Khraief, Naceur and Shahbaz, Muhammad and Kumar Mahalik, Mantu and Bhattacharya, Mita (2020): Movements of oil prices and exchange rates in China and India: New evidence from wavelet-based, non-linear, autoregressive distributed lag estimations.
Preview |
PDF
MPRA_paper_103526.pdf Download (550kB) | Preview |
Abstract
This paper contributes to the existing literature by investigating the impact of oil prices on real exchange rates in China and India. We employ the non-linear, autoregressive-distributed lag model advanced by Shin et al. (2014), which allows both short-run and long-run asymmetry pass-through to a variable of interest. Oil prices and exchange rates are frequently found to be noisy. In order to detect the accurate relationship between oil prices and exchange rates, the maximum overlap, discrete-wavelet transformation is used to remove noise from the original series. The dynamic relationship between the original and de-noised series is compared. Our empirical findings suggest only long-run asymmetric effects of oil prices on exchange rates for both countries; however, after time-series noise removal, the asymmetric long-run effect becomes symmetric for India. Policy implications also are included.
Item Type: | MPRA Paper |
---|---|
Original Title: | Movements of oil prices and exchange rates in China and India: New evidence from wavelet-based, non-linear, autoregressive distributed lag estimations |
English Title: | Movements of oil prices and exchange rates in China and India: New evidence from wavelet-based, non-linear, autoregressive distributed lag estimations |
Language: | English |
Keywords: | Oil price shocks, asymmetric effects, exchange rates, India, China, NARDL |
Subjects: | F - International Economics > F0 - General |
Item ID: | 103526 |
Depositing User: | Dr Muhammad Shahbaz |
Date Deposited: | 19 Oct 2020 15:28 |
Last Modified: | 19 Oct 2020 15:28 |
References: | Aloui, R., Aïssa, M. S. B. and Nguyen, D. K. (2013). Conditional dependence structure between oil prices and exchange rates: A copula-GARCH approach. Journal of International Money and Finance, 32, 719-738. Amano, R. A. and van Norden, S. (1998). Oil prices and the rise and fall of the US real exchange rate. Journal of International Money and Finance, 17(2), 299-316. Banerjee, A., Dolado, J. and Mestre, R. (1998). Error-correction mechanism tests for cointegration in a single-equation framework. Journal of Time Series Analysis, 19, 267-283. Basher, S.A., Haug, A.A. and Sadorsky, P. (2012). Oil prices, exchange rates and emerging stock markets. Energy Economics, 34, 227-240. Beckmann, J. and Czudaj, R. (2013). Oil prices and effective dollar exchange rates. International Review of Economics and Finance, 27, 621-636. Benassy-Quere, A., Mignon, V. and Penot, A. (2007). China and the relationship between the oil price and the Dollar. Energy Policy, 35, 5795-5805. Bhattacharya, R., Patnaik, I. and Shah, A. (2011). Monetary policy transmission in an emerging market setting. IMF Working Paper WP/11/5. International Monetary Fund. Washington D.C. Bjornland, H. C. (2004). The role of the exchange rate as a shock absorber in a small open economy. Open Economies Review, 15, 23-43. Bouoiyour, J., Selmi, R., Tiwari, A. K. and Shahbaz, M. (2015). The nexus between oil price and Russia's real exchange rate: Better paths via unconditional vs conditional analysis. Energy Economics, 51, 54-66. Brahmasrene, T., Huang, J. and Sissoko, Y. (2014). Crude oil prices and exchange rates: causality, variance decomposition and impulse response. Energy Economics, 44, 407-412. British Petroleum (BP) Energy Outlook (2019) at https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/energy-outlook/bp-energy-outlook-2019-country-insight-china.pdf Broadstock, D. C., Hunt, L. C. and Sorrell, S. (2007). Elasticity of substitution studies. UK Energy Research Centre (UKERC) Review of Evidence for the Rebound Effect, Technical Report 3, Ref: UKERC/WP/TPA/2007/011 Brown, S. P. A. and Yücel, M. K. (2002). Energy prices and aggregate economic activity: An interpretative survey. Quarterly Review of Economics and Finance, 42 (2), 193-208. Bruno, M. (1982). Adjustment and structural change under raw material price shocks. Scandinavian Journal of Economics, 84 (2), 199-222. Chen, K.C., Chen, S., and Wu, L. (2009). Price causal relations between China and the world oil markets. Global Finance Journal, 20 (2), 107-118. Chen, S. (2004). Real exchange rate fluctuations and monetary shocks: A revisit. International Journal of Finance and Economics, 9, 25-32. Chen, S. and Chen, H. (2007). Oil prices and real exchange rates. Energy