Modelling the asymmetric volatility of anti-pollution patents in the USA

被引：7

作者：

Chan, F

Marinova, D ^{[1
]}

McAleer, M

机构：

[1] Murdoch Univ, Inst Sustainabil & Technol Policy, Murdoch, WA 6150, Australia

[2] Univ Western Australia, Dept Econ, Crawley, WA, Australia

来源：

SCIENTOMETRICS | 2004年 / 59卷 / 02期

基金：

澳大利亚研究理事会;

关键词：

D O I：

10.1023/B:SCIE.0000018527.22276.10

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The paper analyses the asymmetric volatility of patents related to pollution prevention and abatement (hereafter, anti-pollution) technologies registered in the USA. Ecological and pollution prevention technology patents have increased steadily over time, with the 1990's having been a period of intensive patenting of technologies related to the environment. The time-varying nature of the volatility of anti-pollution technology patents registered in the USA is examined using monthly data from the US Patent and Trademark Office for the period January 1975 to December 1999. Alternative symmetric and asymmetric volatility models, such as GARCH, GJR and EGARCH, are estimated and tested against each other using full sample and rolling windows estimation.

引用

页码：179 / 197

页数：19

共 21 条

[1] [Anonymous], 2001, MAK SUST COMM ENV ST
[2] [Anonymous], J FINAN
[3] BERNDT EK, 1974, ANN ECON SOC MEAS, V3, P653
[4] GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY
BOLLERSLEV, T
[J]. JOURNAL OF ECONOMETRICS, 1986, 31 (03) : 307 - 327
[5] Asymptotic normality for the quasi-maximum likelihood estimator of a GARCH model
Boussama, F
[J]. COMPTES RENDUS DE L ACADEMIE DES SCIENCES SERIE I-MATHEMATIQUE, 2000, 331 (01): : 81 - 84
[6] Dunn S., 2001, Hydrogen Futures: Toward a Sustainable Energy System
[7] ELIE L, 1995, CR ACAD SCI I-MATH, V320, P1255
[8] AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY WITH ESTIMATES OF THE VARIANCE OF UNITED-KINGDOM INFLATION
ENGLE, RF
[J]. ECONOMETRICA, 1982, 50 (04) : 987 - 1007
[9] Strong consistency of estimators for multivariate ARCH models
Jeantheau, T
[J]. ECONOMETRIC THEORY, 1998, 14 (01) : 70 - 86
[10] LING S, 2000, STAT FINANCE INTERFA, P226

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