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Dive into the research topics where Nelson J. Lacey is active.

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Featured researches published by Nelson J. Lacey.


Applied Economics | 1990

An estimation of market efficiency in the NFL point spread betting market

Nelson J. Lacey

In an efficient NFL beting market, point spreads incorporate all relevant information contained in past game outcomes. Efficiency implies that trading rules based on past game outcomes should not be able to produce a consistent pattern of winners over losers. This study identifies 15 trading rules based on historical game outcomes and, using simulated gambling, tests them over the 1984–1986 NFL seasons. The studys main finding indicates that the NFL betting market is efficient, but does identify a small set of profitable trading rules over this time period.


The Journal of Fixed Income | 1993

Convexity, Risk, and Returns

Nelson J. Lacey; Sanjay K. Nawalkha

This paper tests empirically whether convexity is return enhancing (the traditional view based upon parallel term structure shifts), or return diminishing (the equilibrium view suggesting convexity is priced). Results of empirical tests over different time periods show bond convexity to be either insignificantly or negatively related to ex-ante bond returns. These results are consistent with the critique of the traditional duration model by Ingersoll, Skelton, and Weil [1978] and suggest that bond convexity may be priced. Further, the magnitude of bond convexity is shown to be related directly to the immunization risk inherent in a bond portfolio, consistent with the implications of Fong and Vasiceks [1983, 1984] M-Square model.


Journal of Sports Economics | 2012

The “Second” Season The Effects of Playoff Tournaments on Competitive Balance Outcomes in the NHL and NBA

Neil Longley; Nelson J. Lacey

Most research on competitive balance (CB) in North American sport leagues examines regular-season outcomes only, and does not analyze the potential impacts of postseason playoff tournaments. This article finds that playoffs do matter in a CB sense, in that they can substantially reconfigure regular-season outcomes. More importantly, they may reconfigure outcomes in a way that is not neutral with respect to payroll. The article finds, for example, that in the NHL over the 1994-2004 time period, team success in the playoffs was much less dependent on payroll than it was during the regular-season. The article also analyzes the differential impacts of the specific type of playoff tournament employed, and finds that the choice of playoff “pooling” structures directly impacts the probability of “upsets” occurring in the playoffs.


Financial Analysts Journal | 1990

Closed-Form Solutions of Convexity and M-Square

Sanjay K. Nawalkha; Nelson J. Lacey; Thomas Schneeweis

Closed-form formulas for Macaulay duration, as given by Babcock and Chua, provide the user with a less cumbersome and more efficient procedure for calculating duration. Recent developments, however, have suggested alternative measures of bond portfolio immunization designed to overcome the severe restrictions that Macaulay duration places on permitted interest rate behavior. This note presents closed-form formulas for two such alternative measures - convexity and M-square and demonstrates how these measures can be used in an immunization strategy.


Journal of Banking and Finance | 1990

Generalized solutions of higher-order duration measures

Sanjay K. Nawalkha; Nelson J. Lacey

Abstract Higher-order duration measures have been shown to permit near perfect immunization. This paper presents formulae for these measures which are valid not only at coupon payment dates but between these dates as well We show that errors caused by using formulae valid only at the coupon payment dates increase as one advances from lower-order to higher-order duration measures. A portfolio immunization example comparing both traditional and generalized closed-form solutions is given.


Financial Analysts Journal | 1988

Closed-Form Solutions of Higher Order Duration Measures

Sanjay K. Nawalkha; Nelson J. Lacey

This paper derives formulas for higher order duration measures, including D(1) (i.e. Macaulay duration), D(2) (i.e., slope duration), D(3) (curvature duration), etc. We develop a general iterative method to obtain formulas for any higher order measure D(m), for an arbitrary positive integer value for m. The higher order duration measures can be used to hedge against virtually any type of interest rate shift. Our algorithm can be easily adapted for spreadsheet applications.


International Review of Economics & Finance | 1992

Immunizing bond portfolios in a multiple term structure economy

Sanjay K. Nawalkha; Nelson J. Lacey

Abstract This paper develops a new immunization model in a multiple term structure economy. Multiple term structures would exist, for example, in international bond portfolios whose constituent securities differ with respect to default probabilities and/or liquidity. With multiple term structures, we show that the immunized planning horizon is not at the point of portfolio duration, but at a new point defined through future value duration.


Managerial Finance | 2016

Reexamining fund manager skill from a new angle

Qiang Bu; Nelson J. Lacey

– The purpose of this paper is to examine managerial skill of US equity mutual funds in the context of both abnormal return and risk. , – The authors evaluate manager skill based on the outperforming probability and cumulative distribution function of the actual funds and the bootstrapped funds. And the authors recognize the role of fund life cycle and use different evaluation horizons to control for fund age and the overall state of the market. , – The authors find that a small percentage of equity funds can beat the market, and the percentage is overall higher than what the control group would predict. The authors find no evidence of persistence. The authors also document that the chance of underperformance is much higher than what the authors had expect from the control group. Taking the risk-return tradeoff into account, any performance advantage of actual funds over bootstrapped funds is correlated with tail risk, and a robustness check confirms this finding. , – The authors find that the outperforming probability itself is not enough to confirm the existence of manager skill. The complete story of mutual fund alpha, should it exist, would not be complete without incorporating both risk and luck.


Archive | 2014

Mutual Fund Outperformance: Is It Skill, Risk, or Luck?

Qiang Bu; Nelson J. Lacey

This paper examines managerial skill of U.S. equity mutual funds in the context of both abnormal return and risk. We recognize the role of fund life cycle and use different evaluation horizons to control for fund age and the overall state of the market. We find that a small percentage of equity funds can beat the market, and the percentage is overall higher than what the control group would predict. We find no evidence of persistence. We also document that the chance of underperformance is much higher than what we’d expect from our control group. Taking the risk return tradeoff into account, any performance advantage of actual funds over bootstrapped funds is correlated with tail risk, and a robustness check confirms this finding. Thus, the complete story of mutual fund alpha, should it exist, would not be complete without incorporating both risk and luck.


The Journal of Alternative Investments | 2010

On Understanding Bear Market Funds

Nelson J. Lacey; Qiang Bu

Despite poor performance, bear market funds have been growing rapidly in recent years. The authors find that while bear funds exhibit timing ability, this surprisingly does not translate into enhanced return performance. They also find that bear funds tend to be risk-seeking at a time when market volatility is high. The results are consistent with viewing these funds not in the more traditional context of return maximization, but instead in the context of risk management. In other words, bear market funds decrease return volatility of the fund family at the cost of a slightly lower fund-family return.

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Qiang Bu

Pennsylvania State University

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Sanjay K. Nawalkha

University of Massachusetts Amherst

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Neil Longley

University of Massachusetts Amherst

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Donald R. Chambers

Rochester Institute of Technology

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Jun Zhang

University of Massachusetts Amherst

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Thomas Schneeweis

University of Massachusetts Amherst

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Nikolaos T. Milonas

National and Kapodistrian University of Athens

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