Day-of-the-Week Effects in the Long-Run Performance of Initial Public Offerings

This study examines the influence of day-of-the-week patterns in security returns on long-run IPO underperformance. Comparisons are made between the IPOs in Ritter's [20] database, and a constructed set of matching firms based on SIC code and size, using NYSE, AMEX, and NASDAQ securities. It is found that virtually all of the IPO underperformance occurs on Mondays and Tuesdays and that the degree of underperformance significantly differs from other days. Thus, a common explanation may exist for the general day-of-the-week pattern in security returns and IPO long-run underperformance.     

The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging

In this article we compare three models of the stochastic behavior of commodity prices that take into account mean reversion, in terms of their ability to price existing futures contracts, and their implication with respect to the valuation of other financial and real assets. The first model is a simple one-factor model in which the logarithm of the spot price of the commodity is assumed to follow a mean reverting process. The second model takes into account a second stochastic factor, the convenience yield of the commodity, which is assumed to follow a mean reverting process. Finally, the third model also includes stochastic interest rates. The Kalman filter methodology is used to estimate the parameters of the three models for two commercial commodities, copper and oil, and one precious metal, gold. The analysis reveals strong mean reversion in the commercial commodity prices. Using the estimated parameters, we analyze the implications of the models for the term structure of futures prices and volatilities beyond the observed contracts, and for hedging contracts for future delivery. Finally, we analyze the implications of the models for capital budgeting decisions.     

Testing for a Structural Change in U.S. Wage Determination

Previous tests for structural changes (slope changes) and shifts (intercept changes) in the Phillips curve and union wage determination specify the date of structural change a priori. This article tests for structural changes and shifts without specifying the change point ex ante . The results support the belief that structural changes occurred in the early 1980s. Contrary to some previous research, however, the results do not support a structural shift in the Phillips curve.     

Separability in farm-household economics: an experiment with linear programming

The assumption of separability between farm-household production and consumption facilitates analysis, but entails several important restrictions. The implications of assuming separability are discussed here in relation to the modelling of a representative Tongan farm-household. Econometric estimation of household demand is coupled with a linear programming (LP) model of farm-household production. When analysing consumer demand, separable farm-household economics is undoubtedly preferable to ignoring the production/consumption linkages entirely. However, the restrictions which must be imposed on the production side of the separable model are such that a realistic LP solution is unlikely to be obtained. This is likely to be a major deterrent to adopting the separable approach for studies in which the main focus is on production rather than consumption.     

A RE-EXAMINATION OF THE RELATIONSHIP BETWEEN CLOSED-END FUND DISCOUNTS AND EXPENSES

In this paper the role of expenses in explaining closed-end fund discounts is re-examined. A present value model is developed to illustrate the relationship between expenses and discounts. Earlier studies find that discounts are not related to management fees. In this paper, using a larger sample over a longer and different period and a better specification of the expense variable consistent with the model developed, discounts are found to be significantly related to expenses. The relationship between expenses and discounts holds in the presence of other control variables.