Competition from the limit order book and NYSE spreads

Using the New York Stock Exchange’s (NYSE) trades, orders, reports, and quotes data, we investigate whether competition from the limit order book reduces NYSE spreads. We replicate and extend the research design of McInish and Wood (1992). We find that there is a statistically significant reduction in NYSE spreads as a result of limit order competition and that the reduction is significantly greater in the morning than during the remainder of the trading day. We also examine the day-of-the-week differences in limit order placements and find no day of the week pattern in the number or the size of limit order placements.     

Information uncertainty,information asymmetry and corporate bond yield spreads

This study examines the effects of information uncertainty and information asymmetry on corporate bond yield spreads using American data from 2001 to 2006. Empirical results of this study show that investors charge a significant risk premium for both information uncertainty and information asymmetry when controlling for variables well known in the literature. The results are robust even when controlling for credit ratings. Finally, information uncertainty and asymmetry help structural-form credit models explain the yield spreads of bonds with short maturities.     

Asymmetric information effects on loan spreads

This paper estimates the cost arising from information asymmetry between the lead bank and members of the lending syndicate. In a lending syndicate, the lead bank retains only a fraction of the loan but acts as the intermediary between the borrower and the syndicate participants. Theory predicts that asymmetric information will cause participants to demand a higher interest rate and that a large loan ownership by the lead bank should reduce this effect. In equilibrium, however, the asymmetric information premium demanded by participants is offset by the diversification premium demanded by the lead. Using shifts in the idiosyncratic credit risk of the lead bank's loan portfolio as an instrument, I measure the asymmetric information effect of the lead's share on the loan spread and find that it accounts for approximately 4% of the total cost of credit.     

The cross-market information content of stock and bond order flow

In this paper I test the hypothesis that trading activity in the stock and bond markets contains important marketwide pricing information. Using a large sample of actively traded stocks and U.S. Treasury securities, I find that aggregate order imbalances play a strong role in explaining cross-market returns. I interpret this as evidence that aggregate order flow reveals information about the risk preferences, beliefs, and endowments of the investor population that is relevant for pricing securities in both markets. I also find evidence that cross-market hedging is an important source of linkages across the two markets, especially during periods of elevated equity volatility.     

Institutional ownership and credit spreads: An information asymmetry perspective

Recent literature has documented a link between institutional equity ownership (IO) and cost of debt capital, and interpreted it as a corporate governance effect. However, institutional equity investors may also affect cost of debt through their influence on information asymmetry condition of firms. To distinguish between the two effects, we break down institutional investors into different groups: transient institutional investors (TRA who are sensitive to information asymmetry but unlikely to participate in corporate governance, and the dedicated ones (DED) who act oppositely. Based on a most up-to-date and comprehensive bond data spanning the past 20 years, we find that credit spreads narrow (widen) with an increase in equity ownership by TRA (DED). The effects are most prominent among short-term bonds, bonds with lower ratings, higher leverage and higher volatilities. The results persist after controlling for potential endogeneity and other information asymmetry measures, and are unlikely due to an asset substitution effect. Overall, our findings provide strong support for the effect of information asymmetry on credit spread, and highlight the importance of distinguishing various types of institutional investors.     

The pecking order,debt capacity,and information asymmetry

We quantify the empirical relevance of the pecking order hypothesis using a novel empirical model and testing strategy that addresses statistical power concerns with previous tests. While the classificatory ability of the pecking order varies significantly depending on whether one interprets the hypothesis in a strict or liberal (e.g., “modified” pecking order) manner, the pecking order is never able to accurately classify more than half of the observed financing decisions. However, when we expand the model to incorporate factors typically attributed to alternative theories, the predictive accuracy of the model increases dramatically—accurately classifying over 80% of the observed debt and equity issuances. Finally, we show that what little pecking order behavior can be found in the data is driven more by incentive conflicts, as opposed to information asymmetry.     

An empirical study of portfolio-balance and information effects of order flow on exchange rates

We propose a simple structural model of exchange rate determination which is inspired by the analytical framework recently forward by Bacchetta and van Wincoop (2006) and allows us to disentangle the portfolio-balance and information effects of order flow on exchange rates. We estimate this model employing an innovative transaction data-set that covers all indirect foreign exchange transactions completed in the USD/EUR market via EBS and Reuters between August 2000 and January 2001. Our results indicate that the strong contemporaneous correlation between order flow and exchange rates is largely due to portfolio-balance effects. This result also appears to carry through the four FX intervention events that appear in our sample.     

Suppliers’ and customers’ information asymmetry and corporate bond yield spreads

This study investigates the information asymmetry effects of suppliers and customers on a firm’s bond yield spreads by employing American bond market data from 2001 to 2008. This study finds that both suppliers’ and customers’ information asymmetry effects significantly explain a firm’s bond yield spreads. Besides, the information asymmetry effects of more important suppliers and customers are more significant than those of less important ones. The results are robust even after controlling for other well-known firm specific and economic variables.     

The demand for accounting information: young NASDAQ listings versus S&P 500 NYSE listings

The main purpose of this paper is to examine accounting information which can be of poor quality for some industries because uniform regulation applies to all. However, there is a strong demand for reliable accounting data even when the quality of the data is poor. Consistent with this premise, I show that among young NASDAQ listings the valuation coefficient on BVE is higher and that on earnings is not lower for intangible-intensive ventures than for other firms. I also show that GAAP OCF provides additional information that enhances the quality of earning information. This results in a shift in valuation weight from BVE to earnings for intangible-intensive young NASDAQ listings. However, these phenomena do not appear for intangible-intensive S&P 500 firms listed on NYSE. My results suggest that variations in the demand for reliable financial data affect the valuation coefficients on earnings and BVE.     

