Oil prices, stock market returns and volatility spillovers: Evidence from Turkey

2020 ◽  
Vol 42 (3) ◽  
pp. 597-614 ◽  
Author(s):  
Nuket Kirci Cevik ◽  
Emrah I. Cevik ◽  
Sel Dibooglu
2020 ◽  
Vol 11 (6) ◽  
pp. 1
Author(s):  
Salem Alshihab ◽  
Nayef AlShammari

This paper examines the impact of fluctuations in the price of oil on Kuwaiti stock market returns for the month-to-month period of 2000 to 2020. The Augmented Dickey-Fuller (ADF) test for stationarity, the error correction model (ECM), and various cointegration test techniques were used to examine the estimated model. In an oil-based economy like Kuwait, the exposure to oil prices seems to affect the performance of the country’s stock market. Our main findings related to the long run showed that the price of oil is cointegrated with stock market returns. Interestingly, our ECM examination confirmed that changes in Kuwaiti stock market returns are only affected by oil price fluctuations in the short run. Further strategies are needed to better stabilize Kuwait’s capital market. This equilibrium can be achieved by pursuing more stability in other macroeconomic factors and providing a solid legal independence for the country’s financial market.


2016 ◽  
Vol 20 (4) ◽  
pp. 371-383 ◽  
Author(s):  
Hsiang-Hsi LIU ◽  
Sheng-Hung CHEN

This paper addresses the interaction between interest rates and the significant increases in both Taiwanese house and stock market prices seen in recent years. Changes in house prices impact banks’ nonperforming loans, whereas changes in interest rates directly influence the ability of individuals and businesses to pay loan interest, accentuating the co-movements between house and stock mar-ket prices. We investigate the nonlinear relations and volatility spillovers among house prices, interest rates and stock market prices using monthly data from January 1985 to March 2009 for Taiwan. We find that the Smooth Transition Vector Error Correction GARCH (STVEC-GARCH) model has the best forecasting ability based on goodness of fit tests while showing a nonlinear and co-integrated relation among the three variables. Specifically, house price leads stock market returns when the interest rate is led by either house price or stock market returns. The volatility of stock market returns has significant impacts on interest rates, implying that borrowers should be aware of stock market fluctuations and thus strengthen their risk management because of unexpected changes.


2017 ◽  
Vol 24 (2) ◽  
pp. 167-184 ◽  
Author(s):  
Rebecca Stuart

This article studies the relationship between the Irish and London stock markets over the period 1869 to 1929, using monthly data on capital gains. A bivariate GARCH model shows that there were significant volatility spillovers from the London to the Irish market, but not vice versa. This suggests that shocks originating in London were transmitted to Ireland, but that the reverse did not occur. Furthermore, the time-varying correlation indicates that the co-movement between London and Ireland declined during the Irish independence struggle and the establishment of the Irish Free State. The correlation appears to stabilise in the late 1920s.


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