1 |
Pickands, J. (1971). The two-dimensional poisson process and extremal processes, Journal of Applied Probability, 8, 745-756.
DOI
ScienceOn
|
2 |
Pickands, J. (1975). Statistical inference using extreme order statistics, Annals of Statistics, 3, 119-131.
DOI
|
3 |
Reiss, R. D. and Thomas, M. (2001). Statistical Analysis of Extreme Values, 2nd ed., Birkhauser Verlag, Basel.
|
4 |
Resnick, S. I. (1986). Point process, regular variation and weak convergence, Advances in Applied Probability, 18, 66-138.
DOI
ScienceOn
|
5 |
Smith, R. L. (1989). Extreme value analysis of environmental time series: An application to trend detection in ground-level ozone(with discussion), Statistical Science, 4, 367-393.
DOI
ScienceOn
|
6 |
Smith, R. L. and Shively, T. S. (1995). Point process approach to modeling trends in tropospheric ozone based on exceedances of a high threshold, Atmospheric Environment, 29, 3489-3499.
DOI
ScienceOn
|
7 |
von Mises, R. (1936). La distribution de la plus grande de n valeurs, Revere Mathematical Union Interbalcanique, 1, 141-160.
|
8 |
Leadbetter, M. R., Lindgren, G. and Rootzen, H. (1983). Extremes and Related Properties of Random Sequences and Processes, Springer, Berlin.
|
9 |
McNeil, A. J. (1997). Estimating the tails of loss severity distributions using extreme value theory, ASTIN Bulletin, 27, 117-137.
DOI
|
10 |
McNeil, A. J. and Frey, R. (2000). Estimation of tail-related risk for heteroscedastic financial time series: an extreme value approach, Journal of Empirical Finance, 7, 271-300.
DOI
ScienceOn
|
11 |
McNeil, A. J. and Saladin, T. (1997). The Peaks over Thresholds Methods for Estimating High Quantiles of Loss Distributions, Proceedings of 28th International ASTIN Colloquium.
|
12 |
Neftci, S. (2000). Value at Risk calculations, extreme events, and tail estimation, The Journal of Derivatives, 23-37.
|
13 |
Balkema, A. A. and de Haan, L. (1974). Residual lifetime at great age, Annals of Probability, 2, 792-804.
DOI
ScienceOn
|
14 |
Berkowitz, J. and O'Brien, J. (2002). How accurate are Value-at-Risk models at commercial banks?, Journal of Finance, 57, 1093-1112.
DOI
ScienceOn
|
15 |
Jarque, C. M. and Bera, A. K. (1987). A test for normality of observations and regression residuals, International Statistical Review, 55, 163-172.
DOI
ScienceOn
|
16 |
Yeo, S. C. (2006). Performance analysis of VaR and ES based on extreme value theory, The Korean Communications in Statistics, 13, 389-407.
과학기술학회마을
DOI
ScienceOn
|
17 |
Fisher, R. A. and Tippett, L. H. C. (1928). Limiting forms of the frequency distribution of the largest or smallest member of a sample, Proceedings of the Cambridge Philosophical Society, 24, 180-190.
DOI
|
18 |
Hill, B. M. (1975).A simple general approach to inference about the tail of a distribution, Annals of Statistics, 33, 1163-1174.
|
19 |
Jenkinson, A. F. (1955). The frequency distribution of the annual maximum (or minimum) values of meteorological events, Quarterly Journal of the Royal Meteorological Society, 81, 158-172.
DOI
|
20 |
Jorion, P. (2006). Value at Risk: The New Benchmark for Managing Financial Risk, 3rd ed., McGraw-Hill, New York.
|
21 |
Kupiec, P. (1995). Techniques for verifying the accuracy of risk measurement models, Journal of Derivatives, 2, 73-84.
DOI
|
22 |
Danielsson, J. and de Vries, C. G. (1997b). Value at Risk and extreme returns, In Extremes and Integrated Risk Management(ed. Embrechts, P.), 85-106, Risk Waters Group, London.
|
23 |
Coles, S. (2001). An Introduction to Statistical Modeling of Extreme Values, Springer, London.
|
24 |
Cox, D. R. and Isham, V. (1980). Point Processes, Chapman and Hall, London.
|
25 |
Danielsson, J. and de Vries, C. G. (1997a). Tail index and quantile estimation with very high frequency data, Journal of Empirical Finance, 4, 241-257.
DOI
ScienceOn
|
26 |
Duffie, D. and Pan, J. (1997). An overview of Value at Risk, Journal of Derivatives, 4, 7-49.
DOI
|
27 |
Embrechts, P., Klupppelberg, C. and Mikosh, T. (1997). Modelling Extremal Events for Insurance and Finance, Springer, Berlin.
|