The well-documented phenomena of departures from the absolute priority rule (APR) have provoked an important public policy debate over their consequences. Some scholars argue that APR violations increase economic efficiency because they play an important role in the avoidance of inefficient liquidations and also mitigate inefficient risk incentives. Another group argues that APR violations should be abolished because they add greater uncertainty to the security valuation process; that is, they increase noise in security prices. To date, however, no evidence has been presented on the issue of how much noise APR violations add. We develop a theoretical model that allows an empirical test of the effect of APR violations on noise; our results suggest that APR violations importantly increase noise. Indeed, at least 30 percent, and as much as 85 percent of the noise in security prices may be attributable to APR violations. This does not suggest that the beneficial effects of APR violations are nonexistent or unimportant, but it does imply that failing to account for the effect of APR violations on noise in any modelling of optimal bankruptcy rules may lead to a suboptimal design. We also find that the amount of noise in this market appears to have declined over time as more institutional/informed investors have entered the market for bankrupt firms' securities and the effect of change in the bankruptcy law has become clearer, both consistent with the noisy rational expectations hypothesis.

This paper takes a novel approach to derive a central bank intervention reaction function. A GARCH model for exchange rates is amended to allow interventions to have an effect on both the mean and the variance of exchange rate returns. An intervention reaction function is obtained by combining the model with a loss function for the central bank. Estimation results for the implied friction model reproduce the familiar ‘leaning against the wind’ policy by the Bundesbank and the Federal Reserve. Furthermore, the central banks appear to have reacted to increases in the conditional variance of daily DM/$-returns.

We study the implied volatility behavior of call options around scheduled news announcement days. Implied volatilities increase significantly during the pre-event period and reach a maximum on the eve of the news announcement. After the news release, implied volatility drops sharply and gradually moves back to its long-run level. Only on the event date are movements in the price of the underlying significantly larger than expected. These results confirm the theoretical results of Merton (1973).

This paper compares the intra-day patterns on the NYSE and AMEX of volatility, trading volume and bid-ask spreads for European and Japanese dually-listed stocks with American stocks of comparable average trading volume and volatility. It is shown that the intra-day patterns for these stocks are remarkably similar even though public information flows differ markedly across these stocks during the trading day. In the early morning, all stocks have higher volatility than later in the day, but this phenomenon is most pronounced for Japanese stocks and affects American stocks the least. We argue that these patterns are consistent with markets reacting to the overnight accumulation of public information but are inconsistent with the view that early morning volatility can be attributed to monopolistic specialist behavior.