參考文獻 |
Alaton, P., B. Djehiche, and D. Stillberger (2002). On modelling and pricing weather
derivatives. Applied Mathematical Finance 9, 1–20.
Benth, F. E. and J. ˆSaltyt˙e Benth (2005a). Stochastic modelling of temperature variations
with a view towards weather derivatives. Applied Mathathematical Finance 12, 53–85.
Benth, F. E. and J. ˆSaltyt˙e Benth (2005b). The volatility of temperature and pricing of
weather derivatives. Pure Mathematics, Preprint, Department of Mathematics, Univerity
of Oslo.
Campbell, S. and F. Diebold (2005). Weather forecasting for weather derivatives. Journal
of American Statistical Association 100, 6–16.
Caporin, M. and J. Pre’s (2009). Forecasting temperature indices with time-varying longmemory
models. Marco Fanno working paper N.88, 1–58.
Engle, R. (2002). Dynamic conditional correlation: a simple class of multivariate generalized
autoregressive conditional heteroskedasticity models. Journal of Business and
Economic Statistics 20, 339–350.
Engle, R. and K. Kroner (1995). Multivariate simultaneous generalized ARCH. Econometric
Theory 11, 122–50.
H‥ardle, W. K. and B. L’opez-Cabrera (2009). Implied market price of weather risk (2009-
001). SFB 649, Humboldt-Universit‥at zu Berlin Spandauer.
Lee, T.-H. and X. Long (2009). Copula-based multivariate GARCH model with uncorrelated
dependent errors. Journal of Econometrics 150, 207–218.
Luca, G. D. and G. Rivieccio (2008). Measuring tail dependence with a Copula-GARCH
model. Department of Statistics and Mathematics for Economic Research, University
of Napoli Parthenope, via Medina 40, 80133 Napoli, Italy.
Makridakis, S., S. C. Wheelwright, and R. J. Hyndman. (1998). Forecasting:methods and
applications. New York: John Wiley & Sons.
McNeil, A. J. (2008). Sampling nested Archimedean copulas. Journal of Statistical
Computation and Simulation 78, 567–581.
Mraova, M. and D. Bari (2007). Temperature stochastic modelling and weather deriatives
pricing: empirical study with moroccan data. Afrika Statistika 2, 22–43.
Okhrin, O., Y. Okhrin, and W. Schmid (2009). Properties of Hierarchical Archimedean
copulas (2009-014). SFB 649, Humboldt-Universit‥at zu Berlin.
Patton, A. J. (2011). Copula methods for forecasting multivariate time series. Handbook
of Economic Forecasting Vol. 2 Elsevier, Oxford.
Pellegrini, S., E. Ruiz, and A. Espasa (2011). Prediction intervals in conditionally heteroscedastic
time series with stochastic components. International Institute of Forecasters
27, 308–319.
Shumway, R. H. and D. S. Stoffer (2006). Time Series Analysis and Its Applications :
With R Examples. New York: Springer.
Sklar, A. (1959). Fonctions de r’epartition `an dimensions et leurs marges. Publications de
Institut Statistique de Universite de Paris 8, 229–231.
Tse, Y. and A. Tsui (2002). A multivariate generalized autoregressive conditional heteroscedasticity
model with time-varying correlations. Journal of Business and Economic
Statistics 20, 351–362.
|