Correlation Between BTU Metals and Goosehead Insurance
Can any of the company-specific risk be diversified away by investing in both BTU Metals and Goosehead Insurance 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 BTU Metals and Goosehead Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BTU Metals Corp and Goosehead Insurance, you can compare the effects of market volatilities on BTU Metals and Goosehead Insurance 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 BTU Metals with a short position of Goosehead Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of BTU Metals and Goosehead Insurance.
Diversification Opportunities for BTU Metals and Goosehead Insurance
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between BTU and Goosehead is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding BTU Metals Corp and Goosehead Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goosehead Insurance and BTU Metals 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 BTU Metals Corp are associated (or correlated) with Goosehead Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goosehead Insurance has no effect on the direction of BTU Metals i.e., BTU Metals and Goosehead Insurance go up and down completely randomly.
Pair Corralation between BTU Metals and Goosehead Insurance
Assuming the 90 days horizon BTU Metals Corp is expected to generate 0.96 times more return on investment than Goosehead Insurance. However, BTU Metals Corp is 1.04 times less risky than Goosehead Insurance. It trades about 0.23 of its potential returns per unit of risk. Goosehead Insurance is currently generating about 0.12 per unit of risk. If you would invest 1.79 in BTU Metals Corp on October 23, 2024 and sell it today you would earn a total of 0.21 from holding BTU Metals Corp or generate 11.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 94.74% |
Values | Daily Returns |
BTU Metals Corp vs. Goosehead Insurance
Performance |
Timeline |
BTU Metals Corp |
Goosehead Insurance |
BTU Metals and Goosehead Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BTU Metals and Goosehead Insurance
The main advantage of trading using opposite BTU Metals and Goosehead Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTU Metals position performs unexpectedly, Goosehead Insurance 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 Goosehead Insurance will offset losses from the drop in Goosehead Insurance's long position.BTU Metals vs. Pembina Pipeline | BTU Metals vs. Amkor Technology | BTU Metals vs. Tenaris SA ADR | BTU Metals vs. Noble plc |
Goosehead Insurance vs. Enstar Group Limited | Goosehead Insurance vs. Waterdrop ADR | Goosehead Insurance vs. Axa Equitable Holdings | Goosehead Insurance vs. Hartford Financial Services |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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