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2019 | 53 | nr 3 | 85--92
Tytuł artykułu

New Financial Markets and Their Impact on Raw Material Prices

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The purpose of the study was to determine the impact of the Chinese financial market, which is a new market, on the exchange rates of commodity currencies and, thus, the prices of raw materials. For this purpose, an autoregressive distributed lag model (ARDL) was used. The results indicate that the Chinese stock market and futures market for the yuan (the Chinese Yuan Non-Deliverable Forward Transactions; CNY NDF market) had a significant impact on commodity currencies before the global financial crisis in 2008/09, then the effect widened to include more commodity currencies in the post-crisis period. Further evidence suggests that the CNY NDF market had a greater impact on commodity currencies than the Chinese stock market. Despite the significant position of the Chinese economy, research also indicates that the impact of Chinese financial markets on commodity currencies (raw material prices) is weaker than the impact of the US stock market and US dollar market.(original abstract)
Rocznik
Tom
53
Numer
Strony
85--92
Opis fizyczny
Twórcy
autor
  • University of Warmia and Mazury in Olsztyn, Poland
  • University of Warmia and Mazury in Olsztyn, Poland
Bibliografia
  • Bodart, V., Candelon, B., & Carpantier, J. (2012). Real exchanges rates in commodity producing countries: A reappraisal. Journal of International Money and Finance, 31(6), 1482-1502. doi:10.1016/j.jimonfi.2012.02.012
  • Cashin, P., Céspedes, L.F., & Sahay, R. (2004). Commodity currencies and the real exchange rate. Journal of Development Economics, 75(1), 239-268. doi:10.1016/j.jdeveco.2003.08.005
  • Chen, Y.C. (2005). Exchange rates and fundamentals: Evidence from commodity currencies. University of Washington Working Paper. Retrieved from http://faculty.washington.edu/yuchin/Papers/ERF_ychen.pdf [access: 10.02.2019].
  • Dauvin, M. (2014). Energy prices and the real exchange rate of commodity-exporting countries. The International Economy, 137, 52-72. doi:10.1016/j.inteco.2013.11.001
  • Ferraro, D., Rogoff, K., & Rossi, B. (2015). Can oil prices forecast exchange rates? An empirical analysis of the relationship between commodity prices and exchange rates. Journal of International Money and Finance, 54, 116-141. doi:10.1016/j.jimonfi.2015.03.001
  • Friedman, M. (1951). Commodity-reserve currency. Journal of Political Economy, 59(3), 203-232.
  • ^Hayek, F.A. (1943). A commodity reserve currency. The Economic Journal, 53(210-211), 176-184.
  • Liu, L. G., & Pauwels, L. (2012). Do external political pressures affect the Renminbi exchange rate? Journal of International Money and Finance, 31, 1800-1818. doi:10.1016/j.jimonfi.2012.04.001
  • Meese, R., & Rogoff, K. (1983). Empirical exchange rate models of the seventies: Do they fi out of sample? Journal of International Economics, 14(1-2), 3-24. doi:10.1016/0022-1996(83)90017-X
  • Pershin, V., Molero, J.C., & Gracia, D. (2016). Exploring the oil prices and exchange rates nexus in some African economies. Journal of Policy Modeling, 38(1), 166-180.doi:10.1016/j.jpolmod.2015.11.001
  • Pesaran, M.H., & Shin, Y. (1996). Cointegration and speed of convergence to equilibrium. Journal of Econometrics, 71, 117-143. doi:10.1016/0304-4076(94)01697-6
  • Pesaran, M.H., & Smith, R. (1998). Structural analysis of cointegration VARs. Journal of Economic Surveys, 12(5), 471-505. doi:10.1111/1467-6419.00065
  • Pesaran, M.H., Shin, Y., & Smith, R. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326. doi:10.1002/jae.616
  • Zhang, H.J., Dufour, J.M., & Galbraith, J.W. (2016). Exchange rates and commodity prices: Measuring causality at multiple horizons. Journal of Empirical Finance, 36, 100-120. doi:10.1016/j.jempfi.2015.10.005
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171574600

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