Relativization of time and a new correlation analysis
Project/Area Number |
24650148
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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 | The University of Tokyo |
Principal Investigator |
YOSHIDA Nakahiro 東京大学, 数理(科)学研究科(研究院), 教授 (90210707)
|
Project Period (FY) |
2012-04-01 – 2015-03-31
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Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
|
Keywords | 統計数学 / 解析学 / 非同期共分散推定量 / リード・ラグ / 非同期観測 / 共分散 |
Outline of Final Research Achievements |
Statistical properties, implementation and applications of the lead-lag index were investigated. For modeling of market microstructure applicable to the price model and the limit order book, a point process regression model was proposed and limit theorems of the maximum likelihood type estimator for the model were obtained. The lead-lag between two stochastic processes is captured by the coefficients of the Hawkes type intensity functions. A stochastic regression model was presented and it was shown that this model can be a basic model that expresses nonlinear relations at the volatility.
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Report
(4 results)
Research Products
(20 results)
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[Journal Article] The YUIMA Project: A Computational Framework for Simulation and Inference of Stochastic Differential Equations2014
Author(s)
A. Brouste, M. Fukasawa, H. Hino, S. M. Iacus, K. Kamatani, Y. Koike, H. Masuda, R. Nomura, T. Ogihara, Y. Shimizu, M. Uchida, N. Yoshida
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Journal Title
Journal of Statistical Software
Volume: 57, no. 4
Pages: 1-51
Related Report
Peer Reviewed
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[Journal Article] The yuima project: A computational framework for simulation and inference of stochastic differential equations2014
Author(s)
Brouste, A., ,Fukasawa, M., Hino, H., Iacus, S., Kamatani, K., Koike, Y., Masuda, H., Nomura, R., Ogihara, T., Shimuzu, Y., Uchida M., and Yoshida, N.
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Journal Title
Journal of Statistical Software
Volume: 57
Related Report
Peer Reviewed
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