Cifter, Atilla and Ozun, Alper (2007): Estimating the Effects of Interest Rates on Share Prices Using Multi-scale Causality Test in Emerging Markets: Evidence from Turkey.
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Abstract
This paper examines the impacts of changes in interest rates on stock returns by using wavelet analysis with Granger causality test. Financial time series in non-coherent markets should be analyzed by advanced methods capturing complexity of the markets and non-linearities in stock returns. As a semi-parametric method, wavelets analysis might be superior to detect the chaotic patterns in the non-coherent markets. By using daily closing values of the ISE 100 Index and compounded interest rates, it is proven that and starting with 9 days time-scale effect interest rate is granger cause of ISE 100 index and the effects of interest rates on stock return increases with higher time-scales. This evidence shows that bond market has significant long-term effect on stock market for Turkey and traders should consider long-term money markets changes as well as short-term changes.
Item Type: | MPRA Paper |
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Institution: | Marmara University |
Original Title: | Estimating the Effects of Interest Rates on Share Prices Using Multi-scale Causality Test in Emerging Markets: Evidence from Turkey |
Language: | English |
Keywords: | Interest rates; Emerging markets; Wavelets; Stock returns; Multi-scale Granger causality |
Subjects: | C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C45 - Neural Networks and Related Topics C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General |
Item ID: | 2485 |
Depositing User: | Atilla Cifter |
Date Deposited: | 03 Apr 2007 |
Last Modified: | 29 Sep 2019 04:31 |
References: | Almasri, A., ve Shukur, G. (2003), “An Illustration of the Causality Relationship Between Government Spending and Revenue Using Wavelets Analysis on Finnish Data”, Journal of Applied Statistics, 30(5), pp. 571-584 Andreou, E., Denise R. and Sensier, M. (2000), "A Comparison of the Statistical Properties of Financial Variables in the USA, UK and Germany Over the Business Cycle," Manchester School Blackwell Publishing, Vol. 68/4 Bollerslev, T. (1986), “Generalized Autoregressive Conditional Heteroskedasticity”, Journal of Econometrics, 31(3). Chew, C. (2001), “The money and income relationship of european countries by time scale decomposition using wavelets”, Preliminary paper, New York University. Choi, J.J., Elyasiani, E. and Kopecky, K.J. (1992), “The Sensitivity Of Bank Stock Returns to Market, Interest, and Exchange Rate Risks”, Journal of Banking and Finance, 16. Cifter, A. (2006), Wavelets Methods in Financail Engeneering: An Application to ISE-30(Turkish), Graduation Project, Institute of Social Sciences, Marmara University Cifter, A. and Ozun, A. (2006), “The effects of International FX markets on domestic currencies using Wavelet Networks: Evidence from emerging markets”, Emerging Markets Finance and Economic Conference, Bilgi University and Global-Eco Finance Dalkır, M. (2004), “A New Approach to Causality in the Frequency Domain”, Economics Bulletin, 3(44), pp. 1-14 Dickey, D.A. and Fuller, W.A. (1981), “Likelihood ratio statistics for autoregressive time series with a unit root”, Econometrica 49, 1057–1072. Ehrhardt, O. and Nowak, E. (2001), “Private Benefits and Minority Shareholder Expropriation–Empirical Evidence from IPOs of German Family-Owned Firms” CFS Working Paper 2001/10. Engle, R.F. (1982), “Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of UK Inflation,” Econometrica, 50,. Evans, M.D. (1998), "Dividend Variability and Stock Market Swings," Review of Economic Studies, 65(4). Fama, E.F. (1981), "Stock Returns, Real Activity, Inflation and Money", Journal of Political Economy, 84. Johansen, S. (1988), “Statistical analysis of cointegration vectors”, Journal of Economic Dynamic and Control, 12, pp. 231-254 Johansen, S., and Juselius, K. (1990), “Maximum likelihood estimation and inference on cointegration-with application to demand for money”, Oxford Bulletin of Economics and Statistics, 52, pp.169-210 Gallegati, M. (2005), A Wavelet Analysis of MENA Stock Markets, Mimeo, Universita Politecnica Delle Marche, Ancona, Italy Gencay, R., Selcuk, F., and Whitcher, B. (2002), An Introduction to Wavelets and Other Filtering Methods in Finance and Economics, Academic Press Gencay R. and Selcuk F. (2004), “Extreme Value Theory and Value at Risk: Relative Performance in Emerging Markets”, International Journal of Forecasting, 20. Granger, C.W.J. (1969), “Investigation causal relationships by econometric models: Cross spectral methods”, Econometrica, 37(3), pp.424-438 Granger, C.W.J. (1988), “Some Recent Developments in a Concept of Causality”, Journal of Econometrics, 39, 199-211. Mandelbrot, B. (1963), “New Methods in Statistical Economics”, Journal of Political Economy, 71. Norsworty, J., Li, D. and Gorener, R. (2000), “Wavelet-based analysis of time series: an export from engineering to finance”, IEEE International Engineering Management Society Conference, Albuquerque, New Mexico. Johansen, S. (1988), “Statistical analysis of cointegration vectors”, Journal of Economic Dynamic and Control, 12, pp. 231-254 Johansen, S. and Juselius, K. (1990), “Maximum likelihood estimation and inference on cointegration-with application to demand for money”, Oxford Bulletin of Economics and Statistics, 52, pp.169-210 Kim, S., and In, H.F. (2003), “The Relationship between Financial Variables and Real Economic Activity: Evidence from Spectral and Wavelet Analyses”, Studies in Nonlinear Dynamic & Econometrics, 7(4) Koop, G., Pesaran, H. H. and Potter, S.M. (1996), “Impulse response analysis in nonlinear multivariate models”, Journal of Econometrics, 74, pp.31-42 Pesaran, H. H. and Shin, Y. (1998), “Generalized impulse response analysis in linear multivariate models”, Economics Letters, 58, pp.17-29 Percival, D.B., and Walden, A.T. (2000), Wavelet Methods for Time Series Analysis, Cambridge University Press Ramsey, J.B., and Lampart, C. (1998) “Decomposition of Economic Relationships by Timescale Using Wavelets: Money and Income” Macroeconomic Dynamics, 2. Ross, S. A. (1977). The Capital Asset Pricing Model (CAPM), Short-sale Restrictions and Related Issues, Journal of Finance, 32/177 Tkacz, G. (2001), “Estimating the Fractional Order of Integration of Interest Rates Using a Wavelet OLS Estimator”, Studies in Nonlinear Dynamics&Econometrics, 5(1), pp. 19-32 Titman, S. and Warga, A. (1989), “Stock Returns As Predictors Of İnterest Rates and Inflation”, Journal of Financial and Quantitative Analysis, 24. Unal, H. and Kane, E.J. (1988), “Off-Balance Sheet Items And The Changing Market Sensitivity of Deposit-Institution Equity Returns”, Journal of Financial Services Research, 1(3). Zhang, C., ve Farley, A. (2004), “A Multiscaling Test of Causality Effects Among International Stock Markets”, Neural, Parellel and Scientific Computations, 12(1), pp. 91-112 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/2485 |