SECURITY RETURN DISTRIBUTIONS AND MARKET STRUCTURE: EVIDENCE FROM THE NYSE/AMEX AND THE NASDAQ MARKETS

This paper documents significant and persistent deviations from normality in security return distributions for the NYSE, AMEX, and NASDAQ from 1974 to 1988. Controlling for January and size effects, we find that the deviations of security return distributions from normality decline with increasing portfolio size and investment horizon for the NYSE and AMEX, especially for daily returns. Deviations appear to be greater for the NASDAQ than for the two exchanges even for firms of the same size. Ratios of monthly to daily variances are also larger for the NASDAQ. These results suggest that nonparametric or other robust statistical techniques should be used when valuing equity options and other derivatives, especially when examining NASDAQ security returns. They further imply that trading strategies based on market inefficiencies are more likely to succeed on the NASDAQ.     

SHORT SELLING AND PRICE DISCOVERY: EVIDENCE FROM AMERICAN DEPOSITARY RECEIPTS

The underlying shares of some American Depositary Receipts (ADRs) can be short sold in their home markets, and others cannot. This institutional feature offers a unique opportunity to investigate the relation between short selling and price discovery. We hypothesize and confirm that ADR short selling on a U.S. exchange is more informative when the ADRs’ underlying shares cannot be short sold in the home market. These and related results suggest that short sellers make a significant contribution to price discovery. Short sellers’ trading activity, representing more than 20% of total ADR share volume, increases the benefits of cross‐listing on U.S. exchanges.     

INFORMATION AND NOISE IN FINANCIAL MARKETS: EVIDENCE FROM THE E‐MINI INDEX FUTURES

I examine the informational contributions and effects on transitory volatility of trades initiated by different types of traders in three actively traded index futures markets. The results show that trades initiated by exchange member firms account for more than 60% of price discovery during the trading day. These institutional trades appear to be more informative than trades of individual exchange members or off‐exchange traders. I also find that off‐exchange traders introduce more noise into the prices than do exchange members. My findings provide new evidence on the role of different types of traders in the price formation process.     

RATIONAL INVESTORS' REACTION TO UNCERTAINTY: EVIDENCE FROM THE WORLD'S MAJOR MARKETS

This paper examines the reaction of rational investors to unexpected information across the world's major markets. The empirical results provide considerable support for the Uncertain Information Hypothesis and limited support for the Overreaction Hypothesis. In addition, it is found that investors are compensated for post-event increased volatility across these major markets.     

LONG-TERM STOCK PRICE REVERSALS IN THE UK: EVIDENCE FROM REGRESSION TESTS

This paper seeks to advance our knowledge about the UK evidence on long-term stock price reversals. Many of the major studies of long-term reversals have been done using US data, prompting fears about data snooping biases. There have been comparatively few UK studies and they have all employed contrarian portfolio techniques to identify evidence of reversals. None of these UK studies has used cross-section regression tests, which have been employed in some of the US investigations, and this paper aims to fill this gap. We find evidence of stock price reversals, even after controlling for time-varying risk and restricting the study to larger, UK-listed companies—that is, companies that are frequently traded, more heavily regulated and extensively analysed by market commentators, analysts and institutional investors.     

ARE PRICE LIMITS EFFECTIVE? EVIDENCE FROM THE ISTANBUL STOCK EXCHANGE

There is considerable discussion about controlling volatility by imposing price limits on asset prices. We examine the effects of price limits on a stock market by testing the volatility spillover, delayed price discovery, and trading interference hypotheses in a leading emerging market, the Istanbul Stock Exchange, which has a unique market microstructure as related to price limits. Our results support the volatility spillover, delayed price discovery, and trading interference hypotheses. We also show price locks at limits provide significantly stronger evidence regarding the effects of price limits than limit moves only. Finally, price limits have a significant effect on the stock market, casting doubt on their effectiveness.     

DEBT FORGIVENESS AND STOCK PRICE REACTION OF LENDING BANKS: THEORY AND EVIDENCE FROM JAPAN

We provide a simple model for analyzing how debt forgiveness affects the stock price of a lending bank. Our model shows that although debt forgiveness increases shareholder wealth of a bank in healthy financial condition, it decreases shareholder wealth of a bank in unhealthy financial condition. We empirically investigate the announcement effect of debt forgiveness on bank stock prices in Japanese markets. On average, lending banks experience a significant negative announcement effect with respect to debt forgiveness. Consistent with the prediction of the model, we find a negative relation between the announcement effect and the net bad loan ratio as a proxy of the unhealthiness of the financial condition of the bank.     

LIQUIDITY AND PRICE VARIABILITY IN FUTURES MARKETS

This paper tests the hypothesis that market liquidity affects the price variability of futures contracts. The analyses used take into account the maturity effect and various sources of nonstationarity. Empirical testing involved eleven commodities in various markets. The evidence strongly suggests that futures contracts in distant and thinly traded months exhibit different price variability than contracts in near to maturity and liquid traded months, and that the behavior is commodity dependent. These findings could help investors better evaluate risks and provide a better basis for hedging strategies. Also, monthly averages of open interest can be used interchangeably with volume to measure liquidity in determining which pattern applies to a given commodity.     

STATISTICAL PROPERTIES OF DAILY RETURNS: EVIDENCE FROM EUROPEAN STOCK MARKETS

This paper attempts to model the distributional properties of daily stock returns on several European Stock Exchanges. The empirical findings reveal the presence of non-linear dependencies that cannot be captured by the random walk model. A model of return-generating process that fit the data empirically is the Generalized Autoregressive Conditional Heteroskedastic GARCH (1,1) process with a conditional student- t distribution.