Do Casinos Cause Economic Growth?

A bstract .   Casino gambling is a popular form of entertainment and is purported to have positive effects on host economies. The industry surely affects local labor markets and tax revenues. However, there has been little evidence on the effects of casino gambling on state economic growth. This paper examines that relationship using Granger-causality analysis modified for use with panel data. Our results indicate that there is no Granger-causal relationship between real casino revenues and real per capita income at the state level. The results are based on annual data from 1991 to 2005. These findings contradict an earlier study that found that casino revenues Granger-cause economic growth, using quarterly data from 1991 to 1996. Possible explanations for the differences in short- and long-run effects are discussed.     

Some empirical evidence on the determinants of incomes policies in the UK

A model is proposed in which incomes policy is the endogenous variable and is explained by political and economic variables. The empirical results show that the party in power, inflation, wage change and unemployment effect the chances of an incomes policy.     

Closed-End Fund Expenses and Investment Selection

Investment returns on closed‐end funds are highly volatile. Because expenses have a definite negative impact on closed‐end fund returns, investors should include the expense ratio as a criterion for fund selection in addition to performance, investment objective, and risk of the fund. This paper constructs a model of the expense ratio of closed‐end funds to explain cross‐sectional differences in the expense ratios for the period between 1989–1996. We relate closed‐end fund expenses to fund characteristics and identify the factors that can help investors choose low expense closed‐end funds.     

TIME‐VARYING VOLATILITY IN CANADIAN AND U.S. STOCK INDEX AND INDEX FUTURES MARKETS: A MULTIVARIATE ANALYSIS

We use a multivariate generalized autoregressive heteroskedasticity model (M‐GARCH) to examine three stock indexes and their associated futures prices: the New York Stock Exchange Composite, S&P 500, and Toronto 35. The North American context is significant because markets in Canada and the United States share similar structures and regulatory environments. Our model allows examination of dependence in volatility as it captures time variation in volatility and cross‐market influences. Estimated time variation in volatility is significant, and the volatilities are highly positively correlated. Yet, we find that the correlation in North American index and futures markets has declined over time.     

The Gilt-Equity Yield Ratio and the Predictability of UK and US Equity Returns

A number of financial variables have been shown to be effective in explaining the time-series of aggregate equity returns in both the UK and the US. These include, inter alia , the equity dividend yield, the spread between the yields on long and short government bonds, and the lagged equity return. Recently, however, the ratio between the long government bond yield and the equity dividend yield – the gilt-equity yield ratio – has emerged as a variable that has considerable explanatory power for UK equity returns. This paper compares the predictive ability of the gilt-equity yield ratio with these other variables for UK and US equity returns, providing evidence on both in-sample and out-of-sample performance. For UK monthly returns, it is shown that while the dividend yield has substantial in-sample explanatory power, this is not matched by out-of sample forecast accuracy. The gilt-equity yield ratio, in contrast, performs well both in-sample and out-of-sample. Although the predictability of US monthly equity returns is much lower than for the UK, a similar result emerges, with the gilt-equity yield ratio dominating the other variables in terms of both in-sample explanatory power and out-of-sample forecast performance. The gilt-equity yield ratio is also shown to have substantial predictive ability for long horizon returns.     

Accounting Practices and the Market Valuation of Accounting Numbers: Evidence from Indonesia, Korea, Malaysia, the Philippines, Taiwan, and Thailand

This study examines the relation between stock prices and accounting earnings and book values in six Asian countries: Indonesia, South Korea, Malaysia, the Philippines, Taiwan, and Thailand. The analysis is based on a residual earnings model that expresses the value of the firm in terms of book value and residual income. The model holds for any clean surplus accounting system. However, for finite time horizons, biased accounting may affect model estimates. The six countries examined in this study differ in faithfulness to clean surplus accounting as well as bias (conservatism). The study addresses two questions. First, are there systematic differences across countries in the value relevance of accounting, and are these differences related to accounting differences? Second, are there systematic differences in the incremental and relative information content of book value per share (BVPS) and abnormal (residual) earnings per share (REPS) across the countries, and are such differences related to accounting differences? We find differences across the six countries in the explanatory power of BVPS and REPS for firm values. Explanatory power for Taiwan and Malaysia is relatively low while that for Korea and the Philippines is relatively high. These differences are generally consistent with differences in accounting practice; however, since Korean accounting practice is strongly influenced by tax law, we did not expect the high association for Korea. Second, with respect to the incremental and relative explanatory power of BVPS and REPS, we find BVPS to have high explanatory power in the Philippines and Korea but little in Taiwan. In all six countries REPS has less explanatory power than BVPS in most years. Again, the evidence may be interpreted as suggesting accounting practice affects valuation (with Korea again as the exception). Finally, we provide evidence on the sensitivity of the timing of comparisons of stock prices and accounting values. We find that comparing prices at year-end (even though annual accounting information has not been released at that time), in general, provides the highest correlation between market and accounting numbers.