Advertisement
| ai financial statement analysis: Financial Statement Analysis Martin S. Fridson, Fernando Alvarez, 2002-10-01 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 |
| ai financial statement analysis: Financial Statement Analysis & Valuation Peter Douglas Easton, Mary Lea McAnally, Gregory A. Sommers, Xiao-Jun Zhang ((Michael Chetkovich Chair in Accounting, University of California, Berkeley)), 2018 |
| ai financial statement analysis: International Financial Statement Analysis Thomas R. Robinson, Elaine Henry, Wendy L. Pirie, Michael A. Broihahn, 2012-04-04 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. |
| ai financial statement analysis: Artificial Intelligence in Financial Markets Christian L. Dunis, Peter W. Middleton, Andreas Karathanasopolous, Konstantinos Theofilatos, 2016-11-21 As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field. |
| ai financial statement analysis: Financial Statement Analysis John J. Wild, K. R. Subramanyam, Robert F. Halsey, 2007 Financial Statement Analysis, 9e, emphasizes effective business analysis and decision making by analysts, investors, managers, and other stakeholders of the company. It continues to set the standard (over 8 prior editions and hundreds of thousands in unit book sales) in showing students the keys to effective financial statement analysis. It begins with an overview (chapters 1-2), followed by accounting analysis (chapters 3-6) and then financial analysis (chapters 7-11). The book presents a balanced view of analysis, including both equity and credit analysis, and both cash-based and earnings-based valuation models. The book is aimed at accounting and finance classes, and the professional audience as it shows the relevance of financial statement analysis to all business decision makers. The authors:1. Use numerous and timely real world examples and cases2. Draw heavily on actual excerpts from financial reports and footnotes3. Focus on analysis and interpretation of financial reports and their footnotes4. Illustrate debt and equity valuation that uses results of financial statement analysis5. Have a concise writing style to make the material accessible |
| ai financial statement analysis: Analysis of Financial Statements Pamela Peterson Drake, Frank J. Fabozzi, 2012-11-06 The fully update Third Edition of the most trusted book on financial statement analysis Recent financial events have taught us to take a more critical look at the financial disclosures provides by companies. In the Third Edition of Analysis of Financial Statements, Pamela Peterson-Drake and Frank Fabozzi once again team up to provide a practical guide to understanding and interpreting financial statements. Written to reflect current market conditions, this reliable resource will help analysts and investors use these disclosures to assess a company's financial health and risks. Throughout Analysis of Financial Statements, Third Edition, the authors demonstrate the nuts and bolts of financial analysis by applying the techniques to actual companies. Along the way, they tackle the changing complexities in the area of financial statement analysis and provide an up-to-date perspective of new acts of legislation and events that have shaped the field. Addresses changes to U.S. and international accounting standards, as well as innovations in the areas of credit risk models and factor models Includes examples, guidance, and an incorporation of information pertaining to recent events in the accounting/analysis community Covers issues of transparency, cash flow, income reporting, and much more Whether evaluating a company's financial information or figuring valuation for M&A's, analyzing financial statements is essential for both professional investors and corporate finance executives. The Third Edition of Analysis of Financial Statements contains valuable insights that can help you excel at this endeavor. |
| ai financial statement analysis: Principles of Accounting Volume 1 - Financial Accounting Mitchell Franklin, Patty Graybeal, Dixon Cooper, 2019-04-11 The text and images in this book are in grayscale. A hardback color version is available. Search for ISBN 9781680922929. Principles of Accounting is designed to meet the scope and sequence requirements of a two-semester accounting course that covers the fundamentals of financial and managerial accounting. This book is specifically designed to appeal to both accounting and non-accounting majors, exposing students to the core concepts of accounting in familiar ways to build a strong foundation that can be applied across business fields. Each chapter opens with a relatable real-life scenario for today's college student. Thoughtfully designed examples are presented throughout each chapter, allowing students to build on emerging accounting knowledge. Concepts are further reinforced through applicable connections to more detailed business processes. Students are immersed in the why as well as the how aspects of accounting in order to reinforce concepts and promote comprehension over rote memorization. |
| ai financial statement analysis: Crash Course in Accounting and Financial Statement Analysis Matan Feldman, Arkady Libman, 2011-07-20 Seamlessly bridging academic accounting with real-life applications, Crash Course in Accounting and Financial Statement Analysis, Second Edition is the perfect guide to a complete understanding of accounting and financial statement analysis for those with no prior accounting background and those who seek a refresher. |
