Beyond Modern Portfolio Theory
Beyond Modern Portfolio Theory
Foreword
Introduction
Beyond Modern Portfolio Theory
A Modern Risk Management Perspective
The Probability Measure
Real Securities and Reinvestment Strategies: Fixed-Income and Inflation-Linked Securities and Structured Products
Derivation and Modelling of Risk–Return Time Profiles
À la Markowitz: A Tale of Simple Worlds
The Black–Litterman Approach: A Tale of Subjective Views
Probabilistic Scenario Optimisation
Case Studies: Mean–Variance and Black–Litterman
Case Studies: Probabilistic Scenario Optimisation
An investment in knowledge pays the best interest.
Benjamin Franklin (1706–90)
This chapter sketches the main arguments of this book, which are related to portfolio choice for long-term and goal-based investing, and provides a summary of Modern Portfolio Theory, the Black–Litterman approach, probabilistic scenario optimisation and knowledge-based principles of optimal investing.
INTRODUCTION
Financial markets underwent a profound transformation during the last decade of the 20th century. The integration of international markets, fostered by broader deregulation of cross-border capital flows, was accompanied by strong financial innovation: the landscape of investment opportunities became more accessible yet heterogeneous (ie, derivatives, structured products, securitisation) and also more interdependent, as revealed by the contagion risk that characterised the global financial crisis in 2007–12. This affected the dynamics of the correlations among global asset classes, as it appeared not only that risks become over-concentrated more often than expected, instead of being diversified away across a larger number of players, but also that asset classes co-move faster than
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