References
- Adrian, T., and Brunnermeier, M. K. (2016), “CoVaR,” American Economic Review, 106, 1705–1741. DOI: https://doi.org/10.1257/aer.20120555.
- Bouezmarni, T., Rombouts, J. V., and Taamouti, A. (2012), “Nonparametric Copula-Based Test for Conditional Independence With Applications to Granger Causality,” Journal of Business & Economic Statistics, 30, 275–287.
- Capiello, L., Engle, R., and Sheppard, K. (2006), “Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns,” Journal of Financial Econometrics, 4, 537–572. DOI: https://doi.org/10.1093/jjfinec/nbl005.
- Casas, I., Ferreira, E., and Orbe, S. (2020), “Time-Varying Coefficient Estimation in SURE Models. Application to Portfolio Management,” Journal of Financial Econometrics (forthcoming). DOI: https://doi.org/10.1093/jjfinec/nbz010.
- Chu, Y., Deng, S., and Xia, C. (2019), “Bank Geographic Diversification and Systemic Risk,” The Review of Financial Studies, 33, 4811–4838. DOI: https://doi.org/10.1093/rfs/hhz148.
- Dahlhaus, R. (1997), “Fitting Time Series Models to Nonstationary Processes,” The Annals of Statistics, 25, 1–37. DOI: https://doi.org/10.1214/aos/1034276620.
- Deheuvels, P. (1979), “La Fonction de Dépendance Empirique et ses Propriétés: Un Test Non Paramétrique d’Independence,” Bulletin de l’Académie Royal de Belgique, Classe des Sciences, 65, 274–292. DOI: https://doi.org/10.3406/barb.1979.58521.
- Dias, A., and Embrechts, P. (2010), “Modeling Exchange Rate Dependence Dynamics at Different Time Horizons,” Journal of International Money and Finance, 29, 1687–1705. DOI: https://doi.org/10.1016/j.jimonfin.2010.06.004.
- Embrechts, P., Höing, A., and Juri, A. (2003), “Using Copulae to Bound the Value-at-Risk for Functions of Dependent Risks,” Finance and Stochastics, 7, 145–167. DOI: https://doi.org/10.1007/s007800200085.
- Embrechts, P., Lindskog, F., and McNeil, A. (2003), “Modelling Dependence With Copulas and Applications to Risk Management,” in Handbook of Heavy Tailed Distributions in Finance: Book 1, ed. S. T. Rachev, Amsterdam, NL: Elsevier Science B.V., pp. 329–384.
- Engle, R. (2002), “Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models,” Journal of Business & Economic Statistics, 20, 339– 350.
- Fan, J. (1992), “Design-Adaptive Nonparametric Regression,” Journal of the American Statistical Association, 87, 998–1004. DOI: https://doi.org/10.1080/01621459.1992.10476255.
- Fermanian, J., Radulović, D., and Wegkamp, M. (2004), “Weak Converge of Empirical Copula Processes,” Bernoulli, 10, 847–860. DOI: https://doi.org/10.3150/bj/1099579158.
- Fermanian, J., and Scaillet, O. (2003), “Nonparametric Estimation of Copulas for Time Series,” Journal of Risk, 5, 25–54. DOI: https://doi.org/10.21314/JOR.2003.082.
- Ferreira, E., Gil-Bazo, J., and Orbe, S. (2011), “Conditional Beta Pricing Models: A Nonparametric Approach,” Journal of Banking & Finance, 35, 3362–3382.
- Ferreira, E., and Orbe, S. (2018), “Why Are There Time-Varying Comovements in the European Stock Market?,” The European Journal of Finance, 24, 828–848. DOI: https://doi.org/10.1080/1351847X.2017.1339622.
- Fortin, I., and Kuzmics, C. (2002), “Tail-Dependence in Stock-Return Pairs,” Intelligent Systems in Accounting, Finance & Management, 11, 89–107.
- Gijbels, I., Omelka, M., and Veraverbeke, N. (2012), “Multivariate and Functional Covariates and Conditional Copulas,” Electronic Journal of Statistics, 6, 1273–1306. DOI: https://doi.org/10.1214/12-EJS712.
- Gijbels, I., Veraverbeke, N., and Omelka, M. (2011), “Conditional Copulas, Association Measures and Their Applications,” Computational Statistics & Data Analysis, 55, 1919–1932. DOI: https://doi.org/10.1016/j.csda.2010.11.010.
- Hafner, C. M., and Manner, H. (2012), “Dynamic Stochastic Copula Models: Estimation, Inference and Applications,” Journal of Applied Econometrics, 27, 269–295. DOI: https://doi.org/10.1002/jae.1197.
- Hafner, C. M., and Reznikova, O. (2010), “Efficient Estimation of a Semiparametric Dynamic Copula Model,” Computational Statistics & Data Analysis, 54, 2609–2627.
- Hull, J. C. (2018), Options, Futures, and Other Derivatives (10th ed.), New York: Pearson Education.
- Jeong, K., Härdle, W., and Song, S. (2012), “A Consistent Nonparametric Test for Causality in Quantile,” Econometric Theory, 28, 861–887. DOI: https://doi.org/10.1017/S0266466611000685.
- Joe, H. (1990), “Multivariate Concordance,” Journal of Multivariate Analysis, 35, 12–30. DOI: https://doi.org/10.1016/0047-259X(90)90013-8.
