Correlation Between XLMedia PLC and Intermediate Capital
Can any of the company-specific risk be diversified away by investing in both XLMedia PLC and Intermediate 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 XLMedia PLC and Intermediate Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XLMedia PLC and Intermediate Capital Group, you can compare the effects of market volatilities on XLMedia PLC and Intermediate 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 XLMedia PLC with a short position of Intermediate Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of XLMedia PLC and Intermediate Capital.
Diversification Opportunities for XLMedia PLC and Intermediate Capital
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between XLMedia and Intermediate is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding XLMedia PLC and Intermediate Capital Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intermediate Capital and XLMedia PLC 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 XLMedia PLC are associated (or correlated) with Intermediate Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Intermediate Capital has no effect on the direction of XLMedia PLC i.e., XLMedia PLC and Intermediate Capital go up and down completely randomly.
Pair Corralation between XLMedia PLC and Intermediate Capital
Assuming the 90 days trading horizon XLMedia PLC is expected to under-perform the Intermediate Capital. In addition to that, XLMedia PLC is 3.27 times more volatile than Intermediate Capital Group. It trades about -0.21 of its total potential returns per unit of risk. Intermediate Capital Group is currently generating about -0.17 per unit of volatility. If you would invest 220,600 in Intermediate Capital Group on October 11, 2024 and sell it today you would lose (12,800) from holding Intermediate Capital Group or give up 5.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
XLMedia PLC vs. Intermediate Capital Group
Performance |
Timeline |
XLMedia PLC |
Intermediate Capital |
XLMedia PLC and Intermediate Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XLMedia PLC and Intermediate Capital
The main advantage of trading using opposite XLMedia PLC and Intermediate Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XLMedia PLC position performs unexpectedly, Intermediate 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 Intermediate Capital will offset losses from the drop in Intermediate Capital's long position.XLMedia PLC vs. Livermore Investments Group | XLMedia PLC vs. Hochschild Mining plc | XLMedia PLC vs. Games Workshop Group | XLMedia PLC vs. Darden Restaurants |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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