This study investigates the day of the week effect on the volatility of major stock market indexes for the period of 1988 through 2002. Using a conditional variance framework, we find that the day of the week effect is present in both return and volatility equations. The highest volatility occurs on Mondays for Germany and Japan, on Fridays for Canada and the United States, and on Thursdays for...

Market makers in over-the-counter markets often make offsetting trades and have significant market power. We develop a market making model that captures this market feature as well as other important characteristics such as information asymmetry and inventory risk. In contrast to the existing literature, a market maker in our model can optimally shift some trade with the informed to other discr...

Existing microstructure literature cannot explain the empirical evidence that bid-ask spreads can decrease with information asymmetry and ignores either information asymmetry or inventory risks. We develop a market making model that highlights the asset pricing impact of market makers’ capability of making offsetting trades in markets where both information asymmetry and inventory risk are sign...

Recent research has documented that learning and evolution are capable of generating many well known features in financial times series. We extend the results of LeBaron & Yamamoto (2007) to explore the impact of varying amounts of imitation and agent learning in a simple order driven market. We show that in our framework, imitation is critical to the generation of long memory persistence in ma...

Using audit trail data for a sample of NYSE firms we show that medium-size trades are associated with a disproportionately large cumulative stock price change relative to their proportion of all trades and volume. This result is consistent with the predictions of Barclay and Warner’s (1993) stealth-trading hypothesis. We find that the source of this disproportionately large cumulative price imp...

This study analyzes the market quality differences, in terms of liquidity and volatility, between Real Estate Investment Trusts (REITs) and non-REIT common stocks. The 2008 financial crisis has significantly influenced the market quality for REITs. Our findings reveal intraday patterns indicating a lower liquidity, higher volatility, and greater price impact for REITs than nonREITs for pre-cris...

It has been widely debated how much nonsynchronous trading drives asymmetric portfolio cross-autocorrelations: lagged returns on a portfolio of larger-capitalization stocks are far more heavily correlated with current returns on a portfolio of smallercapitalization stocks than the converse. This paper proposes a new method to generate precise estimates of the extent to which nonsynchronous trad...

Informed Trading and the Pricing of Good and Bad Private Information in the Cross-Section of Expected Stock Returns We decompose PIN, the Probability of Informed Trading, into components that capture informed trading on good news (PIN G) and on bad news (PIN B), and provide new evidence that PIN and its components capture informed trading around quarterly earnings announcements. Our principal r...

Abstract Amihud’s stock (il)liquidity measure averages daily ratios of the absolute close-to-close return to dollar volume, including overnight returns. Our modified uses open-to-close returns matching and trading volume measurement windows. It is more strongly correlated with trading-cost measures (by 8%–37%) better explains cross-sections returns, doubling estimated liquidity premiums. Using ...

We use a novel framework that integrates standard asset pricing and microstructure models to study how asymmetric information, imperfect competition among market makers, and risk aversion affect equilibrium illiquidity and asset pricing. All the main results are obtained in closed-form. In our model, market power, asymmetric information, and market-making cost drive market illiquidity. This mod...