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Financial Statement Analysis

Author: Martin S. Fridson

Publisher: John Wiley & Sons

Published: 2002-10-01

Total Pages: 414

ISBN-13: 0471264601

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Praise for Financial Statement Analysis A Practitioner's Guide Third Edition "This is an illuminating and insightful tour of financial statements, how they can be used to inform, how they can be used to mislead, and how they can be used to analyze the financial health of a company." -Professor Jay O. Light Harvard Business School "Financial Statement Analysis should be required reading for anyone who puts a dime to work in the securities markets or recommends that others do the same." -Jack L. Rivkin Executive Vice President (retired) Citigroup Investments "Fridson and Alvarez provide a valuable practical guide for understanding, interpreting, and critically assessing financial reports put out by firms. Their discussion of profits-'quality of earnings'-is particularly insightful given the recent spate of reporting problems encountered by firms. I highly recommend their book to anyone interested in getting behind the numbers as a means of predicting future profits and stock prices." -Paul Brown Chair-Department of Accounting Leonard N. Stern School of Business, NYU "Let this book assist in financial awareness and transparency and higher standards of reporting, and accountability to all stakeholders." -Patricia A. Small Treasurer Emeritus, University of California Partner, KCM Investment Advisors "This book is a polished gem covering the analysis of financial statements. It is thorough, skeptical and extremely practical in its review." -Daniel J. Fuss Vice Chairman Loomis, Sayles & Company, LP

Book Synopsis Financial Statement Analysis by : Martin S. Fridson

Download or read book Financial Statement Analysis written by Martin S. Fridson and published by John Wiley & Sons. This book was released on 2002-10-01 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Financial Statement Analysis A Practitioner's Guide Third Edition "This is an illuminating and insightful tour of financial statements, how they can be used to inform, how they can be used to mislead, and how they can be used to analyze the financial health of a company." -Professor Jay O. Light Harvard Business School "Financial Statement Analysis should be required reading for anyone who puts a dime to work in the securities markets or recommends that others do the same." -Jack L. Rivkin Executive Vice President (retired) Citigroup Investments "Fridson and Alvarez provide a valuable practical guide for understanding, interpreting, and critically assessing financial reports put out by firms. Their discussion of profits-'quality of earnings'-is particularly insightful given the recent spate of reporting problems encountered by firms. I highly recommend their book to anyone interested in getting behind the numbers as a means of predicting future profits and stock prices." -Paul Brown Chair-Department of Accounting Leonard N. Stern School of Business, NYU "Let this book assist in financial awareness and transparency and higher standards of reporting, and accountability to all stakeholders." -Patricia A. Small Treasurer Emeritus, University of California Partner, KCM Investment Advisors "This book is a polished gem covering the analysis of financial statements. It is thorough, skeptical and extremely practical in its review." -Daniel J. Fuss Vice Chairman Loomis, Sayles & Company, LP

An Introduction to Analysis of Financial Data with R

Author: Ruey S. Tsay

Publisher: John Wiley & Sons

Published: 2014-08-21

Total Pages: 388

ISBN-13: 1119013461

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A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and simple econometric models for business, finance, and economics as well as related topics including: Linear time series analysis, with coverage of exponential smoothing for forecasting and methods for model comparison Different approaches to calculating asset volatility and various volatility models High-frequency financial data and simple models for price changes, trading intensity, and realized volatility Quantitative methods for risk management, including value at risk and conditional value at risk Econometric and statistical methods for risk assessment based on extreme value theory and quantile regression Throughout the book, the visual nature of the topic is showcased through graphical representations in R, and two detailed case studies demonstrate the relevance of statistics in finance. A related website features additional data sets and R scripts so readers can create their own simulations and test their comprehension of the presented techniques. An Introduction to Analysis of Financial Data with R is an excellent book for introductory courses on time series and business statistics at the upper-undergraduate and graduate level. The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.

Book Synopsis An Introduction to Analysis of Financial Data with R by : Ruey S. Tsay

Download or read book An Introduction to Analysis of Financial Data with R written by Ruey S. Tsay and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and simple econometric models for business, finance, and economics as well as related topics including: Linear time series analysis, with coverage of exponential smoothing for forecasting and methods for model comparison Different approaches to calculating asset volatility and various volatility models High-frequency financial data and simple models for price changes, trading intensity, and realized volatility Quantitative methods for risk management, including value at risk and conditional value at risk Econometric and statistical methods for risk assessment based on extreme value theory and quantile regression Throughout the book, the visual nature of the topic is showcased through graphical representations in R, and two detailed case studies demonstrate the relevance of statistics in finance. A related website features additional data sets and R scripts so readers can create their own simulations and test their comprehension of the presented techniques. An Introduction to Analysis of Financial Data with R is an excellent book for introductory courses on time series and business statistics at the upper-undergraduate and graduate level. The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.

