rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Introduction to credit risk
  title info:
    title: MATHnetBASE
  name:
    name part: Carlone, Guilio
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2021
    edition: 1st.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations (black and white)
  abstract: Introduction to Credit Risk focuses on analysis of credit risk, derivatives, equity investments, portfolio management, quantitative methods, and risk management. In terms of application, this book can be used as an important tool to explain how to generate data rows of expected exposure to counterparty credit risk. The book also directs the reader on how to visualize, in real time, the results of this data, generated with a Java tool. Features Uses an in-depth case study to illustrate multiple factors in counterparty credit risk exposures Suitable for quantitative risk managers at banks, as well as students of finance, financial mathematics, and software engineering Provides the reader with numerous examples and applications Giulio Carlone has an MBA, a PhD, and a Master's degree in Computer Science from the University of Italy. He is a member of the software system engineering staff of the Department of Computer Science at University College London. He has 20 years of practical experience in technical software engineering and quantitative finance engineering in the commercial sector. His research interests include the use of communication strategies and the implementation of plans and projects using financial software for requirement specifications, requirements analysis, and architectural design.
  note: Giulio Carlone.
  subject:
    topic: Credit
    topic: Management
  subject:
    topic: Financial risk management
  subject:
    topic: Credit
    topic: Technological innovations
  subject:
    topic: MATHEMATICS / Applied
  classification: HG3751
  classification: 332.7
  identifier: 9781000171471
  identifier: 1000171477
  identifier: 9781000171457
  identifier: 1000171450
  identifier: 9781000171464
  identifier: 1000171469
  identifier: 9781003036944
  identifier: 1003036945
  identifier: 9780367478490 (hbk.)
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OCoLC-P
    record creation date: 200805
    record change date: 20220613180039.3
    record identifier: in00004582000
    language of cataloging:
      language term: eng