Correlation Between BigBearai Holdings and CBOE Crude

Can any of the company-specific risk be diversified away by investing in both BigBearai Holdings and CBOE Crude 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 CBOE Crude into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between BigBearai Holdings and CBOE Crude Oil, you can compare the effects of market volatilities on BigBearai Holdings and CBOE Crude 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 CBOE Crude. Check out your portfolio center. Please also check ongoing floating volatility patterns of BigBearai Holdings and CBOE Crude.

Diversification Opportunities for BigBearai Holdings and CBOE Crude

-0.62

Correlation Coefficient

BigBearai Holdings  CBOE Crude

Excellent diversification

The 3 months correlation between BigBearai and CBOE is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding BigBearai Holdings and CBOE Crude Oil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CBOE Crude Oil 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 CBOE Crude. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CBOE Crude Oil has no effect on the direction of BigBearai Holdings i.e., BigBearai Holdings and CBOE Crude go up and down completely randomly.

Pair Corralation between BigBearai Holdings and CBOE Crude

Given the investment horizon of 90 days BigBearai Holdings is expected to generate 1.13 times more return on investment than CBOE Crude. However, BigBearai Holdings is 1.13 times more volatile than CBOE Crude Oil. It trades about 0.19 of its potential returns per unit of risk. CBOE Crude Oil is currently generating about 0.02 per unit of risk. If you would invest  158.00  in BigBearai Holdings on September 19, 2024 and sell it today you would earn a total of  182.00  from holding BigBearai Holdings or generate 115.19% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	98.44%
Values	Daily Returns

BigBearai Holdings  vs.  CBOE Crude Oil

Pair Trading with BigBearai Holdings and CBOE Crude

The main advantage of trading using opposite BigBearai Holdings and CBOE Crude positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BigBearai Holdings position performs unexpectedly, CBOE Crude 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 CBOE Crude will offset losses from the drop in CBOE Crude's long position.

The idea behind BigBearai Holdings and CBOE Crude Oil pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.