Market conditions,default risk and credit spreads

This study empirically examines the impact of the interaction between market and default risk on corporate credit spreads. Using credit default swap (CDS) spreads, we find that average credit spreads decrease in GDP growth rate, but increase in GDP growth volatility and jump risk in the equity market. At the market level, investor sentiment is the most important determinant of credit spreads. At the firm level, credit spreads generally rise with cash flow volatility and beta, with the effect of cash flow beta varying with market conditions. We identify implied volatility as the most significant determinant of default risk among firm-level characteristics. Overall, a major portion of individual credit spreads is accounted for by firm-level determinants of default risk, while macroeconomic variables are directly responsible for a lesser portion.     

Tick size,NYSE rule 118, and ex-dividend day stock price behavior

Bali and Hite (1998) and Dubofsky (1992) propose models in which market microstructure effects play a role in the ex-dividend day price drop anomaly. Bali and Hite suggest that the anomaly is caused solely by price discreteness, while Dubofsky suggests that NYSE Rule 118 is also involved. We test these models by examining cum- to ex-day price drops during the one-eighth, one-sixteenth, and decimal tick size regimes. While the evidence is qualitatively consistent with Dubofsky's predictions, neither model is satisfactory in a quantitative sense. One of our main empirical findings is that no significant decline was evident in the magnitude of the ex-day anomaly after the tick size reduction.     

Overnight public information,order placement,and price discovery during the pre-opening period

This study examines the impact of corporate news announcements released overnight on price discovery during the pre-opening period in the Australian Securities Exchange. Our results suggest that the presence of these announcements increases the efficiency of indicative opening prices and that the intensity of these announcements significantly influences the aggressiveness of pre-opening orders. Using earnings announcements to compare the speed of price adjustments in response to overnight and daytime information of a homogeneous type, we find that prices respond immediately to overnight news upon the commencement of trading, whereas adjustments based on trading-hours news tend not to be instantaneous. Overall, our evidence highlights the important role of the pre-opening period in price discovery and the prospect of further enhancing this role by timing the release of public information to occur during non-trading hours.     

An empirical analysis of the role of the trading intensity in information dissemination on the NYSE

In this paper, we use high-frequency data on five frequently traded stocks listed on the New York Stock Exchange (NYSE) in the year 1999 to examine the price impact of trades and its relation to the trading intensity. We show that the distribution of the absolute price change with fast trading first-order stochastically dominates the distribution of the absolute price change with slow trading. Moreover, we find significant causality from the trade characteristics to the trading intensity. Large trades significantly increase the speed of trading, while large returns tend to decrease the trading intensity. We show that this feedback has little impact on the distribution of the price impact of trades.     

Equity order flow and exchange rate dynamics

This paper contributes to the literature on international portfolio choice in several ways. First, I generalize the model of Dunne et al. (2010) and derive order flow as the result of correlated belief changes by heterogeneous investors. This strategy delivers testable implications for the daily dynamics of stock flows, equity returns, and exchange rate changes. Second, I empirically confirm these conditions using fifteen years of high-frequency data for US stocks and daily data for twenty US bilateral exchange rates. Third, the model relies on differences in the volatility of country-specific shocks to account for the empirical results. It can explain why the ‘portfolio rebalancing motive’ is not important for commodity countries, as well as the asymmetric structure of currency and stock returns.     

Minimum price variations, discrete bid-ask spreads, and quotation sizes

Exchange minimum price variation regulation's create discretebid-ask spreads. If the minimum quotable spread exceeds thespread that otherwise would be quoted, spreads will be wideand the number of shares offered at the bid and ask may be large.A cross-sectional discrete spread model is estimated by usingintraday stock quotation spread frequencies. The results areused to project 1/16 spread usage frequencies given a 1/16-tick.Projected changes in quotation sizes and in trade volumes areobtained from regression models. For stocks priced under 10,the models predict spreads would decrease 38 percent, quotationsizes would decrease 16 percent, and daily volume would increase34 percent.     

The role of private information in return volatility,bid–ask spreads and price levels in the foreign exchange market

Trading volume and order flow have both been closely associated with informed trader activity in the market microstructure literature. Using theory that explains regular intraday patterns in trading data, we transform these two variables into proxies for private information and examine their relationships with bid–ask spreads and return volatility. We use a unique and unusually rich high-frequency intraday dataset from the world's largest financial market, namely, the electronic inter-dealer spot foreign exchange market. Our analysis takes account of institutional features peculiar to this order-driven market. Our empirical results strongly affirm our theoretical understanding of how these markets work. They also reveal how the structure of the inter-dealer spot FX market affects exchange rate volatility. Finally, we also explore how private information contributes to the evolution of prices.     

The Intraday Relation between NYSE and CBOE Prices

I extend the literature regarding price discovery across stock and option markets through an empirical model that allows information to flow through an error‐correction term and volatility. NYSE prices tend to lead CBOE prices by at least thirty minutes over the entire six‐year sample period. In addition, informed trading in the options market is revealed more strongly through persistence in volatility and the spillover of volatility to the stock market than it is through returns.     

Exchange rate determination and inter-market order flow effects

The dependence of foreign exchange rates on order flow is investigated for four major exchange rate pairs, EUR/USD, EUR/GBP, GBP/USD and USD/JPY, across sampling frequencies ranging from 5 min to 1 week. Strong explanatory power is discovered for all sampling frequencies. We also uncover cross-market order flow effects, e.g. GBP exchange rates are very strongly influenced by EUR/USD order flow. We proceed to investigate the predictive power of order flow for exchange rate changes, and it is shown that the order flow specifications reduce RMSEs relative to a random walk for all exchange rates at high-frequencies and for EUR/USD and USD/JPY at lower sampling frequencies.