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2015 Fiscal Year Final Research Report

Construction of stochastic volatility model based on realized volatility distribution and its application

Research Project

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Project/Area Number 25330047
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Statistical science
Research InstitutionHiroshima University of Economics

Principal Investigator

Takaishi Tetsuya  広島経済大学, 経済学部, 教授 (60299279)

Project Period (FY) 2013-04-01 – 2016-03-31
Keywordsマルコフ連鎖モンテカルロ法 / ハイブリッドモンテカルロ法 / SVモデル / GPU計算 / 実現ボラティリティ / OpenACC
Outline of Final Research Achievements

We investigated properties of the realized volatility calculated with various sampling times. The hybrid Monte Carlo algorithm that infers the realized stochastic volatility model was developed. Since the hybrid Monte Carlo algorithm can be parallelized we made a program that executes the GPU calculation. We find that the GPU calculation is faster than the CPU calculation on a personal computer. We also use the OpenACC that enables us to make a GPU program easily, and find that the computational speed of the OpenACC is comparable with that of the CUDA.

Free Research Field

計算科学

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Published: 2017-05-10  

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