Correlation Between Standard and Miller Industries
Can any of the company-specific risk be diversified away by investing in both Standard and Miller Industries at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Standard and Miller Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Standard Motor Products and Miller Industries, you can compare the effects of market volatilities on Standard and Miller Industries and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Standard with a short position of Miller Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Standard and Miller Industries.
Diversification Opportunities for Standard and Miller Industries
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Standard and Miller is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Standard Motor Products and Miller Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Miller Industries and Standard is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Standard Motor Products are associated (or correlated) with Miller Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Miller Industries has no effect on the direction of Standard i.e., Standard and Miller Industries go up and down completely randomly.
Pair Corralation between Standard and Miller Industries
Considering the 90-day investment horizon Standard Motor Products is expected to generate 0.87 times more return on investment than Miller Industries. However, Standard Motor Products is 1.15 times less risky than Miller Industries. It trades about -0.09 of its potential returns per unit of risk. Miller Industries is currently generating about -0.24 per unit of risk. If you would invest 3,255 in Standard Motor Products on November 28, 2024 and sell it today you would lose (246.50) from holding Standard Motor Products or give up 7.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Standard Motor Products vs. Miller Industries
Performance |
Timeline |
Standard Motor Products |
Miller Industries |
Standard and Miller Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Standard and Miller Industries
The main advantage of trading using opposite Standard and Miller Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Standard position performs unexpectedly, Miller Industries can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Miller Industries will offset losses from the drop in Miller Industries' long position.Standard vs. Dorman Products | Standard vs. Motorcar Parts of | Standard vs. Douglas Dynamics | Standard vs. Stoneridge |
Miller Industries vs. Dorman Products | Miller Industries vs. Standard Motor Products | Miller Industries vs. Motorcar Parts of | Miller Industries vs. Douglas Dynamics |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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