| ai financial statement analysis: The Fundamentals of Financial Statement Analysis as Applied to the Coca-Cola Company Carl McGowan, 2014-10-05 Recent stock market crises are exacerbated by investors who don’t understand what has been happening to companies because investors lack an understanding of financial ratio analysis. Stock markets are efficient in that they incorporate, and even anticipate, information about companies based on financial accounting data provided by companies. However, market efficiency results from extensive analysis performed by financial analysts. Much of this financial analysis is based on the analysis of financial information provided by companies and analyzed using financial ratio analysis. This book provides a step-by-step demonstration of how to download data from Internet sources, transfer the data to a spreadsheet, and conduct a financial ratio analysis of any company. The book outlines the steps needed to perform a financial ratio analysis, the financial statements to be retrieved from EDGAR, and the five categories of financial ratios used in the financial analysis of the company. The data retrieved from the financial statements is copied to a worksheet and used to compute and graph the financial ratios. The ratios and graphs are used to determine the performance drivers of this company. |
| ai financial statement analysis: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight. |
| ai financial statement analysis: Financial Reporting and Analysis Lawrence Revsine, Daniel Collins, Bruce Johnson, Fred Mittelstaedt, 2008-06-30 Financial Reporting & Analysis (FR&A) by Revsine/Collins/Johnson/Mittelstaedt emphasizes both the process of financial reporting and the analysis of financial statements. This book employs a true user perspective by discussing the contracting and decision implications of accounting and this helps readers understand why accounting choices matter and to whom. Revsine, Collins, Johnson, and Mittelstaedt train their readers to be good financial detectives, able to read, use, and interpret the statements and-most importantly understand how and why managers can utilize the flexibility in GAAP to manipulate the numbers for their own purposes. |
| ai financial statement analysis: Analyzing Financial Statements Thomas P. Carlin, Albert R. McMeen, 1993 Aimed at commercial loan officers and officer trainees familiar with basic accounting principles and practices, this text details how to use advanced analytical techniques, including sensitivity analysis and operation leverage as well as providing the practice necessary to construct and analyze long-run, multiple year forecasts of income statements and balance sheets. |
| ai financial statement analysis: The Art of Company Valuation and Financial Statement Analysis Nicolas Schmidlin, 2014-06-09 The Art of Company Valuation and Financial Statement Analysis: A value investor’s guide with real-life case studies covers all quantitative and qualitative approaches needed to evaluate the past and forecast the future performance of a company in a practical manner. Is a given stock over or undervalued? How can the future prospects of a company be evaluated? How can complex valuation methods be applied in practice? The Art of Company Valuation and Financial Statement Analysis answers each of these questions and conveys the principles of company valuation in an accessible and applicable way. Valuation theory is linked to the practice of investing through financial statement analysis and interpretation, analysis of business models, company valuation, stock analysis, portfolio management and value Investing. The book’s unique approach is to illustrate each valuation method with a case study of actual company performance. More than 100 real case studies are included, supplementing the sound theoretical framework and offering potential investors a methodology that can easily be applied in practice. Written for asset managers, investment professionals and private investors who require a reliable, current and comprehensive guide to company valuation, the book aims to encourage readers to think like an entrepreneur, rather than a speculator, when it comes to investing in the stock markets. It is an approach that has led many to long term success and consistent returns that regularly outperform more opportunistic approaches to investment. |
| ai financial statement analysis: Warren Buffett and the Interpretation of Financial Statements Mary Buffett, David Clark, 2011-01-06 With an insider's view of the mind of the master, Mary Buffett and David Clark have written a simple guide for reading financial statements from Buffett's successful perspective. They clearly outline Warren Buffett's strategies in a way that will appeal to newcomers and seasoned Buffettologists alike. Inspired by the seminal work of Buffett's mentor, Benjamin Graham, this book presents Buffett's interpretation of financial statements with anecdotes and quotes from the master investor himself. Destined to become a classic in the world of investment books, Warren Buffett and the Interpretation of Financial Statements is the perfect companion volume to The New Buffettology and The Tao of Warren Buffett. |
| ai financial statement analysis: Comprehensive Financial Accountancy XII , |
| ai financial statement analysis: Artificial Intelligence and Big Data for Financial Risk Management Noura Metawa, M. Kabir Hassan, Saad Metawa, 2022-08-26 This book presents a collection of high-quality contributions on the state-of-the-art in Artificial Intelligence and Big Data analysis as it relates to financial risk management applications. It brings together, in one place, the latest thinking on an emerging topic and includes principles, reviews, examples, and research directions. The book presents numerous specific use-cases throughout, showing practical applications of the concepts discussed. It looks at technologies such as eye movement analysis, data mining or mobile apps and examines how these technologies are applied by financial institutions, and how this affects both the institutions and the market. This work introduces students and aspiring practitioners to the subject of risk management in a structured manner. It is primarily aimed at researchers and students in finance and intelligent big data applications, such as intelligent information systems, smart economics and finance applications, and the internet of things in a marketing environment. |
