Short sale constraints: the impact on the return distribution

This paper tests empirically Hong and Stein's theoretical finding, that in an environment of short sale constraints, investor disagreement over future equity prices leads to negatively skewed return distributions. This study uses data from the Indian equity market to examine the third and fourth moments of the return distribution. The skewness of the return distribution is estimated both from realized returns and option prices. Empirical results provide partial supportive evidence for Hong and Stein's hypothesis.     

How does the call market method affect price efficiency? Evidence from the Singapore Stock Market

On August 21, 2000, the Singapore Exchange (SGX) adopted the call market method to open and close the market while the remainder of the day’s trading continued to rely on the continuous auction method. The call method significantly improved the price discovery process and market quality. A positive spillover effect is observed from the opening and closing calls. Day-end price manipulation also declined after the introduction of the call market method. However, the beneficial impact from the call market method is asymmetric, benefiting liquid stocks more than illiquid stocks.     

Ripples through markets: Inter-market impacts generated by large trades

This paper uses a sample of large trades executed on the London Stock Exchange's SEAQ-I market for European cross-traded firms to investigate their impact on home market prices when parallel markets suffer from information frictions. I find that (a) large London trades produce price impacts in home markets even though no timely information is published, (b) market makers appear to pre- and post-position their inventories by splitting orders across markets, and (c) the price discovery process across markets changes significantly around large trades with the foreign market making a significantly bigger contribution to price discovery at this time, even though information opaqueness exists.     

Comovement,information production,and the business cycle

Recent theoretical research suggests that information production is a positive externality of aggregate economic activity (Veldkamp, 2005). Both the quantity and quality of information increase during periods of economic expansion and decrease during periods of contraction. Based on this insight, we hypothesize and confirm that time-varying information production drives the comovement patterns observed in stock returns. We examine stock return comovement in 36 countries from 1980 to 2007 and show that, consistent with the theory, comovement patterns are countercyclical; that is, when information production is high (low), comovement is low (high). We also find that the relation between comovement and the business cycle is stronger in countries that experience large intertemporal swings in information production. Finally, we show that the relation between business cycle and comovement is stronger in poor countries, countries with less developed financial markets, and countries with weaker accounting and transparency standards. These results suggest that financial development and transparency are conducive to a steady flow of financial information over the business cycle.     

The Puzzling Increase in the Underpricing of Seasoned Equity Offerings

Using a sample of over 3,000 seasoned equity offerings (SEOs) from 1983 to 1998, we test the hypothesis that the U.S. Securities and Exchange Commission's Rule 10b‐21, which disallows the covering of short positions with newly issued SEOs, makes pre‐offer stock prices less informative, which, in turn, causes the new seasoned equity to be priced at a discount. Consistent with the hypothesis, we find that the year the rule went into effect coincides with the year from which we begin observing significant SEO discounts. Further, we find that ex ante uncertainty and SEO discounts are positively related. We also conduct tests specifically related to short selling, and we also consider an exhaustive set of alternative explanations for the discounts. Based on all of the evidence, we conclude that it is the rule that makes issue discounts larger in the 1990s.     

THE EFFECT OF CROSS‐LISTING ON TRADING VOLUME: REDUCING SEGMENTATION VERSUS SIGNALING INVESTOR PROTECTION

We examine the relation between cross‐listing on the U.S. and UK regulated and unregulated exchanges and trading volume for a sample of 500 foreign firms from 34 countries. We find that the increase in trading volume is a function of both reducing segmentation and signaling investor protection. In addition, we find that home market trading volume, firm size, firm returns, and analyst forecast accuracy are the major determinants of a firm's trading volume. We also show that U.S. and UK investors trade foreign securities that originate from low‐investor‐protection countries more than they trade those from high‐investor‐protection countries, which is consistent with the bonding hypothesis.     

OTC Clearing Arrangements for Bank Systemic Risk Regulation: A Simulation Approach

Based on a simulation approach, this paper compares different over‐the‐counter (OTC) clearing models regarding their netting efficiency and loss‐concentration implications. The results indicate that the mandatory clearing of all standardized OTC derivatives by a Central Counterparty (CCP) propagated by regulators would significantly decrease systemic risk as compared to existing clearing arrangements only if the multilateral netting benefits of the CCP and loss mutualization are fully attained. Therefore, regulators have to ensure that there is a critical mass of asset classes under mandatory clearing, that broad market participation in the CCP is enabled, and that there is an appropriate client asset protection regime.     

The impact of terrorism on financial markets: An empirical study

The main focus of this paper is to study empirically the impact of terrorism on the behavior of stock, bond and commodity markets. We consider terrorist events that took place in 25 countries over an 11-year time period and implement our analysis using different methods: an event-study approach, a non-parametric methodology, and a filtered GARCH-EVT approach. In addition, we compare the effect of terrorist attacks on financial markets with the impact of other extreme events such as financial crashes and natural catastrophes. The results of our analysis show that a non-parametric approach is the most appropriate method among the three for analyzing the impact of terrorism on financial markets. We demonstrate the robustness of this method when interest rates, equity market integration, spillover and contemporaneous effects are controlled. We show how the results of this approach can be used for investors’ portfolio diversification strategies against terrorism risk.     

Political uncertainty and firms' information environment: Evidence from China

How political uncertainty affects the supply of value relevant information about a firm is an important but unresolved question. Using an emerging market setting where political leaders are expected to exert significant influence on economic activities, we examine the effect of political uncertainty caused by turnovers of local government leaders on a firm’s information environment. We find that during periods of political uncertainty, the total amount of idiosyncratic information about a firm that is available to the market is reduced. The adverse effect on information supply is manifest in firms that are more politically dependent and stronger when uncertainty is more severe. Further, we provide evidence suggesting that firms react to political uncertainty by reducing the amount and the quality of information provided to investors. We find that information intermediaries such as financial analysts and the media have a moderating effect on the information environment as they increase the production of information during periods of political uncertainty. However, these intermediaries do not negate the net loss of information.     

TRADING COSTS AND QUOTE CLUSTERING ON THE NYSE AND NASDAQ AFTER DECIMALIZATION

We examine execution costs and quote clustering on the New York Stock Exchange (NYSE) and NASDAQ using 517 matching pairs of stocks after decimalization. We find that the mean spread of NASDAQ stocks is greater than the mean spread of NYSE stocks when spreads are equally weighted across stocks, and the difference is greater for smaller stocks. In contrast, the mean NASDAQ spread is narrower than the mean NYSE spread when spreads are volume weighted, and the difference is statistically significant for large stocks. Both NYSE and NASDAQ stocks exhibit high degrees of quote clustering on nickels and dimes, and quote clustering has a significant effect on spreads in both markets.