Author:

Publisher: Arihant Publications India limited

Published:

Total Pages: 797

ISBN-13: 9326193527

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The Selected Works of George J. Benston, Volume 1

The Selected Works of George J. Benston, Volume 1

Author: James D. Rosenfeld

Publisher: Oxford University Press

Published: 2010-05-13

Total Pages: 445

ISBN-13: 0199745471

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George J. Benston, professor of Finance, Accounting, and Economics at Emory University's Goizueta Business School, died unexpectedly in January 2008. He was an impassioned advocate for corporate integrity and a unique scholar; his research interests were as broad as those of any recent academician. His colleagues have selected and organized his most important papers into two volumes. This first volume consists of his research in the banking and financial services industry. The editor has selected a broad range of papers from each of the major areas that are representative of Benston's work in that particular field. James D. Rosenfeld, Professor of Finance, Accounting, and Economics, Goizueta Business School, Emory University, serves as the editor and is assisted by an editorial advisory board including George Kaufman, Greg Waymire, Bob Eisenbeis, Larry Wall, Rashad Abdel-Kalik, and Lemma Senbet.


Statistical Analysis of Financial Data

Statistical Analysis of Financial Data

Author: James Gentle

Publisher: CRC Press

Published: 2020-03-12

Total Pages: 541

ISBN-13: 0429939221

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Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illustrate the nature of financial data. The software used to obtain the data for the examples in the first chapter and for all computations and to produce the graphs is R. However discussion of R is deferred to an appendix to the first chapter, where the basics of R, especially those most relevant in financial applications, are presented and illustrated. The appendix also describes how to use R to obtain current financial data from the internet. Chapter 2 describes the methods of exploratory data analysis, especially graphical methods, and illustrates them on real financial data. Chapter 3 covers probability distributions useful in financial analysis, especially heavy-tailed distributions, and describes methods of computer simulation of financial data. Chapter 4 covers basic methods of statistical inference, especially the use of linear models in analysis, and Chapter 5 describes methods of time series with special emphasis on models and methods applicable to analysis of financial data. Features * Covers statistical methods for analyzing models appropriate for financial data, especially models with outliers or heavy-tailed distributions. * Describes both the basics of R and advanced techniques useful in financial data analysis. * Driven by real, current financial data, not just stale data deposited on some static website. * Includes a large number of exercises, many requiring the use of open-source software to acquire real financial data from the internet and to analyze it.


The New Palgrave Dictionary of Economics

The New Palgrave Dictionary of Economics

Author:

Publisher: Springer

Published: 2016-05-18

Total Pages: 7493

ISBN-13: 1349588024

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The award-winning The New Palgrave Dictionary of Economics, 2nd edition is now available as a dynamic online resource. Consisting of over 1,900 articles written by leading figures in the field including Nobel prize winners, this is the definitive scholarly reference work for a new generation of economists. Regularly updated! This product is a subscription based product.


Corporate and Project Finance Modeling

Corporate and Project Finance Modeling

Author: Edward Bodmer

Publisher: John Wiley & Sons

Published: 2014-11-10

Total Pages: 628

ISBN-13: 1118854365

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A clear and comprehensive guide to financial modeling and valuation with extensive case studies and practice exercises Corporate and Project Finance Modeling takes a clear, coherent approach to a complex and technical topic. Written by a globally-recognized financial and economic consultant, this book provides a thorough explanation of financial modeling and analysis while describing the practical application of newly-developed techniques. Theoretical discussion, case studies and step-by-step guides allow readers to master many difficult modeling problems and also explain how to build highly structured models from the ground up. The companion website includes downloadable examples, templates, and hundreds of exercises that allow readers to immediately apply the complex ideas discussed. Financial valuation is an in-depth process, involving both objective and subjective parameters. Precise modeling is critical, and thorough, accurate analysis is what bridges the gap from model to value. This book allows readers to gain a true mastery of the principles underlying financial modeling and valuation by helping them to: Develop flexible and accurate valuation analysis incorporating cash flow waterfalls, depreciation and retirements, updates for new historic periods, and dynamic presentation of scenario and sensitivity analysis; Build customized spreadsheet functions that solve circular logic arising in project and corporate valuation without cumbersome copy and paste macros; Derive accurate measures of normalized cash flow and implied valuation multiples that account for asset life, changing growth, taxes, varying returns and cost of capital; Incorporate stochastic analysis with alternative time series equations and Monte Carlo simulation without add-ins; Understand valuation effects of debt sizing, sculpting, project funding, re-financing, holding periods and credit enhancements. Corporate and Project Finance Modeling provides comprehensive guidance and extensive explanation, making it essential reading for anyone in the field.