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REFERENCES

  • Baillie RT, Bollerslev T, Mikkelsen HO. 1996. Fractionally integrated generalized autoregressive conditional heteroskedasticity. Journal of Econometrics 74(1): 330.
  • Bauwens L, Hautsch N. 2006. Stochastic conditional intensity processes. Journal of Financial Econometrics 4(3): 450493.
  • Benjamin MA, Rigby RA, Stanispoulos M. 2003. Generalized autoregressive moving average models. Journal of the American Statistical Association 98(461): 214223.
  • Bollerslev T. 1986. Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics 31(3): 307327.
  • Bollerslev T. 1987. A conditionally heteroskedastic time series model for speculative prices and rates of return. The Review of Economics and Statistics 69(3): 542547.
  • Cipollini F, Engle RF, Gallo GM. 2006. Vector multiplicative error models: representation and inference. NBER Working Paper.
  • Cox DR. 1981. Statistical analysis of time series: some recent developments. Scandinavian Journal of tatistics 8(2): 93115.
  • Creal DD. 2012. A survey of sequential Monte Carlo methods for economics and finance. Econometric Reviews 31(3): 245296.
  • Creal DD, Koopman SJ, Lucas A. 2011. A dynamic multivariate heavy-tailed model for time-varying volatilities and correlations. Journal of Business and Economic Statistics 29(4): 552563.
  • Davis RA, Dunsmuir WTM, Streett S. 2003. Observation driven models for Poisson counts. Biometrika 90(4): 777790.
  • Davis RA, Dunsmuir WTM, Streett S. 2005. Maximum likelihood estimation for an observation driven model for Poisson counts. Methodology and Computing in Applied Probability 7: 149159.
  • Dias A, Embrechts P. 2004. Dynamic copula models for multivariate high-frequency data in finance. ETH Zurich.
  • Duffie D, Eckner A, Horel G, Saita L. 2009. Frailty correlated default. Journal of Finance 64(5): 20892123.
  • Engle RF. 1982. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica 50(4): 9871007.
  • Engle RF. 2002a. Dynamic conditional correlation: a simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics 20(3): 339350.
  • Engle RF. 2002b. New frontiers for ARCH models. Journal of Applied Econometrics 17: 425446.
  • Engle RF, Bollerslev T. 1986. Modelling the persistence of conditional variances. Econometric Reviews 5(1): 150.
  • Engle RF, Gallo GM 2006. A multiple indicators model for volatility using intra-daily data. Journal of Econometrics 131(1–2): 327.
  • Engle RF, Manganelli S. 2004. CAViaR: conditional autoregressive value at risk by regression quantiles. Journal of Business and Economic Statistics 22(4): 367382.
  • Engle RF, Russell JR. 1998. Autoregressive conditional duration: a new model for irregularly spaced transaction data. Econometrica 66(5): 11271162.
  • Fiorentini G, Calzolari G, Panattoni L. 1996. Analytic derivatives and the computation of GARCH estimates. Journal of Applied Econometrics 11: 399417.
  • Giacomini E, Härdle W, Spokoiny V. 2007. Inhomogeneous dependence modeling with time-varying copulae. Journal of Business and Economic Statistics 27(2): 224234.
  • Hafner CM, Manner H. 2011. Dynamic stochastic copula models: estimation, inference and applications. Journal of Applied Econometrics doi: 10.1002/jae.1197.
  • Hamilton J. 1989. A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica 57(2): 357384.
  • Harvey AC. 1989. Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press: Cambridge, UK.
  • Harvey AC, Chakravarty T. 2008. Beta–t–(E)GARCH. Working Papers in Economics, Faculty of Economics, Cambridge University, UK.
  • Hosking JRM. 1981. Fractional differencing. Biometrika 68(1): 165176.
  • Koopman SJ, Lucas A, Monteiro A. 2008. The multi-state latent factor intensity model for credit rating transitions. Journal of Econometrics 142(1): 399424.
  • Koopman SJ, Lucas A, Schwaab B. 2011. Modeling frailty-correlated defaults using many macroeconomic covariates. Journal of Econometrics 162(2): 312325.
  • Lee T-H, Long X. 2009. Copula-based multivariate GARCH model with uncorrelated dependent errors. Journal of Econometrics 150(2): 207218.
  • Nelson DB. 1991. Conditional heteroskedasticity in asset returns: a new approach. Econometrica 59: 347370.
  • Patton AJ. 2006. Modelling asymmetric exchange rate dependence. International Economic Review 47(2): 527556.
  • Patton AJ. 2009. Copula-based models for financial time series. In Handbook of Financial Time Series, Anderson TG, Davis RA, Kreiss JP, Mikosch T (eds.). Springer: New York; 767786.
  • Russell JR. 2001. Econometric modeling of multivariate irregularly-spaced high-frequency data. University of Chicago, Graduate School of Business.
  • Russell JR, Engle RF. 2005. A discrete-state continuous-time model of financial transactions prices and times: the autoregressive conditional multinomial-autoregressive conditional duration model. Journal of Business and Economic Statistics 23(2): 166180.
  • Shephard N. 1995. Generalized linear autoregressions. Nuffield College, University of Oxford.
  • Shephard N. 2005. Stochastic Volatility: Selected Readings. Oxford University Press: Oxford.
  • Shephard N, Pitt MK. 1997. Likelihood analysis of non-Gaussian measurement time series. Biometrika 84(3): 653667.
  • Sklar A. 1959. Fonctions de répartition à n dimensions et leurs marges. Publications de l'Institut de Statistique de L'Université de Paris 8; 229–231.
  • Straumann D, Mikosch T. 2006. Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: a stochastic recurrence equations approach. The Annals of Statistics 34(5): 24492495.
  • van den Goorbergh RWJ, Genest C, Werker BJM. 2005. Bivariate option pricing using dynamic copula models. Insurance Mathematics and Economics 37(1): 101114.
  • White H. 1994. Estimation, Inference and Specification Analysis. Cambridge University Press: Cambridge, UK.
  • Wooldridge JM. 1994. Estimation and inference for dependent processes. In Handbook of Econometrics, Engle RF, McFadden DL (eds.). North-Holland: Amsterdam; 26392738.