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Sharpe Ratio Related Scholarly Compositions

See also: Sharpe Ratio Related News, Sharpe Ratio Related Books, or Sharpe Ratio Home Page.
 
Table of Contents:
 

Adjusting for risk: An improved Sharpe ratio
by Kevin Dowd
University of Nottingham Business School
July, 1999


Abstract
This paper proposes a new rule for risk adjustment and performance evaluation. This rule is a generalization of the well-known Sharpe ratio criterion, and under normal conditions enables a manager to correctly assess alternative risky investments. The rule is superior to existing rules such as the standard Sharpe rule and the RAROC, and can make a substantial difference in estimates of required returns...

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An Algorithm for Trading and Portfolio Management Using Q-learning and Sharpe Ratio Maximization
by Xiu Gao & Laiwan Chan
The Chinese University of Hong Kong


Abstract
A trading and portfolio management system called QSR is proposed. It uses Q-learning and Sharpe ratio maximization algorithm. We use absolute prot and relative risk-adjusted prot as performance function to train the system respectively, and employ a committee of two networks to do the testing...

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Are independent risks substitutes according to the Generalized Sharpe Ratio?
by Dirk Tasche & Luisa Tibiletti
April 11, 2001


Abstract
Independent risks are substitutes if the opportunity to invest in one risk cuts
down the demand in the others. Intuition seems to sustain this idea, but if the problem is tackled in a normative framework, no consensus in the literature is found. In this paper we investigate what does happen if the decision rule is based on the Generalized Sharpe Ratio...

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Bias and Consistency of the Maximum Sharpe Ratio
by R. A. Maller, R. B. Durand, & P. T. Lee
Australian National University & University of Western Australia


Abstract
We show that the maximum Sharpe ratio obtained via the Markowitz optimization procedure from a sample of returns on a number of risky assets is, under commonly satisfied assumptions, biased upwards for the population value. Thus investment advice, decisions and assessments based on the estimated Sharpe ratio will be overly optimistic. The bias in the estimator is shown theoretically and illustrated using a data set of Spiders and iShares...

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A Double Sharpe Ratio
by Hrishikesh D. Vinod & Matthew R. Morey
Fordham University & Pace University
June 1, 1999


Abstract
Sharpe's (1966) portfolio performance ratio, the ratio of the portfolio's expected return to its standard deviation, is a very well known tool for comparing portfolios. However, due to the presence of random denominators in the definition of the ratio, the sampling distribution of the Sharpe ratio is somewhat difficult to determine. This paper studies the properties of Sharpe ratio and then uses the bootstrap methodology to suggest a new "double" Sharpe ratio which incorporates estimation risk...

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Easily Implemented Confidence Intervals and Hypothesis Tests for Sharpe Ratios Under General Conditions
by J.D. Opdyke
DataMineIt
2006


Abstract
Until recently, since Jobson & Korkie (1981) derivations of the asymptotic distribution of the Sharpe ratio that are practically useable for generating confidence intervals or for conducting one- and two-sample hypothesis tests have relied on the restrictive, and now widely refuted, assumption of normally distributed returns. This paper presents an easily implemented formula for the asymptotic distribution that is valid under very general conditions – stationary and ergodic returns – thus permitting time-varying conditional volatilities, serial correlation, and other non-iid returns behavior. It is consistent with that of Christie (2005), but it is more mathematically tractable and intuitive, and simple enough to be used in a spreadsheet. Also generalized beyond the normality assumption is the small sample bias adjustment presented in Christie (2005). A thorough simulation study examines the finite sample behavior of the derived one- and two-sample estimators under the realistic returns conditions of concurrent leptokurtosis, asymmetry, and importantly (for the two-sample estimator), strong positive correlation between funds, the effects of which have been overlooked in previous studies. The two-sample statistic exhibits reasonable level control and power under these real world conditions. This makes its application to the ubiquitous Sharpe ratio rankings of mutual funds very useful, since the implicit pairwise comparisons in these orderings have little inferential value on their own. Using actual returns data from forty mutual funds, the statistic yields statistically significant results for many such pairwise comparisons of the ranked funds. It should be useful for other purposes as well, wherever Sharpe ratios are used in performance assessment.


JEL: C10, C12, C13, G10, G11 Keywords: performance, risk, portfolio, mutual fund, asymmetry, heavy tails

View composition on SSRN

View composition on DataMineIt.com                                                                                            

See Also: SAS Program for generating Fund rankings with p-values, as derived in paper

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Efficient Use of Conditioning Information: A Sharpe Ratio Based Test for Return Predictability
by Abhay Abhyankar, Devraj Basu, & Alexander Stremme
Warwick Business School
March, 2002


Abstract
In this paper we propose a Sharpe ratio based test of whether return predictability significantly expands the mean-variance frontier. Building on the conditional asset pricing theory of Hansen and Richard (1987), as well as results of our own earlier work, we are able to explicitly characterize the difference in maximum squared Sharpe ratios with and without conditioning information. We show that this difference can be related directly to the R2 of a predictive regression...

