Correlation Between Old Dominion and Mill City
Can any of the company-specific risk be diversified away by investing in both Old Dominion and Mill City 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 Old Dominion and Mill City into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old Dominion Freight and Mill City Ventures, you can compare the effects of market volatilities on Old Dominion and Mill City 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 Old Dominion with a short position of Mill City. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Dominion and Mill City.
Diversification Opportunities for Old Dominion and Mill City
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Old and Mill is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Old Dominion Freight and Mill City Ventures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mill City Ventures and Old Dominion 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 Old Dominion Freight are associated (or correlated) with Mill City. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mill City Ventures has no effect on the direction of Old Dominion i.e., Old Dominion and Mill City go up and down completely randomly.
Pair Corralation between Old Dominion and Mill City
Given the investment horizon of 90 days Old Dominion Freight is expected to generate 0.86 times more return on investment than Mill City. However, Old Dominion Freight is 1.16 times less risky than Mill City. It trades about 0.2 of its potential returns per unit of risk. Mill City Ventures is currently generating about -0.19 per unit of risk. If you would invest 20,088 in Old Dominion Freight on August 28, 2024 and sell it today you would earn a total of 2,423 from holding Old Dominion Freight or generate 12.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Old Dominion Freight vs. Mill City Ventures
Performance |
Timeline |
Old Dominion Freight |
Mill City Ventures |
Old Dominion and Mill City Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Old Dominion and Mill City
The main advantage of trading using opposite Old Dominion and Mill City positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Dominion position performs unexpectedly, Mill City 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 Mill City will offset losses from the drop in Mill City's long position.Old Dominion vs. ArcBest Corp | Old Dominion vs. Marten Transport | Old Dominion vs. Werner Enterprises | Old Dominion vs. Knight Transportation |
Mill City vs. Consumer Portfolio Services | Mill City vs. Atlanticus Holdings Corp | Mill City vs. Nelnet Inc | Mill City vs. Senmiao Technology |
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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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