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ESTIMATING THE EFFECT OF INFLATION ON STOCK RETURNS USING REGIMEDEPENDENT IMPULSE RESPONSE ANALYSIS

Yıl 2017, Cilt: 2 Sayı: 2, 1 - 16, 31.12.2017

Öz

Abstract

This study investigates the effect of inflation on stock market in South Africa with regime-dependent impulse

response analysis. Nonlinear regime-dependent interaction is tested with the Markov switching vector autoregression

approach between July, 1995 and July, 2017. The results show that there is a negative impact

of inflation in the short-term, and that a long-term relationship does not exist. This indicates that common

stocks cannot be a hedge against inflation. The other findings relate to regime dependency and nonlinear

correlation. I also found that movements of stock market are strongly regime-dependent. These results are

robust in controlling additional macroeconomic variables.

Kaynakça

  • Akaike, H. “A new look at the statistical model identification.” IEE Transactions on Automatic Control, 19(6) (1974): 716-723.
  • Alagidede P. “Relationship between stock returns and inflation.” Applied Economics Letters. 16(14) (2009): 1403-1408.
  • Alagidede P. and Panagiotidis, T. “Can common stocks provide a hedge against inflation? Evidence from African Countries.” Review of Financial Economics. 19(3) (2010): 91-100.
  • Bodie, Z. “Common Stocks as a Hedge Against Inflation.” Journal of Finance. 27 (1976): 459-470.
  • Boudoukh, J. and Richardson, M. “Stock returns and inflation, A long horizon perspective.” American Economic Review. 83 (1993): 1346-1355.
  • Cifter, A. “Stock Returns, Inflation, and Real Activity in Developing Countries: A Markov-Switching Approach.” Panoeconomicus, 62(1) (2015): 55-76.
  • Dickey, A.D. and Fuller A.W. “ Likelihood ratio statistics for an autoregressive time series with a unit root.” Econometrica, 49 (1981): 1057-72.
  • Ehrmann, M., Ellison, M. and Valla, N. “Regime-dependent impulse response functions in a markov-switching vector autoregressive model.” Economic Letters, 78 (2003): 295–299.
  • Elliott, G., Rothenberg, T.J. and Stock, J.H. “Efficient tests for an autoregressive unit root.” Econometrica, 64 (1996): 813–836.
  • Engle, R.F., and Granger, C.W.J. “Cointegration and error correction: representation, estimation and testing.” Econometrica, 55 (1987): 251–276.
  • Fama, E.F. “Stock Returns, Real Activity, Inflation and Money.” American Economic Review. 71 (1981): 545-565.
  • Fama, E.F. and Schwert G.W. “Asset Returns and Inflation.” Journal of Financial Economics. 5 (1977): 115-146.
  • Fisher, I. The Theory of Interest. New York: Macmillan, 1930.
  • Geske, R. and Roll, R. “The Fiscal and Monetary Linkage between Stock Returns and Inflation.” Journal of Finance, 38 (1983): 1-38.
  • Hamilton, J.D. “A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle.” Econometrica, 57(2) (1989): 357-384.
  • Hamilton, J.D. Regime Switching Models. S.N. Durlauf and L.E. Blume (Ed.). The New Palgrave Dictionary of Economics. Hampshire, Palgrave Macmillan, 2008.
  • Hondroyiannis, G. and Papapetrou, E. “Stock returns and inflation, A markov switching approach.” Review of Financial Economics. 15 (2006): 76-94.
  • Jaffe, F. and Mandelker, G. “The “Fisher Effect” for Risky Assets, An Empirical Investigation.” Journal of Finance, 31 (1976): 447-458.
  • Jarque, C.M. and Bera, A.K. “Efficient tests for normality, homoscedasticity and serial independence of regression residuals,” Economics Letters, 6 (3) (1980): 255–259.
  • Kim, S. and In, F. “The Relationship between Stock Returns and Inflation, New Evidence from Wavelet Analysis.” Journal of Empirical Finance, 12 (2005): 435-444.
  • Krolzig, H.M. Econometric modeling of Markov-switching vector autoregressions using MSVAR for Ox. Discussion Paper, Department of Economics, University of Oxford, 1998.
  • Krolzig, H.M. Predicting Markov-Switching Vector Autoregressive Processes. Oxford University. Working Paper 2000W31, 2000.
  • Krolzig, H.M. Markov Switching Vector Autoregression. Modelling, Statistical Inference and Application to Business Cycle Analysis. Berlin: Springer, 1997.
  • Krolzig, H.M. Impulse-Response Analysis in Markov Switching Vector Autoregressive Models. Economics Department. University of Kent. Keynes College, 2006.
  • Lintner, J. “Inflation and Security Returns.” Journal of Finance. 30 (1975): 259-280.
  • Maghyereh. A. “The long-run relationship between stock returns and inflation in developing countries, Further evidence from a nonparametric cointegration test.” Applied Financial Economics Letters. 2 (2006): 265-273.
  • Neftçi, S.. “Are Economic Time Series Asymmetric Over the Business Cycle?.” Journal of Political Economy, 92 (1984): 307-328.
  • Nelson, C.R. “Inflation and Rates of Return on Common Stocks.” Journal of Finance, 31 (1976): 471-483.
  • Sims, C.A. “Macroeconomics and Reality.” Econometrica, 48(1) (1980): 1-48.
  • Ross, S. “The arbitrage theory of capital asset pricing.” Journal of Economic Theory. 13(3) (1976): 341–360.
  • Zivot, E. and Wang, J. Modeling Financial Time Series with S-PLUS. New York: NY,Springer Science+Business Media, 2006.
Yıl 2017, Cilt: 2 Sayı: 2, 1 - 16, 31.12.2017

