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外匯選擇權的定價與馬可夫鏈蒙地卡羅法的應用

Currency Option Pricing with Markov-Chain Monte-Carlo (MCMC) Applications

摘要


假設匯率在狀態轉換的架構下,本文應用馬可夫鏈蒙地卡羅法來評價歐式外匯選擇權。使用英鎊、瑞士法郎、澳幣及日圓等四國貨幣對美元匯率為例,我們發現傳統Black-Scholes的定價在資產價格遵循狀態轉換的過程下產生明顯的定價誤差。使用貝氏原理與吉普斯抽樣法,本文模型允許狀態轉換模型中的參數可存在隨機性。因此,本文模型可視為先前Bollen(1998)的五元樹的狀態轉換模型的一般化延伸。本文模型所計算出的預測選擇權價格所呈現的波動度微笑型態要比Bollen更接近於先前實証結果。

並列摘要


In this paper, we present a Markov-Chain Monte Carlo (MCMC) simulation method for valuing a European-style currency option in a regime-switching framework of exchange rate. Since the Bayesian inference via Gibbs sampling incorporates uncertainty associated with the underlying parameters of the regime-switching model, Our model generalizes the lattice-based regime-switching model by Bollen (1998). Using the sterling (to US dollar) Swiss franc, Australian dollar and Japanese yen, the Black-Scholes model is shown to generate significant pricing errors when a regime-switching process governs underlying asset returns. The computed predictive option pricing are shown to generate the implied volatility smiles commonly found in earlier empirical studies.

參考文獻


Amin, K.,Jarrow, R.A.(1991).Pricing Foreign Currency Options under Stochastic Interest Rates.Journal of International Money and Finance.10,310-329.
Working Paper
Bates, D.S.(2000).Post-'87 Crash Fears in S&P500 Futures Option Market.Journal of Econometrics.94,181-238.
Bauwens, L.,Lubrano, M.(1998).Bayesian inference on GARCH models using the Gibbs sampler.Econometrics Journal.1,23-46.
Bauwens, L.,Lubrano, M.(2002).Bayesian Option Pricing Using Asymmetric GARCH Models.Journal of Empirical Finance.9,321-342.

被引用紀錄


黃泰霖(2007)。隱含波動率曲面變動之預測分析-利用台指選擇權之實證〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2007.00375

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