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- W2407233485 abstract "We introduce business and finance students to the use of the R statistical environment. Our study is linked to the educational goal of risk analysis for capital budgeting and long-term investments. There is a growing need for today’s business and finance students to be proficient in handling empirical data and employing econometric and new software methods for the purposes of communicating financial information. In our paper, students study risk estimation and learn how to download financial data, compare the cost of equity capital and risk attributes of companies through R, an open-source statistical software environment for data analysis and graphics. Empirical applications presented in this study include descriptive return statistics and the estimation of the Capital Asset Pricing Model (CAPM) model using the traditional Fama-MacBeth methodology. Using this technique,students can compare discount rates of different companies, thereby facilitating the analysis of profitability and capital budgeting for long-term investments." @default.
- W2407233485 created "2016-06-24" @default.
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- W2407233485 date "2015-01-01" @default.
- W2407233485 modified "2023-09-23" @default.
- W2407233485 title "The CAPM Regression and R" @default.
- W2407233485 hasPublicationYear "2015" @default.
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