政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/94396
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113325/144300 (79%)
Visitors : 51153343      Online Users : 959
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
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/94396


    Title: 白銀期貨的價格限制-以馬可夫鏈蒙地卡羅方法分析
    price limits in the silver futures market: a MCMC approach
    Authors: 鄭仲均
    Contributors: 謝淑貞
    鄭仲均
    Keywords: 價格限制
    風險值
    MCMC
    FIGARCH
    Date: 2006
    Issue Date: 2016-05-06 16:34:45 (UTC+8)
    Abstract: 在這篇論文中,我們運用馬可夫鏈蒙地卡羅(MCMC)方法來估計沒有價格限制下的白銀期貨價格。接著我們採用FIGARCH模型來計算VaR值,以進而評估估計成果。在本文中我們分別對三種不同分配下的FIGARCH模型計算VaR值,而實證結果顯示出在沒有價格限制下,白銀期貨有較好的估計結果。
    In this paper, we try to implement the MCMC method to simulate the price of the silver futures without price limits. Then we compute the VaR by using the FIGARCH model because of the long memory properties in our data. There are three distributions we use to estimate model and compute VaR. The empirical results show that the silver futures without price limits performs better in computing in-sample VaR.
    Reference: Baillie, R. T., Bollerslev, T., and Mikkelsen, H., 1996, Fractionally integrated generalized autoregressive conditional heteroskedasticity, Journal of Econometrics 74, 3-30.
    Barkoulas, J. T. and Baum, C. F., 1998, Long term dependence in stock returns, Working Paper, Department of Economics, Boston College, USA.
    Beine, M. and Laurent, S., 2003, Central bank interventions and jumps in double long memory models of daily exchange rate, Working Paper.
    Bollerslev, T., 1986, Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics 31, 307-327.
    Bollerslev, T. and Mikkelen, H. O., 1996, Modeling and pricing long memory in stock market volatility, Journal of Econometrics 73, 151-184.
    Brunetti, C. and Gilbert, C. L., 2000, Bivariate FIGARCH and fractional cointegration, Journal of Empirical Finance 7, 509-530.
    Chiu, J.-C, 2000, Implementing Markov Chain Monte Carlo in Econometrics, Working Paper, Graduate Institute of International Economics, National Chung Cheng University.
    Chou, C. H., 2000, The performance of VaR measurements- the empirical studies of currency exchange rates, Graduate Institute of Finance, Fu Jen Catholic University.
    Chou, P.-H and Wu, S.,1998, A further investigation of daily price limits, Journal of Financial Studies 16, 19-48
    Dempster, A.P., Laird, N.M., and Rubin, D.B. (1977), “Maximum Likelihood from
    Incomplete Data via the EM Algorithm,” Journal of the Royal Statistical Society,
    Ser. B., 39, 1–38.
    Dueker, M. and Asea, P. K., 1995, Non-monotonic long memory dynamics in black-market exchange rates, Working Paper, Federal Reserve Bank of ST. Louis.
    Engle, R. F., 1982, Autoregressive conditional heteroskedasticity with estimates of the variance of united kingdom inflation, Econometrica 50, 987-1007.
    Giot, P. and Laurent, S., 2003, Value-at-risk for long and short trading positions, Journal of Applied Econometrics 18, 641-664.
    Glyn A. Holton, 2003, Value-at-risk: Theory and Practice, Academic Press.
    Granger, C. W. J. and Ding, Z. 1996, Varieties of long memory models, Journal of Econometrics 73, 61-77.
    Henry, O. T., 2000, Long memory in stock returns: some international evidence, Working Paper, Department of Economics, The University of Melbourne, Australia.
    Kupiec, P., 1995, Techniques for verifying the accuracy of risk measurement models, Journal of Derivatives 2, 174-184.
    Lambert, P. and Laurent, S., 2000, Modeling skewness dynamics in series of financial data, Discussion Paper, Institute de Statistique, Louvain-la-Neuve.
    Lo, A. W., 1991, Long-term memory in stock market price, Econometrica 59, 1279-1313.
    Liu, S. and Brorsen, B., 1995, Maximun likelihood estimation of a GARCH-stable model, Journal of Applied Econometrics 2, 185-273.
    Ruey S. Tsay, 2002, Analysis of Financial time series, John Wiley & Sons.
    Ruey S. Tsay, 2003, The magnet effect of price limits: evidence from high-frequency data on Taiwan Stock Exchange, Journal of Empirical Finance 10, 133-168.
    Sriananthakumar, S. and Silvapulle, S., 2003, Estimating value at risks for short and long trading positions, Working Paper, Department of Economics and Business Statistics, Monash University, Australia.
    Description: 碩士
    國立政治大學
    國際經營與貿易學系
    93351029
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0093351029
    Data Type: thesis
    Appears in Collections:[Department of International Business] Theses

    Files in This Item:

    File SizeFormat
    index.html0KbHTML2351View/Open


    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