Correlation Between Miller Industries and Trinity Industries
Can any of the company-specific risk be diversified away by investing in both Miller Industries and Trinity 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 Miller Industries and Trinity Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Miller Industries and Trinity Industries, you can compare the effects of market volatilities on Miller Industries and Trinity 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 Miller Industries with a short position of Trinity Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Miller Industries and Trinity Industries.
Diversification Opportunities for Miller Industries and Trinity Industries
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Miller and Trinity is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Miller Industries and Trinity Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Trinity Industries and Miller Industries 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 Miller Industries are associated (or correlated) with Trinity Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Trinity Industries has no effect on the direction of Miller Industries i.e., Miller Industries and Trinity Industries go up and down completely randomly.
Pair Corralation between Miller Industries and Trinity Industries
Considering the 90-day investment horizon Miller Industries is expected to generate 1.05 times more return on investment than Trinity Industries. However, Miller Industries is 1.05 times more volatile than Trinity Industries. It trades about 0.12 of its potential returns per unit of risk. Trinity Industries is currently generating about 0.11 per unit of risk. If you would invest 4,454 in Miller Industries on August 27, 2024 and sell it today you would earn a total of 2,739 from holding Miller Industries or generate 61.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Miller Industries vs. Trinity Industries
Performance |
Timeline |
Miller Industries |
Trinity Industries |
Miller Industries and Trinity Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Miller Industries and Trinity Industries
The main advantage of trading using opposite Miller Industries and Trinity Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Miller Industries position performs unexpectedly, Trinity 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 Trinity Industries will offset losses from the drop in Trinity Industries' long position.Miller Industries vs. Dorman Products | Miller Industries vs. Standard Motor Products | Miller Industries vs. Motorcar Parts of | Miller Industries vs. Douglas Dynamics |
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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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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