2006The Journal of TradingRequires access

Incorporating Trading Strategies in the Black-Litterman Framework

Frank J. Fabozzi, Sergio M. Focardi, Petter N. Kolm

Open publisher page 71 citations

Abstract

The simplicity and the intuitive appeal of portfolio construction using modern portfolio theory have attracted significant attention both in academia and in practice. Yet, despite considerable effort it took many years until portfolio managers started using modern portfolio theory for managing real money. Unfortunately, in real world applications there are many problems associated with it, and portfolio optimization is still considered by many practitioners to be difficult to apply. Introducing a simple crosssectional momentum strategy, we show how we can combine this strategy with market equilibrium using the Black-Litterman model in the mean-variance framework to rebalance the portfolio on a monthly basis. TOPICS:Portfolio construction, portfolio theory, performance measurement

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What this paper is about

The simplicity and the intuitive appeal of portfolio construction using modern portfolio theory have attracted significant attention both in academia and in practice. Yet, despite considerable effort it took many years until portfolio managers started using modern portfolio theory for managing real money. Unfortunately, in real world applications there are many problems associated with it, and portfolio optimization is still considered by many practitioners to be difficult to apply. Introducing a simple crosssectional momentum strategy, we show how we can combine this strategy with market equilibrium using the Black-Litterman model in the mean-variance framework to rebalance the portfolio on a monthly basis. TOPICS:Portfolio construction, portfolio theory, performance measurement

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OpenAlex reports 71 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The simplicity and the intuitive appeal of portfolio construction using modern portfolio theory have attracted significant attention both in academia and in practice. Yet, despite considerable effort it took many years until portfolio managers started using modern portfolio theory for managing real money. Unfortunately, in real world applications there are many problems associated with it, and portfolio optimization is still considered by many practitioners to be difficult to apply. Introducing a simple crosssectional momentum strategy, we show how we can combine this strategy with market equilibrium using the Black-Litterman model in the mean-variance framework to rebalance the portfolio on a monthly basis. TOPICS:Portfolio construction, portfolio theory, performance measurement

Key concepts: Black–Litterman model, Portfolio, Portfolio optimization, Post-modern portfolio theory, Modern portfolio theory, Application portfolio management, Simplicity, Computer science

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