Computational Techniques for Banking and Risk Management

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Title: Computational Techniques for Banking and Risk Management
Description: The last decades have been strongly characterized by vertiginous technological, social and economic changes. Those changes have in part positively affected our lives; however they also led to an increasing uncertainty and instability at every field of human activity. In addition, the interdependence and the interrelationship among various fields and especially between the global financial markets have created a fragile environment, which requires delicate handling and attentive movements. Thus the complexity of the systems considered in every field, nowadays, more than ever, needs the skillful manipulation of the known methodologies and techniques for the best management. Research and development give emphasis on the computational optimization as an essential, critical component. At every field of human activity, optimization is more than important. Everybody tries to optimize, minimize or maximize the cost, profit, efficiency, output. In the area of economics and finance, simple and more complex tools have been created towards this direction. Different methodologies and analytical techniques have been developed to analyze a vast number of problems such as risk management, asset pricing, portfolio construction, forecasting, interest rate modeling, capital measurement, efficiency estimation, investment evaluation, business failure, etc. This volume aims to highlight some of the aforementioned aspects, referring to methodologies and applications to computational economics and finance, and it is consisted of papers published in the third volume of the Journal of Computational Optimization in Economics and Finance. The contents of this volume are varying, covering a wide range of topics, such as credit risk simulation, capital measurement methods, bank efficiency, cash withdrawals forecasting, service quality evaluation, among others.
Authors: Zopounidis, Constantin
Resource Type: eBook.
Subjects: Financial risk--Mathematical models, Bank management--Mathematical models, Banks and banking--Mathematical models, Decision making--Mathematical models
Categories: BUSINESS & ECONOMICS / Banks & Banking
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 620134
RelevancyScore: 1051
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1050.81640625
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  Label: Title
  Group: Ti
  Data: Computational Techniques for Banking and Risk Management
– Name: Abstract
  Label: Description
  Group: Ab
  Data: The last decades have been strongly characterized by vertiginous technological, social and economic changes. Those changes have in part positively affected our lives; however they also led to an increasing uncertainty and instability at every field of human activity. In addition, the interdependence and the interrelationship among various fields and especially between the global financial markets have created a fragile environment, which requires delicate handling and attentive movements. Thus the complexity of the systems considered in every field, nowadays, more than ever, needs the skillful manipulation of the known methodologies and techniques for the best management. Research and development give emphasis on the computational optimization as an essential, critical component. At every field of human activity, optimization is more than important. Everybody tries to optimize, minimize or maximize the cost, profit, efficiency, output. In the area of economics and finance, simple and more complex tools have been created towards this direction. Different methodologies and analytical techniques have been developed to analyze a vast number of problems such as risk management, asset pricing, portfolio construction, forecasting, interest rate modeling, capital measurement, efficiency estimation, investment evaluation, business failure, etc. This volume aims to highlight some of the aforementioned aspects, referring to methodologies and applications to computational economics and finance, and it is consisted of papers published in the third volume of the Journal of Computational Optimization in Economics and Finance. The contents of this volume are varying, covering a wide range of topics, such as credit risk simulation, capital measurement methods, bank efficiency, cash withdrawals forecasting, service quality evaluation, among others.
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  Data: <searchLink fieldCode="AR" term="%22Zopounidis%2C+Constantin%22">Zopounidis, Constantin</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Financial+risk--Mathematical+models%22">Financial risk--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Bank+management--Mathematical+models%22">Bank management--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Banks+and+banking--Mathematical+models%22">Banks and banking--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making--Mathematical+models%22">Decision making--Mathematical models</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 332.10681
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Financial risk--Mathematical models
        Type: general
      – SubjectFull: Bank management--Mathematical models
        Type: general
      – SubjectFull: Banks and banking--Mathematical models
        Type: general
      – SubjectFull: Decision making--Mathematical models
        Type: general
    Titles:
      – TitleFull: Computational Techniques for Banking and Risk Management
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Zopounidis, Constantin
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          Name:
            NameFull: Zopounidis, Constantin
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2013
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9781626185227
            – Type: isbn-electronic
              Value: 9781626185234
          Titles:
            – TitleFull: Computational Techniques for Banking and Risk Management
              Type: main
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