參考文獻
1. 林士貴、傅承德、柯子介,2004,“重點抽樣下拔靴法計算風險值”,財務金融
學刊,12 卷,1 期,頁81~116。
2. 林楚雄、陳宜玫,2002,“台灣股票市場風險值估測模型之實證研究”,管理學報,19 卷,4 期,頁737~758。
3. 林楚雄、張簡彰程,2002,“增進歷史模擬法估計風險值準確性之研究”,中山管理評論,10 卷,3 期,頁497~520。
4. 林楚雄、張簡彰程、謝景成,2005,“三種修正歷史模擬法估計風險值模型之比較”,風險管理學報,7 卷,2 期,頁183~201。
5. 劉美纓,2005,“銀行投資組合風險值估計-保守性、準確性及效率性”,財務
金融學刊,13 卷,2 期,頁97~128。
6. Alexander, C.O., and C.T. Leigh, 1997, “On the Covariance Matrices Used in
Value at Risk Models”, Journal of Derivatives, pp.50-62, spring.
7. Baillie, R., and R. DeGennaro, 1990, “Stock returns and volatility”, Journal of
Financial and Quantitative Analysis, vol.25, pp.203-214.
8. Barone-Adesi, G., K. Giannopoulos, and L. Vosper, 1999, “VaR without
Correlations for Portfolios of Derivative Securities”, The Journal of Futures
Markets, vol.19(5), pp.583-602.
9. Barone-Adesi, G., K. Giannopoulos, and L. Vosper, 2002, “Backtesting Derivative
Portfolios with FHS”, European Financial Management, pp.31-58.
10. Beder, T.S., 1995, “VAR: seductive but Dangerous”, Financial Analysts Journal,
pp.12-24, September.
11. Billio, M., and L. Pelizzon, 2000, “Value-at-Risk: A Multivariate Switching
91
Regime Approach”, Journal of Empirical Finance, vol.7, pp.531-554.
12. Bollerslev, T., 1986, “Generalized Autoregressive Condition Heteroskedasticity”,
Journal of Econometrics, vol.31, pp.307-327.
13. Bollerslev, T., R. Chou, and K. Kroner, 1992, “ARCH Modeling in Finance”,
Journal of Econometrics, vol.52, pp.5-59.
14. Boudoukh, J., M. Richardson, and R. Whitelaw, 1997, “Investigation of a Class of
Volatility Estimators”, Journal of Derivatives, vol.4, pp.63-71.
15. Boudoukh, J., M. Richardson, and R. Whitelaw, 1998, “The Best of Both Worlds:
A Hybrid Approach to Calculating Value at Risk”, Risk, vol.11, pp.64-67.
16. Butler, J.S., and B. Schachter, 1998, “Estimating Value at Risk by Combining
Kernel Estimation with Historical Simulation”, Review of Derivatives Research,
vol.1, pp.371-390.
17. Danielsson, J., and C.G. de Vries, 1997, “Value at Risk and extreme returns”,
Working Paper, London School of Economics.
18. Danielsson, J., and C.G. de Vries, 1997, “Beyond the sample: Extreme quantile and
probability estimation”, Working Paper.
19. Danielsson, J., and C.G. de Vries, 1997, “Tail index and quantile estimation with
high frequency data”, Journal of Empirical Finance, pp.241-257.
20. Danielsson, J., L. de Haan, L. Peng, and C.G. de Vries, 1997, “Using bootstrap
method to choose the sample fraction in tail index estimation”, Working Paper.
21. Dowd, K., 1998, Beyond Value-at-Risk: The New Science of Risk Management,
John Wiley & Sons, Chichester.
92
22. Duarte, J., 1997, “Model Risk and Risk Management”, Derivatives Quarterly,
pp.60-72, spring.
23. Duffie, D., and J. Pan, 1997, “An Overview of Value at Risk”, Journal of
Derivatives, pp.7-49.
24. Engel, J., and M. Gizycki, 1999, “Conservatism, Accuracy and Efficiency:
Comparing Value-at-Risk Models”, Working Paper 2, March.
25. Fama, E.F., 1965, “The behavior stock market prices”, Journal of Business, vol.38,
pp.34-105.
26. Goorbergh, R.V.D., and P. Vlaar, 1999, “Value-at-Risk Analysis of Stock Returns
Historical Simulation, Variance Techniques or Tail Index Estimation?”,
Econometric Research and Special Studies Dept. De Nederlandsche Bank.
