1999 Fiscal Year Final Research Report Summary
Stochastic Model of Floating Interest rate and positive research
| Project/Area Number |
09440074
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
General mathematics (including Probability theory/Statistical mathematics)
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| Research Institution | ATHE UNIVERSITY OF TOKYO |
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Principal Investigator |
KUSUOKA Shigeo GARADUATE SCHOOL OF MATHEMATICAL SCIENCE, THE UNIVERSITY OF TOKYO, PROFESSOR, 大学院・数理科学研究科, 教授 (00114463)
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| Co-Investigator(Kenkyū-buntansha) |
TAKAHASHI Akihiko GARADUATE SCHOOL OF MATHEMATICAL SCIENCE, THE UNIVERSITY OF TOKYO, ASSOCIATE PROFESSOR, 大学院・数理科学研究科, 助教授 (50313226)
YOSHIDA Nakahiro GARADUATE SCHOOL OF MATHEMATICAL SCIENCE, THE UNIVERSITY OF TOKYO, ASSOCIATE PROFESSOR, 大学院・数理科学研究科, 助教授 (90210707)
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| Project Period (FY) |
1997 – 1999
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| Keywords | floating interest rate / interest rate model / default risk / mathematical finance / diffusion model |
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| Research Abstract |
The purpose of this research was to do theoretical and positive research on stochastic partial differential equation models begun recently. We were planning to think of only government bond or LIBOR which are supposed to be riskless. However, quite recently people got interested in so-called credit derivatives concerning defaultable bonds. So we slightly changed our plan and thought of model containing default probability.
First we showed the existence and uniqueness of solution to stochastic partial differential equations related to interest rate under certain conditions for boundary conditions and coefficients. Also, we gave a condition so that the solution remains in positive range.
Next we did theoretical research on prices of defaultable bonds. Here we gave a counter-example for a formula which people widely believed on the relationship between hazard rate processes and conditional default probabilities. Also, we gave a formula on hazard rate process in continuous-time filtering models.
In mathematical finance, practically important formula for prices are given in terms of expectations. In estimates of statistical parameters, it is important to compute such expectations precisely and rapidly. We introduced a new numerical computation method in diffusion models, which are rather restrictive but widely used, and we showed that it is quite effective theoretically. In computing hedging strategies, we need more complicated expectations, but the research of them are postponed to the future.
The statistical consideration for stochastic process models will be getting important more and more. Our plan contained the construction of a theory for it. In this respect we only got an asymptotic expansion formula related to convergence of probability law of additive functionals for hypo-elliptic diffusion processes.
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