Shrinkage Estimation Theory for Unbiased Estimators of Dependent Observations
Project/Area Number |
26540015
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Statistical science
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Research Institution | Waseda University |
Principal Investigator |
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Project Period (FY) |
2014-04-01 – 2017-03-31
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Project Status |
Completed (Fiscal Year 2016)
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Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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Keywords | 縮小推定量 / 最尤推定量 / 曲確率モデル / ポートフォリオ推測 / 金融時系列モデル / 非線形時系列モデル / 統計数学 / 時系列解析 / 不偏推定量 / 高次の漸近推測理論 / 金融時系列 / ポートフォリオ / 補間子 / 時系列モデル / 最適予測子 / 従属構造 |
Outline of Final Research Achievements |
Introducing a curved probability model,which includes a class of very general nonlinear time series models,we proposed a shrinkage estimator for unknown parameter of the curved probability models. Then we developed the third-order asymptotic estimation theory for the estimator, and provided a sufficient condition for the shrinkage estimator to improve the usualestimators. The results can be applied to the problem of portfolio coefficient estimation. Because the results are very general, we can apply them to a variety of statistical observations generated by multivariate financial time series, multivariate time series regression models and usual mulitivariate models.
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Report
(4 results)
Research Products
(57 results)
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[Journal Article] 年金運用における共和分検定を用いた最適ポートフォリオの推定2015
Author(s)
岸本桂一、山下隆、谷口正信
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Journal Title
ASTE, Research Institute for Science and Engineering, Waseda University, Special Issue " Financial and Pension Mathematical Science"
Volume: 12
Pages: 45-62
Related Report
Peer Reviewed
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