Analysis of Financial Data

Author: Gary Koop

Publisher: John Wiley & Sons

Published: 2006-01-09

Total Pages: 264

ISBN-13:

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Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance students, by showing them how to apply such techniques in the context of real-world empirical problems. Adopting a largely non-mathematical approach Analysis of Financial Data relies more on verbal intuition and graphical methods for understanding. Key features include: Coverage of many of the major tools used by the financial economist e.g. correlation, regression, time series analysis and methods for analyzing financial volatility. Extensive use of real data examples, which involves readers in hands-on computer work. Mathematical techniques at a level suited to MBA students and undergraduates taking a first course in the topic. Supplementary material for readers and lecturers provided on an accompanying website.

Book Synopsis Analysis of Financial Data by : Gary Koop

Download or read book Analysis of Financial Data written by Gary Koop and published by John Wiley & Sons. This book was released on 2006-01-09 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of Financial Data teaches the basic methods and techniques of data analysis to finance students, by showing them how to apply such techniques in the context of real-world empirical problems. Adopting a largely non-mathematical approach Analysis of Financial Data relies more on verbal intuition and graphical methods for understanding. Key features include: Coverage of many of the major tools used by the financial economist e.g. correlation, regression, time series analysis and methods for analyzing financial volatility. Extensive use of real data examples, which involves readers in hands-on computer work. Mathematical techniques at a level suited to MBA students and undergraduates taking a first course in the topic. Supplementary material for readers and lecturers provided on an accompanying website.

Financial Data Analytics

Author: Sinem Derindere Köseoğlu

Publisher: Springer Nature

Published: 2022-04-25

Total Pages: 393

ISBN-13: 3030837998

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This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics.

Book Synopsis Financial Data Analytics by : Sinem Derindere Köseoğlu

Download or read book Financial Data Analytics written by Sinem Derindere Köseoğlu and published by Springer Nature. This book was released on 2022-04-25 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics.

Statistical Analysis of Financial Data in S-Plus

Author: René Carmona

Publisher: Springer Science & Business Media

Published: 2006-04-18

Total Pages: 456

ISBN-13: 0387218246

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This is the first book at the graduate textbook level to discuss analyzing financial data with S-PLUS. Its originality lies in the introduction of tools for the estimation and simulation of heavy tail distributions and copulas, the computation of measures of risk, and the principal component analysis of yield curves. The book is aimed at undergraduate students in financial engineering; master students in finance and MBA's, and to practitioners with financial data analysis concerns.

Book Synopsis Statistical Analysis of Financial Data in S-Plus by : René Carmona

Download or read book Statistical Analysis of Financial Data in S-Plus written by René Carmona and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book at the graduate textbook level to discuss analyzing financial data with S-PLUS. Its originality lies in the introduction of tools for the estimation and simulation of heavy tail distributions and copulas, the computation of measures of risk, and the principal component analysis of yield curves. The book is aimed at undergraduate students in financial engineering; master students in finance and MBA's, and to practitioners with financial data analysis concerns.

Statistical Analysis of Financial Data

Author: James Gentle

Publisher: CRC Press

Published: 2020-03-12

Total Pages: 666

ISBN-13: 042993923X

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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.

Book Synopsis Statistical Analysis of Financial Data by : James Gentle

Download or read book Statistical Analysis of Financial Data written by James Gentle and published by CRC Press. This book was released on 2020-03-12 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Analysis of Financial Data in R

