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Dynamic Relationship between Crude Oil, Gold and Exchange Rates:The Case of India


Affiliations
1 Assistant Professor, Department of Management Studies, Christ University, Bangalore, Karnataka, India
2 Student, BBA, Department of Management Studies, Christ University, Bangalore, Karnataka, India
     

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Gold and Crude Oil are the most trading commodities in the international market. EURO, USD, JPY and GBP are the four most trading currencies available for the market participants to trade. There are many factors which determine the changes in the Exchange rates. Similarly, change in the Gold prices and Crude Oil prices might impact the changes in the determination of Exchange rates. The study considered US Crude Oil (WTI- West Texas Intermediate) Prices,IB Oil(Indian Crude Basket)and Gold prices to assess the relationship. The study used Multiple Linear Regression Analysis and Granger causality test to analyze the relationship between gold, crude oil and exchange rates. The study found that only gold returns has positive impact on EURO/INR returns. Further granger causality test results revealsuni directional causality from Euro returns to Gold returns, Gold returns to JPY returns, IB Oil returns to JPY Returns and IB Oil returns to USD returns. The market participants are suggested to consider the effect of gold returns and IB Oil performance to take investment or trading decision in forex market (JPY/INR, USD/INR and EURO/INR exchange rates).

Keywords

International Market, Multiple Regression Analysis, Granger Causality Test and Indian Crude Basket.
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  • Adelegan, O. J., and Bak, B. R. (2009). What Determines Bond Market Development in sub-Saharan Africa? IMF Working Paper
  • Agnihotri, A. (2015). Study of various factors affecting return in bond market - A case of India. AIMA Journal of Management and Research, Vol. 9(2).
  • Ameer, R. (2007). What moves the primary stock and bond markets? Influence of macroeconomic factors on bond and equity issues in Malaysia and Korea. Asian Academy of Management Journal of Accounting and Finance, Vol. 3(1), pp. 93-116.
  • Ang, A., and Piazzesi, M. (2003). A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables. Journal of Monetary Economics, Vol. 50, pp. 745–787
  • Asia Index Pvt. Ltd. (2018). Asiaindex.co.in. Retrieved from http://www.asiaindex.co.in/
  • Baele, L., Bekaert, G., and Inghelbrecht, K. (2010). The Determinants of Stock and Bond Return Co-movements. The Review of Financial Studies, Vol 23(6), pp. 2375-2428.
  • Balduzzi, P., Elton, E. J., and Green, T. C. (2001). Economic News and Bond Prices: Evidence from the U.S. Treasury Market. Journal of Financial and Quantitative Analysis, Vol. 36(4), pp. 523-541.
  • Beck, R. (2001). Do Country Fundamentals Explain Emerging Market Bond Spreads? Center for Financial Studies Working Paper.
  • Bekaert, G., Engstrom, E., and Grenadier, S. R. (2010). Stock and Bond returns with Moody Investors. Journal of Empirical Finance, Vol. 17, pp. 867-894
  • Bollerslev, T., Cai, J., and Song, F. M. (2000). Intraday periodicity, long memory volatility, and macroeconomic announcement effects in the US Treasury bond market. Journal of Empirical Finance, Vol 7, pp. 37-55.
  • Burger, J. D., and Warnock, F. E. (2007). Foreign participation in ocal currency bond markets. Review of Financial Economics, Vol. 16, pp. 291–304
  • Chowdhury, I., Bayar, Y., and Kilic, C. (2013). Effect of major Macroeconomic Indicators on Emerging Markets Bond Index. Afyon Kocatepe Üniversitesi, İİBF Dergisi, pp.15-30.
  • Christiansen, C. (2000). Macroeconomic announcement effects on the covariance structure of government bond returns. Journal of Empirical Finance, pp. 479–507.
  • Collin, P., Goldstein, R., and Martin, S. (2001). The Determinants of Credit Spread Changes. The Journal of Finance, Vol. 56(6), pp.2177-2207.
  • Diebold, F. X., Rudebusch, G. D., and Aruoba, S. B. (2006). Macro economy and the yield curve: a dynamic latent factor approach. Journal of Econometrics, Vol. 131, pp. 309-338.
  • F, K., and P, M. K. (2014). The Causal Relationship between the Bond Market Development and Economic Growth in Africa: Case Study of South Africa. Mediterranean Journal of Social Sciences, Vol. 5(3), pp. 126-131.
  • Fair, R. C. (2003). Shock effects on stocks, bonds, and exchange rates. Journal of International and Monetary Finance. Vol. 22(3), pp.307-341.
  • Fredrick, O. (2014). The Effect of Selected Macro-Economic Variables on Bond Market Development in Kenya. DBA Africa Management Review, Vol 4(2), pp. 54-62.
  • Goeij, P. D., and Marquering, W. (2006). Macroeconomic announcements and asymmetric volatility in bond returns. Journal of Banking and Finance, Vol. 30(10), pp. 2659-2680.
  • Indicators (2018). Data.worldbank.org. Retrieved from https://data.worldbank.org/
  • Jonesa, C. M., Lamontb, O., and Lumsdainec, R. L. (1998). Macroeconomic news and bond market volatility. Journal of Financial Economics, Vol. 47, pp. 315-337.
  • Konrad, E. (2009). The impact of monetary policy surprises on asset return volatility: the case of Germany. Swiss Society for Financial Market Research, Vol. 23, pp. 111-135.
  • Li, L. (2002). Macroeconomic Factors and the Correlation of Stock and Bond Return. Yale International Center for Finance.
  • Ludvigson, S. C., and Ng, S. (2009). Macro Factors in Bond Risk Premia. The Review of Financial Studies, Vol. 22, pp. 5028-5067.
  • Maurya, A. K., and Mishra, O. N. (2016). The Macro-Economic Determinants of Corporate Bond Market in India. Pacific Business Review International, Vol 1(1), pp. 163-176.
  • Nair, K. S., and Thenmozhi, M. (2012). Macroeconomic factors and conditional bond volatility: evidence from emerging and developed bond markets. American J. Finance and Accounting. Vol. 2(4), pp. 326-345
  • NSE - National Stock Exchange of India Ltd (2018). Nseindia.com. Retrieved from https://www.nseindia.com/
  • Reserve Bank of India. (2018). Rbi.org.in. Retrieved from https://www.rbi.org.in/
  • Sensarma, R., and Bhattacharyya, I. (2016). The impact of monetary policy on corporate bonds in India. Journal of Policy modeling, Vol. 38(3), pp. 587-602.

