English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113311/144292 (79%)
Visitors : 50937651      Online Users : 924
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 金融學系 > 學位論文 >  Item 140.119/118243
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/118243


    Title: 匯率類店頭衍生性商品集中結算 : 目標可贖回遠期契約評價模式與保證金計算
    Central Clearing of OTC Foreign Exchange Derivatives: The Pricing and Margin Models of Target Redemption Forwards
    Authors: 何傑操
    He, Jie-Cao
    Contributors: 林士貴
    陳亭甫

    Lin, Shih-Kuei
    Chen, Ting-Fu

    何傑操
    He, Jie-Cao
    Keywords: 目標可贖回遠期契約
    保證金模型
    Target redemption forward
    Hull and white
    Margin model
    VaR
    GARCH
    Date: 2018
    Issue Date: 2018-07-03 17:27:05 (UTC+8)
    Abstract: 隨著金融商品的發展,衍生性金融商品的交易逐漸成為金融市場的主要交易商品,也使得金融行銷部門(TMU)成為各大銀行獲利的主要來源。在台灣的衍生性商品交易市場中,目標可贖回遠期契約(TRF)是最受投資人歡迎的產品之一。目標可贖回遠期契約是一種投資人與銀行對賭人民幣兌美元匯率的升貶的外匯選擇權契約。由於人民幣兌美元在2011年至2014年初持續升值,讓投資人獲得巨額利潤,吸引投資人簽訂超出其風險承受範圍的契約金額。然而,2014年初至2018年,人民幣持續貶值,導致所有投資人產生巨額虧損。
    大量文獻指出,店頭類衍生性商品應當納入集中結算。本文先使用Hull and White模型構建目標可贖回遠期契約的評價模式,然後基於評價模式得到之價格,配適出相對較佳的保證金模型。
    With the development of financial commodities, the trading of financial derivatives have gradually become the main trading commodity of the financial market, and the Treasury Market Unit (TMU) has become the main source of profit for each banks.
    In Taiwan`s derivatives trading market, the Target Redemption Forward (TRF) is one of the most popular products for investors. TRF is a foreign exchange option contract between the investor and the bank to gamble the exchange rate of the CNY against the USD. As the RMB continued to appreciate against the US dollar from 2011 to the beginning of 2014, investors were given huge profits, attracting investors to sign contracts that exceeded their risk tolerance. However, from the beginning of 2014 to 2018, the CNY continued to depreciate, causing huge losses for all investors.
    A large number of researches pointed out that OTC derivative commodities should be included in centralized settlement. In this paper, firstly, the Hull and White model is used to construct the pricing model of TRF, and then a relatively better margin model is fitted based on the price obtained by the pricing model.
    Reference: 1. Agarwal, V., & Naik, N. Y. (2004, 1 1). Risks and Portfolio Decisions Involving Hedge Funds. The Review of Financial Studies, 17(1), pp. 63-98.
    2. Alexander, G. J., & Baptista, A. M. (2004, 9 1). A Comparison of VaR and CVaR Constraints on Portfolio Selection with the Mean-Variance Model. Management Science, 50(9), pp. 1261-1273.
    3. Ammann, M., Kind, A., & Wilde, C. (2008, 3). Simulation Based Pricing of Convertible Bonds. Journal of Empirical Finance, 19(2), pp. 310-331.
    4. Anson, M. J., Fabozzi, F. J., Choudhry, M., & Chen, R.-R. (2004). Credit Derivatives: Instruments, Applications, and Pricing. Wiley.
    5. Balkema, A. A., & Haan, L. d. (1974, 10). Residual Life Time at Great Age. The Annals of Probality, 2(5), pp. 792-804.
    6. Bielecki, T. R., & Rutkowski, M. (2004). Credit Risk: Modeling, Valuation, and Hedging. Springer.
    7. Bollerslev, T. (1986, 4). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), pp. 307-327.
    8. Bollerslev, T. (1987, 8). A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return. The Review of Economics and Statistics, 69(3), pp. 542-547.
    9. Booth, G. G., Broussard, J. P., Martikainen, T., & Puttonen, V. (1997, 8 1). Prudent Margin Levels in the Finnish Stock Index Futures Market. Management Science, 43(8), pp. 1177-1188.
    10. Brigo, D., & Mercurio, F. (2006). Interest Rate Models-Theory and Practice: with Smile, Inflation and Credit. Springer.
