Correlation Between Applied Blockchain and Fobi AI
Can any of the company-specific risk be diversified away by investing in both Applied Blockchain and Fobi AI 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 Applied Blockchain and Fobi AI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Blockchain and Fobi AI, you can compare the effects of market volatilities on Applied Blockchain and Fobi AI 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 Applied Blockchain with a short position of Fobi AI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Blockchain and Fobi AI.
Diversification Opportunities for Applied Blockchain and Fobi AI
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Applied and Fobi is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Applied Blockchain and Fobi AI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fobi AI and Applied Blockchain 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 Applied Blockchain are associated (or correlated) with Fobi AI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fobi AI has no effect on the direction of Applied Blockchain i.e., Applied Blockchain and Fobi AI go up and down completely randomly.
Pair Corralation between Applied Blockchain and Fobi AI
Given the investment horizon of 90 days Applied Blockchain is expected to generate 0.86 times more return on investment than Fobi AI. However, Applied Blockchain is 1.16 times less risky than Fobi AI. It trades about 0.04 of its potential returns per unit of risk. Fobi AI is currently generating about -0.04 per unit of risk. If you would invest 927.00 in Applied Blockchain on August 31, 2024 and sell it today you would earn a total of 117.00 from holding Applied Blockchain or generate 12.62% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 99.73% |
| Values | Daily Returns |
Applied Blockchain vs. Fobi AI
Performance |
| Timeline |
| Applied Blockchain |
| Fobi AI |
Applied Blockchain and Fobi AI Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Applied Blockchain and Fobi AI
The main advantage of trading using opposite Applied Blockchain and Fobi AI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Blockchain position performs unexpectedly, Fobi AI 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 Fobi AI will offset losses from the drop in Fobi AI's long position.| Applied Blockchain vs. Magic Empire Global | Applied Blockchain vs. Zhong Yang Financial | Applied Blockchain vs. Netcapital | Applied Blockchain vs. Lazard |
| Fobi AI vs. Zerify Inc | Fobi AI vs. Smartmetric | Fobi AI vs. World Health Energy | Fobi AI vs. Plyzer Technologies |
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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