A Generalized Black–Litterman Model

Published Online:https://doi.org/10.1287/opre.2019.1893

References

  • Beach SL, Orlov AG (2007) An application of the Black–Litterman model with EGARCH-M-derived views for international portfolio management. Financial Markets Portfolio Management 21(2):147–166.CrossrefGoogle Scholar
  • Bertsimas D, Gupta V, Paschalidis IC (2012) Inverse optimization: A new perspective on the Black–Litterman model. Oper. Res. 60(6):1389–1403.LinkGoogle Scholar
  • Black F, Litterman R (1991) Asset allocation: Combining investor views with market equilibrium. J. Fixed Income 1(2):7–18.CrossrefGoogle Scholar
  • Black F, Litterman R (1992) Global portfolio optimization. Financial Analysts J. 48(5):28–43.CrossrefGoogle Scholar
  • DeMiguel V, Garlappi L, Nogales FJ, Uppal R (2009) A generalized approach to portfolio optimization: Improving performance by constraining portfolio norms. Management Sci. 55(5):798–812.LinkGoogle Scholar
  • Fama E, French K (1993) Common risk factors in the returns on stocks and bonds. J. Financial Econom. 33(1):3–56.CrossrefGoogle Scholar
  • Fama E, French K (1996) Multifactor explanations of asset pricing anomalies. J. Finance 51(1):55–84.CrossrefGoogle Scholar
  • Fama E, French K (2004) The capital asset pricing model: Theory and evidence. J. Econom. Perspect. 18(3):25–46.CrossrefGoogle Scholar
  • Gelman A, Carlin JB, Stern HS, Rubin DB (2004) Bayesian Data Analysis (Chapman & Hall/CRC, Boca Raton, FL).Google Scholar
  • Gilks WR, Richardson S, Spiegelhalter DJ (1996) Introducing Markov chain Monte Carlo. Gilks WR, Richardson S, Spiegelhalter DJ, eds. Markov Chain Monte Carlo in Practice (Chapman and Hall/CRC, Boca Raton, FL), 1–19.Google Scholar
  • He G (2002) The intuition behind Black–Litterman model portfolios. Preprint, submitted October 28, http://dx.doi.org/10.2139/ssrn.334304.Google Scholar
  • Idzorek TM (2002) A step-by-step guide to the Black–Litterman model. Satchell S, ed. Forecasting Expected Returns in the Financial Markets (Academic Press, London), 17–37.Google Scholar
  • Khandani AE, Lo AW (2011) What happened to the quants in August 2007? Evidence from factors and transactions data. J. Financial Markets 14(1):1–46.CrossrefGoogle Scholar
  • Krishnan H, Mains N (2005) The two-factor Black-Litterman model. Risk Magazine 18(7):69–73.Google Scholar
  • Lim AEB, Wimonkittiwat P (2016) Dynamic portfolio choice under a hidden Markov model. Working paper, National University of Singapore, Singapore.Google Scholar
  • Meucci A (2006) Beyond Black–Litterman: Views on non-normal markets. Risk Magazine 19(2):87–92.Google Scholar
  • Meyn SP, Tweedie R (1993) Markov Chains and Stochastic Stability (Springer-Verlag, Berlin).CrossrefGoogle Scholar
  • Opdyke JD (2007) Comparing Sharpe ratios: So where are the p-values? J. Asset Management 8(5):308–336.CrossrefGoogle Scholar
  • Qian E, Gorman S (2001) Conditional distribution in portfolio theory. Financial Analysts J. 57(2):44–51.CrossrefGoogle Scholar
  • Roberts GO, Rosenthal JS (2004) General state space Markov chains and MCMC algorithms. Probab. Surveys 1:20–71.CrossrefGoogle Scholar
  • Rockafellar RT, Uryasev S (2000) Optimization of conditional value-at-risk. J. Risk 2(3):21–42.CrossrefGoogle Scholar
  • Satchell S, Scowcroft A (2000) A demystification of the Black–Litterman model: Managing quantitative and traditional portfolio construction. J. Asset Management 1(2):138–150.CrossrefGoogle Scholar
  • Shapiro A, Dentcheva D, Ruszczynski A (2014) Lectures on Stochastic Programming: Modeling and Theory, 2nd ed., MOS-SIAM Series on Optimization (SIAM, Philadelphia).CrossrefGoogle Scholar
  • Theil H (1971) Principles of Econometrics (Wiley, New York).Google Scholar
  • Walters J (2011) The Black–Litterman model in detail. Working paper, Boston University, Boston.Google Scholar
  • Walters J (2013) The factor tau in the Black–Litterman model. Working paper, Boston University, Boston.Google Scholar
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