在本篇文章中我們希望能建構一個以NDF貨幣為主的利差交易最適交易策略，並將以往使UIP無法成立的各種因素利用羅吉斯迴歸模型及線性迴歸模型融合成一個平倉指標，用以適時地結清部位甚至反向操作，並審視各種變數進入平倉指標對於報酬的預測能力，以期此交易策略能夠達到更高的報酬表現。
而實證結果顯示反映資本控制程度的受拋補利差(Covered Interest Differential)與市場流動性風險指標之一的泰德價差(TED Spread)能有效捕捉重大虧損的發生，投資組合利差(Carry)對於報酬也有顯著影響但程度不如受拋補利差。此外也發現使用多頭策略(Long-Netural)相對於多空策略(Long-Short)能到更高的夏普值，而利用所選變數在每周針對逐一貨幣篩選也會比單純判斷每周是否進行利差交易得到更好的夏普值。

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