Economics, 29, 390-404. Cheng, H-F., Gutierrez, M., Mahajan, A., Shachmurove, Y. and Shahrokhi, M. (2007). A future global economy to be built by BRICs. Global Finance Journal, 18, 143-156. Coifman, R. R. and Donoho, D. (1995). Time-invariant wavelet de-noising. In: Antoniadis, A., Oppenheim, G. (Eds.), Wavelets and Statistics. Springer- Verlag, NewYork, pp. 125–150. Cong, R. G., Wei, Y. M., Jiao, J. L. and Fan, Y. (2008). Relationships between oil price shocks and stock market: An empirical analysis from China. Energy Policy, 36, 3544-3553. Darby, M. R. (1982). The price of oil and world inflation and recessions. American Economic Review, 72, 738-751. Dauvin, M. (2014). Energy prices and the real exchange rate of commodity-exporting countries. International Economics, 137, 52-72. De Vita, G., and Trachanas, E. (2016). Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India’—A failed replication (negative Type 1 and Type 2). Energy Economics, 56, 150-160. Dornbusch, R. (1973). Devaluation, money and non-traded goods. American Economic Review, 63, 871-80. Du, L., He, Y. and Wei, C. (2010). The relationship between oil price shocks and Chin as macro-economy: A empirical analysis. Energy Policy, 38 (8), 4142-4151. Evans, M. D. and Lothian, J. R. (1993). The response of exchange rates to permanent and transitory shocks under floating exchange rates. Journal of International Money and Finance, 12, 563-586. Faria, J. R., Mollick, A. V., Albuquerque, P. H. and Leon-Ledesma, M. A. (2009). The effect of oil price on China’s exports. China Economic Review, 20, 793-805. Fowowe, B. (2014). Modelling the oil price-exchange rate nexus for South Africa. International Economics, 140, 36-48. Frankel, J. A.and Rose, A. K. (1996). A panel project on purchasing power parity: Mean reversion within and between countries. Journal of International Economics, 40, 209-224. Gencay, R., Selcuk, F. and Whitcher, B. (2002). An Introduction to Wavelets and Other Filtering Methods in Finance and Economics. Academic Press, New York, 2002. Ghosh, S. (2009). Import demand of crude oil and economic growth: Evidence from India. Energy Policy, 37, 699-702. Ghosh, S. (2011). Examining crude oil price-exchange rate nexus for India during the period of extreme oil price volatility. Applied Energy, 88, 1886-1889. Golub, S. S. (1983). Oil prices and exchange rates. The Economic Journal, 93 (371), 576-593. Hamilton, J. D. (2009b). Causes and consequences of the oil shock of 2007-2008. Brookings Papers on Economic Activity, Spring 2009: 215-261. Hamilton, J. D. (2009a). Understanding crude oil prices. Energy Journal, 30, 179-206. 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 Hatemi-JA (2008) Forecasting properties of a new method to choose optimal lag order in stable and unstable VAR models. Applied Economics Letters 15(4):239–243 Hatemi-J, A., (2012). Asymmetric Causality Tests with an Application. Empirical Economics 43(1):447-456. Hong, T. J. (2002). Do Malaysian stock prices respond asymmetrically to interest rate and foreign exchange rate shocks? An empirical evidence. Banker’s Journal Malaysia, 121, 35-42. Hooker, M. A. (1996). What happened to the oil price-macroeconomy relationship? Journal of Monetary Economics, 38, 195-213. Huang, Y. and Feng, G. (2007). The role of oil price shocks on China’s real exchange rate. China Economic Review, 18, 403-416. Internal Energy Agency. (2006) at www.iea.org (accessed on January 30, 2018) Internal Energy Agency. (2009). www.iea.org (accessed on January 30, 2018) International Energy Agency. (2018). OIL 2018: Analysis and Forecasts to 2023. OECD. Jammazi, R., Lahiani, A., & Nguyen, D. K. (2015). A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices. Journal of International Financial Markets, Institutions and Money, 34, 173-187. Ju, K., Zhou, D., Zhou, P. and Wu, J. (2014). Macroeconomic effects of oil price shocks on China: an empirical study based on Hilbert-Huang transform and event study. Applied Energy, 136, 1053-1066. Kaushik, N., Nag, R. and Upadhyaya, K. P. (2004). Oil price and real exchange rate: The case of India. International Business & Economics Research Journal, 13 (4), 809-814. Kirkulak-Uludag, B., & Safarzadeh, O. (2018). The interactions between OPEC oil price and sectoral stock returns: Evidence from China. Physica A: Statistical Mechanics and its Applications. Krugman, P. (1980). Oil and the dollar. NBER Working 554. Kutan, A. M. and Wyzan, M. L. (2005). Explaining the real exchange rate in Kazakhstan, 1996–2003: is Kazakhstan vulnerable to the Dutch disease? Economic Systems, 29, 242-255. Li, X. P., Zhou, C. Y., & Wu, C. F. (2017). Jump