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Valuation is part art and part science. While there are wrong ways to value a stock, there may be no single correct way to value a stock. Applied Valuation: A Pragmatic Approach helps to bridge theory and how valuations can be implemented in practice. It offers pragmatic solutions that are in line with valuation principles, and explains the implications of certain approaches and rules of thumb that are commonly used in practice, so the reader understands why or when such methods make sense. Valuation is a highly case-specific exercise and slight changes in the conditions at the time of the valuation could change the approach and inputs that an analyst should be using. This book discusses how to develop the intuition and skills that would allow you to determine the appropriate or reasonable approach to take regardless of what situation may arise in the future. Also including in-depth case studies of Walmart and Tesla, this book examines concepts like projections, discount rates, terminal value, and relative valuation to equip students, practitioners, and the general reader with a better understanding of the methods that will help them build their own framework to value businesses and analyze valuation issues.
This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement the models, and generate typical output expected for a particular analysis.This text aims to overcome several common obstacles in teaching financial modeling. First, most texts do not provide students with enough information to allow them to implement models from start to finish. In this book, we walk through each step in relatively more detail and show intermediate R output to help students make sure they are implementing the analyses correctly. Second, most books deal with sanitized or clean data that have been organized to suit a particular analysis. Consequently, many students do not know how to deal with real-world data or know how to apply simple data manipulation techniques to get the real-world data into a usable form. This book will expose students to the notion of data checking and make them aware of problems that exist when using real-world data. Third, most classes or texts use expensive commercial software or toolboxes. In this text, we use R to analyze financial data and implement models. R and the accompanying packages used in the text are freely available; therefore, any code or models we implement do not require any additional expenditure on the part of the student.Demonstrating rigorous techniques applied to real-world data, this text covers a wide spectrum of timely and practical issues in financial modeling, including return and risk measurement, portfolio management, options pricing, and fixed income analysis.
This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models.
This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models.
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