Correlation Between Alliance Data and FC Investment
Can any of the company-specific risk be diversified away by investing in both Alliance Data and FC Investment 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 Alliance Data and FC Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alliance Data Systems and FC Investment Trust, you can compare the effects of market volatilities on Alliance Data and FC Investment 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 Alliance Data with a short position of FC Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alliance Data and FC Investment.
Diversification Opportunities for Alliance Data and FC Investment
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Alliance and FCIT is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Alliance Data Systems and FC Investment Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FC Investment Trust and Alliance Data 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 Alliance Data Systems are associated (or correlated) with FC Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FC Investment Trust has no effect on the direction of Alliance Data i.e., Alliance Data and FC Investment go up and down completely randomly.
Pair Corralation between Alliance Data and FC Investment
Assuming the 90 days trading horizon Alliance Data is expected to generate 5.05 times less return on investment than FC Investment. In addition to that, Alliance Data is 2.89 times more volatile than FC Investment Trust. It trades about 0.02 of its total potential returns per unit of risk. FC Investment Trust is currently generating about 0.27 per unit of volatility. If you would invest 113,000 in FC Investment Trust on November 7, 2024 and sell it today you would earn a total of 5,800 from holding FC Investment Trust or generate 5.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 85.71% |
Values | Daily Returns |
Alliance Data Systems vs. FC Investment Trust
Performance |
Timeline |
Alliance Data Systems |
FC Investment Trust |
Alliance Data and FC Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alliance Data and FC Investment
The main advantage of trading using opposite Alliance Data and FC Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alliance Data position performs unexpectedly, FC Investment 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 FC Investment will offset losses from the drop in FC Investment's long position.Alliance Data vs. mobilezone holding AG | Alliance Data vs. Aeorema Communications Plc | Alliance Data vs. Wheaton Precious Metals | Alliance Data vs. UNIQA Insurance Group |
FC Investment vs. AMG Advanced Metallurgical | FC Investment vs. JB Hunt Transport | FC Investment vs. Eastinco Mining Exploration | FC Investment vs. British American Tobacco |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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