27. Guermat, C., and Richerd D.F. Harris, 2002, “Robust Conditional Variance
Estimation and Value-at-Risk”, The Journal of Risk, vol.4(2), pp.25-41.
28. Harris, Richard D. F., and J. Shen, 2003, “Robust Estimation of The Optimal
Hedge Ratio”, The Journal of Futures Markets, vol.23(8), pp.799-816.
29. Hendricks, D., 1996, “Evaluation of Value-at-Risk Models Using Historical Data”,
Economic Policy Review, Federal Reserve Bank of New York 2(April), pp.39-69.
30. Hendricks, D., and B. Hirtle, 1997, “Bank Capital Requirements for Market Risk:
The Internal Models Approach”, Economic Policy Review, Federal Reserve Bank
of New York 2(December), pp.1-12.
31. Heynen, R.C., and G.M. Kat, 1994, “Volatility prediction: A comparison of the
stochastic volatility, GARCH (1,1) and EGARCH (1,1) models”, Journal of
Derivatives, pp.50-65.
93
32. Hopper, G., 1996, “Value at Risk:A new Methodology for Measuring Portfolio
Risk”, Business Review, Federal Reserve Bank of Philadelphia, pp.19-30.
33. Huang, Y.C., C.H. Lin, C.C. Changchien, and B.J. Lin, 2004, “The Tail Fatness and
Value-at-Risk Analysis of TAIFEX and SGX-DT Taiwan Stock Index Futures”,
Asia Pacific Management Review, vol.9(4), pp.729-750.
34. Hull, J., and A. White, 1998, “Incorporating volatility updating into the historical
Simulation method for value-at-risk”, Journal of Risk, pp.5-19.
35. Hull, J., and A. White, 1998, “Value at Risk when daily changes in market
variables are not normally distribution”, Journal of Derivatives, pp.9-19, spring.
36. Jackson, P., D. Maude, and W. Perraudin, 1997, “Bank Capital and Value-at-Risk”,
Journal of Derivatives, pp.73-90.
37. Jorion, P., 1997, Value at Risk: The New Benchmark for Controlling Market Risk,
McGraw-Hill.
38. Jorion, P., 1997, “Risk2: Measuring the Risk in Value at Risk”, Financial Analysis
Journal, pp.47-56, November/December.
39. Jorion, P., 2000, Value-at-Risk, McGraw-Hill.
40. J.P. Morgan, 1996, RiskMetrics Technical Document, 4th edition.
41. Kupiec, P., 1995, “Technique for Verifying the Accuracy of Risk Measurement
Models”, Journal of Derivatives, vol.3, pp.73-84.
42. Lin, C.H., C.C. Changchien, and S.W. Chen, 2005, “A General Revised Historical
Simulation Method for Portfolio Value-at-Risk”, Journal of Alternative
Investments, vol.8(2), pp.87-103.
43. Lin, C.H., C.C. Changchien, and S.W. Chen, 2006, “Incorporating the
94
Time-varying tail-fatness into the Historical Simulation Method for Portfolio
Value-at-Risk”, Review of Pacific Basin Financial Markets and Policies, vol.9(2),
forthcoming.
44. Linsmeier, T., and Neil D. Pearson, 2000, “Value at Risk”, Financial Analysts
Journal, vol. 56(2), pp.47-67.
45. Marshall, C., and M. Siegel, 1997, “Value at Risk : Implementing a Risk
Measurement Standard”, Journal of Derivatives, vol. 4(3), pp.91-111.
46. McNeil, A.J., and R. Frey, 2000, “Estimation of Tail-Related Risk Measure for
Heteroscedastic Financial Time Series: An Extreme Value Approach”, Journal of
Empirical Finance, vol.7, pp.271-300.
47. Pritsker, M., 1997, “Evaluating Value at Risk Methodologies: Accuracy versus
Computational Time”, Journal of Financial Services Research, vol.12(3),
pp.201-243.
48. Schwert, G.W., 1989, “Why does stock market volatility change over time?”
Journal of Finance, vol.44, pp.1115-1153.
49. Simons, K., 1996, “Value at Risk-New Approaches to Risk Management”, New
England Economic Review, pp.3-13, Sep/Oct.
50. Vlaar, P., 2000, “Value at Risk Models for Dutch Bond Portfolios”, Journal of
Banking and Finance, vol.24(7), pp.1131-1154.