Cornish-Fisher Expansion and Value-at-Risk | Cornish-Fisher Expansion and Value-at-Risk Methods in Application to Risk Management of Large Portfolios

Maria Sjöstrand (u. a.)

ISBN 10: 3846515353 / ISBN 13: 9783846515358

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

Cornish-Fisher Expansion and Value-at-Risk | Cornish-Fisher Expansion and Value-at-Risk Methods in Application to Risk Management of Large Portfolios | Maria Sjöstrand (u. a.) | Taschenbuch | 84 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846515358 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Bibliographic Details

• Title: Cornish-Fisher Expansion and Value-at-Risk | Cornish-Fisher Expansion and Value-at-Risk Methods in Application to Risk Management of Large Portfolios
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3846515353
• ISBN 13: 9783846515358
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 143 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

One of the major problems faced by banks is how to manage the risk exposure in large portfolios. According to Basel II regulation banks has to measure the risk using Value-at-Risk with confidence level 99%. However, this regulation does not specify the way to calculate Value-at-Risk. The easiest and most common way to calculate Value-at-Risk is to assume that portfolio returns are normally distributed. The previous crisis shows that the regular methods are unfortunately not always enough to prevent bankruptcy. This study is devoted to compare the classical methods of estimating risk with other methods such as Cornish-Fisher Expansion (CFVaR) and assuming generalized hyperbolic distribution. For this study, we estimate the risk in a large portfolio consisting of ten stocks, chosen from the NASDAQ 100-list and from different sectors in order to have well-diversified and highly liquid portfolio. The results show that for a well-diversified large portfolio none of the risk measures are violated. However, for a portfolio consisting of only one highly volatile stock we prove that we have a violation in the classical methods but not when we use the modern methods mentioned above.

About the Author

Maria Sjöstrand & Özlem Aktaş received their M.S. degree in Financial Mathematics from Halmstad University, Sweden in 2011. Maria(1987-Sweden), has B.S. degree in Mathematics-Halmstad University and Economics-Linnaeus University. Özlem(1986-Turkey) has B.S. degree in Mathematics-Middle East Technical University and working as a financial analyst.