Essentials Of Excel Vba Python And R

Author : John Lee
Publisher : Springer
ISBN 13 : 9783031528866
Total Pages : 0 pages
Book Rating : 4.67/5 ( download)

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Download or read book Essentials of Excel VBA, Python, and R written by John Lee and published by Springer. This book was released on 2023-12-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry. This second volume is designed for advanced courses in financial derivatives, risk management, and machine learning and financial management. In this volume we extensively use Excel, Python, and R to analyze the above-mentioned topics. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the first volume for dedicated content on financial statistics, and portfolio analysis.

Author : John Lee
Publisher : Springer Nature
ISBN 13 : 3031142837
Total Pages : 521 pages
Book Rating : 4.33/5 ( download)

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Download or read book Essentials of Excel VBA, Python, and R written by John Lee and published by Springer Nature. This book was released on 2023-03-23 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry. This second volume is designed for advanced courses in financial derivatives, risk management, and machine learning and financial management. In this volume we extensively use Excel, Python, and R to analyze the above-mentioned topics. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the first volume for dedicated content on financial statistics, and portfolio analysis.

Author : John Lee
Publisher : Springer Nature
ISBN 13 : 3031142365
Total Pages : 698 pages
Book Rating : 4.69/5 ( download)

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Download or read book Essentials of Excel VBA, Python, and R written by John Lee and published by Springer Nature. This book was released on 2023-01-02 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry. This first volume is designed for advanced courses in financial statistics, investment analysis and portfolio management. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the second volume for dedicated content on financial derivatives, risk management, and machine learning.

Author : Cheng Few Lee
Publisher : World Scientific
ISBN 13 : 9811280282
Total Pages : 1001 pages
Book Rating : 4.83/5 ( download)

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Download or read book Intermediate Futures And Options: An Active Learning Approach written by Cheng Few Lee and published by World Scientific. This book was released on 2023-10-16 with total page 1001 pages. Available in PDF, EPUB and Kindle. Book excerpt: Futures and Options are concerned with the valuation of derivatives and their application to hedging and speculating investments. This book contains 22 chapters and is divided into five parts. Part I contains an overview including a general introduction as well as an introduction to futures, options, swaps, and valuation theories. Part II: Forwards and Futures discusses futures valuation, the futures market, hedging strategies, and various types of futures. Part III: Option Theories and Applications includes both the basic and advanced valuation of options and option strategies in addition to index and currency options. Part IV: Advanced Analyses of Options takes a look at higher level strategies used to quantitatively approach the analysis of options. Part V: Special Topics of Options and Futures covers the applications of more obscure and alternative methods in derivatives as well as the derivation of the Black-Scholes Option Pricing Model.This book applies an active interdisciplinary approach to presenting the material; in other words, three projects involving the use of real-world financial data on derivative, in addition to homework assignments, are made available for students in this book.

Author : Steven Sanderson
Publisher : Packt Publishing Ltd
ISBN 13 : 1804615544
Total Pages : 345 pages
Book Rating : 4.46/5 ( download)

