Correlation Between Thrivent Natural and Hennessy
Can any of the company-specific risk be diversified away by investing in both Thrivent Natural and Hennessy 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 Thrivent Natural and Hennessy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Thrivent Natural Resources and Hennessy Bp Energy, you can compare the effects of market volatilities on Thrivent Natural and Hennessy 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 Thrivent Natural with a short position of Hennessy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thrivent Natural and Hennessy.
Diversification Opportunities for Thrivent Natural and Hennessy
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Thrivent and Hennessy is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Thrivent Natural Resources and Hennessy Bp Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hennessy Bp Energy and Thrivent Natural 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 Thrivent Natural Resources are associated (or correlated) with Hennessy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hennessy Bp Energy has no effect on the direction of Thrivent Natural i.e., Thrivent Natural and Hennessy go up and down completely randomly.
Pair Corralation between Thrivent Natural and Hennessy
Assuming the 90 days horizon Thrivent Natural is expected to generate 5.19 times less return on investment than Hennessy. But when comparing it to its historical volatility, Thrivent Natural Resources is 10.28 times less risky than Hennessy. It trades about 0.19 of its potential returns per unit of risk. Hennessy Bp Energy is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 2,670 in Hennessy Bp Energy on December 30, 2024 and sell it today you would earn a total of 176.00 from holding Hennessy Bp Energy or generate 6.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Thrivent Natural Resources vs. Hennessy Bp Energy
Performance |
Timeline |
Thrivent Natural Res |
Hennessy Bp Energy |
Thrivent Natural and Hennessy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Thrivent Natural and Hennessy
The main advantage of trading using opposite Thrivent Natural and Hennessy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thrivent Natural position performs unexpectedly, Hennessy 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 Hennessy will offset losses from the drop in Hennessy's long position.Thrivent Natural vs. Cref Inflation Linked Bond | Thrivent Natural vs. Ab Bond Inflation | Thrivent Natural vs. Ab Bond Inflation | Thrivent Natural vs. Simt Multi Asset Inflation |
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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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