Dealing with Risk Factors

Autor: Chafic Merhy, Guillaume Simon, Florian Ielpo
Rok vydání: 2017
Předmět:
DOI: 10.1016/b978-1-78548-162-8.50002-5
Popis: The ex ante future distribution of the portfolio’s P&L is the relevant objective function that a portfolio manager looks at before making an investment decision. Tracking Error Volatility (TEV) or Value at Risk (VaR) are synthetic risk statistics commonly used to measure the risk of the P&L distribution yet to come. Portfolio optimization, including mean-variance portfolios, heavily relies on the relevance of the ex ante P&L distribution. This chapter introduces key concepts regarding a sound projection of the ex ante P&L distribution and discusses the relevant modeling approaches. It brings forward the building blocks of a comprehensive framework while pointing out the pitfalls of each step.
Databáze: OpenAIRE