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Original Articles

Commodity currencies and commodity prices: modelling static and time-varying dependence

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References

  • Abramowitz, M., and I. Stegun. 1972. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover.
  • Aloui, R., M. S. B. Assa, and D. K. Nguyen. 2013. “Conditional Dependence Structure Between Oil Prices and Exchange Rates: A Copula-Garch Approach.” Journal of International Money and Finance 32: 719–738. doi:10.1016/j.jimonfin.2012.06.006.
  • Amano, R. A., and S. van Norden. 1995. “Terms of Trade and Real Exchange Rates: The Canadian Evidence.” Journal of International Money and Finance 14 (1, February): 83–104. doi:10.1016/0261-5606(94)00016-T.
  • Andersen, T. G., and T. Bollerslev. 1998. “Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts.” International Economic Review 39 (4): 885–905. doi:10.2307/2527343.
  • Aussenegg, W., and C. Cech. 2009. “Simple Time-Varying Copula Estimation.” In Book: Mathematical, Econometrical and Computational Methods in Finance and Insurance, edited by Barczak, A. S. and E. Dziwok, 9–20. Katowice: Publisher of the Karol Adamiecki University of Economics in Katowice.
  • Barndorff-Nielsen, O. 1977. “Exponentially Decreasing Distributions for the Logarithm of Particle Size.” Proceedings of the Royal Society London A 353: 401–419. doi:10.1098/rspa.1977.0041.
  • Barndorff-Nielsen, O. 1994. “Normal-Inverse Gaussian Processes and the Modelling of Stock Returns.” Issue 300 of Research Reports. Aarhus: Department of Theoretical Statistics, Institute of Mathematics, University of Aarhus.
  • Barndorff-Nielsen, O., and R. Stelzer. 2005. “Absolute Moments of Generalized Hyperbolic Distributions and Approximate Scaling of Normal Inverse Gaussian Levy Processes.” Scandinavian Journal of Statistics 32: 617–637. doi:10.1111/sjos.2005.32.issue-4.
  • Benediktsdottir, P., and C. Scotti. 2009. “Exchange Rates Dependence: What Drives It?” International Finance Discussion Papers Number 969, Board of Governors of the Federal Reserve System (U.S.).
  • Breymann, W., A. Dias, and P. Embrechts. 2003. “Dependence Structures for Multivariate High-Frequency Data in Finance.” Quantitative Finance 3: 1–14. doi:10.1080/713666155.
  • Chan, K., Y. Tse, and M. Williams. 2011, March. “The Relationship between Commodity Prices and Currency Exchange Rates: Evidence from the Futures Markets.” In Commodity Prices and Markets, East Asia Seminar on Economics, Volume 20. NBER Chapters. 47–71. National Bureau of Economic Research, USA.
  • Chen, Y.-C., and K. Rogoff. 2003. “Commodity Currencies.” Journal of International Economics 60 (1, May): 133–160. doi:10.1016/S0022-1996(02)00072-7.
  • Chen, Y.-C., K. S. Rogoff, and B. Rossi. 2010. “Can Exchange Rates Forecast Commodity Prices?.” The Quarterly Journal of Economics 125 (3): 1145–1194. doi:10.1162/qjec.2010.125.3.1145.
  • Cherubini, U., E. Luciano, and W. Vecchiato. 2004. “Copula Methods in Finance.” Wiley Finance Series. Chichester: Wiley.
  • Clements, K. W., and R. Fry. 2008. “Commodity Currencies and Currency Commodities.” Resources Policy 33 (2): 55–73. doi:10.1016/j.resourpol.2007.10.004.
  • Dias, A. 2004. “Copula Inference for Finance and Insurance.” Doctoral thesis ETH No. 15283. Zurich: Swiss Federal Institute of Technology.
  • Dias, A., and P. Embrechts. 2010. “Modelling Exchange Rate Dependence Dynamics at Different Time Horizons.” Journal of International Money and Finance 29(8): 1687-1705.
  • Diebold, F. X., and K. Yilmaz. 2012. “Better to Give than to Receive: Predictive Directional Measurement of Volatility Spillovers.” International Journal of Forecasting 28: 57–66. doi:10.1016/j.ijforecast.2011.02.006.
  • Eberlein, E., and U. Keller. 1995. “Hyperbolic Distributions in Finance.” Journal of Business 1: 281–299.
  • Fang, H., K. Fang, and S. Kotz. 2002. “The Meta-Elliptical Distributions with Given Marginals.” Journal of Multivariate Analysis 82 (1): 1–16. doi:10.1006/jmva.2001.2017.
