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Jel Classification:C51 

Working Paper
Estimating Macroeconomic News and Surprise Shocks

The importance of understanding the economic effects of TFP news and surprise shocks is widely recognized in the literature. This paper examines the ability of the state-of-the-art VAR approach in Kurmann and Sims (2021) to identify responses to TFP news shocks and possibly surprise shocks in theory and practice. When applied to data generated from conventional New Keynesian DSGE models with shock processes that match key TFP moments, this estimator tends to be strongly biased, both in the presence of TFP measurement error and in its absence. This bias worsens in realistically small samples, ...
Working Papers , Paper 2304

Working Paper
The Contribution of Jump Signs and Activity to Forecasting Stock Price Volatility

We document the forecasting gains achieved by incorporating measures of signed, finite and infinite jumps in forecasting the volatility of equity prices, using high-frequency data from 2000 to 2016. We consider the SPY and 20 stocks that vary by sector, volume and degree of jump activity. We use extended HAR-RV models, and consider different frequencies (5, 60 and 300 seconds), forecast horizons (1, 5, 22 and 66 days) and the use of standard and robust-to-noise volatility and threshold bipower variation measures. Incorporating signed finite and infinite jumps generates significantly better ...
Working Papers , Paper 1902

Working Paper
A dynamic network model of the unsecured interbank lending market

The unsecured interbank lending market plays a crucial role in financing business activity, a fact underscored by the market's disruption following the Lehman Brothers failure in September 2008. This event, a defining moment in the global financial crisis, fostered greater uncertainty about counterparty risk, an adverse shock that severely curtailed credit supply, hampered monetary policy, and negatively impacted the real economy. To counteract the consequences of the crisis, central banks became the primary intermediaries for a large portion of the money market. However, a single main ...
Working Papers , Paper 16-3

Working Paper
Is GDP Becoming Obsolete? The 'Beyond GDP' Debate

GDP is a closely watched indicator of the current health of the economy and an important tool of economic policy. It has been called one of the great inventions of the 20th century. It is not, however, a persuasive indicator of individual well-being or economic progress. There have been calls to refocus or replace GDP with a metric that better reflects the welfare dimension. In response, the U.S. agency responsible for the GDP accounts recently launched the GDP and Beyond program. This is by no means an easy undertaking, given the subjective and idiosyncratic nature of much of individual ...
Working Papers , Paper 21-37

Working Paper
Division of Financial Responsibility among Mixed-Gender Couples

This paper uses individuals' self-assessments of their contribution to four household activities to study how mixed-gender couples divide household responsibility. Household responsibility dynamics are characterized according to a three-point ordinal variable, whose distribution is linked to a variety of household demographics via a proportional odds model fit using survey data from both members of 327 couples. The data reveal that household tendencies depend on household demographics, albeit differently across the four activities. For household shopping, gender is the primary determinant of ...
FRB Atlanta Working Paper , Paper 2021-8

Working Paper
Assessing U.S. Aggregate Fluctuations Across Time and Frequencies

We study the behavior of key macroeconomic variables in the time and frequency domain. For this purpose, we decompose U.S. time series into various frequency components. This allows us to identify a set of stylized facts: GDP growth is largely a high-frequency phenomenon whereby inflation and nominal interest rates are characterized largely by low-frequency components. In contrast, unemployment is a medium-term phenomenon. We use these decompositions jointly in a structural VAR where we identify monetary policy shocks using a sign restriction approach. We find that monetary policy shocks ...
Working Paper , Paper 19-6

Report
Money, credit, monetary policy, and the business cycle in the euro area: what has changed since the crisis?

This paper studies the relationship between the business cycle and financial intermediation in the euro area. We establish stylized facts and study their stability during the global financial crisis and the European sovereign debt crisis. Long-term interest rates have been exceptionally high and long-term loans and deposits exceptionally low since the Lehman collapse. Instead, short-term interest rates and short-term loans and deposits did not show abnormal dynamics in the course of the financial and sovereign debt crisis.
Staff Reports , Paper 885

Working Paper
Bayesian Modeling of Time-Varying Parameters Using Regression Trees

In light of widespread evidence of parameter instability in macroeconomic models, many time-varying parameter (TVP) models have been proposed. This paper proposes a nonparametric TVP-VAR model using Bayesian additive regression trees (BART). The novelty of this model stems from the fact that the law of motion driving the parameters is treated nonparametrically. This leads to great flexibility in the nature and extent of parameter change, both in the conditional mean and in the conditional variance. In contrast to other nonparametric and machine learning methods that are black box, inference ...
Working Papers , Paper 23-05

Working Paper
The Contribution of Jump Signs and Activity to Forecasting Stock Price Volatility

We propose a novel approach to decompose realized jump measures by type of activity (finite/infinite) and sign, and also provide noise-robust versions of the ABD jump test (Andersen et al., 2007b) and realized semivariance measures. We find that infinite (finite) jumps improve the forecasts at shorter (longer) horizons; but the contribution of signed jumps is limited. As expected, noise-robust measures deliver substantial forecast improvements at higher sampling frequencies, although standard volatility measures at the 300-second frequency generate the smallest MSPEs. Since no single model ...
Working Papers , Paper 1902

Working Paper
ivcrc: An Instrumental Variables Estimator for the Correlated Random Coefficients Model

We present the ivcrc command, which implements an instrumental variables (IV) estimator for the linear correlated random coefficients (CRC) model. This model is a natural generalization of the standard linear IV model that allows for endogenous, multivalued treatments and unobserved heterogeneity in treatment effects. The proposed estimator uses recent semiparametric identification results that allow for flexible functional forms and permit instruments that may be binary, discrete, or continuous. The command also allows for the estimation of varying coefficients regressions, which are ...
Finance and Economics Discussion Series , Paper 2020-046

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