Financial Analysis in Python

Finance

ISBN:

978-1-959142-18-8

Financial Analysis in Python

Jim Brau, PhD, CFA, CFP Andrew Holmes, PhD, CFA Ben Blau, PhD Mark Keith, PhD Stephen Owen, PhD

Finance and technology are now inseparable, and the industry needs professionals who can work with both data and code. This resource teaches students to do that, learning Python in a strategic way tailored to finance. Students start with core finance concepts: securities, financial markets, trading, returns, and the goal of the firm. They build Python skills from variables and flow control through DataFrames, then use them to analyze data with statistics and visualizations. From there they apply Python to the time value of money, debt and equity securities, risk and the CAPM, cost of capital, financial forecasting, and firm valuation, working through case studies along the way. Students finish ready to solve real finance problems with code.

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Chapter 1: Introduction to Financial Analysis in Python Chapter 2: Python: Variables and Flow Control Chapter 3: Python: I-P-O and Collections Chapter 4: Python: Iterations and Packages Chapter 5: Python: DataFrames Chapter 6: Univariate: Statistics and Visualization Chapter 7: Python Functions and The Time Value of Money Chapter 8: Debt Securities–Loans & Bonds Chapter 9: Equity Securities Chapter 10: Bivariate: Num/Num Stats and Viz Chapter 11: Bivariate: Cat/Num Stats and Viz Chapter 12: Multivariate: Numeric Chapter 13: Risk and the CAPM Chapter 14: Cost of Capital Chapter 15: Financial Forecasting Chapter 16: Firm Valuation

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