Abstract

This paper analyses the link between exchange rates and stock markets in four Central and Eastern European countries. We simultaneously explore the comovements of foreign exchange markets and stock markets at the cross-country level and the link between these two markets within each country while employing a Dynamic Conditional Correlation Mixed Data Sampling (DCC-MIDAS) model. Such an approach to financial markets conveys a much more visible picture of the existing patterns of financial integration between these markets that would otherwise be neglected. The estimates reveal significant differences between the patterns of correlation in our sample countries. First, the paper finds a quite low degree of convergence between foreign exchange markets, with rising correlations during some of the crisis episodes. Second, both the 2004 European Union enlargement and the European sovereign debt crisis underpin the stock market comovements in the Central and Eastern European countries. Third, the correlations between the exchange rate returns and stock markets rise mostly during the European sovereign debt crisis and to a lesser extent during the global financial crisis, revealing signs of contagion and lower portfolio diversification opportunities. These results are of utmost relevance for the process of financial integration and they also have important implications for policy makers, risk management, and investors.

Highlights

  • Exchange rates and stock markets have been some of the most studied areas in finance

  • The flow-oriented model proposes a positive link between the exchange rate and stock market, the portfolio-based model assumes a negative relationship between exchange rate and stock market, while the monetary model indicates a weaker or no link between the two assets [1,2,3]

  • The time varying dynamic correlations between foreign exchange markets and stock markets will be obtained by using the Dynamic Conditional Correlation (DCC)-MIDAS methodology that Colacito, et al proposed [77]

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Summary

Introduction

Exchange rates and stock markets have been some of the most studied areas in finance. Understanding their development patterns and degree of interconnectedness, especially in the light of the last global financial crisis (GFC) and the European sovereign debt crisis (ESDC), has significant relevance for investors and policy makers. Appropriate investment strategies could be devised to reduce portfolio risk, based on possible correlations between different markets. Understanding the time-varying nature of these correlations would help decision makers to react timely to financial shocks through adequate policies, especially in the light of the latest crises that have significantly stressed the financial markets. Given the particularities of Central and Eastern European (CEE) countries in terms of foreign exchange markets and stock markets, the region offers an optimal framework for our analysis

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