Journals / Anadolu Bil Meslek Yüksekokulu Dergisi / 2026 / Sayı: 26

Extreme value theory and an application on a bank

Uç değerler teorisi ve bir bankacılık uygulaması

Pages
29–40
Publication Date
2012-04-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This study aims to identify and fit the appropriate extreme value distribution to loss data by using the method of Hill estimation technique.

📌 3 Key Takeaways

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Objective & Hypothesis:Extreme value theory (EVT) is a tool used to consider probabilities associated with extreme and rare events.
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Key Findings & Data:This paper is related with extreme events which usually appear with low frequently but high effects.
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Conclusion & Impact:This study aims to identify and fit the appropriate extreme value distribution to loss data by using the method of Hill estimation technique.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Uç Değerler Teorisi · Operasyonel Risk · Hill tahmincisi

Abstract

Extreme value theory (EVT) is a tool used to consider probabilities associated with extreme and rare events. This paper is related with extreme events which usually appear with low frequently but high effects. It has been applied in various fields such as hydrology, as well as in studies of pollution, meteorology but in recent years, it is mainly used in the financial areas. General concepts of EVT is presented by a hypothetical case study. It is about fraud events in a Bank during specific time. This study aims to identify and fit the appropriate extreme value distribution to loss data by using the method of Hill estimation technique.

Özet

Bu çalışmada, az sıklıkta gerçekleşen ancak etkisi kuvvetli olan olayların ortaya çıkabilme

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Cite This Article

Eren, Ö., Alpar, O. (2012). Extreme value theory and an application on a bank. Anadolu Bil Meslek Yüksekokulu Dergisi, Sayı: 26, 29–40. https://ajindex.com/articles/1580082

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