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Macroeconomic Responses of Emerging Market Economies to Oil Price Shocks: Analysis by Region and Resource Profile
Togonidze, S. ; Kočenda, Evžen
This study employs a vector autoregressive (VAR) model to analyse how oil price shocks affect macroeconomic fundamentals in emerging economies. Findings from existing literature remain inconclusive how macroeconomic variables fare towards shocks, especially in emerging economies. The objective of our study is to uncover if analysis by region (Latin America and the Caribbean, East Asia and the Pacific, Europe, and Central Asia) and resource intensity of economies (oil exporters, oil importers, minerals exporters, and less resource intensive). Our unique approach forms part of our contribution to the literature. We find that Latin America and the Caribbean are least affected by oil price shocks, while in East Asia and the Pacific the response of inflation and interest rate to oil price shocks is positive, and output growth is negative. Our analysis by resource endowment fails to show oil price shocks’ ability to explain huge variations in macroeconomic variables in oil importing economies. Further sensitivity analysis using US interest rates as an alternative source of external shocks to emerging economies establishes a significant response of interest rate responses to US interest rate in Europe and Central Asia, and in inflation in Latin America and the Caribbean. We also find that regardless of resource endowment, the response of output growth and capital to a positive US interest rate shock is negative and significant in EMs. Our results are persuasive that resource intensity and regional factors impact the responsiveness of emerging economies to oil price shocks, thus laying a basis for policy debate.\n
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Risk Aversion, Financial Stress and Their Non-Linear Impact on Exchange Rates
Adam, Tomáš ; Benecká, Soňa ; Matějů, Jakub
This paper shows how the reaction of selected emerging CEE currencies to increased uncertainty depends on market sentiment in a core advanced economy or even on the global scale. On the example of the Czech koruna, a highly stylized model of portfolio allocation between EUR- and CZK-denominated assets suggests the presence of two regimes characterized by different reactions of the exchange rate to increased stress in the euro area. The “diversification" regime is characterized by appreciation of the koruna in reaction to an increase in the expected variance of EUR assets, while in the “flight to safety" regime, the koruna depreciates in response to increased variance. We suggest that the switch between regimes may be related to changes in risk aversion, driven by the actual level of strains in the financial system as captured by financial stress indicators. Using the Bayesian Markov-switching VAR model, the presence of these regimes is identified in the case of the Czech koruna and to a lesser extent in the case of the Polish zloty and the Hungarian forint. We find that a slight increase in euro area financial stress causes the koruna to appreciate, but as financial market tensions intensify (and investors’ risk aversion increases), the Czech currency depreciates in response to a financial stress shock.
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Kvantitativní analýza hospodářského cyklu v České republice
Bocák, Petr ; Pošta, Vít (advisor) ; Potužák, Pavel (referee)
The aim of this thesis is to estimate monthly probability that the Czech economy is in a recession. For this purpose, I construct indexes of coincident and leading variables from multiple time series by Maximum Likelihood. Changes in coincident index are preceded by changes in the leading index by almost one year for peaks and about one month for troughs on average. To assess the probability of recession, I estimate multiple mixture models for growth rates of coincident index focusing on Markov-Switching specification for the latent business cycle process. I found that the two-state Markov-Switching AR (1) is superior to other models based on information criteria. Lagged values of leading index further improve the model fit but the model provides less clear signals of recessions compared to models based solely on coincident index.
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