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Download or read book Extending Excel with Python and R written by Steven Sanderson and published by Packt Publishing Ltd. This book was released on 2024-04-30 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seamlessly integrate the Python and R programming languages with spreadsheet-based data analysis to maximize productivity Key Features Perform advanced data analysis and visualization techniques with R and Python on Excel data Use exploratory data analysis and pivot table analysis for deeper insights into your data Integrate R and Python code directly into Excel using VBA or API endpoints Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionFor businesses, data analysis and visualization are crucial for informed decision-making; however, Excel’s limitations can make these tasks time-consuming and challenging. Extending Excel with Python and R is a game changer resource written by experts Steven Sanderson, the author of the healthyverse suite of R packages, and David Kun, co-founder of Functional Analytics, the company behind the ownR platform engineering solution for R, Python, and other data science languages. This comprehensive guide transforms the way you work with spreadsheet-based data by integrating Python and R with Excel to automate tasks, execute statistical analysis, and create powerful visualizations. Working through the chapters, you’ll find out how to perform exploratory data analysis, time series analysis, and even integrate APIs for maximum efficiency. Whether you're a beginner or an expert, this book has everything you need to unlock Excel's full potential and take your data analysis skills to the next level. By the end of this book, you’ll be able to import data from Excel, manipulate it in R or Python, and perform the data analysis tasks in your preferred framework while pushing the results back to Excel for sharing with others as needed.What you will learn Read and write Excel files with R and Python libraries Automate Excel tasks with R and Python scripts Use R and Python to execute Excel VBA macros Format Excel sheets using R and Python packages Create graphs with ggplot2 and Matplotlib in Excel Analyze Excel data with statistical methods and time series analysis Explore various methods to call R and Python functions from Excel Who this book is for If you’re a data analyst or data scientist, or a quants, actuaries, or data practitioner looking to enhance your Excel skills and expand your data analysis capabilities with R and Python, this book is for you. It provides a comprehensive introduction to the topics covered, making it suitable for both beginners and intermediate learners. A basic understanding of Excel, Python, and R is all you need to get started.

Author : Cheng Few Lee
Publisher : World Scientific
ISBN 13 : 9811239053
Total Pages : 1367 pages
Book Rating : 4.52/5 ( download)

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Download or read book Corporate Finance And Strategy: An Active Learning Approach written by Cheng Few Lee and published by World Scientific. This book was released on 2022-06-02 with total page 1367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corporate finance is concerned with how to make capital investment decisions (capital budgeting); how to finance company activities, including new investments; and how to make dividend payment decisions. This book will lecture on important topics for corporate finance, which will cover methods, theory, and policy decisions. The topics which will be addressed in this book include how streams of cash flows are valued, how financial managers evaluate investment opportunities, how financial statements are used to evaluate a company's financial condition and its market value, how a manager chooses between mutually exclusive opportunities, and how they evaluate different types of investment. This book will also discuss the treatment of risk when evaluating a project and the required returns on a project. Alternative sources of funds used to finance new projects, which include internal and external sources of funds, will be theoretically and empirically demonstrated. Lastly, long-term financial planning will be discussed.

Author : Michael Alexander
Publisher : John Wiley & Sons
ISBN 13 : 1119514770
Total Pages : 1120 pages
Book Rating : 4.70/5 ( download)

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Download or read book Excel 2019 Bible written by Michael Alexander and published by John Wiley & Sons. This book was released on 2018-09-20 with total page 1120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The complete guide to Excel 2019 Whether you are just starting out or an Excel novice, the Excel 2019 Bible is your comprehensive, go-to guide for all your Excel 2019 needs. Whether you use Excel at work or at home, you will be guided through the powerful new features and capabilities to take full advantage of what the updated version offers. Learn to incorporate templates, implement formulas, create pivot tables, analyze data, and much more. Navigate this powerful tool for business, home management, technical work, and much more with the only resource you need, Excel 2019 Bible. Create functional spreadsheets that work Master formulas, formatting, pivot tables, and more Get acquainted with Excel 2019's new features and tools Whether you need a walkthrough tutorial or an easy-to-navigate desk reference, the Excel 2019 Bible has you covered with complete coverage and clear expert guidance.

Author : Felix Zumstein
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492080950
Total Pages : 366 pages
Book Rating : 4.54/5 ( download)

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Download or read book Python for Excel written by Felix Zumstein and published by "O'Reilly Media, Inc.". This book was released on 2021-03-04 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started. Use Python without extensive programming knowledge Get started with modern tools, including Jupyter notebooks and Visual Studio code Use pandas to acquire, clean, and analyze data and replace typical Excel calculations Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports Use xlwings to build interactive Excel tools that use Python as a calculation engine Connect Excel to databases and CSV files and fetch data from the internet using Python code Use Python as a single tool to replace VBA, Power Query, and Power Pivot

