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Financial Modeling

Author

Listed:
  • Benninga, Simon

    (Tel-Aviv University)

Abstract

Financial Modeling is now the standard text for explaining the implementation of financial models in Excel. This long-awaited fourth edition maintains the ÒcookbookÓ features and Excel dependence that have made the previous editions so popular. As in previous editions, basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds are explained with detailed Excel spreadsheets. Sections on technical aspects of Excel and on the use of Visual Basic for Applications (VBA) round out the book to make Financial Modeling a complete guide for the financial modeler. The new edition of Financial Modeling includes a number of innovations. A new section explains the principles of Monte Carlo methods and their application to portfolio management and exotic option valuation. A new chapter discusses term structure modeling, with special emphasis on the Nelson-Siegel model. The discussion of corporate valuation using pro forma models has been rounded out with the introduction of a new, simple model for corporate valuation based on accounting data and a minimal number of valuation parameters.

Suggested Citation

  • Benninga, Simon, 2014. "Financial Modeling," MIT Press Books, The MIT Press, edition 4, volume 1, number 0262027283, December.
    • Handle: RePEc:mtp:titles:0262027283
    as

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    Citations

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    Cited by:

    1. Lubberink, Martien, 2014. "Are banks’ below-par own debt repurchases a cause for prudential concern?," MPRA Paper 59475, University Library of Munich, Germany.
    2. François-Éric Racicot & William F. Rentz & Alfred L. Kahl, 2017. "Rolling Regression Analysis of the Pástor-Stambaugh Model: Evidence from Robust Instrumental Variables," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 23(1), pages 75-90, February.
    3. Samih Antoine Azar, 2018. "The Nexus Between the Elasticity of Intertemporal Substitution and the Coefficient of Relative Risk Aversion," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(3), pages 98-102, July.
    4. Alain Chateauneuf & Mina Mostoufi & David Vyncke, 2015. "Comonotonic Monte Carlo and its applications in option pricing and quantification of risk," Documents de travail du Centre d'Economie de la Sorbonne 15015, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    5. Lukman Hanif Arbi, 2021. "A Contract Theory Approach to Islamic Financial Securities with an Application to Diminishing Mushārakah," JRFM, MDPI, vol. 14(1), pages 1-12, January.
    6. Dolors Berga & Jose I. Silva, 2021. "Risk-Free Versus Risky Assets: Teaching a Portfolio Model with Application to the Stock Market," Journal of Economics Teaching, Journal of Economics Teaching, vol. 6(2), pages 76-94, October.
    7. François-Éric Racicot & William F Rentz & David Tessier & Raymond Théoret, 2019. "The conditional Fama-French model and endogenous illiquidity: A robust instrumental variables test," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-26, September.
    8. Racicot, François-Éric & Rentz, William F., 2018. "Does Illiquidity Matter? An Errors-in-Variables Perspective/¿Es importante la iliquidez? Un análisis desde el enfoque de errores en variables," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 251-262, Enero.
    9. Amit K. Sinha, 2021. "The reliability of geometric Brownian motion forecasts of S&P500 index values," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1444-1462, December.
    10. Peter Reichling & Anastasiia Zbandut, 2017. "Costs of capital under credit risk," FEMM Working Papers 170003, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.

    More about this item

    Keywords

    finance;

    JEL classification:

    • G0 - Financial Economics - - General

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