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Volatility Spillovers in New Member States: A Bayesian Model
Janhuba, Radek ; Horváth, Roman (advisor) ; Červinka, Michal (referee)
Volatility spillovers in stock markets have become an important phenomenon, especially in times of crises. Mechanisms of shock transmission from one mar- ket to another are important for the international portfolio diversification. Our thesis examines impulse responses and variance decomposition of main stock in- dices in emerging Central European markets (Czech Republic, Poland, Slovakia and Hungary) in the period of January 2007 to August 2009. Two models are used: A vector autoregression (VAR) model with constant variance of resid- uals and a time varying parameter vector autoregression (TVP-VAR) model with a stochastic volatility. Opposingly of other comparable studies, Bayesian methods are used in both models. Our results confirm the presence of volatility spillovers among all markets. Interestingly, we find significant opposite trans- mission of shocks from Czech Republic to Poland and Hungary, suggesting that investors see the Central European exchanges as separate markets. Bibliographic Record Janhuba, R. (2012): Volatility Spillovers in New Member States: A Bayesian Model. Master thesis, Charles University in Prague, Faculty of Social Sciences, Institute of Economic Studies. Supervisor: doc. Roman Horváth Ph.D. JEL Classification C11, C32, C58, G01, G11, G14 Keywords Volatility spillovers,...
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Assessment of the Efficiency of QE in Selected Countries - A TVP-VAR Approach
Bandžak, Denis ; Hlaváček, Michal (advisor) ; Horváth, Roman (referee)
This thesis applies time-varying parameter vector autoregression (TVP-VAR) model with stochastic volatility to assess the effectiveness of quantitative easing in time for the Bank of Japan, the European Central Bank, the Bank of England and the Federal Reserve System between the global financial crisis and COVID-19 pandemic. We find pronounced and statistically significant response of GDP and level of implied stock market volatility to a QE shock whereas the response of CPI is feeble and statistically insignificant. We argue that this does not necessarily imply that there is no effect of QE on CPI but rather that our model was not able to detect it. We believe that this may be due to inflation expectations channel which our model did not account for. This can be reassessed with a TVP-FAVAR model which is more suitable for such an analysis as it can encompass a larger set of variables. Moreover, apart from the US, we report increasing effectiveness of QE in time. This is opposed by the researchers who believe that QE has rather decreasing effectiveness in time because it is more efficient during economic distress and then its efficiency tends to decrease during normal times. We explain this deviation by citing other unconventional monetary tools such as credit easing, forward guidance or negative...
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Volatility Spillovers in New Member States: A Bayesian Model
Janhuba, Radek ; Horváth, Roman (advisor) ; Červinka, Michal (referee)
Volatility spillovers in stock markets have become an important phenomenon, especially in times of crises. Mechanisms of shock transmission from one market to another are important for the international portfolio diversification. Our thesis examines impulse responses and variance decomposition of main stock indices in emerging Central European markets (Czech Republic, Poland, Slovakia and Hungary) in the period of January 2007 to August 2009. Two models are used: A vector autoregression (VAR) model with constant variance of residuals and a time varying parameter vector autoregression (TVP-VAR) model with a stochastic volatility. Opposingly of other comparable studies, Bayesian methods are used in both models. Our results confirm the presence of volatility spillovers among all markets. Interestingly, we find significant opposite transmission of shocks from Czech Republic to Poland and Hungary, suggesting that investors see the Central European exchanges as separate markets. Powered by TCPDF (www.tcpdf.org)
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Volatility Spillovers in New Member States: A Bayesian Model
Janhuba, Radek ; Horváth, Roman (advisor) ; Červinka, Michal (referee)
Volatility spillovers in stock markets have become an important phenomenon, especially in times of crises. Mechanisms of shock transmission from one mar- ket to another are important for the international portfolio diversification. Our thesis examines impulse responses and variance decomposition of main stock in- dices in emerging Central European markets (Czech Republic, Poland, Slovakia and Hungary) in the period of January 2007 to August 2009. Two models are used: A vector autoregression (VAR) model with constant variance of resid- uals and a time varying parameter vector autoregression (TVP-VAR) model with a stochastic volatility. Opposingly of other comparable studies, Bayesian methods are used in both models. Our results confirm the presence of volatility spillovers among all markets. Interestingly, we find significant opposite trans- mission of shocks from Czech Republic to Poland and Hungary, suggesting that investors see the Central European exchanges as separate markets. Bibliographic Record Janhuba, R. (2012): Volatility Spillovers in New Member States: A Bayesian Model. Master thesis, Charles University in Prague, Faculty of Social Sciences, Institute of Economic Studies. Supervisor: doc. Roman Horváth Ph.D. JEL Classification C11, C32, C58, G01, G11, G14 Keywords Volatility spillovers,...
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Explaining the Strength and Efficiency of Monetary Policy Transmission: A Panel of Impulse Responses from a Time-Varying Parameter Model
Matějů, Jakob
This paper analyzes both the cross-sectional and time variation in aggregate monetary policy transmission from nominal short-term interest rates to the price level. Using Bayesian TVP-VAR models where structural monetary policy shocks are identified by a mixture of short-term and sign restrictions, I show that monetary policy transmission has become stronger over the last few decades. This finding is robust across both developed and emerging economies. Monetary policy sacrifice ratios (the output costs of disinflation induced by monetary policy tightening) have decreased over the last four decades. Exploring the cross-country and time variation in monetary policy responses using panel regressions, I show that after a country adopted inflation targeting, monetary transmission became stronger and sacrifice ratios decreased. In periods of banking crises, the transmission from monetary policy interest rate shocks to prices is weaker and the related output costs are higher. Furthermore, countries with higher domestic private credit to GDP feature stronger transmission of interest rate shocks.
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