透過您的圖書館登入
IP:18.224.32.86
  • 期刊

認購權證評價模式與避險部位之研究-混合式智慧型系統的應用

A Study of Applying Hybrid Intelligent Systems in the Warrant Pricing Model and Hedging Scheme

摘要


認購權證是選擇權的一種,提供投資人套利、避險等多樣化選擇。傳統選擇權訂價模式為一複雜之理論,訂價模式有許多限制,與實務上差距有待克服,因此本研究嘗試使用類神經網路建立認購權證評價模式。為避免差異,以Black-Scholes模式中,五項影響權證價格之因子為輸入變數,分別以倒傳遞網路與半徑式函數網路建立模式,並藉差異分析找出可改善學習績效之變數。由於各項風險係數具有模糊特性,在認權證的操作策略與避險部位上,採用類神經模糊技術來建構,由結論中可得知建制認購權證智慧型系統是可行的。

並列摘要


Warrant is a type of call option. It provides people with multiple choice in speculate behavior contain arbitrage and hedging. Traditional option pricing model was a complex theory, and had a lot of limitation and assumption wait for overcome. This study tries to use artificial neural network to build option-pricing model for warrant. In Black-Scholes pricing model, there was five variables impact the option price that we take to be the input variable in artificial neural network, both Back-Propagation Network (BPN) and Radial Basis Function Network (RBFN) are used. Base on the difference analysis, we find out another variable that can improve learning efficiency and affectivity. The reason why using NeuroFuzzy on warrants operation strategy and hedging position is that the hedging coefficient had fuzzy characteristic. However, NeuroFuzzy technology can take a turn for Artificial Neural Network can't do.

參考文獻


徐守德 Shyu, David So-De、官顯庭 Kuan, Hsien-Ting、黃玉娟 Huang, Yu-Chuan(1998)。台股認購權證定價之研究 Pricing Theory of Covered Warrants and Its Application: An Empirical Test of Taiwan Stock Market Related Call Warrants。管理評論 Management Review。17(2)
Beckers, S.(1980).The Constant Elasticity of Variance Model and Its Implications For Option Pricing.Journal of Finance.35
Bergerson, K.,Wunsch, D. C.(1991).IJCNN-91, I.
Black, F.,Scholes, M. S.(1973).The Pricing of Options and Corporate Liabilities.Journal of Political Economy.81(3)
Chen, Seras,Shahokhi, Manuchehr(1980).Pricing Nikkei Put Warrants: Some Empirical Evidence.The Journal of Finance.35

延伸閱讀