    11. Brooks, C., Clare, A., Dalle Molle, J., & Persand, G. (2005, 3). A Comparison of Extreme Value Theory Approaches for Determining Value at Risk. Journal of Empirical Finance, 12(2), pp. 339-352.
    12. Carvalhal, A., & Mendes, B. V. (2003, 10 1). Value-at-Risk and Extreme Returns in Asian Stock Markets. International Journal of Business, 8(1), pp. 17-40.
    13. Chang, C.-C., Huang, W.-Y., & Shyu, S.-D. (2012, 11). Pricing Mortgage Insurance with Asymmetric Jump Risk and Default Risk: Evidence in the U.S. Housing Market. The Journal of Real Estate Finance and Economics, 45(4), pp. 846-868.
    14. Chen, H. (2003, 1 7). Price Limits and Margin Requirements in Futures Markets. Financial Review, 37(1), pp. 105-121.
    15. Choudhry, M. (2005). Fixed-Income Securities and Derivatives Handbook: Analysis and Valuation. Wiley.
    16. Cotter, J. (2001, 8). Margin Exceedances for European Stock Index Futures Using Extreme Value Theory. Journal of Banking & Finance, 25(8), pp. 1475-1502.
    17. Cotter, J., & Dowd, K. (2006, 12). Extreme Spectral Risk Measures: An Application to Futures Clearinghouse Margin Requirements. Journal of Banking & Finance, 30(12), pp. 3469-3485.
    18. Craine, R. (1992, 4). Are Futures Margins Adequate? University of California Berkeley Working Paper, No. 92-192.
    19. Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. The Annals of Statistics, 7(1), pp. 1-26.
    20. Engle, R. F. (1982, 7). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4), pp. 97-1007.
    21. Fabozzi, F. J. (2007). Fixed Income Analysis. Wiley.
    22. Favre, L., & Galeano, J.-A. (2002, 9). Mean-Modified Value-at-Risk Optimization with Hedge. Journal of Alternative Investments, 5(2), pp. 21-25.
    23. Fernandez, V. (2005). Risk Management Under Extreme Events. International Review of Financial Analysis, 14(2), pp. 113-148.
    24. Fishe, R. P., & Goldberg, L. G. (1986). The Effect of Margins on Trading in Futures Markets. Journal of Futures Markets, 2, pp. 261-271.
    25. Gay, G. D., Hunter , W. C., & Kolb, R. W. (1986). A Comparative Analysis of Futures Contract Margins. Journal of Futures Markets, 6(2), pp. 307-324.
    26. Gençay, R., & Selçukc, F. (2004). Extreme Value Theory and Value-at-Risk: Relative. International Journal of Forecasting, 20(2), pp. 287-303.
    27. Glosten, L. R., Jagannathan, R., & Ru, D. E. (1993, 12). On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. The Journal of Finance, 48(5), pp. 1779-1801.
    28. Haan, L. D., & Resnick, S. I. (1980). A Simple Asymptotic Estimate for the Index of A Stable Distribution. Journal of the Royal Statistical Society. Series B (Methodological), 42(1), pp. 83-87.
    29. Hardouvelis, G. A. (1990, 9). Margin Requirements, Volatility, and the Transitory Component of Stock Prices. The American Economic Review, 80(4), pp. 736-762.
    30. Hill, B. M. (1975). A Simple General Approach to Inference about the Tail of A Distribution. The Annals of Statistics, 3(5), p. M.
    31. Huisman, R., Koedijk, K. G., & Pownall, R. A. (1998). VaR-x: Fat tails in financial. Journal of Risk, 1(1), pp. 47-61.
    32. Huisman, R., Koedijk, K. G., Kool, C. J., & Palm, F. (2001). Tail-Index Extimates in Small Samples. Journal of Business & Economic Statistics, 19(2), pp. 208-216.
    33. Hull, J., & White, A. (1990, 10 1). Pricing Interest Rate Derivatives Securities. The Review of Financial Studies, 3(4), pp. 573-592.
    34. Hull, J., & White, A. (1994). Numerical Procedures for Implementing Term Structure Models I: Single Factor Models. The Journal of Derivatives, 2(1), pp. 7-16.
    35. Hull, J., & White, A. (1998). Incorporating Volatility Updating into the Historical Simulation Method for Value at Risk. Journal of Risk, pp. 5-19.
