過程廣泛應用在金融產品的評價後，無論是商品訂價或相關避險比例的計算，皆與利率模型息息相關。故以隨機過程理論為基礎發展出來的利率模型，在財務工程領域上佔有一席之地。
Chen and Scott(1995)提出的方法，用Kalman Filter分別估計出多因子CIR、多因子Vasicek利率模型的參數，並比較兩模型對美國國庫券殖利率的預測效果。此外，將多因子CIR模型配合GARCH選擇權評價模型，導引出新的GARCH-CIR隨機利率選擇權評價模型，藉由蒙地卡羅模擬法對S&P500歐式買權訂價，並與現存其他模型相比較。

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