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  <titleInfo>
    <title>INTEREST RATE MODELING</title>
    <subTitle>theory and practice</subTitle>
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  <name type="personal">
    <namePart>Wu, Lixin</namePart>
    <namePart type="date">1961-</namePart>
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    <publisher>CHAPMAN &amp; HALL CRC</publisher>
    <dateIssued>2024</dateIssued>
    <edition>Third edition.</edition>
    <issuance>monographic</issuance>
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  <abstract>Containing many results that are new, or which exist only in recent research articles,this thoroughly revised third edition of Interest Rate Modeling: Theory and Practice, Third Edition portrays the theory of interest rate modeling as a three-dimensional object of finance, mathematics, and computation. It introduces all models with financial-economical justifications, develops options along the martingale approach, and handles option evaluations with precise numerical methods. Features Presents a complete cycle of model construction and applications, showing readers how to build and use models Provides a systematic treatment of intriguing industrial issues, such as volatility smiles and correlation adjustments Contains exercise sets and a number of examples, with many based on real market data Includes comments on cutting-edge research, such as volatility-smile, positive interest-rate models, and convexity adjustment New to the Third edition Introduction of Fed fund market and Fed fund futures Replacement of the forward-looking USD LIBOR by the backward-looking SOFR term rates in the market model, and the deletion of dual-curve market model developed especially for the post-crisis derivatives markets New chapters on LIBOR Transition and SOFR Derivatives Markets</abstract>
  <subject authority="lcsh">
    <topic>Interest rates</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Interest rate futures</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>BUSINESS &amp; ECONOMICS / Finance</topic>
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  <classification authority="lcc">HG6024.5</classification>
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