| ai financial statement analysis: Introduction to Business Lawrence J. Gitman, Carl McDaniel, Amit Shah, Monique Reece, Linda Koffel, Bethann Talsma, James C. Hyatt, 2024-09-16 Introduction to Business covers the scope and sequence of most introductory business courses. The book provides detailed explanations in the context of core themes such as customer satisfaction, ethics, entrepreneurship, global business, and managing change. Introduction to Business includes hundreds of current business examples from a range of industries and geographic locations, which feature a variety of individuals. The outcome is a balanced approach to the theory and application of business concepts, with attention to the knowledge and skills necessary for student success in this course and beyond. This is an adaptation of Introduction to Business by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License. |
| ai financial statement analysis: Financial Forecasting, Analysis, and Modelling Michael Samonas, 2015-01-20 Risk analysis has become critical to modern financial planning Financial Forecasting, Analysis and Modelling provides a complete framework of long-term financial forecasts in a practical and accessible way, helping finance professionals include uncertainty in their planning and budgeting process. With thorough coverage of financial statement simulation models and clear, concise implementation instruction, this book guides readers step-by-step through the entire projection plan development process. Readers learn the tools, techniques, and special considerations that increase accuracy and smooth the workflow, and develop a more robust analysis process that improves financial strategy. The companion website provides a complete operational model that can be customised to develop financial projections or a range of other key financial measures, giving readers an immediately-applicable tool to facilitate effective decision-making. In the aftermath of the recent financial crisis, the need for experienced financial modelling professionals has steadily increased as organisations rush to adjust to economic volatility and uncertainty. This book provides the deeper level of understanding needed to develop stronger financial planning, with techniques tailored to real-life situations. Develop long-term projection plans using Excel Use appropriate models to develop a more proactive strategy Apply risk and uncertainty projections more accurately Master the Excel Scenario Manager, Sensitivity Analysis, Monte Carlo Simulation, and more Risk plays a larger role in financial planning than ever before, and possible outcomes must be measured before decisions are made. Uncertainty has become a critical component in financial planning, and accuracy demands it be used appropriately. With special focus on uncertainty in modelling and planning, Financial Forecasting, Analysis and Modelling is a comprehensive guide to the mechanics of modern finance. |
| ai financial statement analysis: Artificial Intelligence Valuation Roberto Moro-Visconti, |
| ai financial statement analysis: FINANCIAL STATEMENT ANALYSIS AND REPORTING RAO, PEDDINA MOHANA, 2021-11-18 This book, in its second edition, continues to provide a clear presentation of the financial statements of business enterprises. It provides a distinct understanding of the fundamental tools and principles of finance, financial management, financial statements and their analysis in a logical manner to serve the students and readers. It includes a detailed study on various topics to cover the academic needs of the undergraduate and postgraduate students of Commerce and Management. The text will also be useful for the students of ICWAI, ICMA and ICSI. NEW TO SECOND EDITION o New chapters on • Valuation • Human Resource Accounting • Share Based Payments • Financial Reporting for Financial Institutions. o Book's Companion website https://www.phindia.com/financial_statement_analysis_and_reporting_rao containing additional worked-out examples TARGET AUDIENCE • B.Com / M.Com • BBA / MBA • Students of ICWAI, ICMA and ICSI |
| ai financial statement analysis: Corporate Financial Reporting and Analysis S. David Young, Jacob Cohen, Daniel A. Bens, 2018-11-28 Corporate Financial Reporting Analysis combines comprehensive coverage and a rigorous approach to modern financial reporting with a readable and accessible style. Merging traditional principles of corporate finance and accepted reporting practices with current models enable the reader to develop essential interpretation and analysis skills, while the emphasis on real-world practicality and methodology provides seamless coverage of both GAAP and IFRS requirements for enhanced global relevance. Two decades of classroom testing among INSEAD MBA students has honed this text to provide the clearest, most comprehensive model for financial statement interpretation and analysis; a concise, logically organized pedagogical framework includes problems, discussion questions, and real-world case studies that illustrate applications and current practices, and in-depth examination of key topics clarifies complex concepts and builds professional intuition. With insightful coverage of revenue recognition, inventory accounting, receivables, long-term assets, M&A, income taxes, and other principle topics, this book provides both education and ongoing reference for MBA students. |
