THE EFFECT OF INTEREST AND INFLATION RATES ON STOCK RETURNS: QUANTILE REGRESSION ANALYSIS FOR TÜRKIYE
Öz
Fama's "proxy" hypothesis and Liquidity Preference Theory suggest that there is an inverse relationship
between interest and inflation rates and stock prices/returns. On the other hand, according to the Fisher
hypothesis suggests that there is a positive interaction between the stock market returns and inflation rate.
The increase in the interest rate, on the one hand, due to the increase in the discount rate and, on the
other hand, due to the alternative cost of investment, reduces the interest towards the stock market and
increases the tendency towards the bond market, causing share prices to fall. However, it is seen that the
relationships in question are far from certain, and the findings obtained from different samples with
different methods give results that do not match the expectations implied by the hypotheses.
The nexus between the stock market and interest and inflation rates in Türkiye, which has been faced
with high interest rates and inflation for many years except short-term periods, has been examined using
different time series methods in the empirical literature. In this study, the subject is investigated in a
different way through the Quantile Regression (QR) method. In the study, where the effect of the nominal
interest rate on stock prices was examined by dividing it into two components: real interest and inflation
rates, a four-fold sub-sector distinction was made, namely service, financial, industrial and technology
indices. When it comes to the effect of nominal and real interest rates on returns in QR estimates, it is
seen that the service and industrial sectors differ in terms of both tail and sign. The similarities between
Least Squares estimates and QR estimates are striking. However, the potential of the volatility level of
variables to create differentiation in relationships is also a point that should not be overlooked.
Anahtar Kelimeler
Stock market, interest rate, expected inflation rate, quantile regression
Kaynakça
- Akkaya, M. (2022), “A case on volatility and volatility spillover in the Turkey’s foreign exchange market”, Alanya Academic Review Journal, 6 (3), 2707-2719. (In Turkish)
- Akkum, T. and Vuran, B. (2005), “The analysis of macroeconomic factors which may affect stock returns in the Turkish capital market by arbitrage pricing theory”, İktisat, İşletme ve Finans, 20 (233), 28-45. (In Turkish)
- Aktürk, H. (2016), “Do stock returns provide a good hedge against inflation? An empirical assessment using Turkish data during periods of structural change”, International Review of Economics and Finance, 45, 230–246.
- Allen, D. E., Singh, A. K. and Powell, R. (2013), “Analysing the return distributions of Australian stocks: the CAPM, factor models and quantile regressions”, Global Business and Economics Review, 15 (1), 88-109.
- Altıntaş, H. and Tombak, F. (2011), “Econometric analysis of the relationship between stock prices and macroeconomic variables in Turkey: 1987-2008”, Paper presented at EconAnadolu 2011: Anadolu International Conference in Economics II, June 15-17, 2011, Eskişehir, Turkey. (In Turkish)
- Bai, J. and Perron, P. (2003), “Computation and analysis of multiple structural change models”, Journal of Applied Econometrics, 18 (1), 1–22.
- Buchinsky, M. (1994), “Changes in the U.S. wage structure 1963-1987: Application of quantile regression”, Econometrica, 62 (2), 405-458.
- Buchinsky, M. (1998), “Recent advances in quantile regression models: A practical guideline for empirical research”, The Journal of Human Resources, 33 (1), 88-126.
- Campbell, J. Y., Lo, A. W. and MacKinlay, A. C. (2012), The Econometrics of Financial Markets, Princeton University Press, New Jersey, USA.
- Canöz, İ. and Yiğit, F. (2022), “Asymmetric effects of selected macroeconomic variables on ISE100 index”, Journal of Yasar University, 17/65, 39-56. (In Turkish)