Vertical integration,innovation, and alliance portfolio size: Implications for firm performance

We examine the consequences of alliance portfolio configuration by focusing on contingencies that affect the impact of alliance portfolio size on innovation and financial performance. While increasing alliance portfolio size is expected to positively impact innovation and financial performance, we propose that, at high levels of innovation of the focal firm, increasing alliance portfolio size dampens financial performance. We also propose that firm boundaries moderate the impact of alliance portfolio size on innovation and financial performance differently. Specifically, vertically integrated firms benefit less (more) than their vertically specialized counterparts in leveraging higher innovation (financial) performance with increasing alliance portfolio size. Our analysis suggests that both vertical scope and innovation levels of the firm play an important role in understanding how alliance portfolios impact performance. Copyright © 2013 John Wiley & Sons, Ltd.     

Urban economic base as a catalyst for movements in real estate prices

We examine the relation between housing prices in an MSA and its urban economic base. We create and employ new forward-looking employment growth indices that measure the urban economic strength of an MSA and find that it accounts for a significant and sizeable portion of the house price movements in that MSA. We argue that the forward looking measure is an indicator of future agglomeration growth for the MSAs. We further partition the urban economic growth into growth by various industries and track the attribution of their growth to housing prices over time. We find that for some MSAs, home prices are driven by the same set of industries over time, whereas for others, home prices are driven by a totally new set of industries in the later quarters, due to the birth of new industries. We also analyze the impact of the diversification of an urban economic base on home price volatility and observe that diversification decreases home price volatility. The result has larger implications for urban policymakers in selecting the appropriate type of industries relative to their existing mix of industries.     

An Investigation of Justice in supply chain relationships and their performance impact

Justice is important in improving performance of supply chain relationships. However, the role of justice in improving performance in supply chain relationships is an under-investigated subject in the literature. In studying the joint impact of justice dimensions, the traditional assumption is that the three forms of justice interact with each other in a multiplicative manner. However, this assumption creates a managerial problem as discussed in this paper. We outline a different view of how the justice dimensions interact with one another utilizing the constraining factor model (CFM). We show that the CFM resolves some of the problems arising from the choice of multiplicative interaction of justice measures on performance. Specifically, we demonstrate that an increase in procedural, distributive or interactional justice results in a significant and positive improvement in performance only if the specific justice dimension is the constraining factor in the relationship. Overall, our analysis suggests that all three dimensions are important and a high level of one of the justice elements will not compensate for a low level of another, a view that is put forward by a number of past research studies in justice. We discuss the theoretical and managerial implications of our findings.     

Trade Size Preference of Informed Traders in Indian Equity Markets

This study utilized high frequency transactions data to analyze the trade size preference of informed traders in Indian equity markets. It is observed that informed traders at an aggregate level adopt stealth trading strategy, wherein they prefer medium sized trades over large sized trades in order to camouflage their private information. However, the stealth trading behavior varies across stocks, wherein informed traders prefer more large sized trades on firms that are part of an index compared to non-index firms. Trading behavior also varies across other market conditions. It has been noted that informed traders prefer large sized trades during periods of high market thickness, negative returns, and low volatility. This study also provides a rationale for such varied behavior of informed traders.     

VOLUNTARY AUDITS IN NEW YORK MARKETS IN 1927: A CASE STUDY

This study examines the demand for audits in the pre-SEC period in the United States. We focus on three hypotheses - monitoring, information, and capital formation - to test the economic incentives prior researchers have posited led to demand for audits. We compare a sample of companies traded in three non-NYSE markets (unregulated) to a sample of NYSE listed companies (regulated). We found that the need to raise capital did increase use of audits, but that neither the monitoring nor information hypotheses explain this early demand. Common stock ratings appeared to be a cost-effective alternative to audits and we found little evidence that audits improved the quality of financial reports.     

Life Insurer Cost of Equity with Asymmetric Risk Factors

This study presents an improved model for estimating life insurer cost of capital with the inclusion of upside and downside risk factors and controlling for life insurer characteristics. Although various asymmetric measures of market risk have been shown to be priced factors for the broader equity market, life insurer realized equity returns include a much larger premium for bearing downside risk, even after controlling for firm characteristics and other measures of risk. Cross‐sectional regression analysis finds a positive (negative) premium for downside (upside) betas, conditional on down and up markets, respectively. Coskewness and cokurtosis are also priced factors.     

Production under uncertainty: a simulation study

In this paper we model production technology in a state-contingent framework. Our model analyzes production under uncertainty without being explicit about the nature of producer risk preferences. In our model producers’ risk preferences are captured by the risk-neutral probabilities they assign to the different states of nature. Using a state-general state-contingent specification of technology we show that rational producers who encounter the same stochastic technology can make significantly different production choices. Further, we develop an econometric methodology to estimate the risk-neutral probabilities and the parameters of stochastic technology when there are two states of nature and only one of which is observed. Finally, we simulate data based on our state-general state-contingent specification of technology. Biased estimates of the technology parameters are obtained when we apply conventional ordinary least squares estimator on the simulated data.