Ownership Structure,Business Group Affiliation,Listing Status,and Earnings Management: Evidence from Korea*

Using a large sample of both publicly traded and privately held firms in South Korea (hereafter “Korea”), we investigate whether, and how, the deviation of controlling shareholders' control from ownership, business group affiliation, and listing status differentially affect the extent of earnings management. Our study yields three major findings. First, we find that as the control‐ownership disparity becomes larger, controlling shareholders tend to engage more in opportunistic earnings management to hide their behavior and avoid adverse consequences such as disciplinary action. The result of our full‐model regression reveals that an increase in the control‐ownership wedge by 1 percent leads to an increase in the magnitude of (unsigned) discretionary accruals by 1.3 percent of lagged total assets, ceteris paribus. Second, we find that for our full‐model regression, the magnitude of (unsigned) discretionary accruals is greater for group‐affiliated firms than for nonaffiliated firms by 0.8 percent of lagged total assets. This result suggests that business group affiliation provides controlling shareholders with more incentives and opportunities for earnings management. Finally, we find that for our full‐model regression, the magnitude of (unsigned) discretionary accruals is greater for publicly traded firms than for privately held firms by 1.2 percent of lagged total assets. This result supports the notion that stock markets create incentives for public firms to manage reported earnings to satisfy the expectations of various market participants that are often expressed in earnings numbers.     

A market without the 'right' property rights

While Vietnam's reforms provided some of the weakest legal private property rights amongst the transitions countries, cities like Ho Chi Minh City have booming domestic real estate markets. Interestingly, while most properties in 2001 did not have legal title, those on the market did advertise a variety of property rights claims. Employing a hedonic price model to analyse the pattern of prices at which sellers offer properties in Ho Chi Minh City, this study examines how this market values property rights. The findings show that multiple forms of property rights, enforced by highly decentralized state institutions, are operational in this market. Furthermore, legal title itself is not the most valuable form of property right. These findings suggest that the value of property rights emanates from where it is enforced within the particular institutional context of a market.     

Network dynamics of tourism development in South Korea

This study utilizes network analysis to trace the evolution in the organizations of tourism development during South Korea’s transition from a developing to a developed country spanning the period from 1945 to 1999. This is studied by examining changes within a network of organizations as their means and objectives evolve. Data are drawn from news articles that deal with tourism and development from 1945 to 1999, and coded into organizations, development-related means, and objectives. Two-mode and a one-mode metric network analysis and correspondence analysis of coded data were undertaken. The results show the dynamic nature of networks interacting among organizations along with their means and objectives. Furthermore, this study states that the “social embeddedness” of the tourism network became stronger over time, leading to further development opportunities.     

On the Use of Intra-Industry Information to Improve Earnings Forecasts

We investigate whether earnings forecasts are improved by earlier earnings disclosures by firms in the same industry. We find improvements for time series forecasts, but not for analysts' forecasts. Considering prior earnings announcements reduces correlations between forecast errors and security price reactions to earnings announcements, even when incorporating these announcements improves forecast accuracy. Our explanation for this anomaly, which is supported by additional analysis, is that intra-industry information facilitates predicting transitory, rather than permanent, earnings components. The question of whether information transfers improve earnings forecasts provides the context for the analysis, but the primary contribution is the documentation of intra-industry information transfers in a setting other than capital markets.     

A Test of the Errors–in–Expectations Explanation of the Value/Glamour Stock Returns Performance: Evidence from Analysts' Forecasts

Several empirical studies show that investment strategies that favor the purchase of stocks with low prices relative to conventional measures of value yield higher returns. Some of these studies imply that investors are too optimistic about (glamour) stocks that have had good performance in the recent past and too pessimistic about (value) stocks that have performed poorly. We examine whether investors systematically overestimate (underestimate) the future earnings performance of glamour (value) stocks over the 1976 to 1997 period. Our results fail to support the extrapolation hypothesis that posits that the superior performance of value stocks is because investors make systematic errors in predicting future growth in earnings of out–of–favor stocks.     

Option pricing: A general equilibrium approach

This article examines option valuation in a general equilibrium framework. We focus on the general equilibrium implications of price dynamics for option valuation. The general equilibrium considerations allow us to derive an alternative option valuation formula that is as simple as the Black and Scholes formula, and that exhibits different behavior with respect to the exercise price and time to expiration. They also help us clarify comparative-statics properties of option valuation formulas in general and of the Black and Scholes model in particular.     

Regional Housing Prices in the USA: An Empirical Investigation of Nonlinearity

Existing literature on housing prices is predominantly in a linear framework, and an important question that has not been addressed is whether housing prices exhibit nonlinearity. We examine Smooth Transition Autoregressive (STAR) model based nonlinear properties of housing prices over the 1969–2004 period for the entire US and the four regions. Our main findings are (1) housing price for the entire US and all regions except for the Midwest show non-linearity, (2) the dynamic properties implied by the nonlinear estimation explain the typical patterns that have characterized each housing market, and (3) results of Granger causality tests look more plausible in the nonlinear framework where we find stronger evidence of Granger causality from housing price to employment and also from mortgage rates to housing price.