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Author: Sajimon Abraham & Sudhakaran K.V Publisher: Lulu.com ISBN: 1387945408 Category : Business & Economics Languages : en Pages : 218
Book Description
Tally is powerful financial accounting software, which is driven by a technology called concurrent multi-lingual accelerated technology engine. It is easy to use software and is designed to manage day to day financial activities associated in an enterprise. It provides comprehensive solution around accounting principles, inventory and data integrity and also has feature encompassing global business. Tally software comes with easy to use interface thus making it operationally simple and provides a solution around inventory management, stock management, invoicing, purchase order management, discounting, stock valuation methodology, etc. Tally accounting software also comes with drill down options, which can track every detail of transaction that helps in maintaining simple classification of accounts, general ledger, accounts receivable, payable and bank reconciliation, etc.
Author: Sajimon Abraham & Sudhakaran K.V Publisher: Lulu.com ISBN: 1387945408 Category : Business & Economics Languages : en Pages : 218
Book Description
Tally is powerful financial accounting software, which is driven by a technology called concurrent multi-lingual accelerated technology engine. It is easy to use software and is designed to manage day to day financial activities associated in an enterprise. It provides comprehensive solution around accounting principles, inventory and data integrity and also has feature encompassing global business. Tally software comes with easy to use interface thus making it operationally simple and provides a solution around inventory management, stock management, invoicing, purchase order management, discounting, stock valuation methodology, etc. Tally accounting software also comes with drill down options, which can track every detail of transaction that helps in maintaining simple classification of accounts, general ledger, accounts receivable, payable and bank reconciliation, etc.
Author: Danielle Stein Fairhurst Publisher: John Wiley & Sons ISBN: 111952038X Category : Business & Economics Languages : en Pages : 438
Book Description
A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business problems using financial models, including downloadable Excel templates, a list of shortcuts and tons of practical tips and techniques you can apply straight away. Whilst there are many hundreds of tools, features and functions in Excel, this book focuses on the topics most relevant to finance professionals. It covers these features in detail from a practical perspective, but also puts them in context by applying them to practical examples in the real world. Learn to create financial models to help make business decisions whilst applying modelling best practice methodology, tools and techniques. • Provides the perfect mix of practice and theory • Helps you become a DIY Excel modelling specialist • Includes updates for Excel 2019/365 and Excel for Mac • May be used as an accompaniment to the author’s online and face-to-face training courses Many people are often overwhelmed by the hundreds of tools in Excel, and this book gives clarity to the ones you need to know in order to perform your job more efficiently. This book also demystifies the technical, design, logic and financial skills you need for business and financial modelling.
Author: Danielle Stein Fairhurst Publisher: John Wiley & Sons ISBN: 1118132874 Category : Business & Economics Languages : en Pages : 352
Book Description
A clear, concise, and easy-to-use guide to financial modelling suitable for practitioners at every level Using a fundamental approach to financial modelling that's accessible to both new and experienced professionals, Using Excel for Business Analysis: A Guide to Financial Modelling Fundamentals + Website offers practical guidance for anyone looking to build financial models for business proposals, to evaluate opportunities, or to craft financial reports. Comprehensive in nature, the book covers the principles and best practices of financial modelling, including the Excel tools, formulas, and functions to master, and the techniques and strategies necessary to eliminate errors. As well as explaining the essentials of financial modelling, Using Excel for Business Analysis is packed with exercises and case studies to help you practice and test your comprehension, and includes additional resources online. Provides comprehensive coverage of the principles and best practices of financial modeling, including planning, how to structure a model, layout, the anatomy of a good model, rebuilding an inherited model, and much more Demonstrates the technical Excel tools and techniques needed to build a good model successfully Outlines the skills you need to learn in order to be a good financial modeller, such as technical, design, and business and industry knowledge Illustrates successful best practice modeling techniques such as linking, formula consistency, formatting, and labeling Describes strategies for reducing errors and how to build error checks and other methods to ensure accurate and robust models A practical guide for professionals, including those who do not come from a financial background, Using Excel for Business Analysis is a fundamentals-rich approach to financial modeling.
