<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Fundamental aspects of operational risk and insurance analytics</title>
    <subTitle>a handbook of operational risk</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Cruz, Marcelo G.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Peters, Gareth W.</namePart>
    <namePart type="date">1978-</namePart>
  </name>
  <name type="personal">
    <namePart>Shevchenko, Pavel V.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nju</placeTerm>
    </place>
    <dateIssued encoding="marc">2015</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxii, 899 pages ; 25 cm</extent>
  </physicalDescription>
  <abstract>"Co-edited by acknowledged experts in the quantification of operational risk, Handbook of Operational Risk conveniently and systematically displays all of the financial engineering topics, theories, applications, and current statistical methodologies that are intrinsic to the subject matter. This one-stop guide for financial engineers, quantitative analysts, and risk managers places under one cover all of the necessary theory, applications, and models that are inherent in any discussion of the subject. The authors emphasize the importance of collecting high-quality data based upon understanding the problems that impede the gathering process"--</abstract>
  <abstract>"Systematically displays all of the financial engineering topics, theories, applications, and current statistical methodologies that are intrinsic to the quantification of operational risk"--</abstract>
  <note type="statement of responsibility">Marcelo G. Cruz, Gareth W. Peters and Pavel V. Shevchenko.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Operational risk</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Risk management</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MATHEMATICS / Probability &amp; Statistics / General</topic>
  </subject>
  <classification authority="ddc">658.155 CRF</classification>
  <relatedItem type="otherFormat" displayLabel="Online version:">
    <titleInfo>
      <title>Fundamental aspects of operational risk and insurance analytics</title>
    </titleInfo>
    <name>
      <namePart>Cruz, Marcelo G.</namePart>
    </name>
    <originInfo>
      <publisher>Hoboken, New Jersey : John Wiley &amp; Sons, Inc., [2014]</publisher>
    </originInfo>
    <identifier type="local">(DLC) 2014021657</identifier>
  </relatedItem>
  <identifier type="isbn">9781118118399 (hardback)</identifier>
  <identifier type="lccn">2014012662</identifier>
  <identifier type="uri">http://catalogimages.wiley.com/images/db/jimages/9781118118399.jpg</identifier>
  <location>
    <url displayLabel="Cover image">http://catalogimages.wiley.com/images/db/jimages/9781118118399.jpg</url>
  </location>
  <recordInfo>
    <recordContentSource authority="marcorg">DLC</recordContentSource>
    <recordCreationDate encoding="marc">140529</recordCreationDate>
    <recordChangeDate encoding="iso8601">20161220150126.0</recordChangeDate>
    <recordIdentifier source="BD-DhUL">18168938</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
