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Volumn 10, Issue 1, 2007, Pages 129-154

Statistical estimation of optimal portfolios for locally stationary returns of assets

Author keywords

Asymptotic efficiency; Kernel method; Locally asymptotic normality; Locally stationary process; Optimal portfolio

Indexed keywords


EID: 33846438586     PISSN: 02190249     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219024907004093     Document Type: Article
Times cited : (3)

References (10)
  • 4
    • 0003260218 scopus 로고    scopus 로고
    • Athens Conference on Applied Probability and Time Series 2. Lecture Notes in Statistics
    • 145-159
    • R. Dahlhaus, Asymptotic statistical inference for nonstationary processes with evolutionary spectra, Athens Conference on Applied Probability and Time Series 2. Lecture Notes in Statistics 115 (1996) 145-159.
    • (1996) , vol.115
    • Dahlhaus, R.1
  • 5
    • 0011460348 scopus 로고    scopus 로고
    • Maximum likelihood estimation and model selection for locally stationary processes
    • R. Dahlhaus, Maximum likelihood estimation and model selection for locally stationary processes. Journal of Nonparameterized Statistics 6 (1996) 171-191.
    • (1996) Journal of Nonparameterized Statistics , vol.6 , pp. 171-191
    • Dahlhaus, R.1
  • 6
    • 28044449583 scopus 로고    scopus 로고
    • LAN theorem for non-Gaussian locally stationary processes and its applications
    • J. Hirukawa and M. Taniguchi, LAN theorem for non-Gaussian locally stationary processes and its applications, Journal of Statistical Plan. Inf. 136 (2006) 640-688.
    • (2006) Journal of Statistical Plan. Inf , vol.136 , pp. 640-688
    • Hirukawa, J.1    Taniguchi, M.2
  • 10
    • 0002383748 scopus 로고
    • The asymptotic distribution of the likelihood ratio for autoregressive time series with a regression trend
    • A. R. Swensen, The asymptotic distribution of the likelihood ratio for autoregressive time series with a regression trend, Journal of Multivariate Analysis 16 (1985) 54-70.
    • (1985) Journal of Multivariate Analysis , vol.16 , pp. 54-70
    • Swensen, A.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.