Correlation Between Infrax Systems and BitFrontier Capital
Can any of the company-specific risk be diversified away by investing in both Infrax Systems and BitFrontier Capital 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 Infrax Systems and BitFrontier Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Infrax Systems and BitFrontier Capital Holdings, you can compare the effects of market volatilities on Infrax Systems and BitFrontier Capital 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 Infrax Systems with a short position of BitFrontier Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Infrax Systems and BitFrontier Capital.
Diversification Opportunities for Infrax Systems and BitFrontier Capital
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Infrax and BitFrontier is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Infrax Systems and BitFrontier Capital Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BitFrontier Capital and Infrax Systems 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 Infrax Systems are associated (or correlated) with BitFrontier Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BitFrontier Capital has no effect on the direction of Infrax Systems i.e., Infrax Systems and BitFrontier Capital go up and down completely randomly.
Pair Corralation between Infrax Systems and BitFrontier Capital
Given the investment horizon of 90 days Infrax Systems is expected to generate 1.47 times more return on investment than BitFrontier Capital. However, Infrax Systems is 1.47 times more volatile than BitFrontier Capital Holdings. It trades about 0.1 of its potential returns per unit of risk. BitFrontier Capital Holdings is currently generating about 0.03 per unit of risk. If you would invest 0.05 in Infrax Systems on November 27, 2024 and sell it today you would earn a total of 0.00 from holding Infrax Systems or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Infrax Systems vs. BitFrontier Capital Holdings
Performance |
| Timeline |
| Infrax Systems |
| BitFrontier Capital |
Infrax Systems and BitFrontier Capital Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Infrax Systems and BitFrontier Capital
The main advantage of trading using opposite Infrax Systems and BitFrontier Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Infrax Systems position performs unexpectedly, BitFrontier Capital 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 BitFrontier Capital will offset losses from the drop in BitFrontier Capital's long position.| Infrax Systems vs. OFX Group Ltd | Infrax Systems vs. Pinetree Capital | Infrax Systems vs. GreenBank Capital | Infrax Systems vs. Arcane Crypto AB |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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