Dividend Imputation and Shareholder Wealth: The Case of New Zealand

On April 1, 1988, New Zealand stopped the double taxation of dividends by implementing a full dividend imputation program. Because many believed that the tax advantage of debt had led to more highly leveraged firms subject to greater financial risk than was socially optimal, it was hoped the removal of incentives to finance with debt would result in a more efficient allocation of capital. The empirical results suggest that the shareholder wealth gain from dividend imputation was more than offset in firms with large debt levels. Moreover, an examination of debt ratios indicates debt levels declined in the post–imputation period.     

Wavelet Analysis of the Bombay Stock Exchange Index

The fluctuations in the rate of returns of the Bombay stock exchange are analyzed through wavelet transform. The fluctuations, in various time scales, naturally separated by the wavelets, are subjected to statistical analysis. The localization and multiresolution properties of the wavelets enable one to identify collective behaviour in the stock market and the extent of their influence at various time scales. The Gaussian nature of the rate of returns at certain scales and the periodic nature of the same, at other scales, are clearly brought out by this analysis. The utility of this approach for modeling purpose is also elucidated.

     

THE RELATIONSHIP BETWEEN THE BLACK MARKET AND OFFICIAL EXCHANGE RATES: AN EXAMINATION OF LONG-RUN DYNAMICS IN INDIA

This study is the first to use Johansen's cointegration approach for India in the analysis of the long‐term dynamics between the black and official exchange rates for the period 1953–1993. The study also estimates the long‐run elasticity of the official rate with respect to the black market rate. As monthly data over 40 years are used, and a more robust methodology is employed, the results are likely to be more reliable as compared with the earlier work on India. The results of our study suggest that while there is a long‐term relationship between the two rates, the direction of causality is from the black rate to the official exchange rate. This is plausible in the Indian context where policy has generally lagged behind events in the black market. The hypothesis of a constant black market premium is rejected, implying that there is a mismatch between the percentage change in the official exchange rate and the percentage change in the black market rate.     

An Investigation of the Informational Role of Short Interest in the Nasdaq Market

This paper examines the relationship between the level of short interest and stock returns in the Nasdaq market from June 1988 through December 1994. We find that heavily shorted firms experience significant negative abnormal returns ranging from −0.76 to −1.13 percent per month after controlling for the market, size, book–to–market, and momentum factors. These negative returns increase with the level of short interest, indicating that a higher level of short interest is a stronger bearish signal. We find that heavily shorted firms are more likely to be delisted compared to their size, book–to–market, and momentum matched control firms.     

Short term real earnings management prior to stock repurchases

This study examines whether firms engage in income-decreasing real earnings management before open market stock repurchases to reduce the cost of stock buybacks. In the short run, managers have the ability to underproduce inventory and increase discretionary expenditures, thus decreasing current period earnings. We find that managers engage in both of these activities before repurchasing their firms’ shares, especially the latter. Also, companies increase their discretionary spending before making repurchases to a greater extent following the passage of the Sarbanes–Oxley Act of 2002 as well as when they are financially healthy and have high marginal tax rates. Finally, we document that firms with the most income-decreasing real earnings management experience the largest positive abnormal returns during the subsequent period. Our findings highlight the importance of considering firms’ use of real operating decisions, as opposed to just opportunistic disclosure practices, around significant corporate events, such as the repurchase of their own stock.     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

Contingent Valuation and Actual Behavior: Predicting Connections to New Water Systems in the State of Kerala, India

In 1988, families in Kerala State in India were surveyed toascertain their willingness to pay for household connectionsto a piped water supply system. In 1991 the families in thesecommunities were surveyed again and their actual decisions recorded.This article explores the validity of the findings of the 1988study on the basis of actual behavior. It looks at the questionof benefit revelation: did people behave as they said they would?And it looks at the question of benefit transfer: did peoplein one site behave as they were predicted to behave, on thebasis of the predictions of a behavioral model for a differentsite? The data were also used to analyze the policy relevanceof behavioral modeling.     

Subsidization of S&Ls under the flat-rate deposit insurance system: Some empirical estimates

This study provides some estimates of the magnitude of the subsidies extracted by S&L holding companies under the present flat-rate deposit insurance system. The results suggest that the flat-rate deposit insurance system induces substantially uneven and inequitable distribution of subsidies among thrift institutions. The analysis of the thrift institutions' asset volatilities over the 1966–1988 period does not support the claim that deregulation of the industry has led to a systematic increase in risk-taking in the industry. On the other hand, we find that a large fraction of the asset volatilities are attributable to firm-specific investment policies and that the risk of the institutions' assets change considerably over time. Taken as a whole, the results suggest that switching to a risk-based deposit insurance system would be economically more efficient than the present scheme. We provide some recommendations for policy changes that can increase the efficacy of risk-based insurance by increasing the level of monitoring by depositors and the financial markets.     

Adverse selection as an explanation of credit rationing and different lender types

An adverse selection model is utilized to demonstrate that informational asymmetry may make it wealth optimal for the financial intermediary (FI) to credit ration and to rationalize the existence of different lenders in the credit market. The crucial assumption is that borrowers differ in their tolerance for a lender-imposed default penalty, the severity of which also varies with the lender. The credit rationing portion proves that the FI will: 1) be forced by a binding regulatory constraint to overinvest in capital; 2) ration its worst risk class borrowers; 3) establish its optimal loan interest rate on the basis of the average quality of its loans and the interest rate elasticity of the borrower demand in its best risk category; and 4) decrease the total loan volume and increase the loan interest rate due to an increase in the capital requirement, but the effect on the default risk quality of its loan portfolio is ambiguous. The existence result is that if a lender has a high default penalty, he can charge a lower rate and attract only “good” borrowers, i.e., heterogeneous lender types encourage the screening of borrowers and vice versa.