1 |
Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50, 987-1007.
DOI
ScienceOn
|
2 |
Hwang, S. Y. and Kim, T. Y. (2004). Power transformation and threshold modeling for ARCH innovations with applications to tests for ARCH structure. Stochastic Processes and their Applications, 110, 295-314.
DOI
ScienceOn
|
3 |
Kingman, J. F. C. (1973). Subadditive ergodic theory. Annals of Probability, 1, 883-909.
DOI
ScienceOn
|
4 |
Kesten, H. and Spitzer, F. (1984). Convergence in distribution of products of random matrices. Zeitschrift fur Wahrscheinlichkeitstheorie und Verwandte Gebiete, 67, 363-386.
DOI
ScienceOn
|
5 |
Lee, O. and Shin, D. W. (2004). Strict stationarity and mixing properties of asymmetric power GARCH models allowing a signed volatility. Economics Letters, 84, 167-173.
DOI
ScienceOn
|
6 |
Ling, S. (1999). On the probabilistic properties of a double threshold ARMA conditional heteroskedastic model. Journal of Applied Probability, 36, 688-705.
DOI
|
7 |
Ling, S. and McAleer, M. (2002). Necessary and sufficient conditions for GARCH(r,s) and asymmetric power GARCH(r,s) models. Econometric Theory, 18, 722-729.
|
8 |
Meyn, S. P. and Tweedie, R. L. (1993). Markov chains and stochastic stability, Springer, London.
|
9 |
Tweedie, R. L. (2001). Drift conditions and invariant measures for Markov chains. Stochastic Processes and their Applications, 92, 345-354.
DOI
ScienceOn
|
10 |
Bellini, F. and Bottolo, L. (2007). Stationarity domains for -power GARCH process with heavy tails. Statistics and probability Letters, 77, 1418-1427.
DOI
ScienceOn
|
11 |
Bollerslev, T. (1986). Generalized autoregressive conditional hetero- skedasticity. Journal of Econometrics, 31, 307-327.
DOI
ScienceOn
|
12 |
Bougerol, P. and Picard, N. M. (1992). Stationarity of GARCH processes and of some nonnegative time series. Journal of Econometrics, 52, 115-127.
DOI
ScienceOn
|
13 |
Ding, Z., Granger, C. W. J. and Engle, R. F. (1993). A long memory property of stock market returns and a new model. Journal of Empirical Finance, 1, 83-106.
DOI
ScienceOn
|