Introduction
Introduction
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
Investment banking, asset management and wealth management are sophisticated industries that correspond to the investment needs of a large population of investors (institutional and private individuals) who require quantitative but intuitive solutions for investment decision-making. Products with mathematically complex payoffs (eg, structured notes) are nowadays broadly traded on financial markets and distributed to final investors. Yet, institutional portfolio management is often based upon rules of thumb and simplifications, such as the usage of benchmarks to proxy real investments. This can affect the coherence of optimal portfolio analysis and lead to inefficient capital allocations across risk factors and asset classes. This book addresses a renewed interpretation of portfolio choice based upon a modern risk management perspective and a clearer definition of the investors’ risk–return profile. The probability of achieving a desired target return (ie, a return target for an investment fund, a return ambition for a private investor) or minimising risk (ie, a value-at-risk (VaR) limit for a trading desk, a potential capital loss for a private investment) is chosen as the
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Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net