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Credit risk modeling : Theory and applications / David Lando. Princeton, NJ : Princeton University Press, 2004310 p. ; 21 cm."Credit risk is today one of the most intensely studied topics in quantitative finance. This book provides an introduction and overview for readers who seek an up-to-date reference to the central problems of the field and to the tools currently used to analyze them. The book is aimed at researchers and students in finance, at quantitative analysts in banks and other financial institutions, and at regulators interested in the modeling aspects of credit risk."--Jacket.
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Financial modeling. Simon Benninga. 2 / Cambridge, Massachusetts : The MIT Press, 20141111 p. ; 29 cm.This book is the standard text for explaining the implementation of financial models in Excel. As in previous editions, this fourth edition maintains the "cookbook" features and Excel dependence; it explains basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds with detailed Excel spreadsheets. It also includes: a new section explaining the principles of Monte Carlo methods and their application to portfolio management and exotic option valuation; a new chapter discussing term structure modeling, with special emphasis on the Nelson-Siegel model; and a discussion of corporate valuation using pro forma models with the introduction of a new, simple model for corporate valuation based on accounting data and a minimal number of valuation parameters
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