Mean-Variance Analysis and the Diversification of Risk

Abstract
Harry W. Markowitz in the 1950’s developed mean-variance analysis, the theory of combining risky assets so as to minimize the variance of return (i.e., risk) at any desired mean return. The locus of optimal mean-variance combinations is called the efficient frontier, on which all rational investors desire to be positioned. Actuaries see diagrams of efficient frontiers in their finance readings. Perhaps they are aware that efficient frontiers are parabolic. However, no mathematics is ever presented, so actuaries would be at a loss to derive an efficient frontier for problems involving more than two assets. But the minimum-variance combination of assets as a function of expected return has a simple matrix formulation; and the derivation of this formula is well within the grasp of actuaries. From this follows the formula for the efficient frontier. This paper will present the mathematical theory of the efficient frontier. Then the theory will be illustrated by deriving the efficient frontier of a portfolio of stocks, treasury bonds, and treasury bills, as discussed in Ibbotson’s Stocks, Bonds, Bills, and Inflation 1994 Yearbook. Also shown will be how to determine the mix of annual statement items which minimizes risk-based capital. An appendix will delve into the theory more deeply.
Volume
May
Page
1-22
Year
1995
Categories
Actuarial Applications and Methodologies
Enterprise Risk Management
Processes
Analyzing/Quantifying Risks
Actuarial Applications and Methodologies
Enterprise Risk Management
Processes
Assessing/Prioritizing Risks
Financial and Statistical Methods
Asset and Econometric Modeling
Asset Classes
Equities
Financial and Statistical Methods
Asset and Econometric Modeling
Asset Classes
Treasury Bonds
Actuarial Applications and Methodologies
Investments
Efficient Frontier
Actuarial Applications and Methodologies
Investments
Portfolio Strategy
Publications
Casualty Actuarial Society Discussion Paper Program
Prizes
Michelbacher Prize
Authors
Leigh J Halliwell