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研究生:周庭萱
研究生(外文):Chou, Ting-Hsuan
論文名稱:在離散時間下的Optimal Variance Hedging
論文名稱(外文):Optimal Variance Hedging in Discrete Time
指導教授:許元春許元春引用關係
指導教授(外文):Sheu, Yuan-Chung
口試委員:許元春、陳冠宇、盧鴻興
口試委員(外文):Sheu, Yuan-Chung、Chen, Guan-Yu、Lu, Horng-Shing
口試日期:2015-06-24
學位類別:碩士
校院名稱:國立交通大學
系所名稱:應用數學系數學建模與科學計算碩士班
學門:數學及統計學門
學類:數學學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:英文
論文頁數:33
中文關鍵詞:最佳二次避險的策略、離散時間
外文關鍵詞:Optimal variance hedging、Discrete time
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在完備 (complete) 的市場機制裡,每一個或有索取權 (contingent claim) 的價值都可以被一個自我融資交易 (self-financing) 的策略完全複製。然而,當我們的交易時間限制為離散的情況下,就只有 Cox Ross Rubinstein (CRR) 二項樹模型是一個完備的市場,其他的模型都不符合完備市場的機制。因此,在交易時間點為離散時間且不完備的市場機制下,我們希望可以找出最佳二次避險的策略 (optimal variance hedging)。本文探討在 Black-Scholes (歐式) 選擇權定價模型 (以 European call option 為例),當限制資產配置不為連續時,如何利用遞迴公式解求出最佳化的避險策略表示式,並且與 Black-Scholes 架構下的 delta 避險策略做比較。
In the complete market, each contingent claim can be replicated by some self-financing strategy perfectly. However, as time horizon is discrete, the only complete market is the Cox Ross Rubinstein (CRR) model which is drawn by the binomial tree framework. For the line of this research, we concern on the hedging in the discrete time horizon. We solve the explicit formula of the optimal-variance hedging strategy in the Black-Scholes market but the asset allocation is no more continuous. Also, we give the simulation analysis to compare the optimal-variance hedging strategy and the delta hedging.
中文摘要i
英文摘要ii
誌謝iii
1 Introduction 1
2 Model Setup and Local Quadratic Risk 3
3 Optimal Variance Hedging 7
4 Examples 13
4.1 Black-Scholes Model under Martingale Measure . . . . . . . . . . . . 13
4.2 Black-Scholes Model Under Physical Measure . . . . . . . . . . . . . 16
5 Simulation 22
6 Conclusion 31
References 31
[1] F. Black and M. Scholes, “The pricing of options and corporate liabilities,” The
journal of political economy, pp. 637–654, 1973.
[2] R. C. Merlon, “Theory of rational option pricing,” Theory of Valuation: Frontiers
of Modern Financial Theory, vol. 1, p. 229, 1989.
[3] H. Follmer and A. Schied, Stochastic finance: an introduction in discrete time.
Walter de Gruyter, 2011.
[4] J. C. Cox, S. A. Ross, and M. Rubinstein, “Option pricing: A simplified approach,”
Journal of financial Economics, vol. 7, no. 3, pp. 229–263, 1979.
[5] N. Bouleau and D. Lamberton, “Residual risks and hedging strategies in markovian
markets,” Stochastic Processes and their Applications, vol. 33, no. 1,
pp. 131–150, 1989.
[6] D. Duffie and H. R. Richardson, “Mean-variance hedging in continuous time,”
The Annals of Applied Probability, pp. 1–15, 1991.
[7] M. Schal, “On quadratic cost criteria for option hedging,” Mathematics of operations
research, vol. 19, no. 1, pp. 121–131, 1994.
[8] M. Schweizer, “Variance-optimal hedging in discrete time,” Mathematics of
Operations Research, vol. 20, no. 1, pp. 1–32, 1995.
[9] A. V. Melnikov and M. L. Nechaev, “On the mean-variance hedging problem,”
Theory of Probability &; Its Applications, vol. 43, no. 4, pp. 588–603, 1999.
[10] F. Angelini and S. Herzel, “Explicit formulas for the minimal variance hedging
strategy in a martingale case,” Decisions in economics and finance, vol. 33,no. 1, pp. 63–79, 2010.
[11] V. Chellaboina, A. Bhatia, and S. P. Bhat, “Explicit formulas for optimal hedging
stratergies for european contingent claims,” in Computational Intelligence
for Financial Engineering &; Economics (CIFEr), 2013 IEEE Conference on,
pp. 122–127, IEEE, 2013.
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