Intra‐firm differentiation of compensation systems: evidence from US high‐technology firms

While scholars have long recognised the influence of firm decisions on aspects of compensation (e.g. pay level and pay mix), prior compensation studies offer an ambiguous understanding regarding their scope. Some studies argue that firms customise compensation decisions according to employee groups, whereas others assume that firm compensation decisions apply uniformly throughout a firm. To address this research gap, the current study analyses pay levels and pay mixes for R&D employees and administrative employees in US high‐technology firms. Our empirical analyses show that firms make distinct compensation decisions for these two job families, but these decisions are ultimately consistent. These findings highlight firms' intention to strike a balance between customising compensation systems according to employee groups and maintaining internal consistency. Our findings add interesting insights to the strategic HRM and talent management literatures, which claim that firms should differentiate among employees when designing HRM systems.     

On the Exportability of Korean Movies

The authors investigate factors that may affect the exportability of Korean films released from 1996 to 2002. They employ a binary probit model to test the exportability. The findings indicate that the number of screens, action genre, and year dummies of 2000 and 2001 are important determinants of exportability in the overall model. The authors tried to capture the dynamic aspect of exportability by holding outside factors constant. Over the previous years (1996–99), they found that factors that reduce the asymmetric information problem are important predictors of exportability. On the other hand, the star power and number of screens exhibited in the domestic market are strong predictors of exportability during the recent period. This result confirms that the recent expansion and success of the Korean movie industry (such as the effect of Hallyu ) serves as an effective signal to the international film market. Their analysis of cultural discount is inconclusive.     

Comment on “A new simple square root option pricing model”

Câmara A. and Wang Y.‐H. ( 2010 ) introduce a simple square root option pricing model where the square root of the stock price is governed by a normal distribution. They show that their three‐parameter option pricing model can outperform the Black–Scholes option pricing model. We demonstrate that their assumption possesses an internal inconsistency in that the square root of the stock price can take on negative values. We generalize and revise their assumption so that the internal inconsistency can be avoided, and introduce a new square root option pricing model. The difference in option prices calculated from the two models may not be trivial. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark     

Determinants of Underwriter Participation in Initial Public Offerings of Common Stock: An Empirical Study

This paper examines an optimal underwriter participation model and develops testable hypotheses regarding the influence of certain factors on the degree of underwriter participation in initial public offerings (IPOs) of common stock. The issue of underwriter participation is important primarily due to the tradeoff between foregone underwriter compensation and underwriting risk reduction. The results of this paper indicate that factors related to the issue, issuing firm, underwriter, and IPO market conditions all are important determinants of the participation decision. Interestingly, the results also show that the importance of these factors is not consistent across underwriter prestige groups. In particular, factors external to underwriters (e.g., the issuing firm and market characteristics) are more important for explaining nonprestigious underwriter participation, while factors related to underwriters themselves play a more important role for explaining prestigious underwriter participation.     

Maximum Eigenvalue Test for Seasonal Cointegrating Ranks*

The maximum eigenvalue (ME) test for seasonal cointegrating ranks is presented using the approach of Cubadda [Oxford Bulletin of Economics and Statistics (2001), Vol. 63, pp. 497–511], which is computationally more efficient than that of Johansen and Schaumburg [Journal of Econometrics (1999), Vol. 88, pp. 301–339]. The asymptotic distributions of the ME test statistics are obtained for several cases that depend on the nature of deterministic terms. Monte Carlo experiments are conducted to evaluate the relative performances of the proposed ME test and the trace test, and we illustrate these tests using a monthly time series.     

Hedonic analysis of a housing market in disequilibrium

This paper tests the hypothesis that information about housing market activity and about specific dwellings becomes capitalized into single family dwelling prices through a disequilibrium adjustment process. A dynamic price adjustment model, which is an extension of the standard hedonic model widely used in the literature, is derived, specified, and tested with both micro and aggregated data from the city of Chicago and for the period 1972–1976. The results show that from 32 to 75% of the variance in dwelling prices, unexplained by the standard hedonic attributes under assumptions of equilibrium, is explained by market activity signals such as mortgage interest rates and neighborhood transaction rates of the preceding period. Dwellings about which there is less information, making comparison pricing difficult, are shown to command a price premium. The standard equilibrium hypothesis appears readily rejectable and better predictions are obtained from the disequilibrium specifications. Several directions for extending this line of research are discussed.     

The Valuation of Stock Purchase Rights as Call Options

The predictability of rights valuation models is tested, viewing the rights as call options. The results show that rights valuation models, on average, overprice the rights. The bias in the model prices of rights found in this paper is opposite to that predicted by Merton. Among several factors considered, possible volatility changes associated with raising capital through a rights offering account for some of the observed pricing deviation. A further regression analysis shows that while the pricing deviation is positively related to both the degree that the rights are in the money and the allocation ratio, it is negatively related to the time to expiration and the daily trading volume of the rights.     

Weak identification robust tests in an instrumental quantile model

We develop a testing procedure that is robust to identification quality in an instrumental quantile model. In order to reduce the computational burden, a multi-step approach is taken, and a two-step Anderson–Rubin (AR) statistic is considered. We then propose an orthogonal decomposition of the AR statistic, where the null distribution of each component does not depend on the assumption of a full rank of the Jacobian. Power experiments are conducted, and inferences on returns to schooling using the Angrist and Krueger data are considered as an empirical example.     

A Stochastic Receding Horizon Control Approach to Constrained Index Tracking

This paper develops stochastic receding horizon control for a constrained index tracking problem. By modeling the asset dynamics in the problems as a linear system subject to state and control multiplicative noise, and approximating linear chance constraints with quadratic expectation constraints, we show that index tracking can be approached using stochastic receding horizon control. In particular, we use a closed loop version of stochastic receding horizon control where the on-line optimization is solved as a semi-definite program. Numerical examples demonstrate the computations involved in these problems and indicate that stochastic receding horizon control is a promising new approach to constrained index tracking. C. H. Sung completed this work while he was a graduate student in the Management Science and Engineering Department, Stanford University.