| ai financial statement analysis: Artificial Intelligence Approaches to Sustainable Accounting Tavares, Maria C., Azevedo, Graça, Vale, José, Marques, Rui, Bastos, Maria Anunciação, 2024-04-01 In an age defined by unparalleled technological advancements, globalization, and the looming specter of environmental and societal crises, the need for a holistic and sustainable approach to accounting practices has never been more pressing. Academic scholars stand witness to the challenges posed by the new era, characterized by transformative shifts across industry, education, community, and society at large. These shifts, driven by rapid advancements in Artificial Intelligence (AI), present a double-edged sword. While AI offers unprecedented opportunities for innovation, it also amplifies the urgency of addressing sustainability concerns. Today's society grapples with the immense responsibility of achieving the Sustainable Development Goals (SDGs) outlined in Agenda 2030. It is imperative to not only understand but harness the power of AI to drive sustainability, enhance the quality of life, and ensure sustainable growth on both local and global scales. Artificial Intelligence Approaches to Sustainable Accounting serves as a beacon of knowledge, providing a comprehensive exploration of the intersection between AI, accounting, and sustainability. This book represents a vital solution to the challenges faced by academic scholars and practitioners alike. Within its pages lies a transdisciplinary approach that bridges the gap between these critical fields. Discover how AI can elevate accounting to new heights, extending the spectrum of information in organizational decision-making, promoting responsible reporting practices, and bolstering sustainable practices worldwide. This book not only reviews governance and management processes but also offers practical methodologies that empower organizations to embrace sustainability wholeheartedly. |
| ai financial statement analysis: Artificial Intelligence in Banking Introbooks, 2020-04-07 In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, In a world focused on using AI in new ways, we're focused on using it wisely and responsibly. |
| ai financial statement analysis: Accountancy Class - XII SBPD Publications Dr. S.K. Singh, 2021-10-28 Part 'A' : Accounting for Not-for-Profit Organisations and Partnership Firms 1. Accounting for Not-for-Profit Organisations, 2. Accounting for Partnership Firms—Fundamentals, 3. Goodwill : Meaning, Nature, Factors Affecting and Methods of Valuation, 4. Reconstitution of Partnership—Change in Profit-Sharing Ratio among the Existing Partners, 5. Admission of a Partner, 6. Retirement of a Partner, 7. Death of a Partner, 8. Dissolution of Partnership Firm, 9. Company : General Introduction, 10. Accounting for Share Capital : Share and Share Capital, 11. Accounting for Share Capital : Issue of Shares, 12. Forfeiture and Re-Issue of Shares, 13. Issue of Debentures, 14. Redemption of Debentures Part 'B' : Company Accounts and Financial Statements Analysis 15. Financial Statements of a Company : Balance Sheet and Statement of Profit and Loss, 16. Analysis of Financial Statements, 17. Tools for Financial Statement Analysis : Comparative Statements, 18. Common-Size Statements, 19. Accounting Ratios, 20 . Cash Flow Statement, OR Part 'B' : Computer in Accounting 1 . Introduction to Computer and Accounting Information System (AIS) 2. Overview of Computerised Accounting, 3. Database Management System 4. Electronic Spreadsheet. Project Work Examination Paper |
| ai financial statement analysis: Python for Finance Yves Hilpisch, 2014-12-11 The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies |
| ai financial statement analysis: Loose Leaf for Financial Reporting & Analysis Fred Mittelstaedt, Lawrence Revsine, Bruce Johnson, Professor, Leonard C. Soffer, Daniel W. Collins, Professor, 2017-02-08 For the first time, Revsine's Financial Reporting & Analysis will feature Connect, the premier digital teaching and learning tool that allows instructors to assign and assess course material. Financial Reporting & Analysis (FR&A) by Revsine/Collins/Johnson/Mittelstaedt emphasizes both the process of financial reporting and the analysis of financial statements. This book employs a true user perspective by discussing the contracting and decision implications of accounting, helping readers understand why accounting choices are so important and to whom they matter. Revsine, Collins, Johnson, and Mittelstaedt train their readers to be good financial detectives by enabling them to read, use, and interpret the statements. Most importantly, FR&A helps students understand how and why managers can utilize the flexibility in GAAP to adapt the numbers for their own purposes. |
| ai financial statement analysis: Financial Statement Fraud Gerard M. Zack, 2012-11-28 Valuable guidance for staying one step ahead of financial statement fraud Financial statement fraud is one of the most costly types of fraud and can have a direct financial impact on businesses and individuals, as well as harm investor confidence in the markets. While publications exist on financial statement fraud and roles and responsibilities within companies, there is a need for a practical guide on the different schemes that are used and detection guidance for these schemes. Financial Statement Fraud: Strategies for Detection and Investigation fills that need. Describes every major and emerging type of financial statement fraud, using real-life cases to illustrate the schemes Explains the underlying accounting principles, citing both U.S. GAAP and IFRS that are violated when fraud is perpetrated Provides numerous ratios, red flags, and other techniques useful in detecting financial statement fraud schemes Accompanying website provides full-text copies of documents filed in connection with the cases that are cited as examples in the book, allowing the reader to explore details of each case further Straightforward and insightful, Financial Statement Fraud provides comprehensive coverage on the different ways financial statement fraud is perpetrated, including those that capitalize on the most recent accounting standards developments, such as fair value issues. |
