博碩士論文 104225025 完整後設資料紀錄

DC 欄位 語言
DC.contributor統計研究所zh_TW
DC.creator李權峰zh_TW
DC.creatorChuan-Fong Leeen_US
dc.date.accessioned2017-7-6T07:39:07Z
dc.date.available2017-7-6T07:39:07Z
dc.date.issued2017
dc.identifier.urihttp://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=104225025
dc.contributor.department統計研究所zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract本文中,我們引用了一個混合常態模型來分析股票市場跟選擇權市場的關係。觀察在加入隱含波動率的訊息之後,混合常態模型的波動率是否有影響,而我們檢驗的方式是建立信賴區間去看他的變化,在模擬跟實證都是使用的是貝氏估計來探討,最後發現加入隱含波動率這個動作,確實減少了混合常態模型整體 波動率的信賴區間長度,估計值也變精準,也說明了選擇權跟股票市場在混合常態模型估計下會互相影響。zh_TW
dc.description.abstractIn this paper, we use a mixture normal model to analyze the relationship between the stock market and the option market. Observe after adding the implied volatility, whether the volatility of the mixture normal model has an effect and the way we test is to establish a confidence interval to see its changes. In the simulation and empirical study are using the Bayesian estimate to explore. Finally found to join the implied volatility, does reduce the confidence interval length of total volatility and estimates are more accurate, also shows that the option and the stock market under the mixture normal model will affect each other.en_US
DC.subject混合常態模型zh_TW
DC.subject隱含波動率zh_TW
DC.subject貝氏估計zh_TW
DC.subject信賴區間zh_TW
DC.subject選擇權市場zh_TW
DC.subject股票市場zh_TW
DC.title在混和常態模型下使用貝氏方法估計參數在股票和選擇權資料zh_TW
dc.language.isozh-TWzh-TW
DC.titleBayesian parameter estimation using stock and option data under Mixture Normal Modelsen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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