Author: René Carmona

Publisher: Springer Science & Business Media

Published: 2013-12-13

Total Pages: 595

ISBN-13: 1461487889

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Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can be used in the solutions of concrete financial problems. Concerns of risk management are addressed by the study of extreme values, the fitting of distributions with heavy tails, the computation of values at risk (VaR), and other measures of risk. Principal component analysis (PCA), smoothing, and regression techniques are applied to the construction of yield and forward curves. Time series analysis is applied to the study of temperature options and nonparametric estimation. Nonlinear filtering is applied to Monte Carlo simulations, option pricing and earnings prediction. This textbook is intended for undergraduate students majoring in financial engineering, or graduate students in a Master in finance or MBA program. It is sprinkled with practical examples using market data, and each chapter ends with exercises. Practical examples are solved in the R computing environment. They illustrate problems occurring in the commodity, energy and weather markets, as well as the fixed income, equity and credit markets. The examples, experiments and problem sets are based on the library Rsafd developed for the purpose of the text. The book should help quantitative analysts learn and implement advanced statistical concepts. Also, it will be valuable for researchers wishing to gain experience with financial data, implement and test mathematical theories, and address practical issues that are often ignored or underestimated in academic curricula. This is the new, fully-revised edition to the book Statistical Analysis of Financial Data in S-Plus. René Carmona is the Paul M. Wythes '55 Professor of Engineering and Finance at Princeton University in the department of Operations Research and Financial Engineering, and Director of Graduate Studies of the Bendheim Center for Finance. His publications include over one hundred articles and eight books in probability and statistics. He was elected Fellow of the Institute of Mathematical Statistics in 1984, and of the Society for Industrial and Applied Mathematics in 2010. He is on the editorial board of several peer-reviewed journals and book series. Professor Carmona has developed computer programs for teaching statistics and research in signal analysis and financial engineering. He has worked for many years on energy, the commodity markets and more recently in environmental economics, and he is recognized as a leading researcher and expert in these areas.

Book Synopsis Statistical Analysis of Financial Data in R by : René Carmona

Download or read book Statistical Analysis of Financial Data in R written by René Carmona and published by Springer Science & Business Media. This book was released on 2013-12-13 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can be used in the solutions of concrete financial problems. Concerns of risk management are addressed by the study of extreme values, the fitting of distributions with heavy tails, the computation of values at risk (VaR), and other measures of risk. Principal component analysis (PCA), smoothing, and regression techniques are applied to the construction of yield and forward curves. Time series analysis is applied to the study of temperature options and nonparametric estimation. Nonlinear filtering is applied to Monte Carlo simulations, option pricing and earnings prediction. This textbook is intended for undergraduate students majoring in financial engineering, or graduate students in a Master in finance or MBA program. It is sprinkled with practical examples using market data, and each chapter ends with exercises. Practical examples are solved in the R computing environment. They illustrate problems occurring in the commodity, energy and weather markets, as well as the fixed income, equity and credit markets. The examples, experiments and problem sets are based on the library Rsafd developed for the purpose of the text. The book should help quantitative analysts learn and implement advanced statistical concepts. Also, it will be valuable for researchers wishing to gain experience with financial data, implement and test mathematical theories, and address practical issues that are often ignored or underestimated in academic curricula. This is the new, fully-revised edition to the book Statistical Analysis of Financial Data in S-Plus. René Carmona is the Paul M. Wythes '55 Professor of Engineering and Finance at Princeton University in the department of Operations Research and Financial Engineering, and Director of Graduate Studies of the Bendheim Center for Finance. His publications include over one hundred articles and eight books in probability and statistics. He was elected Fellow of the Institute of Mathematical Statistics in 1984, and of the Society for Industrial and Applied Mathematics in 2010. He is on the editorial board of several peer-reviewed journals and book series. Professor Carmona has developed computer programs for teaching statistics and research in signal analysis and financial engineering. He has worked for many years on energy, the commodity markets and more recently in environmental economics, and he is recognized as a leading researcher and expert in these areas.

Analysis of Financial Statements

Author: Leopold A. Bernstein

Publisher: McGraw-Hill Professional Publishing

Published: 1984

Total Pages: 408

ISBN-13:

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Turn financial statements into powerful allies in your decision making Whether you're an investor, creditor, consultant, regulator, manager-or an employee concerned about your company's well-being and the stability of your job-the ability to successfully interpret and analyze financial statements gives you a leg up in today's rough-and-tumble marketplace. Analysis of Financial Statements, Fifth Edition, by Leopold A. Bernstein and John J. Wild, gives you every practical, up-to-date method for making the data in financial statements clear and meaningful. You get analytical tools that range from computation of ratio and cash flow measures to earnings prediction and valuation as you learn how to reconstruct the economic reality embedded in financial statements. User-friendly and engaging, this hands-on classic is loaded with graphs, charts, and tables, so you can see how topics relate to the business practices of actual companies. A concluding comprehensive case analysis of the Campbell Soup Company gives shape and color to the author's step-by-step lessons.

