Search Results
Showing results 1 to 10 of approximately 21.
(refine search)
Working Paper
The Financial Stability Implications of Digital Assets
The value of assets in the digital ecosystem has grown rapidly, amid periods of high volatility. Does the digital financial system create new potential challenges to financial stability? This paper explores this question using the Federal Reserve’s framework for analyzing vulnerabilities in the traditional financial system. The digital asset ecosystem has recently proven itself highly fragile. However adverse digital asset markets shocks have had limited spillovers to the traditional financial system. Currently, the digital asset ecosystem does not provide significant financial services ...
Discussion Paper
How Correlated is LIBOR with Bank Funding Costs?
In a recent article in the BIS Quarterly Review, authors Schrimpf and Sushko (2019) provide an overview of the LIBOR transition to risk-free rates led by the FSB Official Sector Steering Group (OSSG). They also argue that rates like LIBOR may be desirable because banks “require a lending benchmark that behaves not too differently from the rates at which they raise funding.”
Working Paper
Is the Intrinsic Value of Macroeconomic News Announcements Related to their Asset Price Impact?
The literature documents a heterogeneous asset price response to macroeconomic news announcements. We explain this variation with a novel measure of the intrinsic value of an announcement - the announcement's ability to nowcast GDP growth, inflation, and the Federal Funds Target Rate-and decompose it into the announcement's relation to fundamentals, a timeliness premium, and a revision premium. We find that differences in intrinsic value can explain a significant fraction of the variation in the announcements' price impact on Treasury bond yields. The announcements' timeliness and relation to ...
Working Paper
Has international financial co-movement changed? Emerging markets in the 2007-2009 financial crisis
Emerging market (EM) assets have historically been regarded as inherently risky and particularly vulnerable to international shocks that result in a general increase in investor risk perceptions. In this paper, we assess the ongoing relevance of this view by examining the linkages between EM and non-EM stock and bond markets in the past two decades, with a focus on how these relationships played out during the global financial crisis of 2007-2009. We evaluate how these linkages have evolved over the period 1992-2009, through statistical tests of whether the volatility of EM financial markets ...
Working Paper
Measuring the Liquidity Profile of Mutual Funds
We measure the liquidity profile of open-end mutual funds using the sensitivity of their daily returns to aggregate liquidity. We study how this sensitivity changes around real-activity macroeconomic announcements that reveal large surprises about the state of the economy and after three relevant market events: Bill Gross's departure from PIMCO, Third Avenue Focused Credit Fund's suspension of redemptions, and the effect of Lehman Brothers' collapse on Neuberger Berman. Results show that, following negative news, the sensitivity to aggregate liquidity increases for less-liquid mutual funds, ...
Working Paper
Financial Shocks in an Uncertain Economy
The past 15 years have been eventful. The Global Financial Crisis (GFC) reminded us of the importance of a stable financial system to a well-functioning economy, one with low and stable inflation and maximum employment. Given the recent banking stress, we ponder this issue again. The pandemic was a huge shock surrounded by much uncertainty, making precise forecasts within traditional models difficult. And more recently, there has been continuous talk of a soft landing and recession risks.In this paper, I focus on some of the lessons we have learned over the years: (i) uncertainty and tail ...
Working Paper
Fed Communication, News, Twitter, and Echo Chambers
We estimate monetary policy surprises (sentiment) from the perspective of three different textual sources: direct central bank communication (FOMC statements and press conferences), news articles, and Twitter posts during FOMC announcement days. Textual sentiment across sources is highly correlated, but there are times when news and Twitter sentiment substantially disagree with the sentiment conveyed by the central bank. We find that sentiment estimated using news articles correlates better with daily U.S. Treasury yield changes than the sentiment extracted directly from Fed communication, ...
Working Paper
A bivariate model of Fed and ECB main policy rates
This paper studies when and by how much the Fed and the ECB change their target interest rates. I develop a new nonlinear bivariate framework, which allows for elaborate dynamics and potential interdependence between the two countries, as opposed to linear feedback rules, such as a Taylor rule, and I use a novel real-time data set. A Bayesian estimation approach is particularly well suited to the small data sample. Empirical results support synchronization between the central banks and non-zero correlation between magnitude shocks, but they do not support follower behavior. Institutional ...
Working Paper
Macroeconomic and Financial Risks: A Tale of Mean and Volatility
We study the joint conditional distribution of GDP growth and corporate credit spreads using a stochastic volatility VAR. Our estimates display significant cyclical co-movement in uncertainty (the volatility implied by the conditional distributions), and risk (the probability of tail events) between the two variables. We also find that the interaction between two shocks--a main business cycle shock as in Angeletos et al. (2020) and a main financial shock--is crucial to account for the variation in uncertainty and risk, especially around crises. Our results highlight the importance of using ...
Working Paper
Real-time measurement of business conditions
We construct a framework for measuring economic activity in real time (e.g., minute-by-minute), using a variety of stock and flow data observed at mixed frequencies. Specifically, we propose a dynamic factor model that permits exact filtering, and we explore the efficacy of our methods both in a simulation study and in a detailed empirical example.