REIT Splits and Dividend Changes: Tests of Signaling and Information Substitutability

Recent work on stock splits have attempted to relate the information value associated with splits with that from dividends signaling. This paper extends this genre of research by evaluating the issue of dividend predictability using REIT data where the self-selection issue associated with dividend payment is minimized. The use of REIT data also eliminates the “differential expectations” effect for non-dividend paying firms, thus rendering a more robust test of the information substitutability hypothesis postulated by Nayak and Prabhala (2001). To the extent that stock splits are signals of future cash flows, we further examine the question of leverage predictability associated with REIT splits, particularly for highly levered firms. We find that REITs that use dividend changes as a signaling mechanism prior to splits have smaller price responses to the private information revealed by splits than those that do not provide such signals, consistent with the notion that dividends and splits are indeed information substitutes. Further, REIT splits provide useful information about future dividend and leverage changes.     

Individual Differences in EWA Learning with Partial Payoff Information

We extend experience-weighted attraction (EWA) learning to games in which only the set of possible foregone payoffs from unchosen strategies are known, and estimate parameters separately for each player to study heterogeneity. We assume players estimate unknown foregone payoffs from a strategy, by substituting the last payoff actually received from that strategy, by clairvoyantly guessing the actual foregone payoff, or by averaging the set of possible foregone payoffs conditional on the actual outcomes. All three assumptions improve predictive accuracy of EWA. Individual parameter estimates suggest that players cluster into two separate subgroups (which differ from traditional reinforcement and belief learning).     

Cultural aspect and technological development: a Chinese perspective

This paper explores the cultural characteristics that deter and stimulate the development of a total technology and identifies the significant cultural differences among individuals with strong and weak Chinese cultural inclinations through statistical analysis of the results of an empirical survey.     

Price Premium and Foreclosure Risk

Many previous studies identify loan, property, borrower and environmental factors that impact the probability of foreclosure. Implicit in these studies is the assumption that the property was purchased at fair value. We question this assumption based on several empirical findings regarding property value uncertainty. In contrast to previous research, we explicitly quantify the price premium from a hedonic pricing model. Using a comprehensive database of real estate transactions in Singapore during 1989–2000, we document a price premium associated with properties that are subsequently foreclosed based on actual sales transactions. In addition, we find that the premium paid at purchase significantly increases the probability of foreclosure. These results are robust and continue to hold after controlling for other property-specific factors, time-varying macroeconomic conditions, alternative model specifications and definitions of price premium.     

A note on the determinants of airline choice: The case of Air Asia and Malaysia Airlines

Logit analysis is employed on primary data from departing air passengers at the Penang International Airport, Malaysia to examine the determinants of airline choice between incumbent Malaysia Airlines and low-cost Air Asia. With the exception of educational level and ethnicity, other socio-demographic characteristics do not play a statistically significant role in determining airline choice. Instead, behavioral factors such as concerns over schedules and fares, routes, booking methods and purpose of journey are found to be predictors of airline carrier choice.