  • Fengler, M., and O. Okhrin. 2016. “Managing Risk with a Realized Copula Parameter.” Computational Statistics & Data Analysis 100: 131–152. doi:10.1016/j.csda.2014.07.011.
  • Ferraro, D., K. Rogoff, and B. Rossi. 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 (June): 116–141. doi:10.1016/j.jimonfin.2015.03.001.
  • Frahm, G., M. Junker, and A. Szimayer. 2003. “Elliptical Copulas: Applicability and Limitations.” Statistics & Probability Letters 63: 275–286. doi:10.1016/S0167-7152(03)00092-0.
  • Garcia, R., J. Contreras, M. van Akkeren, and J. Garcia. 2005. “Spillover Effects in Energy Futures Markets.” IEEE Transactions on Power Systems 20: 867–874. doi:10.1109/TPWRS.2005.846044.
  • Hu, L. 2006. “Dependence Patterns across Financial Markets: A Mixed Copula Approach.” Applied Financial Economics 16: 717–729. doi:10.1080/09603100500426515.
  • Hu, W., and A. Kercheval. 2007. “Risk Management with Generalized Hyperbolic Distributions.” FEA ’07 Proceedings of the Fourth IASTED International Conference on Financial Engineering and Applications, 19–24. Anaheim, CA: ACTA Press.
  • Hult, H., and F. Lindskog. 2002. “Multivariate Extremes, Aggregation and Dependence in Elliptical Distributions.” Advances in Applied Probability 34: 587–608. doi:10.1017/S0001867800011770.
  • Hurst, S., and E. Platen. 1997. “The Marginal Distributions of Returns and Volatility.” IMS Lecture Notes - Monograph Series 31: 301–314. Hayward, CA: Institute of Mathematical Statistics.
  • Ignatieva, K., and E. Platen. 2010. “Modelling Co-Movements and Tail Dependency in the International Stock Market via Copulae.” Asia-Pacific Financial Markets 17: 261–302. doi:10.1007/s10690-010-9116-2.
  • Ignatieva, K., E. Platen, and R. Rendek. 2011. “Using Dynamic Copulae for Modeling Dependency in Currency Denominations of a Diversified World Stock Index.” Journal of Statistical Theory and Practice 5 (3): 425–452. doi:10.1080/15598608.2011.10412039.
  • Ignatieva, K., and S. Trück. 2016. “Modeling Spot Price Dependence in Australian Electricity Markets with Applications to Risk Management.” Computers & Operations Research 66: 415–433. doi:10.1016/j.cor.2015.07.019.
  • Issa, R., R. Lafrance, and J. Murray. 2008. “The Turning Black Tide: Energy Prices and the Canadian Dollar.” Canadian Journal of Economics 41 (3, August): 737–759. doi:10.1111/j.1540-5982.2008.00483.x.
  • Joe, H. 1993. “Parametric Families of Multivariate Distributions with Given Margins.” Journal of Multivariate Analysis 46 (2): 262–282. doi:10.1006/jmva.1993.1061.
  • Joe, H. 1997. Multivariate Models and Dependence Concepts. London: Chapman & Hall.
  • Jørgensen, B. 1982. Statistical Properties of the Generalized Inverse Gaussian Distribution, Lecture Notes in Statistics. New York: Springer-Verlag.
  • Ketterer, J. 2012. “Designing Carbon and Energy Markets to Encourage Climate Change Mitigation.” PhD thesis, Ludwig-Maximilians-Universitaet Muenchen.
  • Kim, W. 2014. “Dependence Structure of Korean Financial Markets Using Copula-Garch Model.” Computational Statistics and Data Analysis 21 (5): 445–459.
  • King, M., and S. Wadhwani. 1990. “Transmission of Volatility between Stock Markets.” Review of Financial Studies 3: 5–33. doi:10.1093/rfs/3.1.5.
  • Lin, S., and M. Tamvakis. 2001. “Spillover Effects in Energy Futures Markets.” Energy Economics 23: 43–56. doi:10.1016/S0140-9883(00)00051-7.
  • Longin, F., and B. Solnik. 2001. “Extreme Correlation of International Equity Markets.” The Journal of Finance 56: 649–676. doi:10.1111/0022-1082.00340.
  • Madan, D., and E. Seneta. 1990. “The Variance Gamma (V.G.) Model for Share Market Returns.” The Journal of Business 63: 511–524. doi:10.1086/jb.1990.63.issue-4.
  • McLeish, D. L., and C. G. Small. 1988. “The Theory and Applications of Statistical Inference Functions.” Lecture Notes in Statistics. Vol. 44. New York: Springer-Verlag.
