Abstract This paper investigates how a firm’s capital structure choice affects the informational efficiency of its security prices in the secondary markets. We identify two new determinants of a firm’s capital structure policy: the liquidity (adverse selection) premium due to investors’ anticipated losses to informed trading, and operating efficiency improvement due to information revelation from the firm’s security prices. We show that the capital structure decision affects traders’ incentives to acquire information and subsequently, the distribution of informed traders across debt and equity claims. When information is less imperative for improving its operating decisions, a firm issues zero or negative debt (i.e., holding excess cash reserves) in order to reduce socially wasteful information acquisition and the liquidity premium associated with it. When information is crucial for a firm’s operating decisions, the optimal debt level is one that achieves maximum information revelation at the lowest possible liquidity cost. Our model can explain why many firms consistently hold no debt. It also provides new implications for financial system design and for the relationship among leverage, liquidity premium, profitability, and the cost of information acquisition.

In this study, we analyze a sample of 3982 international bond issues from 31 countries to examine the impact of geographic proximity on the selection of lead underwriter in the international bond market. We find that proximate banks are more likely to lead underwrite risky bonds and non-rated bonds. On average, the total issue cost is lower if the lead underwriter is a proximate bank. The overall results suggest that geographically proximate banks have better access to private information about issuing companies. We also find that the cost reduction effect of proximate underwriting only appears in developed markets. In addition, this cost reduction effect is relatively weak in countries with a legal system that provides good investor protection.

Financial integration has strong implications for financial stability. On the one hand, financial integration among economies helps to improve their capacity to absorb shocks and foster development. On the other hand, intensified financial linkages in a world of increasing capital mobility may also harbour the risk of cross-border financial contagion. This paper provides a survey of high-frequency indicators to monitor the development of equity market integration in Asia. The results show that after slowing down between 2002 and 2006, the equity market integration process picked up again in 2007–08. Nevertheless, the process is not complete and the degrees of integration between mature and emerging equity markets are different. The divergence may be attributed to the difference in the political, economic and institutional aspects across jurisdictions in Asia.

This paper studies competition in price discovery between spot and futures rates for the EUR–USD and JPY–USD markets around scheduled macroeconomic announcements. Using both the information shares approach and the common factor component weight approach for futures prices from the Chicago Mercantile Exchange (CME), as well as deal prices from spot trading on the Electronic Broking Services (EBS), we gauge how foreign exchange spot and futures markets respond to news surprises. The results show that the spot rates provide more price discovery than do the CME futures rates overall; however, the contribution of the futures rates to price discovery increases in the time surrounding macroeconomic announcement releases.

We compare density forecasts of the S&P 500 index from 1991 to 2004, obtained from option prices and daily and 5-min index returns. Risk-neutral densities are given by using option prices to estimate diffusion and jump-diffusion processes which incorporate stochastic volatility. Three transformations are then used to obtain real-world densities. These densities are compared with historical densities defined by ARCH models. For horizons of two and four weeks the best forecasts are obtained from risk-transformations of the risk-neutral densities, while the historical forecasts are superior for the one-day horizon; our ranking criterion is the out-of-sample likelihood of observed index levels. Mixtures of the real-world and historical densities have higher likelihoods than both components for short forecast horizons.

By employing two alternative measures of fundamental value, we reexamine the value relevance of accounting information over time. Consistent with some recent studies, we do not find evidence on the temporal decline in R 2s of conventional value-relevance regressions when the stock price is replaced by these measures as the dependent variable. Further, our results show that the divergence between fundamental value and the prevailing stock price (a) increases over time and (b) is associated with measures of noise trading and other arbitrage risks and costs. Additional analyses also reveal that proxies measuring the extent of noise trading increase over time. Overall, we do not find evidence that there is a loss over time in the value relevance of accounting information with respect to fundamental value. More importantly, we show that measures of price divergence are associated with noise trading as well as other arbitrage costs and risks (such as transaction costs and information uncertainty) that prohibit market prices from converging to fundamental values.

ABSTRACT We examine how a firm's incentive to commit fraud when going public varies with investor beliefs about industry business conditions. Fraud propensity increases with the level of investor beliefs about industry prospects but decreases when beliefs are extremely high. We find that two mechanisms are at work: monitoring by investors and short‐term executive compensation, both of which vary with investor beliefs about industry prospects. We also find that monitoring incentives of investors and underwriters differ. Our results are consistent with models of investor beliefs and corporate fraud, and suggest that regulators and auditors should be vigilant for fraud during booms.

This paper investigates the efficiency of stock index options traded over-the-counter (OTC) and on the exchanges in Hong Kong and Japan. Our findings suggest that implied volatility is superior to either historical volatility or a GARCH-type volatility forecast in predicting future volatility in both the OTC and exchange markets. This paper is also one of the first to compare the predictive power of the implied volatility of stock index options traded OTC to that of exchange-traded stock index options. Our evidence suggests that the OTC market is more efficient than the exchanges in Japan, but that the opposite is true in Hong Kong.

We show that “commodity currency” exchange rates have surprisingly robust power in predicting global commodity prices, both in-sample and out-of-sample, and against a variety of alternative benchmarks. This result is of particular interest to policy makers, given the lack of deep forward markets in many individual commodities, and broad aggregate commodity indices in particular. We also explore the reverse relationship (commodity prices forecasting exchange rates) but find it to be notably less robust. We offer a theoretical resolution, based on the fact that exchange rates are strongly forward-looking, whereas commodity price fluctuations are typically more sensitive to short-term demand imbalances.