Correlation Between BigBearai Holdings and Bannerman Resources
Can any of the company-specific risk be diversified away by investing in both BigBearai Holdings and Bannerman Resources 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 BigBearai Holdings and Bannerman Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BigBearai Holdings and Bannerman Resources, you can compare the effects of market volatilities on BigBearai Holdings and Bannerman Resources 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 BigBearai Holdings with a short position of Bannerman Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of BigBearai Holdings and Bannerman Resources.
Diversification Opportunities for BigBearai Holdings and Bannerman Resources
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BigBearai and Bannerman is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding BigBearai Holdings and Bannerman Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bannerman Resources and BigBearai Holdings 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 BigBearai Holdings are associated (or correlated) with Bannerman Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bannerman Resources has no effect on the direction of BigBearai Holdings i.e., BigBearai Holdings and Bannerman Resources go up and down completely randomly.
Pair Corralation between BigBearai Holdings and Bannerman Resources
Given the investment horizon of 90 days BigBearai Holdings is expected to generate 1.92 times more return on investment than Bannerman Resources. However, BigBearai Holdings is 1.92 times more volatile than Bannerman Resources. It trades about 0.13 of its potential returns per unit of risk. Bannerman Resources is currently generating about 0.1 per unit of risk. If you would invest 158.00 in BigBearai Holdings on September 15, 2024 and sell it today you would earn a total of 94.00 from holding BigBearai Holdings or generate 59.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BigBearai Holdings vs. Bannerman Resources
Performance |
Timeline |
BigBearai Holdings |
Bannerman Resources |
BigBearai Holdings and Bannerman Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BigBearai Holdings and Bannerman Resources
The main advantage of trading using opposite BigBearai Holdings and Bannerman Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BigBearai Holdings position performs unexpectedly, Bannerman Resources 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 Bannerman Resources will offset losses from the drop in Bannerman Resources' long position.BigBearai Holdings vs. Innodata | BigBearai Holdings vs. CLPS Inc | BigBearai Holdings vs. ARB IOT Group | BigBearai Holdings vs. FiscalNote Holdings |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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