Structural Vector Autoregressions with Smooth Transition in Variances : The Interaction Between US Monetary Policy and the Stock Market PDF Download
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Author: Helmut Lütkepohl
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Languages : en
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Author: Helmut Lütkepohl
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Languages : en
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Author: Lutz Kilian
Publisher: Cambridge University Press
ISBN: 1108186874
Category : Business & Economics
Languages : en
Pages : 757
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Book Description
Structural vector autoregressive (VAR) models are important tools for empirical work in macroeconomics, finance, and related fields. This book not only reviews the many alternative structural VAR approaches discussed in the literature, but also highlights their pros and cons in practice. It provides guidance to empirical researchers as to the most appropriate modeling choices, methods of estimating, and evaluating structural VAR models. The book traces the evolution of the structural VAR methodology and contrasts it with other common methodologies, including dynamic stochastic general equilibrium (DSGE) models. It is intended as a bridge between the often quite technical econometric literature on structural VAR modeling and the needs of empirical researchers. The focus is not on providing the most rigorous theoretical arguments, but on enhancing the reader's understanding of the methods in question and their assumptions. Empirical examples are provided for illustration.
Author: Hilde C. Bjørnland
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Languages : en
Pages : 0
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We estimate the interdependence between US monetary policy and the S&P 500 using structural VAR methodology. A solution is proposed to the simultaneity problem of identifying monetary and stock price shocks by using a combination of short-run and long-run restrictions that maintains the qualitative properties of a monetary policy shock found in the established literature (CEE 1999). We find great interdependence between interest rate setting and stock prices. Stock prices immediately fall by 1.5 per cent due to a monetary policy shock that raises the federal funds rate by ten basis points. A stock price shock increasing stock prices by one per cent leads to an increase in the interest rate of five basis points. Stock price shocks are orthogonal to the information set in the VAR model and can be interpreted as non-fundamental shocks. We attribute a major part of the surge in stock prices at the end of the 1990s to these non-fundamental shocks.
Author: Helmut Lütkepohl
Publisher:
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Category :
Languages : en
Pages :
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Author: Giorgio E. Primiceri
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Languages : en
Pages : 0
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Monetary policy and the private sector behavior of the US economy are modeled as a time varying structural vector autoregression, where the sources of time variation are both the coefficients and the variance covariance matrix of the innovations. The paper develops a new, simple modeling strategy for the law of motion of the variance covariance matrix and proposes an efficient Markov chain Monte Carlo algorithm for the model likelihood/posterior numerical evaluation. The main empirical conclusions are: 1) both systematic and non-systematic monetary policy have changed during the last forty years. In particular, long run systematic responses of the interest rate to inflation and unemployment exhibit a trend toward a more aggressive behavior, despite remarkable oscillations; 2) this has had a negligible effect on the rest of the economy. The role played by exogenous non-policy shocks seems much more important than monetary policy in explaining the high inflation and unemployment episodes in recent US economic history.
Author: Ralf Brüggemann
Publisher: Springer Science & Business Media
ISBN: 3642170293
Category : Mathematics
Languages : en
Pages : 226
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1. 1 Objective of the Study Vector autoregressive (VAR) models have become one of the dominant research tools in the analysis of macroeconomic time series during the last two decades. The great success of this modeling class started with Sims' (1980) critique of the traditional simultaneous equation models (SEM). Sims criticized the use of 'too many incredible restrictions' based on 'supposed a priori knowledge' in large scale macroeconometric models which were popular at that time. Therefore, he advo cated largely unrestricted reduced form multivariate time series models, unrestricted VAR models in particular. Ever since his influential paper these models have been employed extensively to characterize the underlying dynamics in systems of time series. In particular, tools to summarize the dynamic interaction between the system variables, such as impulse response analysis or forecast error variance decompo sitions, have been developed over the years. The econometrics of VAR models and related quantities is now well established and has found its way into various textbooks including inter alia Llitkepohl (1991), Hamilton (1994), Enders (1995), Hendry (1995) and Greene (2002). The unrestricted VAR model provides a general and very flexible framework that proved to be useful to summarize the data characteristics of economic time series. Unfortunately, the flexibility of these models causes severe problems: In an unrestricted VAR model, each variable is expressed as a linear function of lagged values of itself and all other variables in the system.
