FI 414 Lecture Notes - Lecture 6: Expected Return, Walmart, Square Root

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27 Feb 2018
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6. 1 diversification and portfolio risk: market, systematic and non-diversifiable risk are factors common to the whole economy. Covariance and correlation: covariance - measures how much 2 stocks move together. If stocks have high covariance, they are similar and move together (like target and wal-mart) Of stock*st. dev of bond: lower correlation reduces risk, but doesn"t affect return, this is why we want to diverse with a variety of different assets from different industries. Because they are not closely related (they have a low correlation: covariance, sum of scenario weight*(stock expected return-total expected return)*(bond expected return-total expected return) = -74. 8: to find what -74. 8 really means, we find correlation, correlation, correlation/(st. dev. Of stock*st. dev of bond: on the scale of -1 to 1, -4. 9 is low, and this shows the assets are not closely. Example: variance for 2 risky assets: (stock weight)*(stock standard deviation)^2 + (bond weight)*(bond standard deviation)^2 + 2(stock weight*stock standard deviation)(bond weight*bond standard deviation)* correlation, square root for standard deviation.

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