Öz

Kaynakça

  • Akaike, H. “A new look at the statistical model identification.” IEE Transactions on Automatic Control, 19(6) (1974): 716-723.
  • Alagidede P. “Relationship between stock returns and inflation.” Applied Economics Letters. 16(14) (2009): 1403-1408.
  • Alagidede P. and Panagiotidis, T. “Can common stocks provide a hedge against inflation? Evidence from African Countries.” Review of Financial Economics. 19(3) (2010): 91-100.
  • Bodie, Z. “Common Stocks as a Hedge Against Inflation.” Journal of Finance. 27 (1976): 459-470.
  • Boudoukh, J. and Richardson, M. “Stock returns and inflation, A long horizon perspective.” American Economic Review. 83 (1993): 1346-1355.
  • Cifter, A. “Stock Returns, Inflation, and Real Activity in Developing Countries: A Markov-Switching Approach.” Panoeconomicus, 62(1) (2015): 55-76.
  • Dickey, A.D. and Fuller A.W. “ Likelihood ratio statistics for an autoregressive time series with a unit root.” Econometrica, 49 (1981): 1057-72.
  • Ehrmann, M., Ellison, M. and Valla, N. “Regime-dependent impulse response functions in a markov-switching vector autoregressive model.” Economic Letters, 78 (2003): 295–299.
  • Elliott, G., Rothenberg, T.J. and Stock, J.H. “Efficient tests for an autoregressive unit root.” Econometrica, 64 (1996): 813–836.
  • Engle, R.F., and Granger, C.W.J. “Cointegration and error correction: representation, estimation and testing.” Econometrica, 55 (1987): 251–276.
  • Fama, E.F. “Stock Returns, Real Activity, Inflation and Money.” American Economic Review. 71 (1981): 545-565.
  • Fama, E.F. and Schwert G.W. “Asset Returns and Inflation.” Journal of Financial Economics. 5 (1977): 115-146.
  • Fisher, I. The Theory of Interest. New York: Macmillan, 1930.
  • Geske, R. and Roll, R. “The Fiscal and Monetary Linkage between Stock Returns and Inflation.” Journal of Finance, 38 (1983): 1-38.
  • Hamilton, J.D. “A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle.” Econometrica, 57(2) (1989): 357-384.
  • Hamilton, J.D. Regime Switching Models. S.N. Durlauf and L.E. Blume (Ed.). The New Palgrave Dictionary of Economics. Hampshire, Palgrave Macmillan, 2008.
  • Hondroyiannis, G. and Papapetrou, E. “Stock returns and inflation, A markov switching approach.” Review of Financial Economics. 15 (2006): 76-94.
  • Jaffe, F. and Mandelker, G. “The “Fisher Effect” for Risky Assets, An Empirical Investigation.” Journal of Finance, 31 (1976): 447-458.
  • Jarque, C.M. and Bera, A.K. “Efficient tests for normality, homoscedasticity and serial independence of regression residuals,” Economics Letters, 6 (3) (1980): 255–259.
  • Kim, S. and In, F. “The Relationship between Stock Returns and Inflation, New Evidence from Wavelet Analysis.” Journal of Empirical Finance, 12 (2005): 435-444.
  • Krolzig, H.M. Econometric modeling of Markov-switching vector autoregressions using MSVAR for Ox. Discussion Paper, Department of Economics, University of Oxford, 1998.
  • Krolzig, H.M. Predicting Markov-Switching Vector Autoregressive Processes. Oxford University. Working Paper 2000W31, 2000.
  • Krolzig, H.M. Markov Switching Vector Autoregression. Modelling, Statistical Inference and Application to Business Cycle Analysis. Berlin: Springer, 1997.
  • Krolzig, H.M. Impulse-Response Analysis in Markov Switching Vector Autoregressive Models. Economics Department. University of Kent. Keynes College, 2006.
  • Lintner, J. “Inflation and Security Returns.” Journal of Finance. 30 (1975): 259-280.
  • Maghyereh. A. “The long-run relationship between stock returns and inflation in developing countries, Further evidence from a nonparametric cointegration test.” Applied Financial Economics Letters. 2 (2006): 265-273.
  • Neftçi, S.. “Are Economic Time Series Asymmetric Over the Business Cycle?.” Journal of Political Economy, 92 (1984): 307-328.
  • Nelson, C.R. “Inflation and Rates of Return on Common Stocks.” Journal of Finance, 31 (1976): 471-483.
  • Sims, C.A. “Macroeconomics and Reality.” Econometrica, 48(1) (1980): 1-48.
  • Ross, S. “The arbitrage theory of capital asset pricing.” Journal of Economic Theory. 13(3) (1976): 341–360.
  • Zivot, E. and Wang, J. Modeling Financial Time Series with S-PLUS. New York: NY,Springer Science+Business Media, 2006.
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Atilla Çifter Bu kişi benim

Yayımlanma Tarihi 31 Aralık 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 2 Sayı: 2

Kaynak Göster

APA Çifter, A. (2017). ESTIMATING THE EFFECT OF INFLATION ON STOCK RETURNS USING REGIMEDEPENDENT IMPULSE RESPONSE ANALYSIS. Aurum Sosyal Bilimler Dergisi, 2(2), 1-16.