Author: Alastair Day Publisher: Pearson UK ISBN: 1292067535 Category : Business & Economics Languages : en Pages : 428
Book Description
Fully updated and compliant with Excel 2013, this clearly explains the basic calculations for mathematical finance, backed up with simple templates for further use and development, and a workbook with exercises and solutions at the end of each chapter. The examples used are relevant to both managers and students in the UK and overseas. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Author: Shmuel Oluwa Publisher: Packt Publishing Ltd ISBN: 1789531632 Category : Computers Languages : en Pages : 280
Book Description
Explore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips Key FeaturesA non data professionals guide to exploring Excel's financial functions and pivot tablesLearn to prepare various models for income and cash flow statements, and balance sheetsLearn to perform valuations and identify growth drivers with real-world case studiesBook Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 examines various definitions and relates them to the key features of financial modeling with the help of Excel. This book will help you understand financial modeling concepts using Excel, and provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components of Excel for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing, along with best practices and practical use cases. By the end of this book, you will have examined the data from various use cases, and you will have the skills you need to build financial models to extract the information required to make informed business decisions. What you will learnIdentify the growth drivers derived from processing historical data in ExcelUse discounted cash flow (DCF) for efficient investment analysisBuild a financial model by projecting balance sheets, profit, and lossApply a Monte Carlo simulation to derive key assumptions for your financial modelPrepare detailed asset and debt schedule models in ExcelDiscover the latest and advanced features of Excel 2019Calculate profitability ratios using various profit parametersWho this book is for This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. This book will also help individuals that have and don't have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel.
Author: Danielle Stein Fairhurst Publisher: Wiley ISBN: 9781118132845 Category : Business & Economics Languages : en Pages : 320
Book Description
A clear, concise, and easy-to-use guide to financial modelling suitable for practitioners at every level Using a fundamental approach to financial modelling that's accessible to both new and experienced professionals, Using Excel for Business Analysis: A Guide to Financial Modelling Fundamentals + Website offers practical guidance for anyone looking to build financial models for business proposals, to evaluate opportunities, or to craft financial reports. Comprehensive in nature, the book covers the principles and best practices of financial modelling, including the Excel tools, formulas, and functions to master, and the techniques and strategies necessary to eliminate errors. As well as explaining the essentials of financial modelling, Using Excel for Business Analysis is packed with exercises and case studies to help you practice and test your comprehension, and includes additional resources online. Provides comprehensive coverage of the principles and best practices of financial modeling, including planning, how to structure a model, layout, the anatomy of a good model, rebuilding an inherited model, and much more Demonstrates the technical Excel tools and techniques needed to build a good model successfully Outlines the skills you need to learn in order to be a good financial modeller, such as technical, design, and business and industry knowledge Illustrates successful best practice modeling techniques such as linking, formula consistency, formatting, and labeling Describes strategies for reducing errors and how to build error checks and other methods to ensure accurate and robust models A practical guide for professionals, including those who do not come from a financial background, Using Excel for Business Analysis is a fundamentals-rich approach to financial modeling.
Author: K. Scott Proctor Publisher: John Wiley & Sons ISBN: 0471693200 Category : Business & Economics Languages : en Pages : 370
Book Description
A comprehensive guide to building financial models Building Financial Models with Microsoft Excel + CD-ROM provides beginning or intermediate level computer users with step-by-step instructions on building financial models using Microsoft Excel-the most popular spreadsheet program available. The accompanying CD-ROM contains Excel worksheets that track the course of the book and allow readers to build their own financial models. This comprehensive resource also covers important topics such as the concept of valuation, the concept of sensitivity analysis, the concepts of contribution margin and financial ratios and the basics of building and using a Capitalization Table. K. Scott Proctor, CFA, is the Director of Investor Analytics at SNL Financial, a financial information provider.
