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  <titleInfo>
    <title>Financial modelling</title>
    <subTitle>theory, implementation and practice (with Matlab source)</subTitle>
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  <titleInfo type="alternative">
    <title>Financial modeling</title>
  </titleInfo>
  <name type="personal">
    <namePart>Kienitz, Joerg.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Wetterau, Daniel</namePart>
    <namePart type="date">1981-</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <genre authority="">Electronic books.</genre>
  <genre authority="">Electronic books.</genre>
  <genre authority="local">Electronic books.</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nju</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Chichester, West Sussex, UK</placeTerm>
    </place>
    <publisher>John Wiley &amp; Sons Ltd</publisher>
    <dateIssued>2012</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
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    <extent>1 online resource.</extent>
  </physicalDescription>
  <abstract>Financial Modelling - Theory, Implementation and Practice is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for derivatives pricing and asset allocation, providing practitioners with complete financial modelling workflow, from model choice, deriving prices and Greeks using (semi- ) analytic and simulation techniques, and calibration even for exotic options. The book is split into three parts. The first part considers f.</abstract>
  <tableOfContents>Financial Modelling; Contents; Introduction; 1 Introduction and Management Summary; 2 Why We Have Written this Book; 3 Why You Should Read this Book; 4 The Audience; 5 The Structure of this Book; 6 What this Book Does Not Cover; 7 Credits; 8 Code; PART I FINANCIAL MARKETS AND POPULAR MODELS; 1 Financial Markets -- Data, Basics and Derivatives; 1.1 Introduction and Objectives; 1.2 Financial Time-Series, Statistical Properties of Market Data and Invariants; 1.2.1 Real World Distribution; 1.3 Implied Volatility Surfaces and Volatility Dynamics; 1.3.1 Is There More than just a Volatility?</tableOfContents>
  <tableOfContents>1.3.2 Implied Volatility1.3.3 Time-Dependent Volatility; 1.3.4 Stochastic Volatility; 1.3.5 Volatility from Jumps; 1.3.6 Traders' Rule of Thumb; 1.3.7 The Risk Neutral Density; 1.4 Applications; 1.4.1 Asset Allocation; 1.4.2 Pricing, Hedging and Risk Management; 1.5 General Remarks on Notation; 1.6 Summary and Conclusions; 1.7 Appendix -- Quotes; 2 Diffusion Models; 2.1 Introduction and Objectives; 2.2 Local Volatility Models; 2.2.1 The Bachelier and the Black-Scholes Model; 2.2.2 The Hull-White Model; 2.2.3 The Constant Elasticity of Variance Model; 2.2.4 The Displaced Diffusion Model.</tableOfContents>
  <tableOfContents>2.2.5 CEV and DD Models2.3 Stochastic Volatility Models; 2.3.1 Pricing European Options; 2.3.2 Risk Neutral Density; 2.3.3 The Heston Model (and Extensions); 2.3.4 The SABR Model; 2.3.5 SABR -- Further Remarks; 2.4 Stochastic Volatility and Stochastic Rates Models; 2.4.1 The Heston-Hull-White Model; 2.5 Summary and Conclusions; 3 Models with Jumps; 3.1 Introduction and Objectives; 3.2 Poisson Processes and Jump Diffusions; 3.2.1 Poisson Processes; 3.2.2 The Merton Model; 3.2.3 The Bates Model; 3.2.4 The Bates-Hull-White Model; 3.3 Exponential Lévy Models; 3.3.1 The Variance Gamma Model.</tableOfContents>
  <tableOfContents>3.3.2 The Normal Inverse Gaussian Model3.4 Other Models; 3.4.1 Exponential Lévy Models with Stochastic Volatility; 3.4.2 Stochastic Clocks; 3.5 Martingale Correction; 3.6 Summary and Conclusions; 4 Multi-Dimensional Models; 4.1 Introduction and Objectives; 4.2 Multi-Dimensional Diffusions; 4.2.1 GBM Baskets; 4.2.2 Libor Market Models; 4.3 Multi-Dimensional Heston and SABR Models; 4.3.1 Stochastic Volatility Models; 4.4 Parameter Averaging; 4.4.1 Applications to CMS Spread Options; 4.5 Markovian Projection; 4.5.1 Baskets with Local Volatility.</tableOfContents>
  <tableOfContents>4.5.2 Markovian Projection on Local Volatility and Heston Models4.5.3 Markovian Projection onto DD SABR Models; 4.6 Copulae; 4.6.1 Measures of Concordance and Dependency; 4.6.2 Examples; 4.6.3 Elliptical Copulae; 4.6.4 Archimedean Copulae; 4.6.5 Building New Copulae from Given Copulae; 4.6.6 Asymmetric Copulae; 4.6.7 Applying Copulae to Option Pricing; 4.6.8 Applying Copulae to Asset Allocation; 4.7 Multi-Dimensional Variance Gamma Processes; 4.8 Summary and Conclusions; PART II NUMERICAL METHODS AND RECIPES; 5 Option Pricing by Transform Techniques and Direct Integration.</tableOfContents>
  <note type="statement of responsibility">Joerg Kienitz, Daniel Wetterau.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <titleInfo>
      <title>MATLAB</title>
    </titleInfo>
  </subject>
  <subject authority="fast">
    <titleInfo>
      <title>MATLAB</title>
    </titleInfo>
  </subject>
  <subject authority="lcsh">
    <topic>Finance</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Numerical analysis</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Finance</topic>
    <topic>Mathematical models</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Numerical analysis</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject>
    <topic>Finance</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject>
    <topic>Finance</topic>
    <topic>Mathematical models</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject>
    <topic>MATLAB</topic>
  </subject>
  <subject>
    <topic>Numerical analysis</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>BUSINESS &amp; ECONOMICS</topic>
    <topic>Finance</topic>
  </subject>
  <subject authority="fast">
    <topic>Finance</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="fast">
    <topic>Finance</topic>
    <topic>Mathematical models</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject authority="fast">
    <topic>Numerical analysis</topic>
  </subject>
  <subject authority="fast">
    <topic>Numerical analysis</topic>
    <topic>Computer programs</topic>
  </subject>
  <classification authority="lcc">HG106</classification>
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