This study investigates causal dynamics between crude oil prices and exchange rates in Czech Republic, Poland and Hungary by employing monthly data from the beginning of flexible exchange regime in each country to December 2011. The study benefits from the recent advance in the time series econometric analysis and carries out linear causality, non-linear causality, volatility spillover and frequency domain causality tests. The frequency domain causality analysis results imply that oil price fluctuations affect real exchange rates in the long run in Poland and Czech Republic. On the other hand, frequency domain causality test results indicate that oil price fluctuations do not affect exchange rate in any period in Hungary despite its economy?s high imported energy dependency.

In this study, we aim to investigate the relationship between interest rate and inflation rate in the context of the Fisher effect hypothesis for Fragile five economies. In this regard, we employ recently developed panel co-integration and panel causality test methods. The bi-directional causal relation between interest rate and inflation rate exists only in Brazil and Indonesia. On the other hand, there is no causation linkage in India. Results imply that Fisher effect exists only in Brazil and Indonesia.

In this study, we aim to investigate the impacts of credit default swaps (CDS) premium as a risk financial indicator on the fluctuations of value of the Turkish lira against the Euro. We try to answer the following questions: Is the CDS premium change among the drivers of EUR/TL exchange rate and what are the possible effects of CDS premium volatility on EUR/TL exchange rate stability in different conditions? In this regard, we developed a MS-VAR regime change model and asymmetric, frequency domain and rolling windows causality analysis methods. Results obtained from all tests imply that risk premium is partially a driver of the EUR/TL exchange rate between the years 2009 and 2015.