博碩士論文 102428032 完整後設資料紀錄

DC 欄位 語言
DC.contributor財務金融學系zh_TW
DC.creator吳晉賢zh_TW
DC.creatorChin-Hsien Wuen_US
dc.date.accessioned2015-7-3T07:39:07Z
dc.date.available2015-7-3T07:39:07Z
dc.date.issued2015
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=102428032
dc.contributor.department財務金融學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract使用Heston模型對結構型商品訂價前,有兩個重要的前置作業:參數校準及模擬。首先是參數校準,本文利用最小平方法,進而探討在對損失函數加入不同的權重(1、vega及1/vega)、不同類型商品(匯率及股權)及市場環境(空頭及多頭)之下,何種校準效果最好。最後得到空頭市場優於多頭市場、匯率型商品優於股權型商品及權重為1優於另外兩種的結果。此外,本文亦觀察在連續天數之下,校準出來的參數是否穩定,其結果是會受到每天市場訊息的影響,故不穩定;另外是模擬的部分,本文使用Euler法展開標的資產的路徑,在劃分不同的模擬期數之下,探討蒙地卡羅模擬法在Heston與BS模型中的差異。最後可以得到不論劃分期數為何,兩種模型模擬之結果差異不大。zh_TW
dc.description.abstractBefore we use Heston model to price structured products, there are two important things we need to do first. One is calibration , and the other is simulation. In the thesis, we use the least square method to adjust the parameters. We find that the bear market is better than the bull market, while the FX linked note are better than equity linked note in parameters calibration. Besides, we also find that our result is not stable. It will be affected by daily market information. In order to differentiate Heston model from BS model in Monte Carlo, we use Euler method to simulate those. We find that there is no difference between the two models.en_US
DC.subjectHeston模型zh_TW
DC.subjectBlack-Scholes模型zh_TW
DC.subject參數校準zh_TW
DC.subject模擬zh_TW
DC.subjectHeston modelen_US
DC.subjectBlack-Scholes modelen_US
DC.subjectCalibrationen_US
DC.subjectSimulationen_US
DC.title隨機波動度下選擇權訂價模型之探討- 以股權及匯率結構型商品為例zh_TW
dc.language.isozh-TWzh-TW
DC.titlePrincing Options on Stochastic Volatility Model: Based on Equity Linked Note and FX Linked Noteen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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