Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach

References

• Aas, K., C. Czado, A. Frigessi, and H. Bakken. 2009. “Pair-Copula Constructions of Multiple Dependence.” Insurance: Mathematics and Economics Journal 44 (2): 182–198.
   Web of Science ®Google Scholar
• AGPC (Australian Government Productivity Commission). 2011. Economic Structure and Performance of the Australian Retail Industry. Porductivity Commision Draft Report, Canberra, 1–14.
   Google Scholar
• Allen, D. E., M. A. Ashraf, M. McAleer, R. J. Powell, and A. K. Singh. 2013. “Financial Dependence Analysis: Applications of Vine Copulae.” Statistica Neerlandica 67 (4): 403–435. doi:10.1111/stan.12015.
   Web of Science ®Google Scholar
• Aloui, R., M. S. Ben Aissa, and D. K. Nguyen. 2011. “Global financial Crisis, Extreme Interdependences, and Contagion Effects: The Role of Economic Structure?” Journal of Banking and Finance 35: 130–141. doi:10.1016/j.jbankfin.2010.07.021.
   Web of Science ®Google Scholar
• Arreola, J., D. Allen, and R. Powell. 2013. “Dependence Estimation And Controlled Cvar Portfolio Optimization Of A Highly Kurtotic Australian Mining Sample Of Stocks.” Paper presented at the 20th International Congress on Modeling and Simulation, Adelaide, 1–7
   Google Scholar
• Arreola-Hernandez, J. 2014. “Are Oil and Gas Stocks from the Australian Market Riskier than Coal and Uranium Stocks? Dependence Risk Analysis and Portfolio Optimization.” Energy Economics 45: 528–536. doi:10.1016/j.eneco.2014.08.015.
   Web of Science ®Google Scholar
• Australian Bureau of Statistics. 2015. Retail Trade, Australia. Canberra: Australian Bureau of Statistics.
   Google Scholar
• Bank for International Settlements. 2009. “The International Financial Crisis: Timeline, Impact and Policy Responses in Asia and the Pacific.” BIS Papers 52: 21–82.
   Google Scholar
• Baur, D. G. 2012. “Financial Contagion and the Real Economy.” Journal of Banking & Finance 36 (10): 2680–2692. doi:10.1016/j.jbankfin.2011.05.019.
   Web of Science ®Google Scholar
• Baur, D. G., and B. M. Lucey. 2010. “Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold.” Financial Review 45 (2): 217–229. doi:10.1111/(ISSN)1540-6288.
   Google Scholar
• Baur, D. G., and T. K. McDermott. 2010. “Is Gold a Safe Haven? International Evidence.” Journal of Banking & Finance 34 (8): 1886–1898. doi:10.1016/j.jbankfin.2009.12.008.
   Web of Science ®Google Scholar
• Bedford, T., and R. M. Cook. 2002. “Vines- a New Graphical Model for Dependent Random Variables.” The Annals of Statistics 30: 1031–1068. doi:10.1214/aos/1031689016.
   Web of Science ®Google Scholar
• Bedford, T., and R. M. Cooke. 2001. “Probability Density Decomposition for Conditionally Dependent Random Variables Modelled by Vines.” Annals of Mathematics and Artificial Intelligence 32: 245–268. doi:10.1023/A:1016725902970.
   Web of Science ®Google Scholar
• Bekiros, S., J. Arreola-Hernandez, S. Hammoudeh, and D. Khuong-Nguyen. 2015. “Multivariate Dependence Risk and Portfolio Optimization: An Application to Mining Stock Portfolios.” Resources Policy 46: 1–11. doi:10.1016/j.resourpol.2015.07.003.
   Web of Science ®Google Scholar
• Bingham, F., and B. Perkins. 2012. Australia’s Coal and Iron Ore Exports 2001 to 2011. Canberra: Department of Foreign Affairs and Trade: Economic Advocacy & Analysis Branch.
