Correlation Between Fobi AI and Vicinity
Can any of the company-specific risk be diversified away by investing in both Fobi AI and Vicinity 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 Fobi AI and Vicinity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fobi AI and Vicinity Motor Corp, you can compare the effects of market volatilities on Fobi AI and Vicinity 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 Fobi AI with a short position of Vicinity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fobi AI and Vicinity.
Diversification Opportunities for Fobi AI and Vicinity
Very poor diversification
The 3 months correlation between Fobi and Vicinity is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Fobi AI and Vicinity Motor Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vicinity Motor Corp and Fobi AI 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 Fobi AI are associated (or correlated) with Vicinity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vicinity Motor Corp has no effect on the direction of Fobi AI i.e., Fobi AI and Vicinity go up and down completely randomly.
Pair Corralation between Fobi AI and Vicinity
Assuming the 90 days trading horizon Fobi AI is expected to generate 0.39 times more return on investment than Vicinity. However, Fobi AI is 2.53 times less risky than Vicinity. It trades about -0.03 of its potential returns per unit of risk. Vicinity Motor Corp is currently generating about -0.06 per unit of risk. If you would invest 11.00 in Fobi AI on September 6, 2024 and sell it today you would lose (7.00) from holding Fobi AI or give up 63.64% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Fobi AI vs. Vicinity Motor Corp
Performance |
Timeline |
Fobi AI |
Vicinity Motor Corp |
Fobi AI and Vicinity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fobi AI and Vicinity
The main advantage of trading using opposite Fobi AI and Vicinity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fobi AI position performs unexpectedly, Vicinity 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 Vicinity will offset losses from the drop in Vicinity's long position.The idea behind Fobi AI and Vicinity Motor Corp 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.Vicinity vs. Blue Bird Corp | Vicinity vs. AYRO Inc | Vicinity vs. BAIC Motor | Vicinity vs. Zapp Electric Vehicles |
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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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