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National cultures significantly explain cross-country differences in the relation between asset growth and stock returns. Motivated by the notion that managers in individualistic and low uncertainty-avoiding cultures have a higher tendency to overinvest, this study aims to show that the negative relation between asset growth and stock returns is stronger in countries with such cultural features. Once the researchers control for cultural dimensions, proxies associated with the q-theory, limits-to-arbitrage, corporate governance, investor protection and accounting quality provide no incremental power for the relation between asset growth and stock returns across countries. Evidence of this study highlights the importance of the overinvestment hypothesis in explaining the asset growth anomaly around the world.

The main purpose of this study is to examine whether macroeconomic variables could subsume the size and book‐to‐market (BM) anomalies for longer‐return intervals using Tokyo Stock Exchange‐listed stocks.

The Fama‐MacBeth cross‐sectional regressions of various models over time‐intervals ranging from one month to one year are performed.

The empirical results show that most macroeconomic variables explain short‐term returns within six months, with the industrial production as the only variable that persistently explains returns of all horizons ranging from one month to one year. Firm size does bear significant risk premium, but its significance diminishes for return‐intervals beyond three months when macroeconomic variables are included in the regression. BM is the only variable that significantly accounts for the cross‐section of stock returns for all horizons, regardless of the inclusion of macroeconomic variables.

These empirical findings suggest that stock returns are determined by both rational factors such as macroeconomic variables and behavioral factors such as BM.

The findings suggest that potential trading strategies indeed can be formed to exploit the persistent predictability, especially the BM regularity.

This paper is the first study that examines the competing explanatory power of various asset‐pricing models over different investment horizons.

We examine the impact of the unique Japanese stock market microstructure on the pricing of stock index futures contracts. We use intraday transactions data for the Nikkei 225 Futures contracts in Osaka and the corresponding Nikkei 225 Index in Tokyo. Incorporating more realistic transaction-cost estimates and various institutional impediments in Japan, we find that the time-varying liquidity of some component shares of the index in Tokyo represents the most critical impediment to intraday arbitrage and often causes futures prices in Osaka to deviate significantly and persistently from their no-arbitrage boundary, especially for longer-lived contracts.

This study examines whether the Hong Kong stock market overreacts. By using monthly return data of all the common stocks listed on the Hong Kong Stock Exchange from January 1980 to December 1995, it examines the profitability of a contrarian strategy of buying prior losers and selling prior winners. The evidence shows that prior losers outperform prior winners by up to 68.59% in the subsequent five‐year test period. This finding can be interpreted as investors' tendency to react over‐optimistically to positive information and over‐pessimistically to negative information, thus causing stock prices to take temporary swing away from their intrinsic values and then reverse back subsequently. Our result is consistent with that documented by Debondt and Thaler (1985) for the U.S. market. This study also investigates whether seasonality accounts for the abnormal return but finds that the overreaction effect is not caused by the well‐known January effect. Further tests are conducted to investigate whether changes in betas of the winners and losers account for the abnormal return. The evidence shows that such changes are also minor, which cannot explain the price reversal phenomenon.

This case study examines the controversial practice by the Commonwealth of Australia during the period 1988–2002 of using currency swaps as part of its debt management strategy. Although the strategy provided a positive return overall, the impact of currency swap usage created significant year-by-year variations in returns, which posed a risk to debt interest and financing requirements. This suggests that the risk limits imposed on this strategy were both inappropriate and insufficient. Nonetheless, these findings provide insights into how such a policy could best be implemented given recent proposals (OECD, 2007) for derivatives use by public debt managers.

We revisit the performance of seasoned equity offerings (SEOs) in Japan against the backdrop of the Tokyo Stock Exchange's historical nine-year run up from 1980 to 1989, with the time period chosen for the purpose of comparison to previous studies. We analyze the long-run performance of 427 issues or 387 Japanese firms that conducted SEOs from 1980–1990. Initial results indicate that SEOs firms underperform standard benchmarks over subsequent 3- and 5-year periods after issuing. The results from value-weighted portfolios, however, show that SEOs outperform three out of five benchmarks. The results from the Fama-French three factor model show that all of the 16 SEO portfolios (formed by size and book-to-market quartiles) have positively significant intercepts, and most loadings are significant. The size loadings from time series three-factor model of value-weighted portfolio show that SEO sample firm returns exhibit characteristics of large firms as opposed to those of small firms under equally weighted portfolios. Our results support the arguments that (1) the returns of issuing firms are not idiosyncratic, but rather covary with the common factors of nonissuing firms and that (2) the underperformance of SEOs is sensitive to the precise test specifications.

In the wake of climate change and its associated impact on firms' performance, this paper attempts to provide a piece of empirical evidence in support of the effect of weather conditions on the stock market performance.

Monthly time-series dataset and the fully modified ordinary least square (FMOLS) semi-parametric econometric technique are used to establish the effect of weather variables on stock market return.

This study finds that temperature and wind speed have a negative and statistically significant relationship with stock market performance. Likewise, humidity exhibits a negative relationship with stock market performance, albeit insignificant. The relevant stock market and macroeconomic control variables are statistically significant in addition to exhibiting their expected signs. The findings lend support to advocates of behavioural factors inclusion in asset pricing and decision-making.

For policy purposes, the authors recommend that traders, investors and stock exchange managers must take into consideration different weather conditions as they influence investors' behaviour, investment decisions, and consequently, the stock market performance.

To the best of the authors’ knowledge, this study provides the first empirical evidence of the nexus between disaggregated weather measures and stock market performance in Ghana. This study uses monthly data (which are very rare in the literature, especially for developing country studies) to provide empirical evidence that weather influences stock market performance.

This case describes management's sequential reevaluation of Marriott's debt capacity and the decision about how to invest this unused debt. Videotape #5556, “Strategic Leadership,” is designed for use with this case (see Videotape Bibliography).