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The response of stock market volatility to futures-based measures of monetary policy shocks

Gospodinov, Nikolaj; Jamali, Ibrahim - 2014

In this paper, we investigate the dynamic response of stock market volatility to changes in monetary policy. Using a … vector autoregressive model, our findings reveal a significant and asymmetric response of stock returns and volatility to … monetary policy shocks. Although the increase in the volatility risk premium, futures-trading volume, and leverage appear to …

Persistent link: https://www.econbiz.de/10010395968

Testing for identification in SVAR-GARCH models : reconsidering the impact of monetary shocks on exchange rates

Lütkepohl, Helmut; Milunovich, George - 2015

Changes in residual volatility in vector autoregressive (VAR) models can be used for identifying structural shocks in a … structural VAR analysis. Testable conditions are given for full identification for the case where the volatility changes can be …

Persistent link: https://www.econbiz.de/10010488275

Identifying shocks via time-varying volatility

Lewis, Daniel J. - 2018

An n-variable structural vector auto-regression (SVAR) can be identified (up to shock order) from the evolution of the residual covariance across time if the structural shocks exhibit heteroskedasticity (Rigobon (2003), Sentana and Fiorentini (2001)). However, the path of residual covariances is...

Persistent link: https://www.econbiz.de/10011926201

Robust inference intime-varying structural VAR models : the DC-Cholesky multivariate stochasticvolatility model

Hartwig, Benny - 2020

Cholesky multivariate stochastic volatility model.It establishes that systematically different dynamic restrictions are imposed … divergent when volatility clusters idiosyncratically.It is illustrated that this property is important for empirical …

Persistent link: https://www.econbiz.de/10012250452

Robust inference in time-varying structural VAR models : the DC-cholesky multivariate stochastic volatility model

Hartwig, Benny - 2020

Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are … divergent when volatility clusters idiosyncratically. It is illustrated that this property is important for empirical … multivariate stochastic volatility model is proposed as a robust alternative. …

Persistent link: https://www.econbiz.de/10012424283

Sign restrictions and statistical identification under volatility breaks : simulation based evidence and an empirical application to monetary policy analysis ; conference paper

Herwartz, Helmut; Plödt, Martin - 2014

Apart from a priori assumptions on instantaneous or long run effects of structural shocks, sign restrictions have become a prominent means for structural vector autoregressive (SVAR) analysis. Moreover, second order heterogeneity of systems of times series can be fruitfully exploited for...

Persistent link: https://www.econbiz.de/10010482469

Chapter 20. Term Structure of Uncertainty in the Macroeconomy

Borovička, J.; Hansen, L.P. - In: Handbook of macroeconomics : volume 2, v. 2A-2B SET, (pp. 1641-1696). 2016

Dynamic economic models make predictions about impulse responses that characterize how macroeconomic processes respond to alternative shocks over different horizons. From the perspective of asset pricing, impulse responses quantify the exposure of macroeconomic processes and other cash flows to...

Persistent link: https://www.econbiz.de/10014024262

The effect of investors' confidence on monetary policy transmission mechanism : a Multivariate GARCH approach

Guerello, Chiara - In: The North American journal of economics and finance : a … 37 (2016), pp. 248-266

Persistent link: https://www.econbiz.de/10011672962

Financial disruptions and heightened uncertainty : a case for timely policy action

Nalban, Valeriu; Smadu, Andra - 2020

Persistent link: https://www.econbiz.de/10012231025

Structural vector autoregressions with smooth transition in variances : the interaction between US monetary policy and the stock market

Lütkepohl, Helmut; NetŠunajev, Aleksei - 2014

In structural vector autoregressive analysis identifying the shocks of interest via heteroskedasticity has become a standard tool. Unfortunately, the approaches currently used for modelling heteroskedasticity all have drawbacks. For instance, assuming known dates for variance changes is often...

Persistent link: https://www.econbiz.de/10010361372