Interdependence of Tehran Stock Exchange upon the Oil Price and USD Exchange Rate Return Using Quantile Regression and Time-Frequency Domain Analysis

Authors

Department of Economics, University of Sistan and Baluchestan, Zahedan, Iran

Abstract

Compared to GARCH, ARDL, VAR, and similar methods that are commonly used for stock market analysis and portfolio pricing, the quantile regression has proven to be more advantageous. In this study, we combine the quantile regression with wavelet decomposition to analyze different investment horizons in Tehran Stock Exchange. The discrete wavelet decomposition is used to divide the indices time series into short-term (2-16 days), mid-term (16-128 days), and long-term (128-512 days) horizons. The investment horizons are then accurately studied in a bear, normal, and bull market. Since Iran is an oil-exporting country and its economy is highly impacted by fluctuations in the USD exchange rate return, it is of crucial importance to analyze the effects of oil price and free-market USD exchange rate return on the stock market for investment policy-making and portfolio management. The results demonstrate how the exchange rate return volatility and the OPEC basket price fluctuation affect the stock market. The results illustrate strong evidence on the assumption of a long-term strong positive correlation between TSE and the USD exchange rate return increase.

Keywords

References

Aguiar-Conraria, L., Azevedo, N., & Soares, M. J. (2008). Using Wavelets to Decompose the Time–Frequency Effects of Monetary Policy. Physica A: Statistical Mechanics and Its Applications, 387(12), 2863–2878.
Baur, D. G. (2013). The Structure and Degree of Dependence: A Quantile Regression Approach. Journal of Banking & Finance, 37(3), 786–798.
Caporale, G. M., Hunter, J., & Menla Ali, F. (2014). On the Linkages between Stock Prices and Exchange Rates: Evidence from the Banking Crisis of 2007–2010. International Review of Financial Analysis, 33, 87–103.
Chen, S., & Chen, T. (2012). Untangling the Non‐linear Causal Nexus between Exchange Rates and Stock Prices: New Evidence from the OECD Countries. Journal of Economic Studies, 39(2), 231–259.
Chiang, T. C., & Chen, X. (2016). Stock Returns and Economic Fundamentals in an Emerging Market: An Empirical Investigation of Domestic and Global Market Forces. International Review of Economics & Finance, 43, 107–120.
Chkili, W., & Nguyen, D. K. (2014). Exchange Rate Movements and Stock Market Returns in a Regime-Switching Environment: Evidence for BRICS Countries. Research in International Business and Finance, 31, 46-56.
Chuang, C. -C., Kuan, C. -M., & Lin, H. -Y. (2009). Causality in Quantiles and Dynamic Sock Return–Volume Relations. Journal of Banking & Finance, 33(7), 1351–1360.
Fattahi, S., Soheili, K., & Dehghan Jabarabady, S. (2017). Examination of Contagion in Financial Markets in Iran Using a Combination of Ornstein Uhlenbeck Process and Continuous Wavelet Transform. Journal of Econometric Modelling, 2(4), 33–54.
Gençay, R., Selçuk, F., & Whitcher, B. (2002). An Introduction to Wavelets and Other Filtering Methods in Finance and Economics. Amsterdam: Elsevier.
Hammoudeh, S., & Li, H. (2008). Sudden Changes in Volatility in Emerging Markets: The Case of Gulf Arab Stock Markets. International Review of Financial Analysis, 17(1), 47–63.
Hatemi-J, A. (2003). A New Method to Choose Optimal Lag Order in Stable and Unstable VAR Models. Applied Economics Letters, 10(3), 135–137.
Jiang, Z., & Yoon, S. -M. (2020). Dynamic Co-movement between Oil and Stock Markets in Oil-Importing and Oil-Exporting Countries: Two Types of Wavelet Analysis. Energy Economics, Retrieved from https://www.sciencedirect.com/science/article/pii/S0140988320301754
Koenker, R. W., & D’Orey, V. (1987). Algorithm AS 229: Computing Regression Quantiles. Journal of the Royal Statistical Society. Series C (Applied Statistics), 36(3), 383-393.
Lee, B. S., & Li, M. -Y. L. (2012). Diversification and Risk-adjusted Performance: A Quantile Regression Approach. Journal of Banking & Finance, 36(7), 2157-2173.
Lin, C. H. (2012). The Comovement between Exchange Rates and Stock Prices in the Asian Emerging Markets. International Review of Economics & Finance, 22(1), 161-172.
Mensi, W., Hammoudeh, S., Reboredo, J. C., & Nguyen, D. K. (2014). Do Global Factors Impact BRICS Stock Markets? A Quantile Regression Approach. Emerging Markets Review, 19, 1-17.
Nademi, Y., & Khochiany, R. (2017). Comovement of Stock Market, Foreign Exchange and Gold in Iran: An Analysis of Econophysics. Scientific Journal Management System, 8(31), 149-166.
Ndako, U. B. (2013). Dynamics of Stock Prices and Exchange Rates Relationship: Evidence From Five Sub-Saharan African Financial Markets. Journal of African Business, 14(1), 47-57.
Pan, M. S., Fok, C. W., & Liu, Y. (2007). Dynamic Linkages between Exchange Rates and Stock Prices: Evidence from East Asian Markets. International Review of Economics, 16(4), 503-520.
Rostami, M., Kalantari Bonjar, M., & Noori Jafarabad, D. (2016). Evaluation of the Efficiency of the Motion of the Industry Indexes in Tehran Stock Exchange with a Market Yield of Oil, Gold, Dollar and Euro Using Wavelet Analysis. Journal of Investment Knowledge, 5(17), 227-251.
Roueff, F., & von Sachs, R. (2011). Locally Stationary Long Memory Estimation. Stochastic Processes and Their Applications, 121(4), 813-844.
Sui, L., & Sun, L. (2016). Spillover Effects between Exchange Rates and Stock Prices:Evidence from BRICS around the Recent Global Financial Crisis. Research in International Business and Finance, 36, 459-471.
Sun, W., Rachev, S., Fabozzi, F. J., & Kalev, P. S. (2008). A New Approach to Modeling Co-movement of International Equity Markets: Evidence of Unconditional Copula-Based Simulation of Tail Dependence. Empirical Economics, 36(1), 201-229.
Tang, X., & Yao, X. (2018). Do Financial Structures Affect Exchange Rate and Stock Price Interaction? Evidence from Emerging Markets. Emerging Markets Review, 34, 64-76.
Xiao, J., Zhou, M., Wen, F., & Wen, F. (2018). Asymmetric Impacts of Oil Price Uncertainty on Chinese Stock Returns under Different Market Conditions: Evidence from Oil Volatility Index. Energy Economics, 74, 777-786.
Yang, S.-P. (2017). Exchange Rate Dynamics and Stock Prices in Small Open Economies: Evidence from Asia-Pacific Countries. Pacific-Basin Finance Journal, 46, 337-354.
Zhu, H., Liu, D., Zhang, S., Zhu, Y., Teng, L., & Teng, S. (2016). Solving the Many to Many Assignment Problem by Improving the Kuhn–Munkres Algorithm with Backtracking. Theoretical Computer Science, 618, 30-41.
Iranian Economic Review
Volume 26, Issue 3
September 2022
Pages 667-691

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