Correlation Between Finexia Financial and Credit Clear
Can any of the company-specific risk be diversified away by investing in both Finexia Financial and Credit Clear 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 Finexia Financial and Credit Clear into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Finexia Financial Group and Credit Clear, you can compare the effects of market volatilities on Finexia Financial and Credit Clear 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 Finexia Financial with a short position of Credit Clear. Check out your portfolio center. Please also check ongoing floating volatility patterns of Finexia Financial and Credit Clear.
Diversification Opportunities for Finexia Financial and Credit Clear
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Finexia and Credit is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Finexia Financial Group and Credit Clear in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credit Clear and Finexia Financial 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 Finexia Financial Group are associated (or correlated) with Credit Clear. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Credit Clear has no effect on the direction of Finexia Financial i.e., Finexia Financial and Credit Clear go up and down completely randomly.
Pair Corralation between Finexia Financial and Credit Clear
Assuming the 90 days trading horizon Finexia Financial Group is expected to under-perform the Credit Clear. But the stock apears to be less risky and, when comparing its historical volatility, Finexia Financial Group is 1.09 times less risky than Credit Clear. The stock trades about -0.22 of its potential returns per unit of risk. The Credit Clear is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 35.00 in Credit Clear on October 10, 2024 and sell it today you would lose (2.00) from holding Credit Clear or give up 5.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Finexia Financial Group vs. Credit Clear
Performance |
Timeline |
Finexia Financial |
Credit Clear |
Finexia Financial and Credit Clear Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Finexia Financial and Credit Clear
The main advantage of trading using opposite Finexia Financial and Credit Clear positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Finexia Financial position performs unexpectedly, Credit Clear 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 Credit Clear will offset losses from the drop in Credit Clear's long position.Finexia Financial vs. MotorCycle Holdings | Finexia Financial vs. Stelar Metals | Finexia Financial vs. Aurelia Metals | Finexia Financial vs. Hotel Property Investments |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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