We study the determinants of liquidity and price differentials between on-the-run and off-the-run U.S. Treasury bond markets. To guide our analysis, we develop a parsimonious model of multi-asset speculative trading in which endowment shocks separate the on-the-run security from an otherwise...

We study the impact of outright (i.e., permanent) Open Market Operations (POMOs) by the Federal Reserve Bank of New York (FRBNY) on the microstructure of the secondary U.S. Treasury market. POMOs are trades in U.S. Treasury securities aimed at accomplishing the Federal Reserve’s target level...

The idea that integrates parts of this dissertation is that high-frequency data allow for more precise and robust methods for forecasting financial volatility and elucidating the role of volatility in forming asset prices. Thus, the first two chapters compare the performance of model-free...

This dissertation consists of three related chapters that study financial market volatility,jumps and the economic factors behind them. Each of the chapters analyzes adifferent aspect of this problem.The first chapter examines tests for jumps based on recent asymptotic results.Monte Carlo...

Since the introduction of the autoregressive conditional heteroskedastic (ARCH) model in Engle (1982), numerous applications of this modeling strategy have already appeared. A common finding in many of these studies with high frequency financial or monetary data concerns the presence of an...

We develop an empirically highly accurate discrete-time daily stochastic volatility model that explicitly distinguishes between the jump and continuous-time components of price movements using nonparametric realized variation and Bipower variation measures constructed from high-frequency...