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Dive into the research topics where William H. Jean is active.

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Featured researches published by William H. Jean.


Journal of Financial and Quantitative Analysis | 1983

Geometric Mean Approximations

William H. Jean; Billy P. Helms

In 1959, Henry LatanAi [2] proposed an approximation to the geometric mean that was a simple function of the arithmetic mean and variance, thereby indicating a mathematical relationship between the risky investment choice model of Bernoulli and the Markowitz mean-variance model. In 1969, Young and Trent [4] presented empirical test results of the LatanA© approximation, as well as a set of other approximations to the geometric mean based on moments, and concluded that the Latane formula yielded a quite accurate approximation to the geometric mean. In Jeans 1980 paper [1] relating the geometric mean model to stochastic dominance models, the infinite series representation of the geometric mean used suggests a more accurate approximation with moments of the geometric mean than that contained in the earlier papers may be possible. Various forms of that series expressed in alternate-origin moments are tested empirically below, and the results confirm that this later series does yield the greatest accuracy of the three approaches.


The Engineering Economist | 1989

Interest Rate-Independent Present Value Rankings

William H. Jean

ABSTRACT In this paper classical mathematical techniques are first used to derive conditions where any interest rate will result in present value rankings between two investment projects, and then a new technique, time dominance, is applied to the ranking situation. In many cases the new procedure only results In the same ranking as with the classical mathematical methods, but sufficient new cases are derived to make the new technique a useful addition to the analysts tool set.


Journal of Banking and Finance | 1988

The identification of stochastic dominance efficient sets by moment combination orderings

William H. Jean; Billy P. Helms

Abstract A new procedure using algebraic combinations of central moments is derived to identify stochastic dominance efficient sets of security portfolios. The number of computations involved with the moment combinations are significantly smaller than those with regular stochastic dominance tests. The effectiveness of the moment combination procedure is demonstrated with a large-scale empirical study.


Journal of Finance | 1980

The Geometric Mean and Stochastic Dominance

William H. Jean


Journal of Finance | 1968

On Multiple Rates Of Return

William H. Jean


Journal of Finance | 1984

The Harmonic Mean and Other Necessary Conditions for Stochastic Dominance

William H. Jean


Journal of Finance | 1971

The Analytical Theory of Finance.

Robert H. Litzenberger; William H. Jean


Journal of Finance | 1976

The Strategy of Cash.

William H. Jean; S. D. Slater


Journal of Business Finance & Accounting | 1988

Moment Orderings and Stochastic Dominance Tests

William H. Jean; Billy P. Helms


Journal of Finance | 1969

On Multiple Rates of Return: Reply

William H. Jean

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