   Google Scholar
• Brechmann, E. C., and C. Czado. 2015. “COPAR -Multivariate Time Series Modeling Using the Copula AutoRegressive Model.” Applied Stochastic Models in Business Industry 31 (4): 495–514.
   Google Scholar
• Brechmann, E. C., and U. Schepsmeier. 2011. “Modelling Dependence with C and D Vine Copulas: The R-Package C-D Vine.” Journal of Statistical Software 52 (3): 1–26.
   Web of Science ®Google Scholar
• Chollete, L., A. Heinen, and A. Valdesogo. 2009. “Modelling International Financial Returns with a Multivariate Regime Switching Copulas.” Journal of Financial Econometrics 7: 437–480. doi:10.1093/jjfinec/nbp014.
   Web of Science ®Google Scholar
• Collins, T. 2013. Australia’s Gold Industry: Trade, Production and Outlook, 1–5. Canberra: Department of Foreign Affairs and Trade: Economic Advocacy & Analysis Branch.
   Google Scholar
• Cooke, R. M. 1997. “Markov and Entropy Properties of Tree- and Vine-Dependent Variables.” In Proceedings of the ASA Section on Bayesian Statistical Science, 1–10.
   Google Scholar
• CWT (Common Wealth Treasury). 2012. The Australian Dollar and the Manufacturing Sector. Canberra, Australia. http://www.treasury.gov.au/~/media/Treasury/Access%20to%20Information/Disclosure%20Log/2012/1204/PDF/FOI-2012-1204-Document01.ashx
   Google Scholar
• Czado, C., C. Brechmann, and L. Gruber. 2013. “Selection of Vine Copulas.” In Copulae in Mathematical and Quantitative Finance, 17–37. Berlin: Springer.
   Google Scholar
• Czado, C. 2010. “Pair-Copula Constructions of Multivariate Copulas.” In Copula Theory and Its Applications, edited by P. Jaworski, et al., 93–109. Berlin Heidelberg: Springer.
   Google Scholar
• Czado, C., U. Schepsmeier, and A. Min. 2012. “Maximum Likelihood Estimation of Mixed C-Vines with Application to Exchange Rates.” Statistical Modelling 12 (3): 229–255. doi:10.1177/1471082X1101200302.
   Web of Science ®Google Scholar
• Delloite. 2013. Global Powers of Retailing: Retail and beyond. Perth, Australia.
   Google Scholar
• Department of Industry. 2014. Australian Industry Report, 1–220. Canberra.
   Google Scholar
• DIISR (Department of Innovation, Industry, Science and Research). 2010. Manufacturing Sector: Overview of Structural Change- Industry Brief 2008-2009. Sydney, Australia.
   Google Scholar
• Dissmann, J., E. C. Brechmann, C. Czado, and D. Kurowicka. 2013. “Selecting and Estimating Regular Vine Copulae and Application to Financial Returns.” Computational Statistics & Data Analysis 59: 52–69. doi:10.1016/j.csda.2012.08.010.
   Web of Science ®Google Scholar
• Dissmann, J. F. 2010. “Statistical Inference for Regular Vines and Application.” Diploma Thesis, Technische Universitat Munchen.
   Google Scholar
• Federal Reserve Bank of St. Louis. 2009. The Financial Crisis: A Timeline of Events and Policy Actions. http://timeline.stlouisfed.org.
   Google Scholar
• Genest, C., B. Remillard, and D. Beaudoin. 2009. “Goodness-of-Fit Tests for Copulas: A Review and a Power Study.” Insurance: Mathematics and Economics 44 (2): 199–213.
   Web of Science ®Google Scholar
• Green, R., and G. Roos. 2012. “Australia’s Manufacturing Future.” Working Paper, University of Technology, Sydney.
   Google Scholar
• Heinen, A., and A. Valdesogo. 2009. Asymmetric CAPM Dependence for Large Dimensions: The Canonical Vine Autoregressive Copula Model. CORE Discussion Paper No. 69.
