Correlation Between Fat Projects and Fintech Ecosystem
Can any of the company-specific risk be diversified away by investing in both Fat Projects and Fintech Ecosystem 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 Fat Projects and Fintech Ecosystem into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fat Projects Acquisition and Fintech Ecosystem Development, you can compare the effects of market volatilities on Fat Projects and Fintech Ecosystem 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 Fat Projects with a short position of Fintech Ecosystem. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fat Projects and Fintech Ecosystem.
Diversification Opportunities for Fat Projects and Fintech Ecosystem
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Fat and Fintech is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Fat Projects Acquisition and Fintech Ecosystem Development in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fintech Ecosystem and Fat Projects 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 Fat Projects Acquisition are associated (or correlated) with Fintech Ecosystem. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fintech Ecosystem has no effect on the direction of Fat Projects i.e., Fat Projects and Fintech Ecosystem go up and down completely randomly.
Pair Corralation between Fat Projects and Fintech Ecosystem
If you would invest 0.17 in Fintech Ecosystem Development on August 30, 2024 and sell it today you would earn a total of 0.00 from holding Fintech Ecosystem Development or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Fat Projects Acquisition vs. Fintech Ecosystem Development
Performance |
| Timeline |
| Fat Projects Acquisition |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| Fintech Ecosystem |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Fat Projects and Fintech Ecosystem Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Fat Projects and Fintech Ecosystem
The main advantage of trading using opposite Fat Projects and Fintech Ecosystem positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fat Projects position performs unexpectedly, Fintech Ecosystem 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 Fintech Ecosystem will offset losses from the drop in Fintech Ecosystem's long position.The idea behind Fat Projects Acquisition and Fintech Ecosystem Development 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.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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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