References
- 강민정, 김지연, 송종우, 송성주 (2013). Peaks Over Threshold를 이용한 Value at Risk: 모수추정 방법론의 비교. 응용통계연구, 26(3), 483-494. https://doi.org/10.5351/KJAS.2013.26.3.483
- 김병수, 허용석, 한인구, 이희석 (2010). 지식 경영 활동의 혁신 역량으로의 연계: IT 서비스 산업 중심으로. 지식경영연구, 11(1), 97-113.
- 오세경 (2005). 극단치이론(Extreme Value Theory)과 Value-at-Risk: GPD 모형을 중심으로. 금융연구, 19(1), 69-112.
- 이영한, 박주영 (2016). 국제회계기준(IFRS) 도입이 주가이익배수(PER)와 이익의 질과의 관련성에 미치는 영향. 경영학연구, 45(3), 1003-1039.
- Alford, A. W. (1992). The Effect of the Set of Comparable Firms on the Accuracy of the Price-Earnings Valuation Method. Journal of Accounting Research, 30(1), 94-108. https://doi.org/10.2307/2491093
- Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, 23(4), 589-609. https://doi.org/10.1111/j.1540-6261.1968.tb00843.x
- Balkema, A. A., & De Hann, L. (1974). Residual Life Time at Great Age. The Annals of Probability, 2(5), 792-804. https://doi.org/10.1214/aop/1176996548
- Beatty, R. P., Riffe, S. M., & Thompson, R. (1999). The Method of Comparables and Tax Court Valuations of Private Firms: An Empirical Investigation. Accounting Horizons, 13(3), 177-199. https://doi.org/10.2308/acch.1999.13.3.177
- Castillo, E., & Hadi, A. S. (1997). Fitting the Generalized Pareto Distribution to Data. Journal of the American Statistical Association, 92(440), 1609-1620. https://doi.org/10.1080/01621459.1997.10473683
- Cheng, C. S., & McNamara, R. (2000). The Valuation Accuracy of the Price-Earnings and Price-Book Benchmark Valuation Methods. Review of Quantitative Finance and Accounting, 15, 349-370. https://doi.org/10.1023/A:1012050524545
- Coles, S. (2001). An Introduction to Statistical Modeling of Extreme Values(1st Ed.), Springer Series in Statistics, London, England.
- De Haan, L., & Ferreira, A. (2006). Extreme Value Theory: An Introduction(1st Ed.), Springer Science & Business Media, Berlin, Germany.
- De Zea Bermudez, P., & Kotz, S. (2010). Parameter Estimation of the Generalized Pareto Distribution Part I. Journal of Statistical Planning and Inference, 140(6), 1353-1373. https://doi.org/10.1016/j.jspi.2008.11.019
- Dekkers, A. L., Einmahl, J. H., & De Haan, L. (1989). A Moment Estimator for the Index of an Extreme-Value Distribution. The Annals of Statistics, 1833-1855. https://doi.org/10.1214/aos/1176347397
- Grimshaw, S. D. (1993). Computing Maximum Likelihood Estimates for the Generalized Pareto Distribution. Technometrics, 35(2), 185-191. https://doi.org/10.1080/00401706.1993.10485040
- Hill, B. M. (1975). A Simple General Approach to Inference about the Tail of a Distribution. The Annals of Statistics, 3(5), 1163-1174. https://doi.org/10.1214/aos/1176343247
- Kaplan, S., & Ruback, S. (1995). The Valuation of Cash Flow Forecasts: An Empirical Analysis. The Journal of Finance, 50(4), 1059-1093. https://doi.org/10.1111/j.1540-6261.1995.tb04050.x
- Kellezi, E., & Gilli, M. (2000). Extreme Value Theory for Tail-Related Risk Measures. The Computational Finance 2000 Conference, London Business School.
- Leclair, M. S. (1990). Valuing the Closely-held Corporation: The Validity and Performance of Established Valuation Procedures. Accounting Horizon, 4(3), 31-42.
- Lee, S. Y., & Kim, J. H. T. (2019). Exponentiated Generalized Pareto Distribution: Properties and Applications towards Extreme Value Theory. Communications in Statistics-Theory and Methods, 48(8), 2014-2038. https://doi.org/10.1080/03610926.2018.1441418
- Magnou, G. (2017). An Application of Extreme Value Theory for Measuring Financial Risk in the Uruguayan Pension Fund. Compendium, 4(7), 1-19.
- Pickands III, J. (1975). Statistical Inference using Extreme Order Statistics. The Annals of Statistics, 3(1), 119-131. https://doi.org/10.1214/aos/1176343003
- Wade, W. R. (2009). An Introduction to Analysis(4th Ed.), Pearson, New Jersey, U.S.
- Zhang, J. (2007). Likelihood Moment Estimation for the Generalized Pareto Distribution. Australian & New Zealand Journal of Statistics, 49(1), 69-77. https://doi.org/10.1111/j.1467-842X.2006.00464.x