Correlation Between Regions Financial and Cairn Homes
Can any of the company-specific risk be diversified away by investing in both Regions Financial and Cairn Homes 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 Regions Financial and Cairn Homes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regions Financial Corp and Cairn Homes PLC, you can compare the effects of market volatilities on Regions Financial and Cairn Homes 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 Regions Financial with a short position of Cairn Homes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and Cairn Homes.
Diversification Opportunities for Regions Financial and Cairn Homes
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Regions and Cairn is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial Corp and Cairn Homes PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cairn Homes PLC and Regions 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 Regions Financial Corp are associated (or correlated) with Cairn Homes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cairn Homes PLC has no effect on the direction of Regions Financial i.e., Regions Financial and Cairn Homes go up and down completely randomly.
Pair Corralation between Regions Financial and Cairn Homes
Assuming the 90 days trading horizon Regions Financial Corp is expected to under-perform the Cairn Homes. But the stock apears to be less risky and, when comparing its historical volatility, Regions Financial Corp is 1.11 times less risky than Cairn Homes. The stock trades about -0.09 of its potential returns per unit of risk. The Cairn Homes PLC is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 18,920 in Cairn Homes PLC on December 24, 2024 and sell it today you would lose (1,480) from holding Cairn Homes PLC or give up 7.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Regions Financial Corp vs. Cairn Homes PLC
Performance |
Timeline |
Regions Financial Corp |
Cairn Homes PLC |
Regions Financial and Cairn Homes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regions Financial and Cairn Homes
The main advantage of trading using opposite Regions Financial and Cairn Homes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, Cairn Homes 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 Cairn Homes will offset losses from the drop in Cairn Homes' long position.Regions Financial vs. Cornish Metals | Regions Financial vs. Alien Metals | Regions Financial vs. Science in Sport | Regions Financial vs. Fidelity National Information |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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