| ai financial statement analysis: Financial Modeling and Valuation Paul Pignataro, 2013-07-10 Written by the Founder and CEO of the prestigious New York School of Finance, this book schools you in the fundamental tools for accurately assessing the soundness of a stock investment. Built around a full-length case study of Wal-Mart, it shows you how to perform an in-depth analysis of that company's financial standing, walking you through all the steps of developing a sophisticated financial model as done by professional Wall Street analysts. You will construct a full scale financial model and valuation step-by-step as you page through the book. When we ran this analysis in January of 2012, we estimated the stock was undervalued. Since the first run of the analysis, the stock has increased 35 percent. Re-evaluating Wal-Mart 9months later, we will step through the techniques utilized by Wall Street analysts to build models on and properly value business entities. Step-by-step financial modeling - taught using downloadable Wall Street models, you will construct the model step by step as you page through the book. Hot keys and explicit Excel instructions aid even the novice excel modeler. Model built complete with Income Statement, Cash Flow Statement, Balance Sheet, Balance Sheet Balancing Techniques, Depreciation Schedule (complete with accelerating depreciation and deferring taxes), working capital schedule, debt schedule, handling circular references, and automatic debt pay downs. Illustrative concepts including detailing model flows help aid in conceptual understanding. Concepts are reiterated and honed, perfect for a novice yet detailed enough for a professional. Model built direct from Wal-Mart public filings, searching through notes, performing research, and illustrating techniques to formulate projections. Includes in-depth coverage of valuation techniques commonly used by Wall Street professionals. Illustrative comparable company analyses - built the right way, direct from historical financials, calculating LTM (Last Twelve Month) data, calendarization, and properly smoothing EBITDA and Net Income. Precedent transactions analysis - detailing how to extract proper metrics from relevant proxy statements Discounted cash flow analysis - simplifying and illustrating how a DCF is utilized, how unlevered free cash flow is derived, and the meaning of weighted average cost of capital (WACC) Step-by-step we will come up with a valuation on Wal-Mart Chapter end questions, practice models, additional case studies and common interview questions (found in the companion website) help solidify the techniques honed in the book; ideal for universities or business students looking to break into the investment banking field. |
| ai financial statement analysis: Financial Shenanigans Howard M. Schilit, 2002-03-22 Techniques to uncover and avoid accounting frauds and scams Inflated profits . . . Suspicious write-offs . . . Shifted expenses . . . These and other dubious financial maneuvers have taken on a contemporary twist as companies pull out the stops in seeking to satisfy Wall Street. Financial Shenanigans pulls back the curtain on the current climate of accounting fraud. It presents tools that anyone who is potentially affected by misleading business valuationsfrom investors and lenders to managers and auditorscan use to research and read financial reports, and to identify early warning signs of a company's problems. A bestseller in its first edition, Financial Shenanigans has been thoroughly updated for today's marketplace. New chapters, data, and research reveal contemporary shenanigans that have been known to fool even veteran researchers. |
| ai financial statement analysis: OECD Sovereign Borrowing Outlook 2021 OECD, 2021-05-20 This edition of the OECD Sovereign Borrowing Outlook reviews developments in response to the COVID-19 pandemic for government borrowing needs, funding conditions and funding strategies in the OECD area. |
| ai financial statement analysis: Asian Financial Statement Analysis ChinHwee Tan, Thomas R. Robinson, 2014-04-14 Gain a deeper understanding of Asian financial reporting and how to detect irregularities The Asian region, and particularly China, is becoming a hotbed of investment activity. There have been quite a few accounting scandals in Asia in the recent years – now rivaling those we have seen in the Americas and Europe. Assessing potential or active overseas investments requires reliance on financial statements, the full parameters of which may vary from region to region. To effectively analyze statements, it is necessary to first understand the framework underlying these financial statements and then lay out a protocol for detecting irregularities. It's impossible to create and implement a practical plan without a deeper knowledge of the various factors at play. Asian Statement Analysis: Detecting Financial Irregularities provides a framework for analysis that makes irregularities stand out. Authors Chin Hwee Tan and Thomas R. Robinson discuss international financial reporting standards, including characteristics particular to the Asian region. Tan and Robinson's combined background in academia and Asian finance give them a multi-modal perspective and position them as top authorities on the topic. In the book, they address issues such as: Detection of irregularities independent of particular accounting rules The most common irregularities in the Asian market Similarities and differences between U.S. and Asian accounting techniques An overarching framework for irregularity detection The book uses real-world examples to illustrate the concepts presented, with the focus on Asian companies. As the first ever in-depth study on manipulation and irregularities in the Asian market, Asian Financial Statement Analysis: Detecting Financial Irregularities is uniquely positioned to be a valuable resource in the move toward the next phase of global reporting standards. |
| ai financial statement analysis: 投资分析与组合管理 Frank K. Reilly, 2002 本书向您介绍了投资分析与组合管理。 |
| ai financial statement analysis: Corporate Finance Workbook Michelle R. Clayman, Martin S. Fridson, George H. Troughton, 2012-02-14 The workbook to accompany Corporate Finance: A Practical Approach, Second Edition |