Book Synopsis Analysis of Financial Statements by : Leopold A. Bernstein

Download or read book Analysis of Financial Statements written by Leopold A. Bernstein and published by McGraw-Hill Professional Publishing. This book was released on 1984 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turn financial statements into powerful allies in your decision making Whether you're an investor, creditor, consultant, regulator, manager-or an employee concerned about your company's well-being and the stability of your job-the ability to successfully interpret and analyze financial statements gives you a leg up in today's rough-and-tumble marketplace. Analysis of Financial Statements, Fifth Edition, by Leopold A. Bernstein and John J. Wild, gives you every practical, up-to-date method for making the data in financial statements clear and meaningful. You get analytical tools that range from computation of ratio and cash flow measures to earnings prediction and valuation as you learn how to reconstruct the economic reality embedded in financial statements. User-friendly and engaging, this hands-on classic is loaded with graphs, charts, and tables, so you can see how topics relate to the business practices of actual companies. A concluding comprehensive case analysis of the Campbell Soup Company gives shape and color to the author's step-by-step lessons.

Financial Statement Analysis & Valuation

Author: Peter Douglas Easton

Publisher:

Published: 2018

Total Pages:

ISBN-13: 9781618532602

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Book Synopsis Financial Statement Analysis & Valuation by : Peter Douglas Easton

Download or read book Financial Statement Analysis & Valuation written by Peter Douglas Easton and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

International Financial Statement Analysis

Author: Thomas R. Robinson

Publisher: John Wiley & Sons

Published: 2012-04-04

Total Pages: 950

ISBN-13: 1118235126

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Up-to-date information on using financial statement analysis to successfully assess company performance, from the seasoned experts at the CFA Institute Designed to help investment professionals and students effectively evaluate financial statements in today's international and volatile markets, amid an uncertain global economic climate, International Financial Statement Analysis, Second Edition compiles unparalleled wisdom from the CFA in one comprehensive volume. Written by a distinguished team of authors and experienced contributors, the book provides complete coverage of the key financial field of statement analysis. Fully updated with new standards and methods for a post crisis world, this Second Edition covers the mechanics of the accounting process; the foundation for financial reporting; the differences and similarities in income statements, balance sheets, and cash flow statements around the world; examines the implications for securities valuation of any financial statement element or transaction, and shows how different financial statement analysis techniques can provide valuable clues into a company's operations and risk characteristics. Financial statement analysis allows for realistic valuations of investment, lending, or merger and acquisition opportunities Essential reading for financial analysts, investment analysts, portfolio managers, asset allocators, graduate students, and others interested in this important field of finance Includes key coverage of income tax accounting and reporting, the difficulty of measuring the value of employee compensation, and the impact of foreign exchange rates on the financial statements of multinational corporations Financial statement analysis gives investment professionals important insights into the true financial condition of a company, and International Financial Statement Analysis, Second Edition puts the full knowledge of the CFA at your fingertips.

Book Synopsis International Financial Statement Analysis by : Thomas R. Robinson

Download or read book International Financial Statement Analysis written by Thomas R. Robinson and published by John Wiley & Sons. This book was released on 2012-04-04 with total page 950 pages. Available in PDF, EPUB and Kindle. Book excerpt: Up-to-date information on using financial statement analysis to successfully assess company performance, from the seasoned experts at the CFA Institute Designed to help investment professionals and students effectively evaluate financial statements in today's international and volatile markets, amid an uncertain global economic climate, International Financial Statement Analysis, Second Edition compiles unparalleled wisdom from the CFA in one comprehensive volume. Written by a distinguished team of authors and experienced contributors, the book provides complete coverage of the key financial field of statement analysis. Fully updated with new standards and methods for a post crisis world, this Second Edition covers the mechanics of the accounting process; the foundation for financial reporting; the differences and similarities in income statements, balance sheets, and cash flow statements around the world; examines the implications for securities valuation of any financial statement element or transaction, and shows how different financial statement analysis techniques can provide valuable clues into a company's operations and risk characteristics. Financial statement analysis allows for realistic valuations of investment, lending, or merger and acquisition opportunities Essential reading for financial analysts, investment analysts, portfolio managers, asset allocators, graduate students, and others interested in this important field of finance Includes key coverage of income tax accounting and reporting, the difficulty of measuring the value of employee compensation, and the impact of foreign exchange rates on the financial statements of multinational corporations Financial statement analysis gives investment professionals important insights into the true financial condition of a company, and International Financial Statement Analysis, Second Edition puts the full knowledge of the CFA at your fingertips.