This paper studies the workup protocol, a unique trading feature in the U.S. Treasury securities market that resembles a mechanism for discovering dark liquidity. We quantify its role in the price formation process in a model of the dynamics of price and segmented order flow induced by the...

We estimate the joint term-structure of U.S. Treasury cash and repo rates using daily prices of all outstanding Treasury securities and corresponding special collateral (SC) repo rates. This allows us to derive a risk premium associated to the SC value of Treasuries and quantitatively link this...

We use clickstream data to show that investors' demand for information about macroeconomic factors affecting the path of future interest rates is a measure of their uncertainty about this path. In particular, an increase in information demand ahead of influential economic announcements affecting...

This paper investigates high-frequency (HF) market and limit orders in the U.S. Treasury market around major macroeconomic news announcements. BrokerTec introduced i-Cross at the end of 2007 and we use this exogenous event as an instrument to analyze the impact of HF activities on liquidity and...

This paper analyses the informational role of the trading activity when jumps occur in the US Treasury market. As jumps mark the arrival of new information to the market, we explore the contribution of jumps in reducing the informational asymmetry. We identify jumps using a combination of jump...

This paper reviews the existing empirical evidence on the time-series behavior of the U.S. Treasury markets at high frequency: daily and intra-day data. The use of high-frequency data in econometric analyses is a major recent development in the study of the fixed income markets: the response of...

This paper investigates high-frequency (HF) trading in the U.S. Treasury market around macroeconomic news announcements. After identifying HF market and limit orders based on the speed of their placement alteration and cancellation deemed beyond manual ability, we use the introduction of the...

Unique features and market frictions can lead to idiosyncratic pricing for some US Treasury securities. This study uses a linear programming (LP) model to measure aggregate idiosyncratic pricing of T-notes and T-bonds from 1980 to 2016. We document an average idiosyncratic pricing of $0.11 per...

In this paper we model and predict the term structure of US interest rates in a data-rich and unstable environment. The dynamic Nelson-Siegel factor model is extended to allow the model dimension and the parameters to change over time, in order to account for both model uncertainty and sudden...

We study the role of co-jumps in the interest rate futures markets. To disentangle continuous part of quadratic covariation from co-jumps, we localize the co-jumps precisely through wavelet coefficients and identify statistically significant ones. Using high frequency data about U.S. and...