- Jondeau, E., and Rockinger, M. (2006), “The Copula-GARCH Model of Conditional Dependencies: An International Stock Market Application,” Journal of International Money and Finance, 25, 827–853. DOI: https://doi.org/10.1016/j.jimonfin.2006.04.007.
- Jorion, P. (2007), Financial Risk Manager Handbook (Vol. 406, revised ed.), Hoboken, NJ: Wiley.
- Kendall, M. G., and Smith, B. B. (1940), “On the Method of Paired Comparisons,” Biometrika, 31, 324–345. DOI: https://doi.org/10.1093/biomet/31.3-4.324.
- Krishnan, C., Petkova, R., and Ritchken, P. (2009), “Correlation Risk,” Journal of Empirical Finance, 16, 353–367. DOI: https://doi.org/10.1016/j.jempfin.2008.10.005.
- Kristensen, D. (2012), “Non-Parametric Detection and Estimation of Structural Change,” The Econometrics Journal, 15, 420–461. DOI: https://doi.org/10.1111/j.1368-423X.2012.00378.x.
- Loaiza-Maya, R., Smith, M. S., and Maneesoonthorn, W. (2018), “Time Series Copulas for Heteroskedastic Data,” Journal of Applied Econometrics, 33, 332–354. DOI: https://doi.org/10.1002/jae.2610.
- Longin, F., and Solnik, B. (1995), “Is the Correlation in International Equity Returns Constant: 1960–1990?,” Journal of International Money and Finance, 14, 3–26. DOI: https://doi.org/10.1016/0261-5606(94)00001-H.
- McNeil, A., Frey, R., and Embrechts, P. (2015), Quantitative Risk Management (revised ed.), Princeton, NJ: Princeton University Press.
- Moskowitz, T. J. (2003), “An Analysis of Covariance Risk and Pricing Anomalies,” The Review of Financial Studies, 16, 417–457. DOI: https://doi.org/10.1093/rfs/hhg007.
- Nelsen, R. B. (1992), “On Measures of Association as Measures of Positive Dependence,” Statistics & Probability Letters, 14, 269–274.
- Nelsen, R. B. (1996), “Nonparametric Measures of Multivariate Association,” in Distributions with Fixed Marginals and Related Topics, IMS Lecture Notes-Monograph Series (Vol. 28), eds. L. Rüschendorf, B. Schweizer and M. D. Taylor, Hayward, CA: Institute of Mathematical Statistics, pp. 223–232.
- Oh, D. H., and Patton, A. J. (2013), “Simulated Method of Moments Estimation for Copula-Based Multivariate Models,” Journal of the American Statistical Association, 108, 689–700. DOI: https://doi.org/10.1080/01621459.2013.785952.
- Oh, D. H., and Patton, A. J. (2018), “Time-Varying Systemic Risk: Evidence From a Dynamic Copula Model of CDS Spreads,” Journal of Business & Economic Statistics, 36, 181–195.
- Palaro, H. P., and Hotta, L. K. (2006), “Using Conditional Copula to Estimate Value at Risk,” Journal of Data Science, 4, 93–115.
- Paparoditis, E., and Politis, D. N. (2002), “Local Block Bootstrap,” Comptes Rendus Mathematique, 335, 959–962. DOI: https://doi.org/10.1016/S1631-073X(02)02578-5.
- Patton, A. J. (2006), “Modelling Asymmetric Exchange Rate Dependence,” International Economic Review, 47, 527–556. DOI: https://doi.org/10.1111/j.1468-2354.2006.00387.x.
- Patton, A. J. (2012), “A Review of Copula Models for Economic Time Series,” Journal of Multivariate Analysis, 110, 4–18.
- Pollet, J. M., and Wilson, M. (2010), “Average Correlation and Stock Market Returns,” Journal of Financial Economics, 96, 364–380. DOI: https://doi.org/10.1016/j.jfineco.2010.02.011.
- Samitas, A., and Tsakalos, I. (2013), “How Can a Small Country Affect the European Economy? The Greek Contagion Phenomenon,” Journal of International Financial Markets, Institutions and Money, 25, 18–32. DOI: https://doi.org/10.1016/j.intfin.2013.01.005.
- Scarsini, M. (1984), “On Measures of Concordance,” Stochastica, 8, 201–218.
- Schmid, F., and Schmidt, R. (2007), “Multivariate Extensions of Spearman’s Rho and Related Statistics,” Statistics & Probability Letters, 77, 407–416.
- Sklar, M. (1959), “Fonctions de Répartition à N Dimensions et Leurs Marges,” Publications de l’Institut de Statistique de L’Université de Paris, 8, 229–231.
- Taylor, M. (2007), “Multivariate Measures of Concordance,” Annals of the Institute of Statistical Mathematics, 59, 789–806. DOI: https://doi.org/10.1007/s10463-006-0076-2.
- Veraverbeke, N., Omelka, M., and Gijbels, I. (2011), “Estimation of a Conditional Copula and Association Measures,” Scandinavian Journal of Statistics, 38, 766–780. DOI: https://doi.org/10.1111/j.1467-9469.2011.00744.x.
- Wang, P., and Moore, T. (2012), “The Integration of the Credit Default Swap Markets During the US Subprime Crisis: Dynamic Correlation Analysis,” Journal of International Financial Markets, Institutions and Money, 22, 1–15. DOI: https://doi.org/10.1016/j.intfin.2011.07.001.