Frictional Costs of Diversification
Introduction
A Primer on Portfolio Theory
Application in Mean–Variance Investing
Diversification
Frictional Costs of Diversification
Risk Parity
Incorporating Deviations from Normality: Lower Partial Moments
Portfolio Resampling and Estimation Error
Robust Portfolio Optimisation and Estimation Error
Bayesian Analysis and Portfolio Choice
Testing Portfolio Construction Methodologies Out-of-Sample
Portfolio Construction with Transaction Costs
Portfolio Optimisation with Options: From the Static Replication of CPPI Strategies to a More General Framework
Scenario Optimisation
Core–Satellite Investing: Budgeting Active Manager Risk
Benchmark-Relative Optimisation
Removing Long-Only Constraints: 120/20 Investing
Performance-Based Fees, Incentives and Dynamic Tracking Error Choice
Long-Term Portfolio Choice
Risk Management for Asset-Management Companies
Valuation of Asset Management Firms
Tail Risk Hedging
Since the establishment of Modern Portfolio Theory, researchers have started to test how well its normative diversification advice is reflected in observed portfolios. Early studies focused on equity markets and tried to answer the question “how many stocks make a diversified portfolio?”. Elton and Gruber (1977), Statman (1987, 2003), Newbould and Poon (1993) and O’Neal (1997) all come to different conclusions about the optimal number of stocks in a naively diversified portfolio (randomly selected stocks with equal weighting in the absence of conditioning information). The recommended holdings range between 10 and 300 stocks. However, even these numbers are high relative to the accounts of individual investors, which often contain only a handful of stocks as well as large holdings in their own company stocks. On the back of these results, Statman (2003) coined the term “behavioural portfolio theory”, ie, the attempt to “rationalise” the apparent under-diversification of individual investors. In his view, individual investors divide their total wealth into mental buckets according to their investment goals. Equities fall into the top portfolio layer that reflects the investors’
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