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Author:Dobrev, Dobrislav 

Discussion Paper
Breaking Down TRACE Volumes Further

Following an earlier joint FEDS Note and Liberty Street Economics blog post that examined aggregate trading volume in the Treasury cash market across venues, this post looks at volume across security type, seasoned-ness (time since issuance), and maturity. The analysis, which again relies on transactions recorded in the Financial Industry Regulatory Authority's (FINRA) Trade Reporting and Compliance Engine (TRACE), sheds light on perceptions that some Treasury securities—in particular those that are off-the-run—may not trade very actively. We confirm that most trading volume is made up of ...
Liberty Street Economics , Paper 20181129

Discussion Paper
Breaking Down TRACE Volumes Further

This joint FEDS Note and Liberty Street Economics blog post from staff at the Board of Governors and the Federal Reserve Bank of New York aims to share further initial insights on Treasury cash transactions reported in the Financial Industry Regulatory Authority (FINRA)’s Trace Reporting and Compliance Engine (TRACE).
FEDS Notes , Paper 2018-11-29

Discussion Paper
Unlocking the Treasury Market through TRACE

This joint FEDS Note and Liberty Street Economics blog post from staff at the Board of Governors and Federal Reserve Bank of New York aims to share initial insights on the Treasury cash transactions data reported to Financial Industry Regulatory Authority (FINRA)'s Trade Reporting and Compliance Engine (TRACE).
FEDS Notes , Paper 2018-09-28-1

Discussion Paper
Unlocking the Treasury Market through TRACE

The U.S. Treasury market is widely regarded as the deepest and most liquid securities market in the world, playing a critical role in the global economy and in the Federal Reserve’s implementation of monetary policy. Despite the Treasury market’s importance, the official sector has historically had limited access to information on cash market transactions. This data gap was most acutely demonstrated in the investigation of the October 15, 2014, flash event in the Treasury market, as highlighted in the Joint Staff Report (JSR). Following the JSR, steps were taken to improve regulators’ ...
Liberty Street Economics , Paper 20180928b

Working Paper
The information content of high-frequency data for estimating equity return models and forecasting risk

We demonstrate that the parameters controlling skewness and kurtosis in popular equity return models estimated at daily frequency can be obtained almost as precisely as if volatility is observable by simply incorporating the strong information content of realized volatility measures extracted from high-frequency data. For this purpose, we introduce asymptotically exact volatility measurement equations in state space form and propose a Bayesian estimation approach. Our highly efficient estimates lead in turn to substantial gains for forecasting various risk measures at horizons ranging from a ...
Finance and Economics Discussion Series , Paper 2010-45

Working Paper
A robust neighborhood truncation approach to estimation of integrated quarticity

We provide a first in-depth look at robust estimation of integrated quarticity (IQ) based on high frequency data. IQ is the key ingredient enabling inference about volatility and the presence of jumps in financial time series and is thus of considerable interest in applications. We document the significant empirical challenges for IQ estimation posed by commonly encountered data imperfections and set forth three complementary approaches for improving IQ based inference. First, we show that many common deviations from the jump diffusive null can be dealt with by a novel filtering scheme that ...
International Finance Discussion Papers , Paper 1078

Discussion Paper
What Do Quoted Spreads Tell Us About Machine Trading at Times of Market Stress? Evidence from Treasury and FX Markets during the COVID-19-Related Market Turmoil in March 2020

We highlight four main results from our analysis. First, we find that quoted spreads did not merely rise to much higher than usual levels on average, but were also oscillating over a wider range; while at some points within the day spreads were substantially wider than on a typical day, at other times spreads were as narrow as on a typical day. This result suggests that market participants, likely including both dealers and PTFs, became less willing to replenish the order book fast enough to keep quoted bid-ask spreads consistently tight in these markets, which may have amplified the initial ...
FEDS Notes , Paper 2020-09-25

Working Paper
The information content of high-frequency data for estimating equity return models and forecasting risk

We demonstrate that the parameters controlling skewness and kurtosis in popular equity return models estimated at daily frequency can be obtained almost as precisely as if volatility is observable by simply incorporating the strong information content of realized volatility measures extracted from high-frequency data. For this purpose, we introduce asymptotically exact volatility measurement equations in state space form and propose a Bayesian estimation approach. Our highly efficient estimates lead in turn to substantial gains for forecasting various risk measures at horizons ranging from a ...
International Finance Discussion Papers , Paper 1005

Report
Jump-robust volatility estimation using nearest neighbor truncation

We propose two new jump-robust estimators of integrated variance based on high-frequency return observations. These MinRV and MedRV estimators provide an attractive alternative to the prevailing bipower and multipower variation measures. Specifically, the MedRV estimator has better theoretical efficiency properties than the tripower variation measure and displays better finite-sample robustness to both jumps and the occurrence of ?zero? returns in the sample. Unlike the bipower variation measure, the new estimators allow for the development of an asymptotic limit theory in the presence of ...
Staff Reports , Paper 465

Working Paper
Accurate Evaluation of Expected Shortfall for Linear Portfolios with Elliptically Distributed Risk Factors

We provide an accurate closed-form expression for the expected shortfall of linear portfolios with elliptically distributed risk factors. Our results aim to correct inaccuracies that originate in Kamdem (2005) and are present also in at least thirty other papers referencing it, including the recent survey by Nadarajah, Zhang, and Chan (2014) on estimation methods for expected shortfall. In particular, we show that the correction we provide in the popular multivariate Student t setting eliminates understatement of expected shortfall by a factor varying from at least 4 to more than 100 across ...
Finance and Economics Discussion Series , Paper 2016-065

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