Threshold cointegration, nonlinearity, and frequency domain causality relationship between stock price and Turkish Lira

Modelling complex asymmetric effects and non-linear relationships between exchange rate and stock prices has challenged classical econometric methods. This study contributes to the relative literature in the following distinct ways. First, we follow a variety of econometric approaches in order to characterize the complex dynamic co-movements between Turkish stock market and exchange rate from January 2003 to December 2018. Secondly, we show that the evidence for asymmetric threshold cointegration in Turkey's financial market can be hidden by following linear time series methodologies. Thirdly, it is also worth noting that the real effective exchange rate, USD-Turkish lira exchange rates, money supply and interest rates have large predictive power for stock price fluctuations at various frequencies. Building on these insights, we claim that asymmetry (nonlinearity) is particularly important in Turkey's financial market because it shows the need for a new pattern of policy measures to prevent financial market crisis risk in Turkey.