Volatility spillover between stock relationship with exchange rate and interest rate: An application with multivariate GARCH Models

Nowadays, investors need to consider the relationship between risk and return in order to make an effective investment deision. Volatility, which is a valuation that measures the size of risk is a condition in which any variable shows an increase or decrease relative to a given average value. There are many factors that cause volatility in financial markets. Therefore, it is very important for risk management to model and predict volatility to make effective investment decisions. As a result of the integration and interplay of financial markets with the effect of globalization, the spillover of volatility is emerging between financial variables and markets within the economy. Volatility spread is expressed as the shock or fluctuations in financial markets increase volatility of other financial markets or the effects of financial variables in the economy on other variables. This study aims to determine the volatility spillover between the major share market BIST 100 index relationship with exchange rate and interest rate return series, using weekly data for the period 2005-2018, and to constitute volatility modeling. Correspondingly, the research primarily investigated the exchange rate, interest rate and volatility structure of the BIST 100 index by ARCH-GARCH method. Thereafter, the spillover between them was determined by the Multi-GARCH method. Empirical evidence suggests that there is a spillover of positive directional volatility from the interest rate and exchange rate to the BIST 100 index. Keywords: Volatility, volatility spillover, ARCH-GARCH, Multi-GARCH