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The generalized extreme value distribution. (2003). Bali, Turan G..
In: Economics Letters.
RePEc:eee:ecolet:v:79:y:2003:i:3:p:423-427.

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  1. Development of intensity–duration–frequency curves for Herat, Afghanistan: enhancing flood risk management and implications for infrastructure and safety. (2024). Alareeq, Ahmed M ; Chowdhury, Shakhawat ; Doost, Ziaul Haq ; Qaderi, Abdul Raqib ; Rahnaward, Habibullah ; Hassan, Guled ; Tabash, Ibrahim.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:120:y:2024:i:14:d:10.1007_s11069-024-06730-x.

    Full description at Econpapers || Download Quantile deep learning models for multi-step ahead time series prediction. (2024). Maddocks, Amelia ; Rangarajan, Smruthi ; Cheung, Jimmy ; Chandra, Rohitash ; Chen, Xizhe.
    In: Papers.
    RePEc:arx:papers:2411.15674.

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  2. Comparison of Extreme Wind and Waves Using Different Statistical Methods in 40 Offshore Wind Energy Lease Areas Worldwide. (2023). Shi, Wei ; Nejad, Amir R ; Bhattacharya, Subhamoy ; Goupee, Andrew J ; Verma, Amrit Shankar ; Bhaskaran, Saravanan.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:19:p:6935-:d:1252908.

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  3. Capturing information in extreme events. (2023). Ardakani, Omid.
    In: Economics Letters.
    RePEc:eee:ecolet:v:231:y:2023:i:c:s0165176523003269.

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  4. .

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  5. Speed distribution for interrupted flow facility under mixed traffic. (2021). Gupta, Ankit ; Mondal, Satyajit.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:570:y:2021:i:c:s0378437121000704.

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  6. Bayesian semiparametric quantile regression modeling for estimating earthquake fatality risk. (2020). Li, Yunxian ; Jiang, Xuejun ; Zhou, Ruowei ; Yang, Aijun.
    In: Empirical Economics.
    RePEc:spr:empeco:v:58:y:2020:i:5:d:10.1007_s00181-018-1615-4.

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  7. How accurate are modern Value-at-Risk estimators derived from extreme value theory?. (2018). Auer, Benjamin R ; Mogel, Benjamin .
    In: Review of Quantitative Finance and Accounting.
    RePEc:kap:rqfnac:v:50:y:2018:i:4:d:10.1007_s11156-017-0652-y.

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  8. Empirical research on complex networks modeling of combat SoS based on data from real war-game, Part I: Statistical characteristics. (2018). Wu, Cheng ; Chen, Lei ; Li, Zhanwu ; Kou, Yingxin ; Xu, AN.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:490:y:2018:i:c:p:754-773.

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  9. Bayesian approaches for analyzing earthquake catastrophic risk. (2016). Li, Yunxian ; Tang, Niansheng ; Jiang, Xuejun.
    In: Insurance: Mathematics and Economics.
    RePEc:eee:insuma:v:68:y:2016:i:c:p:110-119.

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  10. How Accurate are Modern Value-at-Risk Estimators Derived from Extreme Value Theory?. (2016). Mogel, Benjamin ; Auer, Benjamin R.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_6288.

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  11. Value at Risk Estimation for Heavy Tailed Distributions. (2014). el Ghourabi, Mohamed ; Belkacem, Lotfi ; Gammoudi, Imed .
    In: The International Journal of Business and Finance Research.
    RePEc:ibf:ijbfre:v:8:y:2014:i:3:p:109-125.

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  12. Extreme value theory for finance: a survey. (2011). Rocco, Marco .
    In: Questioni di Economia e Finanza (Occasional Papers).
    RePEc:bdi:opques:qef_99_11.

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  13. Long-tail longitudinal modeling of insurance company expenses. (2010). Frees, Edward W. ; Shi, Peng.
    In: Insurance: Mathematics and Economics.
    RePEc:eee:insuma:v:47:y:2010:i:3:p:303-314.

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  14. A modelling environment based on data warehousing to manage and to optimize the running of international company. (2008). Combes, C. ; Rivat, C..
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:112:y:2008:i:1:p:294-308.

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  15. Removing Maturity Effects of Implied Risk Neutral Densities and Related Statistics. (2006). Markose, Sheri M ; Alentorn, Amadeo .
    In: Economics Discussion Papers.
    RePEc:esx:essedp:3722.

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  16. Option Pricing and the Implied Tail Index with the Generalized Extreme Value (GEV) Distribution. (2005). Markose, Sheri ; Alentorn, Amadeo.
    In: Computing in Economics and Finance 2005.
    RePEc:sce:scecf5:397.

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  17. The Generalized Extreme Value (GEV) Distribution, Implied Tail Index and Option Pricing. (2005). Markose, Sheri ; Alentorn, Amadeo.
    In: Economics Discussion Papers.
    RePEc:esx:essedp:3726.

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References

References cited by this document

  1. Bali, T.G., 2001. An extreme value approach to estimating volatility and value at risk. Journal of Business, in press.
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  2. Box, G. ; Cox, D. An analysis of transformations. 1964 Journal of the Royal Statistical Society, Series B. 211-264
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  3. Fisher, R.A. ; Tippett, L.H.C. Limiting forms of the frequency distribution of the largest or smallest member of a sample. 1928 Proceedings of the Cambridge Philosophical Society. 24 180-190
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  4. Gnedenko, B.V. Sur la distribution limite du terme maximum d’une serie aleatoire. 1943 Annals of Mathematics. 44 423-453
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  5. Greene, W.H. . 2000 Prentice Hall: New Jersey
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  6. Gumbel, E.J. . 1958 Columbia University Press: New York
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  7. Jenkinson, A.F. The frequency distribution of the annual maximum (or minimum) values of meteorological elements. 1955 Quarterly Journal of the Royal Meteorology Society. 87 145-158
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  8. Pickands, J. Statistical inference using extreme order statistics. 1975 Annals of Statistics. 3 119-131
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