Externally indexed torrent

If you are the original uploader, contact staff to have it moved to your account

Textbook in PDF format

The four previous editions of Financial Modeling have established this book as a “must have” for finance academics and professionals. Its straightforward, hands-on approach, mixing explanation and implementation using Excel and R, has fulfilled a need in both academic and practitioner markets for readers who realize that the implementation of the finance basics typically studied in an introductory course requires another, more heavily computational and implementational approach. Excel, the most widely used computational tool in finance, is a natural vehicle for deepening our understanding of the materials, while R and Python are the programming languages most commonly used by academics and practitioners.
We are proud of the success of the previous editions of Financial Modeling, and we have done our best to update and improve the fifth edition, making it (or hoping to make it) even better. Users of previous editions of this book will find the fifth edition similar in style while better addressing the needs and tools required today because of advances in financial analysis.
Since Excel is considered the best way to understand implementation of financial theory, we address the limitations of Excel (mainly scalability and efficiency with big data) with two approaches: the first one is with Visual Basic for Applications (VBA) code, which can be implemented in Excel (VBA is Excel’s programming language), and the second one is with R. All data-intensive chapters now show an implementation in R, and on the auxiliary website accompanying this book you will find Python implementations of the materials.
In addition, we have updated all examples in the book with current data to make them more relevant. Advancements in finance are also included, such as second-order and third-order Greeks for options and Monte Carlo methods.
Financial Modeling consists of seven sections. Each of the first five sections of the book presents a specific area of finance. These sections are independent of each other, though the reader should realize that they all assume some familiarity with the finance area. Financial Modeling is not an introductory text.
Section I (Chapters 1–6) deals with corporate finance topics. Section II (Chapters 7–9) covers bond and yield curve models. Section III (Chapters 10–15) is about portfolio theory. Section IV (Chapters 16–20) addresses options and derivatives topics, and Section V (Chapters 21–27) presents Monte Carlo methods and their implementation in finance.
The last two sections of Financial Modeling are technical in nature. Section VI (Chapters 28–33) relates to various Excel and R topics that are used throughout the book. Chapters in this section can be read and accessed as necessary. Section VII (Chapters 34–37) was written by Benjamin Czaczkes and deals with VBA. To make the book more streamlined, this section can be found on the auxiliary website accompanying this book. The book is structured such that the reader can understand the materials in all of the other chapters of Financial Modeling without needing the VBA or R chapters