Author: Justin Pauley Publisher: "O'Reilly Media, Inc." ISBN: 1491973226 Category : Business & Economics Languages : en Pages : 317
Book Description
Investors recognize that technology is a powerful tool for obtaining and interpreting financial data that could give them the one thing everyone on Wall Street wants: an edge. Yet, many don’t realize that you don’t need to be a programmer to access behind-the-scenes financial information from Bloomberg, IHS Markit, or other systems found at most banks and investment firms. This practical guide teaches analysts a useful subset of Excel skills that will enable them to access and interpret financial information—without any prior programming experience. This book will show analysts, step-by-step, how to quickly produce professional reports that combine their views with Bloomberg or Markit data including historical financials, comparative analysis, and relative value. For portfolio managers, this book demonstrates how to create professional summary reports that contain a high-level view of a portfolio’s performance, growth, risk-adjusted return, and composition. If you are a programmer, this book also contains a parallel path that covers the same topics using C#. Topics include: Access additional data that isn’t visible on Bloomberg screens Create tables containing corporate data that makes it possible to compare multiple companies, bonds, or loans side-by- side Build one-page analytic (“Tear Sheet”) reports for individual companies that incorporates important financials, custom notes, relative value comparison of the company to its peers, and price trends with research analyst targets Build two-page portfolio summary report that contains a high-level view of the portfolio’s performance, growth, risk-adjusted return, and composition Explore daily prices and facility information for most of the tradable corporate bond and loan market Determine the relationship between two securities (or index) using correlation and regression Compare each security’s performance to a cohort made of up of securities with similar risk and return characteristics Measure portfolio risk-adjusted return by calculating variance, standard deviation, and Sharpe ratio Use Markit data to identify meaningful trends in prices, new issue spreads, and refinancings
Author: Michael Rees Publisher: John Wiley & Sons ISBN: 1394157800 Category : Business & Economics Languages : en Pages : 342
Book Description
A concise and practical guide to financial modeling in Excel In The Essentials of Financial Modeling in Excel: A Concise Guide to Concepts and Methods, veteran quantitative modeling and business analysis expert Dr. Michael Rees delivers a practical and hands-on introduction to financial modeling in Excel. The author offers readers a well-structured and strategic toolkit to learn modeling from scratch, focusing on the core economic concepts and the structures commonly required within Excel models. Divided into six parts, the book discusses the use of models and the factors to consider when designing and building models so that they can be as powerful as possible, yet simple. . Readers will also find: The foundational structures and calculations most frequently used in modeling, including growth- and ratio-based methods, corkscrews, and waterfall analysis Walkthroughs of economic modeling, measurement, and evaluation, and the linking of these to the decision criteria. These include breakeven and payback analysis, compounding, discounting, calculation of returns, loan calculations, and others Structured approaches for modeling in corporate finance, including financial statement modeling, cash flow valuation, cost of capital, and ratio analysis Techniques to implement sensitivity and scenario analysis Core aspects of statistical analysis, including data preparation, manipulation, and integration The use of approximately 100 Excel functions within example modeling contexts Further Topics Sections, which introduce advanced aspects of many areas, in order to provide further benefit to more advance readers, whilst presenting the truly essential topics separately. Examples of these include introductions to PowerQuery and PowerPivot, as well as advanced waterfall structures An invaluable, all-in-one blueprint for learning financial modeling in Excel, this book is ideal for beginning and intermediate financial professionals and students seeking to build and reinforce essential topics in financial modeling.
Author: Sajimon Abraham & Sudhakaran K.V
Author: Sajimon Abraham & Sudhakaran K.V
Author: Danielle Stein Fairhurst
Author: Danielle Stein Fairhurst
Author: Alastair Day
Author: Alastair Day
Author: Shmuel Oluwa
Author: Danielle Stein Fairhurst
Author: K. Scott Proctor
Author: Justin Pauley
Author: Michael Rees