Investor Protection,Investment Efficiency and Value: The Case of Cross‐Listed Firms

We examine the impact of improved investor protection due to cross‐listing on foreign firms’ investment decisions and firm value. While we find that cross‐listing increases firms’ capital expenditures and mergers and acquisitions activities, cross‐listed firms also invest more in research and development, make better acquisition decisions, and have higher profitability compared to non‐cross‐listed firms. Moreover, cross‐listing is associated with better cash utilization by foreign firms for investments. These improvements in investments and cash utilization are more pronounced for firms cross‐listed on US exchanges and for firms from countries with weak investor protection laws.     

Pecking order as a dynamic leverage theory

Static tradeoff theories, which do not explicitly treat the impact of transaction costs, do not explain the policy of asymmetry between frequent small debt transactions and infrequent large equity transactions. Nor do these theories explain why the debt ratio is allowed to wander a considerable distance from its alleged static optimum, or how much of a distance should be tolerated. We offer a class of diffusion models that mimic this behaviour in a stochastic-dynamic framework and are designed to optimize a financing strategy using any static tradeoff theory as input. The models developed reveal the determinants of the size and frequency of equity transactions and the range of values over which leverage variations are tolerated in four generic scenarios. They also yield a new formulation of the cost of capital that recognizes stochastic transaction costs and a penalty for deviation from any static-optimal leverage. Our class of models augments the pecking order theory, provides a flexible quantitative framework for its implementation as a decision tool, and facilitates the formulation of additional hypotheses for its empirical validation. Symmetrically, our results show the importance of dynamic factors in designing and interpreting empirical tests of static tradeoff theories. The results presented have important implications for the role played by static tradeoff theories in a stochastic-dynamic framework. One such implication is that the static-optimal leverage has no direct effect on the firm's leverage policy in this setting. The target leverage for refinancing transactions is different from the static-optimal leverage, and the mean leverage is generally different from both. As a consequence, the latter cannot be used to estimate the former. Another implication is that even when the mean leverage equals the static optimum, mean reversion is not an optimal behaviour and therefore not a legitimate test for the existence of a static tradeoff in a dynamic context. Still another implication is that wide variations in leverage ratios cannot be interpreted as evidence of leverage indifference. It follows that the pecking order theory is consistent with static tradeoff theories and does not require the assumption of leverage indifference.     

Platform Sharing in a Differentiated Duopoly

Platform sharing across manufacturers has become common practice in the automobile industry. Although platform sharing reduces the degree of product differentiation, manufacturers can reduce their procurement costs by taking advantage of the commonality of components. We investigate this trade-off through analyzing a model that incorporates manufacturer–supplier relationships into a differentiated duopoly model, and find an interesting inverse relationship between the advantage of platform sharing and manufacturers' costs to communicate with their potential suppliers. We also explore welfare consequences of the Internet trading exchanges by considering an extension that allows the manufacturers to jointly establish a business-to-business electronic marketplace.     

Oil price shocks on Indian economy: evidence from Toda Yamamoto and Markov regime-switching VAR

The study investigates the dynamic impact of linear and non-linear specifications of oil price shocks on macroeconomic fundamentals for an oil-importing emerging economy – India – during the period March 1991 to January 2009. The paper deploys extended vector autoregressive (VAR) model of possibly integrated processes proposed by Toda and Yamamoto, which has its advantage of application irrespective of the variables being stationary or cointegrated. The study further estimates two-state Markov regime-switch VAR model to examine regime shift behaviour of the underlying variables and its relationship. The study finds that inflation and foreign exchange reserve are greatly impacted by oil price shocks. The study also confirms that the movement in oil price is exogenous with respect to the movement of India’s macroeconomic variables and the impact of oil price shocks are asymmetric in nature with negative price shocks having more pronounced effect than positive shocks.     

Junk bonds,life insurer insolvency,and stock market reactions: The case of first executive corporation

The First Executive Corporation was the largest failure in the history of the life insurance industry. The company was one of the most aggressive purchasers of junk bonds through the 1980s and was the first of several large failures in the staid life insurance industry. In this article, we examine the effect of First Executive's failure on the value of companies in the life insurance industry. We find that the price of other life insurance companies' stock is negatively affected by the earnings announcement that preceded First Executive's failure. The magnitude of an individual company's reaction to First Executive's loss varies according to the proportion of the company's assets invested in junk bonds, the proportion of the company's assests invested in real estate, and the financial strength of the company as measured by A.M. Best's rating.     

Does IPO Pricing Reflect Public Information? New Insights from Equity Carve‐Outs

We examine the efficiency of initial public offering (IPO) pricing using a sample of over 300 equity carve‐outs from 1985 to 2009. The partial adjustment theory posits that the initial return of IPOs is predictable based on private information, but public information is fully incorporated. Prospect theory is consistent with both private and public information not being fully incorporated in the offer price. Our analysis confirms that both price update and initial return of carve‐out IPOs can be predicted based on the parent firm's returns during the prepricing and preissuing periods. Further, postissue ownership of the parent firm is associated with significantly higher price update and initial return, while IPOs where the majority of the proceeds are paid out register lower initial return. The size of the subsidiary and relative size of the offering are also significantly related to price update and initial return. These findings are consistent with prospect theory.     

Analyzing Real Estate Data Problems Using the Gibbs Sampler

Real estate data are often characterized by data irregularities: missing data, censoring or truncation, measurement error, etc. Practitioners often discard missing- or censored-data cases and ignore measurement error. We argue here that an attractive remedy for these irregularity problems is simulation-based model fitting using the Gibbs sampler. The style of the paper is primarily pedagogic, employing a simple illustration to convey the essential ideas, unobscured by implementation complications. Focusing on the missing-data problem, we show dramatic improvement in inference by retaining rather than deleting cases of partially observed data. We also detail Gibbs-sampler usage for other data problems.     

Financial leverage changes associated with corporate mergers

We empirically examine whether firms increase financial leverage following mergers. Firms could increase financial leverage either because of an increase in debt capacity or because of unused debt capacity from pre-merger years. We find that financial leverage of combined firms increases significantly following mergers. A cross-sectional analysis shows that the change in financial leverage around mergers is significantly positively correlated with the announcement period market-adjusted returns. Further tests indicate that the increase in financial leverage is an outcome of an increase in debt capacity, although there is weak evidence that some of the increase in financial leverage is a result of past unused debt capacity.