本論文使用Longstaff, F.和 E. Schwartz在2001年所發展出來的Least- Square Monte-Carlo simulation approach 來估計美式利率交換選擇權。在此研究出來之前,蒙地卡羅模擬僅能運用於歐式選擇權的訂價,因無法判斷最佳提前履約點而不能解決美式選擇權的提前履約決策問題。而Longstaff和Schwartz 提出的LSM演算法正好可以有效預測出每個標的物路徑的最佳期望履約時點,並且不侷限於自變數個數的選取也不需路徑獨立的假設,而能透過價值最大化的過程有效計算出美式選擇權的價格。 以往美式利率交換選擇權的評價往往僅運用傳統美式選擇權的數值方法計算,忽略了過程中利率的變化對折現因子的影響效果,本論文將此影響考慮進入模型,以增加結果的正確性,並針對傳統方法和折現因子改良後的價值做出比較和因果分析。
We use the Least- Square Monte-Carlo simulation approach (Longstaff, F., E. Schwartz, 2001) to evaluate the American interest rate swaptions. Before this approach was developed, Monte-Carlo simulation could only be used in pricing the European options. Unable to help make optimal decisions for early exercise, it couldn’t apply to American options pricing. LSM could solve the problems above, provide a pathwise approximation to the optimal stopping rule that maximize the value of the American option regardless of if the underlying asset is path-dependent or not and how many stochastic variables are involved in the moving process. In previous studies about American swaptions, people are used to estimate cash flows’ present value by fixed, predetermined discounting factor without concerning how the discounter will change during the contract period. In this thesis, we take this situation into account to help improve the precision of the estimated value, and then analyze the influence occurred by our discounting rate adjustment.