Author: Colin Tissen
Publisher: GRIN Verlag
ISBN: 3668548625
Category : Mathematics
Languages : en
Pages : 24
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Research Paper (undergraduate) from the year 2017 in the subject Mathematics - Applied Mathematics, grade: 8.5, , course: Empirical Econometrics II, language: English, abstract: This paper investigates the effects of monetary policy in the US by comparing a system of equations – estimated from a VECM (vector error correction model) – to a SVAR (structural autoregressive) model. Vector error-correction models are used when there exists long-run equilibrium relation-ships between non-stationary data integrated of the same order. Those models imply that the stationary transformations of the variables adapt to disequilibria between the non-stationary variables in the model. In contrast, SVAR models focus on the contemporaneous interdependence between the variables. The authors apply these two methods on a model with a contractionary monetary policy which affects the short-term interest rate. Following Sims and Zha the authors use a shock to the Treasury Bill rate instead of a shock to the Federal Funds rate. The paper continues as follows. First, a description of the data is given. Secondly, it presents a system of equations built from the LSE approach, aiming at macroeconomic simulations. Thirdly, it compares results obtained from the previous part to those obtained using SVAR impulse response functions (IRFs) identified with sign restrictions. The paper focuses on the impact of the simulated policies or monetary shocks on GDP and its growth rate.
Author: Emanuele Bacchiocchi
Publisher:
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Languages : en
Pages : 0
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A growing line of research makes use of structural changes and different volatility regimes found in the data in a constructive manner to improve the identification of structural parameters in structural vector autoregressions (SVARs). A standard assumption made in the literature is that the reduced form unconditional error covariance matrix varies while the structural parameters remain constant. Under this hypothesis, it is possible to identify the SVAR without needing to resort to additional restrictions. With macroeconomic data, the assumption that the transmission mechanism of the shocks does not vary across volatility regimes is debatable. We derive novel necessary and sufficient rank conditions for local identification of SVARs, where both the error covariance matrix and the structural parameters are allowed to change across volatility regimes. Our approach generalizes the existing literature on 'identification through changes in volatility' to a broader framework and opens up interesting possibilities for practitioners. An empirical illustration focuses on a small monetary policy SVAR of the US economy and suggests that monetary policy has become more effective at stabilizing the economy since the 1980s.
Author: Mirela S. Miescu
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Languages : en
Pages :
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We show that the contemporaneous and longer horizon impulse responses estimated using small-scale Proxy structural vector autoregressions (SVARs) can be severely biased in the presence of information insufficiency. Instead, we recommend the use of a Proxy Factor Augmented VAR (FAVAR) model that remains robust in the presence of this problem. In an empirical exercise, we demonstrate that this issue has important consequences for the estimated impact of monetary policy shocks in the US. We find that the impulse responses of real activity and prices estimated using a Proxy FAVAR are substantially larger and more persistent than those suggested by a small-scale Proxy SVAR.
Author: Miguel Villanueva
Publisher:
ISBN:
Category :
Languages : en
Pages : 37
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Conventional wisdom is that unconventional monetary policy a.k.a. Quantitative Easing (QE) pursued by the Federal Reserve has helped sustain and even boost U.S. stock market prices in the aftermath of the Global Financial Crisis. By design, QE has supported long-term Treasury bond prices and put downward pressure on long term rates; however the link to stock prices is more complicated because other factors operate as well, e.g., the performance of stock markets in the rest of the world, US dollar performance, virtually zero fed funds rate via conventional monetary policy (independent of policies such as QE), and changes in the interaction between economic activity and credit conditions - as measured for instance by the high yield spread along the lines of the financial accelerator theory. This paper presents evidence that these other factors explain most of the variation in stock returns before and after the financial crisis with stable coefficients and that the different rounds of QE explain significantly some of the remaining variation in stock prices. A vector autoregression provides further evidence of the effects of QE on stock returns and its relative importance vis-à-vis other variables via a Pesaran-Shin generalized impulse-response analysis (invariant to the causality ordering). The evidence in this paper is consistent with the boost in stock prices after the Fed actually started tapering in January 2014 because the “fundamentals” were supportive of the stock market. Furthermore, if the positive effects of QE on the stock market are less strong than commonly believed, the negative effects from a gradual shrinking of the Fed's balance sheet may not be as bad as commonly feared.