| ai financial statement analysis: Artificial Intelligence for Risk Mitigation in the Financial Industry Ambrish Kumar Mishra, Shweta Anand, Narayan C. Debnath, Purvi Pokhariyal, Archana Patel, 2024-05-29 Artificial Intelligence for Risk Mitigation in the Financial Industry This book extensively explores the implementation of AI in the risk mitigation process and provides information for auditing, banking, and financial sectors on how to reduce risk and enhance effective reliability. The applications of the financial industry incorporate vast volumes of structured and unstructured data to gain insight into the financial and non-financial performance of companies. As a result of exponentially increasing data, auditors and management professionals need to enhance processing capabilities while maintaining the effectiveness and reliability of the risk mitigation process. The risk mitigation and audit procedures are processes involving the progression of activities to “transform inputs into output.” As AI systems continue to grow mainstream, it is difficult to imagine an aspect of risk mitigation in the financial industry that will not require AI-related assurance or AI-assisted advisory services. AI can be used as a strong tool in many ways, like the prevention of fraud, money laundering, and cybercrime, detection of risks and probability of NPAs at early stages, sound lending, etc. Audience This is an introductory book that provides insights into the advantages of risk mitigation by the adoption of AI in the financial industry. The subject is not only restricted to individuals like researchers, auditors, and management professionals, but also includes decision-making authorities like the government. This book is a valuable guide to the utilization of AI for risk mitigation and will serve as an important standalone reference for years to come. |
| ai financial statement analysis: The Essentials of Machine Learning in Finance and Accounting Mohammad Zoynul Abedin, M. Kabir Hassan, Petr Hajek, Mohammed Mohi Uddin, 2021-06-20 This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management. |
| ai financial statement analysis: Towards Digitally Transforming Accounting and Business Processes Tankiso Moloi, Babu George, 2024-01-11 This conference volume discusses the findings of the iCAB 2023 conference that took place in Johannesburg, South Africa. The University of Johannesburg (UJ School of Accounting and Johannesburg Business School) in collaboration with Alcorn State University (USA), Salem State University (USA) and Universiti Teknologi Mara (Malaysia) hosted the iCAB 2023 conference with the aim to bring together researchers from different Accounting and Business Management fields to share ideas and discuss how new disruptive technological developments are impacting the field of accounting. The conference was sponsored by the Association of International Certified Professional Accountants AICPA & CIMA. |
| ai financial statement analysis: Artificial Intelligence in Accounting and Auditing Mariarita Pierotti, |
| ai financial statement analysis: AI and Financial Markets Shigeyuki Hamori, Tetsuya Takiguchi, 2020-07-01 Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety of academic and practical purposes in the context of financial markets. This book focuses on the broad topic of “AI and Financial Markets”, and includes novel research associated with this topic. The book includes contributions on the application of machine learning, agent-based artificial market simulation, and other related skills to the analysis of various aspects of financial markets. |
| ai financial statement analysis: Artificial Intelligence Enabled Management Rubee Singh, Shahbaz Khan, Anil Kumar, Vikas Kumar, 2024-06-04 Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for decision making in current management practices. Artificial Intelligence Enabled Management argues that the economic problems facing academics, professionals, managers, governments, businesses and those at the bottom of the economic pyramid have a technical solution that relates to AI. Businesses in developing countries are using cutting-edge AI-based solutions to improve autonomous delivery of goods and services, implement automation of production and develop mobile apps for services and access to credit. By integrating data from websites, social media and conventional channels, companies are developing data management platforms, good business plans and creative business models. By increasing productivity, automating business processes, financial solutions and government services, AI can drive economic growth in these emerging economies. Public and private sectors can work together to find innovative solutions that simultaneously alleviate poverty and inequality and increase economic mobility and prosperity. The thought-provoking contributions in this book also bring attention to new barriers that have emerged in the acceptance, use, integration and deployment of AI by businesses in developing countries and explore the often-overlooked drawbacks of AI adoption that can hinder or even cause value loss. The book is a must-read for policymakers, researchers, and anyone interested in understanding the critical role of AI in the emerging economy perspective. |
| ai financial statement analysis: Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship Elias G Carayannis, Evangelos Grigoroudis, 2023-02-14 The Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship focuses on theories, policies, practices, and politics of technology innovation and entrepreneurship based on Artificial Intelligence (AI). It examines when, where, how, and why AI triggers, catalyzes, and accelerates the development, exploration, exploitation, and invention feeding into entrepreneurial actions that result in innovation success. |
Financial Statement Analysis with Large Language Models
Financial statement analysis (FSA), sometimes referred to as fundamental analysis, is a particularly useful setting to examine the role of LLMs in future decision-making. Tra- ...
