Correlation Between Komatsu and Textainer Group
Can any of the company-specific risk be diversified away by investing in both Komatsu and Textainer Group 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 Komatsu and Textainer Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Komatsu and Textainer Group Holdings, you can compare the effects of market volatilities on Komatsu and Textainer Group 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 Komatsu with a short position of Textainer Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Komatsu and Textainer Group.
Diversification Opportunities for Komatsu and Textainer Group
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Komatsu and Textainer is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Komatsu and Textainer Group Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Textainer Group Holdings and Komatsu 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 Komatsu are associated (or correlated) with Textainer Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Textainer Group Holdings has no effect on the direction of Komatsu i.e., Komatsu and Textainer Group go up and down completely randomly.
Pair Corralation between Komatsu and Textainer Group
Assuming the 90 days horizon Komatsu is expected to generate 2.28 times less return on investment than Textainer Group. But when comparing it to its historical volatility, Komatsu is 2.86 times less risky than Textainer Group. It trades about 0.07 of its potential returns per unit of risk. Textainer Group Holdings is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 70.00 in Textainer Group Holdings on September 17, 2024 and sell it today you would earn a total of 7.00 from holding Textainer Group Holdings or generate 10.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Komatsu vs. Textainer Group Holdings
Performance |
Timeline |
Komatsu |
Textainer Group Holdings |
Komatsu and Textainer Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Komatsu and Textainer Group
The main advantage of trading using opposite Komatsu and Textainer Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Komatsu position performs unexpectedly, Textainer Group 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 Textainer Group will offset losses from the drop in Textainer Group's long position.Komatsu vs. HUMANA INC | Komatsu vs. Barloworld Ltd ADR | Komatsu vs. Morningstar Unconstrained Allocation | Komatsu vs. Thrivent High Yield |
Textainer Group vs. Komatsu | Textainer Group vs. Alamo Group | Textainer Group vs. Komatsu | Textainer Group vs. Caterpillar |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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