Although China now has one of the largest government bond markets in the world, the market has received relatively little attention and analysis. We describe the history and structure of the market and assess its functioning. We find that trading in individual bonds was historically sparse but...

We propose a new, computationally-efficient way to approximate the "grouped fixed-effects" (GFE) estimator of Bonhomme and Manresa (2015), which estimates grouped patterns of unobserved heterogeneity. To do so, we generalize the fuzzy C-means objective to regression settings. As the...

This paper explores liquidity spillovers in market-capitalization-based portfolios of NYSE stocks. Return, volatility, and liquidity dynamics across the small- and large-cap sectors are modeled by way of a vector autoregression model, using data that spans more than 3,000 trading days. We find...

The finance industry has grown. Financial markets have become more liquid. Information technology has improved. But have prices become more informative? Using stock and bond prices to forecast earnings, we find that the information content of market prices has not increased since 1960. The...

We develop a new methodology to estimate the impact of a financial transaction tax (FTT) on financial market outcomes. In our sequential trading model, there are price-elastic noise and informed traders. We estimate the model through maximum likelihood for a sample of sixty New York Stock...

This paper examines market liquidity in the post-crisis era in light of concerns that regulatory changes might have reduced dealers' ability and willingness to make markets. We begin with a discussion of the broader trading environment, including an overview of regulations and their potential...

Standard factor pricing models do not capture well the common time-series or cross-sectional variation in average returns of financial stocks. We propose a five-factor asset pricing model that complements the standard Fama and French (1993) three-factor model with a financial sector ROE factor...

We provide aggregate statistics on U.S. dealers' bilateral repurchase agreements and economically equivalent securities lending activities. The data were collected from the U.S.-affiliated securities dealers of nine bank holding companies under a voluntary pilot program run by the Office of...

Option prices embed predictive content for the outcomes of pending mergers and acquisitions. This is particularly important in merger arbitrage, where deal failure is a key risk. In this paper, I propose a dynamic asset pricing model that exploits the joint information in target stock and option...

We estimate a highly significant price of risk that forecasts global stock and bond returns as a nonlinear function of the CBOE Volatility Index (VIX). We show that countries' exposure to the global price of risk is related to macroeconomic risks as measured by output, credit, and inflation...