Correlation Between BigBearai Holdings and NightFood Holdings
Can any of the company-specific risk be diversified away by investing in both BigBearai Holdings and NightFood Holdings 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 NightFood Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BigBearai Holdings and NightFood Holdings, you can compare the effects of market volatilities on BigBearai Holdings and NightFood Holdings 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 NightFood Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of BigBearai Holdings and NightFood Holdings.
Diversification Opportunities for BigBearai Holdings and NightFood Holdings
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between BigBearai and NightFood is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding BigBearai Holdings and NightFood Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NightFood Holdings 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 NightFood Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NightFood Holdings has no effect on the direction of BigBearai Holdings i.e., BigBearai Holdings and NightFood Holdings go up and down completely randomly.
Pair Corralation between BigBearai Holdings and NightFood Holdings
Given the investment horizon of 90 days BigBearai Holdings is expected to generate 1.27 times more return on investment than NightFood Holdings. However, BigBearai Holdings is 1.27 times more volatile than NightFood Holdings. It trades about 0.1 of its potential returns per unit of risk. NightFood Holdings is currently generating about -0.06 per unit of risk. If you would invest 423.00 in BigBearai Holdings on December 4, 2024 and sell it today you would earn a total of 53.00 from holding BigBearai Holdings or generate 12.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
BigBearai Holdings vs. NightFood Holdings
Performance |
Timeline |
BigBearai Holdings |
NightFood Holdings |
BigBearai Holdings and NightFood Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BigBearai Holdings and NightFood Holdings
The main advantage of trading using opposite BigBearai Holdings and NightFood Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BigBearai Holdings position performs unexpectedly, NightFood Holdings 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 NightFood Holdings will offset losses from the drop in NightFood Holdings' long position.BigBearai Holdings vs. Innodata | BigBearai Holdings vs. CLPS Inc | BigBearai Holdings vs. ARB IOT Group | BigBearai Holdings vs. FiscalNote Holdings |
NightFood Holdings vs. Premier Foods Plc | NightFood Holdings vs. Torque Lifestyle Brands | NightFood Holdings vs. Naturally Splendid Enterprises | NightFood Holdings vs. Aryzta AG PK |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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