Stability of international stock market relationships across month of the year and different holding intervals

Potential benefits from international diversification depend upon the stability in stock market relationships. Using monthly data of 11 international stock markets, this paper examines the stability in stock market relationships across month of the year and across different holding intervals. Empirical results show that the correlation structure is more stable than the covariance structure. While empirical evidence supports the hypothesis that the correlation structure is very stable across different holding intervals, the empirical support for the stability in correlation structure across month of the year is much weaker.     

Public–Private Sector Wage Gap in Australia: Variation along the Distribution

Previous research on public–private wage differentials in Australia has focused on the mean of the conditional wage distribution. Using six waves of the Household, Income and Labour Dynamics in Australia survey, this study employs quantile regressions to examine whether the sectoral wage effect varies along the wage distribution. For females, public sector wage premiums are relatively stable for almost the entire distribution. For males, they decrease monotonically and are negative for the top half of the distribution. The decomposition results show that the observed differences in individuals and job characteristics explain a substantial proportion of the sectoral wage gap.     

Calibration of implied volatility for the exchange rate for the Chinese Yuan from its derivatives

Revised implied volatility curves and surfaces for the Chinese Yuan (CNY) exchange rate are obtained from market quotations for CNY non-deliverable options by solving an inverse problem of foreign exchange option pricing, which is calculated using a regularization approach in an optimal control framework. To take account of the market expectation for the CNY exchange rate, a stochastic adjusted factor is applied that follows a Vasicek model with parameters fitted from market quotations for CNY non-deliverable forwards. A well-posed numerical scheme is implemented.     

Investor Attention and Earnings Management around the World

This study examines the determinants of earnings management in an international setting using the limited investor attention model of Hirshleifer and Teoh ( 2003 ). The model predicts that investor attention reduces earnings management. I use analyst following, institutional ownership, and Big N auditor choice to proxy for investor attention. I have four key findings. First, I document that financial analysts curb earnings management in U.S. firms but not in non‐U.S. firms. Second, I document that institutional block‐holdings curb earnings management across the world. Third, Big N auditors reduce earnings management in U.S. firms but not in non‐U.S. firms. Fourth, I document that corporate governance mechanisms reduce earnings management in U.S. firms but not in non‐U.S. firms.     

Household Finance

The study of household finance is challenging because household behavior is difficult to measure, and households face constraints not captured by textbook models. Evidence on participation, diversification, and mortgage refinancing suggests that many households invest effectively, but a minority make significant mistakes. This minority appears to be poorer and less well educated than the majority of more successful investors. There is some evidence that households understand their own limitations and avoid financial strategies for which they feel unqualified. Some financial products involve a cross‐subsidy from naive to sophisticated households, and this can inhibit welfare‐improving financial innovation.     

Why Option Prices Lag Stock Prices: A Trading-based Explanation

While many studies find that option prices lead stock prices, Stephan and Whaley (1990) find that stocks lead options. We find no evidence that options, even deep out-of-the-money options, lead stocks. After confirming Stephan and Whaley's results, we show their results can be explained as spurious leads induced by infrequent trading of options. We show that the stock lead disappears when the average of the bid and ask prices is used instead of transaction prices. Hence, we find no evidence of arbitrage opportunities associated with the stock lead.     

Corruption,growth, and growth volatility

While the existing studies focus on the corruption–growth relationship, this paper introduces a new focus involving corruption and growth volatility. The Ehrlich–Lui (1999) framework provides the theoretical background of the paper, which produces testable hypotheses regarding the corruption–growth and the corruption–growth volatility relationship. The cross-section dataset that is used in the empirical analysis contains 121 developed and developing countries. In terms of the relationship between the governance-related variables and growth rates, only corruption control and government effectiveness significantly and adversely affect the average growth rate. Regarding the relationship between growth volatility and governance-related variables, the results suggest that higher corruption control, expropriation risk control, government effectiveness, and government consumption decrease growth volatility.     

Optimal designs for generalized linear models with biased response

This paper is concerned with the search for locally optimal designs when the observations of the response variable arise from a weighted distribution in the exponential family. Locally optimal designs are derived for regression models in which the response follows a weighted version of Normal, Gamma, Inverse Gaussian, Poisson or Binomial distributions. Some conditions are given under which the optimal designs for the weighted and original (non-weighted) distributions are the same. An efficiency study is performed to find out the behavior of the D-optimal designs for the original distribution when they are used to estimate models with weighted distributions.     

Explaining International Differences in Genetically Modified Food Labeling Policies*

Many countries have adopted labeling policies for genetically modified (GM) food, and the regulations vary considerably across countries. We evaluate the importance of political‐economic factors implicit in the choice of GM food labeling regulations. Using an analytical model, we show that production and trade‐related interests play a prominent role in labeling decision‐making. This conclusion is validated by an empirical analysis of GM food labeling policy choices. We find that countries producing GM crops are more likely to have less stringent labeling policies. Food and feed exporters to the European Union (EU) and Japan are more likely to have adopted stricter labeling policies. Labeling regulations in Asia and Europe are similar to those of Japan and the EU. Countries with no labeling policies are less developed, with important rural sectors and are more likely to have ratified the Cartagena Protocol on Biosafety.