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| Title: | 店頭市場匯率類衍生性商品集中結算之保證金模型研究
Research on central clearing margin methodologies of OTC foreign exchange derivatives |
| Authors: | 奚亞楠 |
| Contributors: | 林士貴
奚亞楠 |
| Keywords: | 保證金
外匯遠期
歷史模擬法
指數加權移動平均
一般化自我迴歸條件異質變異模型
Margin
Foreign Exchange Forwards
Historical Simulation
EWMA
GARCH |
| Date: | 2017 |
| Issue Date: | 2017-02-08 16:34:56 (UTC+8) |
| Abstract: | 2007年次貸危機後，店頭市場衍生性商品的標準化與集中結算成為各國主管機關關注的焦點。各國政府逐漸推動了金融改革方案，開始將店頭市場衍生性商品標準化並採取集中結算，並逐步擴大集中結算涵蓋的店頭商品種類，以有效減少市場上的曝險部位，於降低系統性風險。由於匯率的變動決定了外匯相關金融商品的價格變化，也同時連帶影響到企業盈與投資活動的獲利，因此匯率衍生性商品市場的活絡與風險管理更顯重要。本研究介紹了CME現行的計算店頭市場外匯類衍生性金融商品保證金的半參數模型，並從提高市場波動度預測能力入手，引入了自估參數的EWMA、GARCH與GJR-GARCH等波動度模型，進一步發展了該半參數模型。實證部分，本研究以歐元兌美元 (EUR/USD) 匯率遠期為例，對上述模型進行回溯測試。實證結果顯示，通過波動度調整歷史報酬率的半參數模型能夠改善一般歷史模擬法的缺陷，使保證金能夠跟隨市場波動而做出調整。而諸多半參數模型中，由GJR-GARCH預測波動度的歷史模擬法是表現最佳的模型，不僅能夠有效預估保證金水準，使得穿透率達到模型設定的要求，而且不論在買賣雙方還是在不同信心水準下都具備穩定性。
After the subprime mortgage crisis in 2007, standardization and centralized settlement of OTC derivatives became the focus of attention of various national authorities. Governments began to promote such financial reform programs, getting OTC derivatives being stadarsized and centrally cleared, and gradually expand the scope of centralized settlement of OTC derivatives. The reform aims to effectively reduce the exposure positions on the market and then reduce systemic risk. Since the exchange rate changes determine the price changes of foreign exchange-related financial products, and also affect the profitability of corporate earnings and investment activities, risk management of the foreign exchange rate derivatives market is more important. This paper introduces the semi-parametric model for calculating CME`s current margin of OTC foreign exchange derivatives, and further developes the model by introducing different volatility models such as EWMA, GARCH and GJR-GARCH to improve the ability of volatility forecasting. In the empirical part, this paper takes EUR/USD exchange rate forwards for example to test back the candidate models. The empirical results show that the semi-parametric models can improve the defects of the simple historical simulation method, adjusting the margin to follow the market fluctuation. As for the semi-parametric models, the semi-parametric GJR-GARCH historical simulation model has the best performance. It can effectively predict the margin level, making the penetration rate to set the model requirements, and has the best stability as well no matter for the buyers or sellers or in different levels of confidence. |
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| Description: | 碩士
國立政治大學
金融學系
104352038 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0104352038 |
| Data Type: | thesis |
| Appears in Collections: | [金融學系] 學位論文
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