
Hands-On Financial Modeling with Excel for Microsoft 365 - Second Edition
by Shmuel Oluwa (2019)
Like 'Financial Analysis With Microsoft Excel', this book offers practical Excel-based financial modeling and analysis.

by Timothy Mayes (2015)
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.
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by Shmuel Oluwa (2019)
Like 'Financial Analysis With Microsoft Excel', this book offers practical Excel-based financial modeling and analysis.

by Chandan Sengupta (2009)
Similar to 'Financial Analysis With Microsoft Excel', this guide focuses on Excel and VBA for financial analysis and modeling.

by Simon Benninga (2000)
This book, like 'Financial Analysis With Microsoft Excel', provides deep insights into financial modeling using Excel.
by Michael Rees (2011)
Complementing 'Financial Analysis With Microsoft Excel', this book sharpens financial modeling methods for professionals.

by Alastair Day (2007)
Following 'Financial Analysis With Microsoft Excel', this guide deeply explores Excel functions for financial modeling.
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