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Titlebook: Risk Measurement, Econometrics and Neural Networks; Selected Articles of Georg Bol,Gholamreza Nakhaeizadeh,Karl-Heinz Vollm Conference proc

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發(fā)表于 2025-3-21 16:58:07 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Risk Measurement, Econometrics and Neural Networks
副標題Selected Articles of
編輯Georg Bol,Gholamreza Nakhaeizadeh,Karl-Heinz Vollm
視頻videohttp://file.papertrans.cn/831/830705/830705.mp4
叢書名稱Contributions to Economics
圖書封面Titlebook: Risk Measurement, Econometrics and Neural Networks; Selected Articles of Georg Bol,Gholamreza Nakhaeizadeh,Karl-Heinz Vollm Conference proc
描述This book comprises the articles of the 6th Econometric Workshop in Karlsruhe, Germany. In the first part approaches from traditional econometrics and innovative methods from machine learning such as neural nets are applied to financial issues. Neural Networks are successfully applied to different areas such as debtor analysis, forecasting and corporate finance. In the second part various aspects from Value-at-Risk are discussed. The proceedings describe the legal framework, review the basics and discuss new approaches such as shortfall measures and credit risk.
出版日期Conference proceedings 1998
關(guān)鍵詞Credit Risk; Econometrics; Forecasting; Neural Networks; RM; Risikomessung; Risk Management; Risk Measureme
版次1
doihttps://doi.org/10.1007/978-3-642-58272-1
isbn_softcover978-3-7908-1152-0
isbn_ebook978-3-642-58272-1Series ISSN 1431-1933 Series E-ISSN 2197-7178
issn_series 1431-1933
copyrightSpringer-Verlag Berlin Heidelberg 1998
The information of publication is updating

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發(fā)表于 2025-3-21 20:49:51 | 只看該作者
Financial Calculations on the Net,amic and interactive graphics. For our purpose, that is calculating in finance, the interactivity of the user interface and the techniques of visualization are of special importance; particulary since this interactivity is net based and easy to implement for programmers who want to modify or extend existing methods.
板凳
發(fā)表于 2025-3-22 04:10:53 | 只看該作者
On the Accuracy of VaR Estimates Based on the Variance-Covariance Approach, emphasized model optimization and 2) implied covariance forecasting. Finally, we highlight the important issue of the estimation error of the covariance matrix in relation to its dimension and the number of datum from which it is estimated and outline a framework for handling this problem.
地板
發(fā)表于 2025-3-22 05:23:35 | 只看該作者
Measuring and Managing Credit Portfolio Risk,g. The conditioning relationships between the probability of a credit event (e.g. credit rating migrations or defaults) and the current state of the economic cycle are based on empirical regularities observed in historical data. This model differs from other credit portfolio models in several important aspects:
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1431-1933 oceedings describe the legal framework, review the basics and discuss new approaches such as shortfall measures and credit risk.978-3-7908-1152-0978-3-642-58272-1Series ISSN 1431-1933 Series E-ISSN 2197-7178
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發(fā)表于 2025-3-22 14:12:42 | 只看該作者
Portfolio Analysis Based on the Shortfall Concept,res and their use in asset allocation. The second part of our article describes an investment product based on a dynamic benchmark adjustment process. The adjustment procedure is governed by the probability of falling below the investors’ desired minimum return.
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發(fā)表于 2025-3-22 19:35:51 | 只看該作者
Regulatory Framework for the Risk Management of German Credit Institutions,king rules has been accompanied by increasing complexity of regulation. Thus, it is worthwhile to give a brief overview of the development and basic structure of the German Principle I, which sets the capital requirements for credit and market risk and thus the regulatory framework for German credit institutions.
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