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Volumn 1, Issue 2, 1994, Pages 211-248

Testing the covariance stationarity of heavy-tailed time series: An overview of the theory with applications to several financial datasets

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EID: 0000119560     PISSN: 09275398     EISSN: None     Source Type: Journal    
DOI: 10.1016/0927-5398(94)90004-3     Document Type: Article
Times cited : (383)

References (41)
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    • Estimating the stable index α in order to measure the tail thickness: A critique
    • (1983) Annals of Statistics , vol.11 , pp. 1019-1031
    • Dumouchel1
  • 10
    • 0000051984 scopus 로고
    • Autoregressive conditional heteroskedasticity with estimates of United Kingdom inflation
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    • Engle1
  • 18
    • 0001342006 scopus 로고
    • A new approach to the economic analysis ofnonstationary time series and the business cycle
    • (1989) Econometrica , vol.57 , pp. 357-384
    • Hamilton1
  • 25
    • 0000140166 scopus 로고
    • Long-term memory in stock market prices
    • (1991) Econometrica , vol.59 , pp. 1279-1313
    • Lo1
  • 31
    • 0000706085 scopus 로고
    • A simple positive semi-definite heteroskedasticity and autocorrelation consistent covariance matrix
    • (1987) Econometrica , vol.55 , pp. 703-708
    • Newey1    West2
  • 34
  • 41
    • 0002425866 scopus 로고
    • On the application of robust, regression-based diagnostics to models of conditional means and conditional variances
    • (1991) Journal of Econometrics , vol.47 , pp. 5-46
    • Wooldridge1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.