find out Microsoft’s alpha, beta, and the fraction of its variance attributed to market risk.
find out Microsoft’s alpha, beta, and the fraction of its variance attributed to market risk.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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find out Microsoft’s alpha, beta, and the fraction of its variance attributed to market risk.

Transcribed Image Text:### Financial Data Table
This table presents a set of financial data, possibly representing returns. The columns are labeled as follows:
- **r_f**: Represents the risk-free rate or return.
- **r_M**: Market return or the return of a market index.
- **R_M**: Excess market return. This could be the market return minus the risk-free rate. It is highlighted in red, indicating its significance.
- **r_IBM**: Return of IBM's stock.
- **R_IBM**: Excess return of IBM's stock. This could be IBM’s stock return minus the risk-free rate. It is highlighted in red.
- **r_MSFT**: Return of MSFT's stock.
- **R_MSFT**: Excess return of MSFT's stock. Similar to IBM, this is highlighted in red and could denote the MSFT stock return minus the risk-free rate.
### Observations
- Each column contains numerical values, presumably short-term returns, possibly daily or weekly.
- The data presents positive and negative values, reflecting returns that fluctuate over time.
- The highlighted columns (R_M, R_IBM, R_MSFT) might be used to assess how individual stocks and the market as a whole perform above or below the risk-free rate.
### Purpose
This table can be used for educational purposes to:
- Understand the calculation of excess returns.
- Analyze and interpret financial returns data.
- Compare between market, individual stocks, and excess returns to assess performance.
### Applications
- Suitable for finance-related courses focusing on investment and risk assessment.
- Useful in quantitative analysis of financial markets.
- Can serve as a reference for case studies on stock performance and risk measurement.
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