scispace - formally typeset
Journal ArticleDOI

Asset allocation: management style and performance measurement

William F. Sharpe
- 31 Jan 1992 - 
- Vol. 18, Iss: 2, pp 7-19
Reads0
Chats0
TLDR
In this paper, the authors define asset allocation as the allocation of an investor's portfolio across a number of ”major” asset classes, and propose an effective way to accomplish all these tasks is to use an asset class factor model.
Abstract
is widely agreed that asset allocation accounts for a large part of the variability in the return on a typical investor’s portfolio. This is especially true if the portfolio is invested in multiple funds, each including a number of securities. Asset allocation is generally defined as the allocation of an investor’s portfolio across a number of ”major” asset classes. Clearly such a generalization cannot be made operational without defining such classes. Once a set of asset classes has been defined, it is important to determine the exposures of each component of an investor’s overall portfolio to movements in their returns. Such information can be aggregated to determine the investor’s overall effective asset mix. If it does not conform to the desired mix, appropriate alterations can then be made. Once a procedure for measuring exposure to variations in returns of major asset classes is in place, it is possible to determine how effectively individual fund managers have performed their functions and the extent (if any) to which value has been added through active management. Finally, the effectiveness of the investor’s overall asset allocation can be compared with that of one or more benchmark, asset mixes. An effective way to accomplish all these tasks is to use an asset class factor model. After describing 7 5 w 8

read more

Citations
More filters
Journal ArticleDOI

Measuring Fund Strategy and Performance in Changing Economic Conditions

Wayne E. Ferson, +1 more
- 01 Jun 1996 - 
TL;DR: This paper proposed conditional performance evaluation in which the relevant expectations are conditioned on public information variables and modified several classical performance measures to this end and find that the predetermined variables are both statistically and economically significant.
Journal ArticleDOI

Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds

TL;DR: This article found that hedge funds follow strategies that are dramatically different from mutual funds, and support the claim that these strategies are highly dynamic, and found five dominant investment styles in hedge funds, which when added to Sharpe's asset class factor model can provide an integrated framework for style analysis of both buy-and-hold and dynamic trading strategies.
Journal ArticleDOI

The Risk in Hedge Fund Strategies: Theory and Evidence from Trend Followers

TL;DR: The authors used lookback straddles to model trend-following strategies, and showed that they can explain hedge fund's returns better than standard asset indices, and they can be useful in the design of performance benchmarks for trend following funds.
Journal ArticleDOI

The Performance of Hedge Funds: Risk, Return, and Incentives

TL;DR: In this article, a large sample of hedge fund data from 1988-1995 was used to find that hedge funds consistently outperform mutual funds, but not standard market indices, and the impact of six data-conditioning biases was explored.
Journal ArticleDOI

Hedge Fund Benchmarks: A Risk-Based Approach

TL;DR: The authors proposed a model of hedge fund returns that is similar to models based on arbitrage pricing theory, with dynamic risk-factor coefficients for diversified hedge fund portfolios, which can explain up to 80 percent of monthly return variations.
References
More filters
Book

Mean-Variance Analysis in Portfolio Choice and Capital Markets

TL;DR: In this paper, the general portfolio selection model preliminary results solution to a portfolio selection program special cases a special case portfolio selection programme is presented, and the model is used for portfolio selection.
Book

Advances in Mathematical Programming and Financial Planning

TL;DR: In this article, the authors present state-of-the-art studies in the integration of mathematical programming into financial planning and management, including topics such as cash management, capital budgeting, financial decisions, portfolio management and performance analysis, and financial planning models.