spillover between oil prices and exchange rates. Physica A: Statistical Mechanics and its Applications, 486, 656-667. MacDonald, R. (1998). What determines real exchange rates? The long and the short of it. Journal of International Financial Markets, Institutions, and Money, 8, 117–153. McGuirk, A. K. (1983). Oil price changes and real exchange rate movements among industrial countries. International Monetary Fund Staff Papers, 30, 843-883. Narayan PK, Narayan S and Popp S. (2010) Energy consumption at the state level: the unit root null hypothesis from Australia, Applied Energy, 87, 1953–62. Nason G.P., Silverman B.W. (1995) The Stationary Wavelet Transform and some Statistical Applications. In: Antoniadis A., Oppenheim G. (eds) Wavelets and Statistics. Lecture Notes in Statistics, volume 103. Springer, New York, NY, pp.281-300. Novotny, F. (2012). The link between the Brent crude oil price and the US Dollar exchange rate. Prague Economic Papers, 2, 220-232. Olomola, P. A. and Adejumo, A. V. (2006). Oil price shocks and macroeconomic activities in Nigeria. International Research Journal of Finance and Economics, 3, 28-34. Percival, D. B. and Walden, A. T. (2000). Wavelet methods for time series. Cambridge, UK: Cambridge University Press, 2000. Pesaran, M. H., Shin, Y. and Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16, 289-326. Rafiq, S., Salim, R. and Bloch, H. (2009). Impact of crude oil price volatility on economic activities: An empirical investigation in the Thai economy. Resources Policy, 34 (3), 121-132. Ramsey, J. B. (2002). Wavelets in economics and finance: Past and future. New York. Roberts, D., and Ryan, L. (2015). Evidence of speculation in world oil prices. Australian Journal of Management, 40(4), 630-651. Sadorsky, P. (2010). The impact of financial development on energy consumption in emerging economies. Energy Policy, 38, 5, 2528-2535. Shahbaz, M., Bhattacharya, M., & Mahalik, M. K. (2018). Financial development, industrialization, the role of institutions and government: a comparative analysis between India and China. Applied Economics, 50(17), 1952-1977. Shahbaz, M., Tiwari, A. K. and Tahir, M. I. (2015). Analyzing time–frequency relationship between oil price and exchange rate in Pakistan through wavelets. Journal of Applied Statistics, 42 (4), 690-704. Shin, Y., Yu, B. and Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in an ARDL framework. In William C. Horrace and Robin C. Sickles (Eds.), Festschrift in Honor of Peter Schmidt. New York (NY): Springer Science & Business Media, pp. 281-314. Stockman, A. C. (1980). A theory of exchange rate determination. Journal of Political Economy, 88, 673-698. Tang, W., Wu, L. and Zhang, Z. X. (2010). Oil price shocks and their short- and long-term effects on the Chinese economy. Energy Economics, 32, 3-14. Tiwari, A. K., Dar, A. B. and Bhanja, N. (2013b). Oil price and exchange rates: a wavelet based analysis for India. Economic Modelling, 31, 414-422. Tiwari, A. K., Mutascu, M. I. and Albulescu, C. T. (2013a). The influence of the international oil prices on the real effective exchange rate in Romania in a wavelet transform framework. Energy Economics, 40, 714-733. Toda, H.Y. & Yamamoto, T.,( 1995). Statistical Inference in Vector Auto regressions with Possibly Integrated Processes. Journal of Econometrics 66(1-2): 225–250. Wang, Y. (1995). Permanent income and wealth accumulation: A cross-sectional study of Chinese urban and rural households. Economic Development and Cultural Change, 43, 523-550. Wa̧torek, M., Drożdż, S., Oświȩcimka, P., and Stanuszek, M. (2019). Multifractal cross-correlations between the world oil and other financial markets in 2012–2017. Energy Economics, 81, 874-885. Xiaodi, Z. and Li, X. (2004). An empirical analysis of the comparative advantage of Chinese foreign trade products. Chinese Economy, 37, 38-61. Zhang, D., Broadstock, D.C., and Cao, H. (2014). International oil shocks and household consumption in China. Energy Policy, 75, 146-156. Zhang, Y. (2013). The link between the price of oil and the value of the US dollar. International Journal of Energy Economics and Policy, 3(4), 341-351. Zhang, B. and Xu, J. (2010). Oil price shocks and China’s macro-economy: mechanism, effects and policy. Management World, 11(4), 18-27. Zhang, Y., Fan, Y., Tsai, H. and Wei, Y. (2008). Spillover effect of US Dollar exchange rate on oil prices. Journal of Policy Modeling, 30, 973-991. Zhou, S. (1995). The response of real exchange rates to various economic shocks. Southern Economic Journal, 61, 936-954. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/103526 |