  • McNeil, A., R. Frey, and P. Embrechts. 2005. “Quantitative Risk Management: Concepts, Techniques, and Tools.” Princeton Series in Finance. Princeton, NJ: Princeton University Press.
  • Meese, R., and K. Rogoff. 1983a. “Empirical Exchange Rate Models of the Seventies. Do They Fit Out of Sample?” Journal of International Economics 14: 3–24. doi:10.1016/0022-1996(83)90017-X.
  • Meese, R., and K. Rogoff. 1983b. “The Out-Of-Sample Failure of Empirical Exchange Rates: Sampling Error or Misspecification?” In Exchange Rates and International Macroeconomics, edited by Frenkel, J., 67–105. Chicago: NBER and University of Chicago Press.
  • Misiorek, A., S. Trueck, and R. Weron. 2006. “Point and Interval Forecasting of Spot Electricity Prices: Linear Vs. Non-Linear Time Series Models.” Studies in Nonlinear Dynamics and Econometrics 10 (3), 1-36.
  • Morana, C. 2001. “A Semiparametric Approach to Short-Term Oil Price Forecasting.” Energy Economics 23: 325–338. doi:10.1016/S0140-9883(00)00075-X.
  • Nelsen, R. 1998. An Introduction to Copulas. New York: Springer-Verlag.
  • Patton, A. 2002. “Modelling Time-Varying Exchange Rate Dependence Using the Conditional Copula.” Working paper 01-09. San Diego, CA: University of California San Diego.
  • Patton, A. J. 2006. “Modelling Asymmetric Exchange Rate Dependence.” International Economic Review 47 (2): 527–556. doi:10.1111/iere.2006.47.issue-2.
  • Platen, E., and R. Rendek. 2008. “Empirical Evidence on Student-T Log-Returns of Diversified World Stock Indices.” Journal of Statistical Theory and Practice 2: 233–251. doi:10.1080/15598608.2008.10411873.
  • Praetz, P. D. 1972. “The Distribution of Share Price Changes.” The Journal of Business 45: 49–55. doi:10.1086/jb.1972.45.issue-1.
  • Ramchand, L., and R. Susmel. 1998. “Volatility and Cross Correlation across Major Stock Markets.” Journal of Empirical Finance 5: 397–416. doi:10.1016/S0927-5398(98)00003-6.
  • Reboredo, J. C. 2012. “Modelling Oil Price and Exchange Rate Co-Movements.” Journal of Policy Modeling 34 (3): 419–440. doi:10.1016/j.jpolmod.2011.10.005.
  • Reboredo, J. C., and M. A. Rivera-Castro. 2013. “A Wavelet Decomposition Approach to Crude Oil Price and Exchange Rate Dependence.” Economic Modelling 32 (C): 42–57. doi:10.1016/j.econmod.2012.12.028.
  • Rossi, B. 2013. “Exchange Rate Predictability.” Journal of Economic Literature 51: 1063–1119. doi:10.1257/jel.51.4.1063.
  • Silvennoinen, A., and S. Thorp. 2013. “Financialization, Crisis and Commodity Correlation Dynamics.” Journal of International Financial Markets, Institutions and Money 24 (C): 42–65. doi:10.1016/j.intfin.2012.11.007.
  • Swift, R. 2001. “Exchange Rates and Commodity Prices: The Case of Australian Metal Exports.” Applied Economics 33 (6): 745–753. doi:10.1080/00036840122525.
  • Tiwari, A. K., A. B. Dar, and N. Bhanja. 2013. “Oil Price and Exchange Rates: A Wavelet Based Analysis for India.” Economic Modelling 31 (C): 414–422. doi:10.1016/j.econmod.2012.11.043.
  • Wang, Y., and C. Wu. 2012. “Forecasting Energy Market Volatility Using GARCH Models: Can Multivariate Models Beat Univariate Models?.” Energy Economics 34 (6): 2167–2181. doi:10.1016/j.eneco.2012.03.010.
  • Worthington, A., A. Kay-Spratley, and H. Higgs. 2005. “Transmission of Prices and Price Volatility in Australian Electricity Spot Markets: A Multivariate GARCH Analysis.” Energy Economics 27 (2): 337–350. doi:10.1016/j.eneco.2003.11.002.
  • Wu, -C.-C., H. Chung, and Y.-H. Chang. 2012. “The Economic Value of Co-Movement Between Oil Price and Exchange Rate Using Copula-Based GARCH Models.” Energy Economics 34 (1): 270–282. doi:10.1016/j.eneco.2011.07.007.

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