.
  • Kan, R., Wang, X., and Zhou, G. (2022). Optimal portfolio choice with estimation risk: No risk-free asset case. Management Science, 68(3):2047–2068.
  • Kan, R. and Zhou, G. (2007). Optimal portfolio choice with parameter uncertainty. Journal of Financial and Quantitative Analysis, 42(3):621–656.
  • Kownatzki, C. (2016). How good is the VIX as a predictor of market risk? Journal of Accounting and Finance, 16(6):39.
  • Lassance, N., DeMiguel, V., and Vrins, F. (2022). Optimal portfolio diversification via independent component analysis. Operations Research, 70(1):55–72.
  • Lassance, N., Vanderveken, R., and Vrins, F. (2024). On the combination of naive and mean-variance portfolio strategies. Journal of Business & Economic Statistics, to appear.
  • Ledoit, O. and Wolf, M. (2004). Honey, I shrunk the sample covariance matrix. The Journal of Portfolio Management, 30(4):110–119.
  • Maheu, J. M. and McCurdy, T. H. (2000). Identifying bull and bear markets in stock returns. Journal of Business & Economic Statistics, 18(1):100–112.
  • Maheu, J. M., McCurdy, T. H., and Song, Y. (2012). Components of bull and bear markets: bull corrections and bear rallies. Journal of Business & Economic Statistics, 30(3):391–403.
  • Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7:77–91.
  • Markowitz, H. (1959). Portfolio Selection: Efficient Diversification of Investments. John Wiley & Sons, Inc and Chapman & Hall, Ltd., New York.
  • Martin, R. A. (2021). Pyportfolioopt: Portfolio optimization in python. Journal of Open Source Software, 6(61):3066.
  • Okhrin, Y. and Schmid, W. (2006). Distributional properties of portfolio weights. Journal of Econometrics, 134(1):235–256.
  • Pástor, L. (2000). Portfolio selection and asset pricing models. The Journal of Finance, 55(1):179–223.
  • Pástor, L. and Stambaugh, R. F. (2000). Comparing asset pricing models: An investment perspective. Journal of Financial Economics, 56(3):335–381.
  • Poon, S.-H. and Granger, C. W. (2003). Forecasting volatility in financial markets: A review. Journal of Economic Literature, 41(2):478–539.
  • Puelz, D., Hahn, P. R., and Carvalho, C. M. (2017). Variable selection in seemingly unrelated regressions with random predictors. Bayesian Analysis, 12(4):969–989.
  • Puelz, D., Hahn, P. R., and Carvalho, C. M. (2020). Portfolio selection for individual passive investing. Applied Stochastic Models in Business and Industry, 36(1):124–142.
  • Rachev, S. T., Hsu, J. S., Bagasheva, B. S., and Fabozzi, F. J. (2008). Bayesian Methods in Finance. John Wiley & Sons.
  • Reh, L., Krüger, F., and Liesenfeld, R. (2023). Predicting the global minimum variance portfolio. Journal of Business & Economic Statistics, page to appear.
  • Schwert, G. W. (1990). Stock volatility and the crash of’87. The Review of Financial Studies, 3(1):77–102.
  • Schwert, G. W. and Seguin, P. J. (1991). Heteroskedasticity in stock returns. The Journal of Finance, 45(4):1129–1155.
  • Stambaugh, R. F. (1997). Analyzing investments whose histories differ in length. Journal of Financial Economics, 45(3):285–331.
  • Sundberg, R. (2019). Statistical Modelling by Exponential Families, volume 12. Cambridge University Press.
  • Tu, J. and Zhou, G. (2010). Incorporating economic objectives into Bayesian priors: Portfolio choice under parameter uncertainty. Journal of Financial and Quantitative Analysis, 45(4):959–986.
  • Whaley, R. E. (2009). Understanding the VIX. The Journal of Portfolio Management, 35(3):98–105.
  • Winkler, R. L. (1973). Bayesian models for forecasting future security prices. Journal of Financial and Quantitative Analysis, pages 387–405.
  • Zellner, A. and Chetty, V. K. (1965). Prediction and decision problems in regression models from the Bayesian point of view. Journal of the American Statistical Association, 60(310):608–616.