Machine Learning-Based Financial Statement Analysis
et al.2017), and textual analysis (Li2008,2010).2. Financial statement analysis research might particularly lend itself to machine learning-based approaches due to the high dimen-sionality of …
Ai Financial Statement Analysis (Download Only)
The future of AI in financial statement analysis is bright, with ongoing advancements in machine learning techniques promising even more powerful capabilities. We can expect to see …
How we harness Generative AI for a smarter, digital audit
Classifying financial statement content for benchmarking and streamlined analysis Document intelligence Extracting relevant text from documents accelerates analysis Smart ... Insightful …
AI in financial reporting and audit: Navigating the new era - KPMG
a)No plans: Do not have plans to use AI for financial reporting. b)Planning: Considering how to use AI for financial reporting. c)Piloting: Conducting AI pilots for financial reporting and. …
Artificial Intelligence in Accounting and Auditing - Rutgers University
AI/ES started to be used and are being progressively incorporated into the state-of-the-art. Soul searching and evaluation is progressing in the academic field to assess the emerging tools and …
AI-Enabled Financial Report Automation for Finance Leaders
Financial Statement Analysis Challenge The lives of corporate accountants revolve around the certain coming of the financial close with the end of each month, quarter, and year. That …
AI in financial reporting and auditing: Navigating the new era
AI in financial reporting and audit: Navigating the new era | 2 Foreword. AI is transforming financial reporting and auditing. They are often seen as time-consuming and monotonous …
GenAI in the accounting/finance function - KPMG
Generative AI is a branch of deep learning that involves unsupervised and semi -supervised algorithms that enable the generation of new content and data. ... Financial scenario analysis. …
Financial Statement Analysis with Large Language Models
Financial Statement Analysis with Large Language Models Based on BFI Working Paper No. 2024-65, “Financial Statement Analysis with Large Language Models,” by Alex G. Kim, ...
Large Language Models with Financial Analysis - GitHub Pages
1.an AI tool analyzing market news and optional financial data for a specific company. 2.Offers a stock price movement forecast for the upcoming week along with summarized analysis. 3.Fine …
Financial Statement Analysis with Large Language Models
AI-based approach to financial statement analysis. First, financial statement analysis is a complex and loosely defined task that involves ambiguity and requires common sense, intu-ition, and …
Artificial intelligence and machine learning in financial services - FSB
Micro-financial analysis..... 24 4.1 Possible effects of AI and machine learning on financial markets ... sets using a variety of techniques including AI. 6. Analysis of such large and compli cated …
Fundamental Analysis of Detailed Financial Data: A Machine …
companies must enclose quantitative amounts in financial statements and footnotes of their 10-K reports with XBRL tags (see Appendix A for two examples). As such, the XBRL-tagged data …
Hot topic: Artificial Intelligence - KPMG
operational aspects of its business and/or its financial reporting processes, including internal controls. Examples of how entities may use AI in financial reporting processes include the …
Large Language Models in Finance: A Survey - arXiv.org
Applying AI in financial advisory and customer-related services is an emerging and rapidly growing field. AI-powered chatbots, as discussed in [32], already provide ... demonstrates the …
AI’s Role in Enhancing Trust in Financial Reporting and the ... - KPMG
72% of financial reporting leaders believe external auditors are ahead of financial reporting functions on using AI and expect AI to enhance audit quality. • Financial reporting leaders …
An Introduction to AI in Financial Statement Audits - Rotman …
Phase 1: AI education • Understand the benefits AI brings to the analysis of financial data • Read about AI, visit AI focused conferences, attend webinars and workshops covering the topics of …
AI in financial reporting and audit: Navigating the new era - KPMG
a)No plans: Do not ha ve plans to use AI for financial reporting b)Planning: Considering ho w to use AI for financial reporting c)Piloting: Conducting AI pilots for financial reporting and …
THE RISE OF AI AND MACHINE LEARNING IN FINANCE AND …
Overall, the benefits of AI for finance teams and auditors are similar, it improves the effectiveness of processes and controls, executing them more efficiently and driving higher quality. AI tools …
Financial Statement Analysis with Large Language Models
Financial statement analysis (FSA), sometimes referred to as fundamental analysis, is a particularly useful setting to examine the role of LLMs in future decision-making. Tra- ... forecasts with the timing of AI-based forecasts. Financial Statement Analysis with Large Language Models 4
Machine Learning-Based Financial Statement Analysis
et al.2017), and textual analysis (Li2008,2010).2. Financial statement analysis research might particularly lend itself to machine learning-based approaches due to the high dimen-sionality of the information contained in general purpose nancial statements and their inter-temporal dependencies.
Ai Financial Statement Analysis (Download Only)
The future of AI in financial statement analysis is bright, with ongoing advancements in machine learning techniques promising even more powerful capabilities. We can expect to see increased integration of AI into existing financial software, leading to more user-friendly and accessible tools.
How we harness Generative AI for a smarter, digital audit
Classifying financial statement content for benchmarking and streamlined analysis Document intelligence Extracting relevant text from documents accelerates analysis Smart ... Insightful data analysis Generative AI can analyze vast amounts of financial data, identify patterns, and generate visuals for effective client interactions. This
AI in financial reporting and audit: Navigating the new era - KPMG
a)No plans: Do not have plans to use AI for financial reporting. b)Planning: Considering how to use AI for financial reporting. c)Piloting: Conducting AI pilots for financial reporting and. evaluating results. d)Selective adoption: Using AI across one of two areas of financial reporting. e)Wide adoption: Using AI for a variety of areas of ...