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Financial Valuation of Mortality Risk via the Instantaneous Sharpe Ratio
by Moshe A. Milevsky, S. David Promislow, & Virginia R. Young
September 20, 2005


Abstract
We develop a theory for pricing non-diversifiable mortality risk in an incomplete market. We do this by assuming that the company issuing a mortality-contingent claim requires compensation for this risk in the form of a pre-specified instantaneous Sharpe ratio. We derive a relationship between the physical (biological) survival probability and the pricing (risk-adjusted) survival probability based on this ratio...

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Is the Sharpe ratio useful in asset allocation?
by Steve Christie
Macquarie Applied Finance Centre
May 2, 2005


Abstract
Investors often consider Sharpe ratios when making asset allocation decisions and comparing portfolios. Given sampling error in estimated means and variances of returns, promoting Sharpe ratios as useful to help choose between asset allocations or portfolios may be misleading. Estimators of the Sharpe ratio have less helpful distributions than estimators of mean and variance...

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Nonparametric Estimation of the Time-varying Sharpe Ratio in Dynamic Asset Pricing Models
by Peter Woehrmann, Willi Semmler, & Martin Lettau
Institute for Empirical Research in Economics
January, 2005


Abstract
Economic research of the last decade linking macroeconomic fundamentals to asset prices has revealed evidence that standard intertemporal asset pricing theory is not successful in explaining (unconditional) first moments of asset market characteristics such as the risk-free interest rate, equity premium and the Sharpe-ratio. Subsequent empirical research has pursued the question whether those characteristics of asset markets are time varying and, in particular, varying over the business cycle. Recently intertemporal asset pricing models have been employed to replicate those time varying characteristics...

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NONLINEAR TRADING MODELS THROUGH SHARPE RATIO MAXIMIZATION
by Mark Choey & Andrea S. Weigend
NYU Stern School of Business & Advanced Technology Group
1997


Abstract
While many trading strategies are based on price prediction, traders in nancial
markets are typically interested in risk-adjusted performance such as the Sharpe
Ratio, rather than price predictions themselves. This paper introduces an ap-
proach which generates a nonlinear strategy that explicitly maximizes the Sharpe
Ratio. It is expressed as a neural network model whose output is the position size
between a risky and a risk-free asset...

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Outperformance of Sharpe ratio based strategies
by Morten Mosegaard Christensen
September 16, 2005


Abstract
We show that strategies maximizing the instantaneous Sharpe ratio can be out-
performed in certain financial market models if they deviate significantly from the
growth optimal portfolio. Investors aiming for high Sharpe ratios should use an
approximation procedure to approach the desired level of risk...

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Performance Hypothesis Testing with the Sharpe Ratio
by Christoph Memmel
University of Cologne, Germany
2003


Abstract
The Jobson-Korkie-test of equal Sharpe Ratios is widely used in the performance evaluation literature. This letter has two purposes: First, it corrects a typographical error in the test statistic. Second, it shows that the test statistic can be simplified without loss of its statistical properties...

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The Pitfall of Using Sharpe Ratio
by Mei-Chen Lin & Pin-Huang Chou
National United University, Taiwan & National Central University, Taiwan
2003


Abstract
We show that when returns are iid, the Sharpe ratio calculated over a T-period holding horizon will first rise and then fall as T increases, instead of a monotonic function of T if one ignores the compounding effect in calculating long-term returns. Specifically, we show that ignoring the compounding term will yield a biased estimate of Sharpe ratio, and the bias enlarges when a long investment horizon is considered. To calculate long-horizon Sharpe ratios, we propose the use of block resampling to retain the serial dependency in the data...

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Sharpe Ratio as a Performance Measure in a Multi-Period Setting
by Jaksa Cvitanic, Ali Lazrak, & Tan Wang
January 28, 2004


Abstract
We study Sharpe ratio as a performance measure in a multi-period setting. We show that the typical mean-variance efficiency justification for using Sharpe ratio, valid in a static setting, typically fails in a multi-period setting. To focus on the contrast between static vs multi-period settings, we maintain the mean-variance utility assumption of the static model...

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When are Sharpe Ratio Based Investments Superior?
by Morten Mosegaard Christensen & Eckhard Platen
September 16, 2005


Abstract
In a continuous time setting we provide exact conditions under which all utility
maximizing investors choose to maximize the Sharpe ratio, and hence reduce the
dimension of the investment decision due to two-fund separation. Our conditions
covers cases where the investment opportunity set can be stochastic and the mutual fund can have a variety of distributions. Our results are stated for quite general specifications of investor preferences...

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Back to Scholarly Compositions

See also: Sharpe Ratio Related News, Sharpe Ratio Related Books, or Sharpe Ratio Home Page.

News Books Scholarly Definitions

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