Author : Liaw HockSang
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781542736350
Total Pages : 106 pages
Book Rating : 4.58/5 ( download)

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Download or read book Learn Excel(r) VBA in 24 Hours written by Liaw HockSang and published by Createspace Independent Publishing Platform. This book was released on 2016-09-13 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual Basic for Applications (VBA) is the programming language built into Microsoft Office applications (such as Microsoft Excel, Microsoft Word, Microsoft Access, and Microsoft Outlook) to automate various tasks in their own environment and to work with other applications. This book focuses on VBA in Microsoft Excel for Windows. The discussions in the book are applicable to Excel 2007, Excel 2010, Excel 2013, and Excel 2016, unless otherwise stated. It starts with Chapter 1, which is to get you familiarize with some essential tools that help you to write your VBA programs. Chapter 2 covers the places where you should store your VBA code. Chapter 3 is the fundamentals of programming in VBA. It provides you a quick reference in writing syntax error-free VBA code, in debugging, and in handling errors. Chapter 4 offers some other tips on VBA programming. This book is for readers who are new to Excel VBA, but should have a basic understanding of programming language, such as C or Python. The reader should be an average Excel user who knows, for example, what an array formula is. If you are new to Excel, please teach yourself Excel before exploring the chapters. You may refer to another book written by me entitled Learn Microsoft(R) Excel(R) 2010-2016 for Windows(R) in 24 Hours - A jumpstart to be an intermediate user, which was written for those who are new to Excel. This book does not serve as a comprehensive reference for intermediate users. Nevertheless, it is a jumpstart for beginners to learn Excel VBA. It is also served as a foundation for my future books and other references that are beyond the reach of beginners. I hope this book will shorten your time to teach yourself Excel VBA and serve as a quick reference in writing error-free and working VBA programs in realizing your goal. Let Excel VBA work for you. A supplementary Excel file to share The author would like to share a supplementary Excel file. It contains almost all the code listings and code statements stated in this book. Sub procedures are ready to be executed either by clicking buttons on worksheets or by accessing the Marco dialog box. Functions are ready to be tested in worksheet formulas. The file definitely facilitates you to master the content of the book. Please download the file from https: //drive.google.com/file/d/0ByKhn-UYAjlQTm1kdVJFWTh0cTQ/view or https: //www.amazon.com/Liaw-HockSang/e/B01LX701LY.

Author : Simon Benninga
Publisher : MIT Press
ISBN 13 : 0262046423
Total Pages : 1049 pages
Book Rating : 4.28/5 ( download)

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Download or read book Financial Modeling, fifth edition written by Simon Benninga and published by MIT Press. This book was released on 2022-02-01 with total page 1049 pages. Available in PDF, EPUB and Kindle. Book excerpt: A substantially updated new edition of the essential text on financial modeling, with revised material, new data, and implementations shown in Excel, R, and Python. Financial Modeling has become the gold-standard text in its field, an essential guide for students, researchers, and practitioners that provides the computational tools needed for modeling finance fundamentals. This fifth edition has been substantially updated but maintains the straightforward, hands-on approach, with an optimal mix of explanation and implementation, that made the previous editions so popular. Using detailed Excel spreadsheets, it explains basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds. This new edition offers revised material on valuation, second-order and third-order Greeks for options, value at risk (VaR), Monte Carlo methods, and implementation in R. The examples and implementation use up-to-date and relevant data. Parts I to V cover corporate finance topics, bond and yield curve models, portfolio theory, options and derivatives, and Monte Carlo methods and their implementation in finance. Parts VI and VII treat technical topics, with part VI covering Excel and R issues and part VII (now on the book’s auxiliary website) covering Excel’s programming language, Visual Basic for Applications (VBA), and Python implementations. Knowledge of technical chapters on VBA and R is not necessary for understanding the material in the first five parts. The book is suitable for use in advanced finance classes that emphasize the need to combine modeling skills with a deeper knowledge of the underlying financial models.