Artificial Intelligence in Accounting and Auditing - Rutgers University
AI/ES started to be used and are being progressively incorporated into the state-of-the-art. Soul searching and evaluation is progressing in the academic field to assess the emerging tools and where is the optimum domain of ... expert systems for financial statement analysis and .
AI-Enabled Financial Report Automation for Finance Leaders
Financial Statement Analysis Challenge The lives of corporate accountants revolve around the certain coming of the financial close with the end of each month, quarter, and year. That predictability of the financial close cycle does not make financial reporting any easier for accounting teams across the globe. Delays, rushed reviews, and ...
AI in financial reporting and auditing: Navigating the new era - KPMG
AI in financial reporting and audit: Navigating the new era | 2 Foreword. AI is transforming financial reporting and auditing. They are often seen as time-consuming and monotonous exercises, requiring statistical sampling methods and manual checking of financial data. Further, the human ability to work with big data
GenAI in the accounting/finance function - KPMG
Generative AI is a branch of deep learning that involves unsupervised and semi -supervised algorithms that enable the generation of new content and data. ... Financial scenario analysis. Advanced Analytics. Prescriptive Analytics & Recommendations. Analysts, Supervisors & Managers. Managers & Directors.
Financial Statement Analysis with Large Language Models
Financial Statement Analysis with Large Language Models Based on BFI Working Paper No. 2024-65, “Financial Statement Analysis with Large Language Models,” by Alex G. Kim, ... example, this research shows that generative AI is not merely a tool that can assist investors, but it can also play a more active role in helping consumers make ...
Large Language Models with Financial Analysis - GitHub Pages
1.an AI tool analyzing market news and optional financial data for a specific company. 2.Offers a stock price movement forecast for the upcoming week along with summarized analysis. 3.Fine-tuned on Llama-2-7b-chat-hfwith LoRAusing past year's DOW30 market data. 4.Demonstrates adaptability and generalization capabilities across various stock ...
Financial Statement Analysis with Large Language Models
AI-based approach to financial statement analysis. First, financial statement analysis is a complex and loosely defined task that involves ambiguity and requires common sense, intu-ition, and flexibility of the human mind. Second, it requires reasoning and …
Artificial intelligence and machine learning in financial services - FSB
Micro-financial analysis..... 24 4.1 Possible effects of AI and machine learning on financial markets ... sets using a variety of techniques including AI. 6. Analysis of such large and compli cated datasets is often called ‘big data analytics.’ A key feature of the complexity relevant in big data sets
Fundamental Analysis of Detailed Financial Data: A Machine …
companies must enclose quantitative amounts in financial statements and footnotes of their 10-K reports with XBRL tags (see Appendix A for two examples). As such, the XBRL-tagged data include all detailed financial information in financial reports (e.g., a …
Hot topic: Artificial Intelligence - KPMG
operational aspects of its business and/or its financial reporting processes, including internal controls. Examples of how entities may use AI in financial reporting processes include the following (click on the boxes below for more details). How AI may be used in financial reporting processes AI Technology/Capabilities/Analysis
Large Language Models in Finance: A Survey - arXiv.org
Applying AI in financial advisory and customer-related services is an emerging and rapidly growing field. AI-powered chatbots, as discussed in [32], already provide ... demonstrates the use of OpenAI’s GPT4 service for financial statement analysis. In addition to LLM services provided by tech companies, open-source LLMs can also be applied to ...
AI’s Role in Enhancing Trust in Financial Reporting and the ... - KPMG
72% of financial reporting leaders believe external auditors are ahead of financial reporting functions on using AI and expect AI to enhance audit quality. • Financial reporting leaders expect auditors to use AI to ask the right questions and challenge (48%) and conduct data analysis (46%). • Meanwhile, they expect GenAI to be used to also
An Introduction to AI in Financial Statement Audits - Rotman …
Phase 1: AI education • Understand the benefits AI brings to the analysis of financial data • Read about AI, visit AI focused conferences, attend webinars and workshops covering the topics of AI, machine learning and big data • Look for CPD credits beyond traditional audit courses
AI in financial reporting and audit: Navigating the new era - KPMG
a)No plans: Do not ha ve plans to use AI for financial reporting b)Planning: Considering ho w to use AI for financial reporting c)Piloting: Conducting AI pilots for financial reporting and evaluating results d)Selective adoption: Using AI across one of two areas of financial reporting e)Wide adoption: Using AI for a variety of areas of financial
THE RISE OF AI AND MACHINE LEARNING IN FINANCE AND …
Overall, the benefits of AI for finance teams and auditors are similar, it improves the effectiveness of processes and controls, executing them more efficiently and driving higher quality. AI tools and digital technology provide more timely analysis, help decision-making and greater oversight and control. At the same time, it reduces the risk ...
