stochastic volatility model

基本解釋

Aimed at this case, this paper try to construct a simple stochastic volatility model— volatility following a finite Markov chain.
針對(duì)這種情況，本文試圖建立一種比較簡單的隨機(jī)波動(dòng)率模型—— 波動(dòng)率服從有限馬氏鏈的模型。
The author further compares the ASVJD model with the Geometric Brownian model, CKLS model, Geometric Brownian with Jump model and the Affine Stochastic Volatility model in demonstration.
同時(shí)，分別將其與幾何布朗運(yùn)動(dòng)模型、CKLS模型、帶跳躍的幾何布朗運(yùn)動(dòng)模型和仿射隨機(jī)波動(dòng)模型進(jìn)行了比較研究。
Empirical results on Chinese stock market indicate that stochastic volatility model based on the two index outperforms those based on one index in capturing volatility character and market risk.
利用中國股市數(shù)據(jù)進(jìn)行的實(shí)證結(jié)果表明，與單測度指標(biāo)的隨機(jī)波動(dòng)率模型相比，基于兩個(gè)測度指標(biāo)的隨機(jī)波動(dòng)率模型能更好地描述股票市場波動(dòng)率和市場波動(dòng)風(fēng)險(xiǎn)。