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  • Dynamic Relationship between Crude Oil, Gold and Exchange Rates:The Case of India

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Authors

K. S. Manu
Assistant Professor, Department of Management Studies, Christ University, Bangalore, Karnataka, India
Harshita Agarwal
Student, BBA, Department of Management Studies, Christ University, Bangalore, Karnataka, India

Abstract


Gold and Crude Oil are the most trading commodities in the international market. EURO, USD, JPY and GBP are the four most trading currencies available for the market participants to trade. There are many factors which determine the changes in the Exchange rates. Similarly, change in the Gold prices and Crude Oil prices might impact the changes in the determination of Exchange rates. The study considered US Crude Oil (WTI- West Texas Intermediate) Prices,IB Oil(Indian Crude Basket)and Gold prices to assess the relationship. The study used Multiple Linear Regression Analysis and Granger causality test to analyze the relationship between gold, crude oil and exchange rates. The study found that only gold returns has positive impact on EURO/INR returns. Further granger causality test results revealsuni directional causality from Euro returns to Gold returns, Gold returns to JPY returns, IB Oil returns to JPY Returns and IB Oil returns to USD returns. The market participants are suggested to consider the effect of gold returns and IB Oil performance to take investment or trading decision in forex market (JPY/INR, USD/INR and EURO/INR exchange rates).

Keywords


International Market, Multiple Regression Analysis, Granger Causality Test and Indian Crude Basket.

References