Correlation Between Caterpillar and TrueShares Structured
Can any of the company-specific risk be diversified away by investing in both Caterpillar and TrueShares Structured 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 Caterpillar and TrueShares Structured into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Caterpillar and TrueShares Structured Outcome, you can compare the effects of market volatilities on Caterpillar and TrueShares Structured 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 Caterpillar with a short position of TrueShares Structured. Check out your portfolio center. Please also check ongoing floating volatility patterns of Caterpillar and TrueShares Structured.
Diversification Opportunities for Caterpillar and TrueShares Structured
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Caterpillar and TrueShares is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Caterpillar and TrueShares Structured Outcome in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TrueShares Structured and Caterpillar 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 Caterpillar are associated (or correlated) with TrueShares Structured. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TrueShares Structured has no effect on the direction of Caterpillar i.e., Caterpillar and TrueShares Structured go up and down completely randomly.
Pair Corralation between Caterpillar and TrueShares Structured
Considering the 90-day investment horizon Caterpillar is expected to generate 2.57 times more return on investment than TrueShares Structured. However, Caterpillar is 2.57 times more volatile than TrueShares Structured Outcome. It trades about 0.1 of its potential returns per unit of risk. TrueShares Structured Outcome is currently generating about 0.13 per unit of risk. If you would invest 32,883 in Caterpillar on September 1, 2024 and sell it today you would earn a total of 7,728 from holding Caterpillar or generate 23.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 99.21% |
| Values | Daily Returns |
Caterpillar vs. TrueShares Structured Outcome
Performance |
| Timeline |
| Caterpillar |
| TrueShares Structured |
Caterpillar and TrueShares Structured Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Caterpillar and TrueShares Structured
The main advantage of trading using opposite Caterpillar and TrueShares Structured positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Caterpillar position performs unexpectedly, TrueShares Structured 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 TrueShares Structured will offset losses from the drop in TrueShares Structured's long position.| Caterpillar vs. AGCO Corporation | Caterpillar vs. Nikola Corp | Caterpillar vs. PACCAR Inc | Caterpillar vs. Deere Company |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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