    36. Jarrow, R., & Yildirim, Y. (2003, 6). Pricing Treasury Inflation Protected Securities and Related Derivatives using an HJM Model. Journal of Financial and Quantitative Analysis, 38(2), pp. 337-358.
    37. Jorion, P. (2001). Value at Risk (Second ed.). New York: McGraw Hill.
    38. Kladívko, K. (2010). The Czech Treasury Yield Curve From 1999 to the Present. Journal of Economics and Finance, 60(4), pp. 307-335.
    39. Krasimir, M., Kounchev, O., Fabozzi, F. J., Kim, Y., & Rachev, S. T. (2013). A Binomial Tree Model for Convertible Bond Pricing. The Journal of Fixed Income, 22(3), pp. 79-94.
    40. Kupiec, P. (1995). Techniques for Verifying the Accuracy of Risk Measurement Models. Social Science Electronic Publishing, 3(2), pp. 73-84.
    41. Lam, K., Sin, C.-Y., & Leung, R. (2003). A Theoretical Framework to Evaluate Different Margin‐Setting Methodologies. Journal of Futures Markets, 24(2), pp. 117-145.
    42. Li, D. X. (1999). Value at Risk Based on the Volatility, Skewness and Kurtosis. Working Paper, Riskmetrics Group.
    43. Linsmeier, T. J., & Pearson, N. D. (1996). Risk Measurement: An Introduction to Value at Risk. Working Paper.
    44. Longstaff, F. A., & Schwartz, E. S. (2001, 1 1). Valuing American Options by Simulation: A Simple Least Squares Approach. The Review of Financial Studies, 13(1), pp. 113-147.
    45. Longstaff, F. A., Mithal, S., & Neis, E. (2005, 9 16). Corporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit Default Swap Market. The Journal of Finance, 60(5), pp. 2213-2253.
    46. McNeil, A. J., & Frey, R. (2000). Estimation of Tail-Related Risk Measures for Heteroscedastic Financial Time Series: An Extreme Value Approach. Journal of Empirical Finance, 7(3-4), pp. 271-300.
    47. Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 2, pp. 347-370.
    48. Nieppola, O. (2009). Backtesting Value-at-Risk models. Master’s thesis in Economics, Helsinki School of Economics.
    49. Pickands, J. (1975). Statistical Inference Using Extreme Order Statistics. The Annals of Statistics, 3(1), pp. 119-131.
    50. RiskMetrics Group. (1996). RiskMetrics-Technical Document. New York: J.P.Morgan/Reuters.
    51. Rockafellar, R. T., & Uryasev, S. (2000). Optimization of Conditional Value-at-Risk. Journal of risk, 2(3), pp. 21-41.
    52. Svensson, L. E. (1994). Estimating and Interpreting Forward Interest Rates: Sweden 1992 - 1994. Working Paper, National Bureau of Economic Research.
    53. Vasicek, O. (1977, 11). An Equilibrium Characterization of the Term Structure. Journal of Financial Economics, 5(2), pp. 177-188.
    54. 鮑建平. (2004). 國內外期貨市場保證金制度比較研究及其啟示. 世界經濟, 12, 页 65-69.
    55. 鮑建平, 王乃生, & 吳衡鋒. (2005). 上海期銅保證金水準設計的實證研究. 系統工程理論方法應用, 14(1), 页 33-36.
    56. 戴光懿, 畢鵬, & 任潔. (2014). 中美期貨保證金制度差異的探討. 期貨日報, 3.
    57. 黃瑋苓, & 劉德明. (2013). 組合式保證金系統之改良與比較:以TAIFEX 交易資料實證. 中山管理評論, 21, 页 11-53.
    58. 蔣賢鋒, 史永東, & 李慕春. (2007). 期貨市場保證金調整的市場風險控制作用及制度改革-來自大連商品交易所的實證分析. 金融研究, 2, 页 74-88.
    59. 廖宗武. (2006). 期貨動態保證金結算制度研究. 碩士學位論文,西南財經大學.
    60. 劉德明, & 戴良安. (2007). 股票衍生性商品組合保證金系統之建構與比較. 中山管理評論, 15, 页 780-817.
    61. 台灣金融研訓院編輯委員會. (2015). 《結構型商品理論與實務》. 3: 財團法人台灣金融研訓院.
    62. 王文龍, & 程希駿. (2011). 基於普風險測度的期指保證金水準設定. 中國科學技術, 41(12), 页 1042-1046.
    63. 中國社會科學院金融所. (2016). 《金融藍皮書:中國金融發展報告(2016)》. 社會科學文獻出版社.
    Description: 碩士
    國立政治大學
    金融學系
    105352036
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0105352036
    Data Type: thesis
    DOI: 10.6814/THE.NCCU.MB.010.2018.F06
    Appears in Collections:[金融學系] 學位論文

    Files in This Item:

    There are no files associated with this item.



    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback