Correlation Between JPM Europe and CM AM
Specify exactly 2 symbols:
By analyzing existing cross correlation between JPM Europe Small and CM AM Monplus NE, you can compare the effects of market volatilities on JPM Europe and CM AM 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 JPM Europe with a short position of CM AM. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPM Europe and CM AM.
Diversification Opportunities for JPM Europe and CM AM
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between JPM and 0P0001F96C is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding JPM Europe Small and CM AM Monplus NE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CM AM Monplus and JPM Europe 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 JPM Europe Small are associated (or correlated) with CM AM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CM AM Monplus has no effect on the direction of JPM Europe i.e., JPM Europe and CM AM go up and down completely randomly.
Pair Corralation between JPM Europe and CM AM
Assuming the 90 days trading horizon JPM Europe Small is expected to generate 77.52 times more return on investment than CM AM. However, JPM Europe is 77.52 times more volatile than CM AM Monplus NE. It trades about 0.09 of its potential returns per unit of risk. CM AM Monplus NE is currently generating about 1.33 per unit of risk. If you would invest 8,835 in JPM Europe Small on September 2, 2024 and sell it today you would earn a total of 109.00 from holding JPM Europe Small or generate 1.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
JPM Europe Small vs. CM AM Monplus NE
Performance |
Timeline |
JPM Europe Small |
CM AM Monplus |
JPM Europe and CM AM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JPM Europe and CM AM
The main advantage of trading using opposite JPM Europe and CM AM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPM Europe position performs unexpectedly, CM AM 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 CM AM will offset losses from the drop in CM AM's long position.JPM Europe vs. Groupama Entreprises N | JPM Europe vs. Renaissance Europe C | JPM Europe vs. Superior Plus Corp | JPM Europe vs. Origin Agritech |
CM AM vs. Groupama Entreprises N | CM AM vs. Renaissance Europe C | CM AM vs. Superior Plus Corp | CM AM vs. Origin Agritech |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Other Complementary Tools
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
Equity Valuation Check real value of public entities based on technical and fundamental data |