   Google Scholar
• Hernandez, J. A. 2015. “Vine copula modelling of dependence and portfolio optimization with application to mining and energy stock return series from the Australian market.” Doctoral Dissertation, Edith Cowan University, Australia.
   Google Scholar
• Joe, H. 1997. Multivariate Models and Dependence Concepts. London: Chapman & Hall.
   Google Scholar
• Kryger, A. 2014. Performance of the Manufacturing Industry: A Quick Guide. Canberra: Parliament of Australia: Department of Parliamentary Services, November, 1–5.
   Google Scholar
• Kurowicka, D., and R. M. Cooke. 2006. Uncertainty Analysis with High Dimensional Dependence Modelling. Chichester: John Wiley.
   Google Scholar
• Low, R. K. Y., J. Alcock, R. Faff, and T. Brailsford. 2013. “Canonical Vine Copulas in the Context of Modern Portfolio Management: Are They Worth It?” Journal of Banking & Finance 37 (8): 3085–3099. doi:10.1016/j.jbankfin.2013.02.036.
   Web of Science ®Google Scholar
• Mehmedovic, S., J. Pallant, and E. Pacini. 2011. Australian Retail Snapshot. The Australia center for retail studies. Melbourne, Australia: Monash University.
   Google Scholar
• Min, A., and C. Czado. 2010. “Bayesian Inference for Multivariate Copulas Using Pair-Copula Constructions.” Journal of Financial Econometrics 8 (4): 511–546. doi:10.1093/jjfinec/nbp031.
   Web of Science ®Google Scholar
• NAB (National Australia Bank). 2012. Sector Insights: Manufacturing. Canberra, Australia.
   Google Scholar
• Nikoloulopoulos, A. K., H. Joe, and H. Li. 2012. “Vine Copulas with Asymmetric Tail Dependence and Applications to Financial Return Data.” Computational Statistics & Data Analysis 56 (11): 3659–3673. doi:10.1016/j.csda.2010.07.016.
   Web of Science ®Google Scholar
• Panchenko, V. 2005. “Goodness of Fit Testing for Vine Copulas.” Physica A: Statistical Mechanics and its Applications 355 (1): 176–182. doi:10.1016/j.physa.2005.02.081.
   Web of Science ®Google Scholar
• Patton, A. 2012. “A Review of Copula Models for Economic Time Series.” Journal of Multivariate Analysis 110: 4–18. doi:10.1016/j.jmva.2012.02.021.
   Web of Science ®Google Scholar
• Pilat, D., A. Cimper, K. B. Olsen, and C. Webb. 2006. The Changing Nature of Manufacturing in OECD Economies. OECD Science, Technology and Industry Working Papers. doi: 10.1787/308452426871.
   Google Scholar
• Reboredo, J. C. 2013. “Is Gold a Safe Haven or a Hedge for the US Dollar? Implications for Risk Management.” Journal of Banking & Finance 37 (8): 2665–2676. doi:10.1016/j.jbankfin.2013.03.020.
   Web of Science ®Google Scholar
• Reboredo, J. C., and M. A. Rivera-Castro. 2014. “Gold and Exchange Rates: Downside Risk and Hedging at Different Investment Horizons.” International Review of Economics & Finance 34: 267–279. doi:10.1016/j.iref.2014.07.005.
   Web of Science ®Google Scholar
• Savills Research. 2014. Australian Retail Market. Perth, Australia.
   Google Scholar
• Schepsmeier, U. 2013. A goodness-of-fit test for regular vine copula models. http://arXiv preprint arXiv:.org/abs/1306.0818.
   Google Scholar
• Schepsmier, U. 2014. Efficient Goodness-of-Fit Tests in Multidimensional Vine Copula Models. http://arXiv:1309.5808.
   Google Scholar
• Sklar, A. 1959. “Fonctions de répartition and dimensions et leurs marges.” Institut de Statistique de l’Université de Paris 8: 229–231.
   Google Scholar