天堂国产午夜亚洲专区-少妇人妻综合久久蜜臀-国产成人户外露出视频在线-国产91传媒一区二区三区

當(dāng)前位置:主頁 > 經(jīng)濟(jì)論文 > 投融資論文 >

幾種隨機(jī)波動(dòng)率模型及其比較

發(fā)布時(shí)間:2018-03-02 14:32

  本文選題:期權(quán)定價(jià)模型 切入點(diǎn):樣本內(nèi)定價(jià) 出處:《華中師范大學(xué)》2014年碩士論文 論文類型:學(xué)位論文


【摘要】:隨著全球經(jīng)濟(jì)一體化和金融市場(chǎng)的飛速發(fā)展,金融領(lǐng)域衍生產(chǎn)品越來越多,也變得越來越重要,其中期權(quán)就是人們廣泛使用的一種金融工具。期權(quán)按執(zhí)行時(shí)間方式可分為歐式和美式期權(quán),美式期權(quán)的持有者可以在期權(quán)有效期內(nèi)任何時(shí)間行使權(quán)力,歐式期權(quán)只能在到期日?qǐng)?zhí)行。期權(quán)賦予持有者做某件事的權(quán)利,持有者不一定必須行使該權(quán)利。對(duì)于歐式期權(quán),BS模型就是市場(chǎng)上一種比較成熟的期權(quán)定價(jià)模型,它假設(shè)期權(quán)的標(biāo)的股票價(jià)格服從幾何布朗運(yùn)動(dòng),同時(shí)假定股票的價(jià)格的波動(dòng)率為常數(shù),而這與市場(chǎng)的真實(shí)情況并不相符。實(shí)際上,由期權(quán)的市場(chǎng)價(jià)格得到的隱含波動(dòng)率并不為常數(shù),而是隨期權(quán)的行使價(jià)格和到期日的變化而變化,這就是人們所觀察到的“波動(dòng)率微笑”現(xiàn)象。為了彌補(bǔ)BS模型的不足,研究者們提出了大量的改進(jìn)模型,其中又以隨機(jī)波動(dòng)率期權(quán)定價(jià)模型為主,這些模型對(duì)期權(quán)定價(jià)理論的研究和發(fā)展產(chǎn)生了深遠(yuǎn)的影響。 本文研究了當(dāng)隨機(jī)波動(dòng)率引入以后,關(guān)于SP500股指期權(quán)定價(jià)方法的改進(jìn),我們實(shí)證比較了四種隨機(jī)波動(dòng)率期權(quán)定價(jià)模型(1)AHBS模型(2)GARCH模型(3)SV模型(4)VG模型。實(shí)證結(jié)果表明SV模型在樣本內(nèi)定價(jià)和樣本外定價(jià)的表現(xiàn)都要優(yōu)于其它模型;通過在值程度觀察,所有模型虛值期權(quán)的定價(jià)誤差均較高,并且隨著虛值期權(quán)向?qū)嵵灯跈?quán)轉(zhuǎn)變時(shí),其定價(jià)誤差也在不斷地減;根據(jù)期權(quán)在值程度的分類情況,隨機(jī)波動(dòng)率模型擬合“波動(dòng)率微笑”更好,但在定價(jià)誤差上,并不比BS模型好多少。
[Abstract]:With the rapid development of global economic integration and financial markets, more and more derivative products in the financial field are becoming more and more important. Option is a kind of financial instrument widely used by people. It can be divided into European option and American option according to the execution time. The holder of American option can exercise power at any time during the period of validity of the option. The European option can only be executed on the maturity date. The option gives the holder the right to do something, and the holder does not have to exercise that right. It assumes that the underlying stock price of the option is driven by geometric Brownian motion, while the volatility of the stock price is assumed to be constant, which does not correspond to the real situation in the market. In fact, The implied volatility obtained from the market price of an option is not a constant, but changes with the exercise price and the maturity date of the option. This is the observed phenomenon of "volatility smile", in order to make up for the deficiency of BS model. Researchers have put forward a large number of improved models, including stochastic volatility option pricing model, these models have a profound impact on the research and development of option pricing theory. This paper studies the improvement of SP500 stock index option pricing method after the introduction of stochastic volatility. We have empirically compared four stochastic volatility option pricing models, I. e. 1 / AHBS model and / or GARCH model, respectively. The empirical results show that SV model performs better in both intra-sample pricing and out-of-sample pricing than other models, and the empirical results show that SV model performs better than other models in both intra-sample pricing and out-of-sample pricing, and the empirical results show that SV model performs better than other models in both intra-sample pricing and out-of-sample pricing. The pricing error of all model options is high, and the pricing error decreases continuously with the change of virtual value options to real value options, according to the classification of options in the degree of value, The stochastic volatility model fits "volatility smile" better, but the pricing error is not much better than that of BS model.
【學(xué)位授予單位】:華中師范大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:F830.91;O212.1

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 劉海龍,吳沖鋒;期權(quán)定價(jià)方法綜述[J];管理科學(xué)學(xué)報(bào);2002年02期



本文編號(hào):1556915

資料下載
論文發(fā)表

本文鏈接:http://www.sikaile.net/jingjilunwen/touziyanjiulunwen/1556915.html


Copyright(c)文論論文網(wǎng)All Rights Reserved | 網(wǎng)站地圖 |

版權(quán)申明:資料由用戶22be6***提供,本站僅收錄摘要或目錄,作者需要?jiǎng)h除請(qǐng)E-mail郵箱bigeng88@qq.com