Correlation Between Metro Bank and Cembra Money
Can any of the company-specific risk be diversified away by investing in both Metro Bank and Cembra Money 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 Metro Bank and Cembra Money into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Metro Bank PLC and Cembra Money Bank, you can compare the effects of market volatilities on Metro Bank and Cembra Money 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 Metro Bank with a short position of Cembra Money. Check out your portfolio center. Please also check ongoing floating volatility patterns of Metro Bank and Cembra Money.
Diversification Opportunities for Metro Bank and Cembra Money
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Metro and Cembra is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Metro Bank PLC and Cembra Money Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cembra Money Bank and Metro Bank 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 Metro Bank PLC are associated (or correlated) with Cembra Money. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cembra Money Bank has no effect on the direction of Metro Bank i.e., Metro Bank and Cembra Money go up and down completely randomly.
Pair Corralation between Metro Bank and Cembra Money
Assuming the 90 days trading horizon Metro Bank is expected to generate 2.79 times less return on investment than Cembra Money. In addition to that, Metro Bank is 2.81 times more volatile than Cembra Money Bank. It trades about 0.01 of its total potential returns per unit of risk. Cembra Money Bank is currently generating about 0.09 per unit of volatility. If you would invest 8,360 in Cembra Money Bank on October 10, 2024 and sell it today you would earn a total of 165.00 from holding Cembra Money Bank or generate 1.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Metro Bank PLC vs. Cembra Money Bank
Performance |
Timeline |
Metro Bank PLC |
Cembra Money Bank |
Metro Bank and Cembra Money Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Metro Bank and Cembra Money
The main advantage of trading using opposite Metro Bank and Cembra Money positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metro Bank position performs unexpectedly, Cembra Money 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 Cembra Money will offset losses from the drop in Cembra Money's long position.Metro Bank vs. Panther Metals PLC | Metro Bank vs. First Class Metals | Metro Bank vs. Atalaya Mining | Metro Bank vs. CVS Health Corp |
Cembra Money vs. DXC Technology Co | Cembra Money vs. EVS Broadcast Equipment | Cembra Money vs. JB Hunt Transport | Cembra Money vs. Sabien Technology Group |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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