Correlation Between DAX Index and JPM Global
Specify exactly 2 symbols:
By analyzing existing cross correlation between DAX Index and JPM Global Natural, you can compare the effects of market volatilities on DAX Index and JPM Global 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 DAX Index with a short position of JPM Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and JPM Global.
Diversification Opportunities for DAX Index and JPM Global
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between DAX and JPM is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and JPM Global Natural in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPM Global Natural and DAX Index 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 DAX Index are associated (or correlated) with JPM Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPM Global Natural has no effect on the direction of DAX Index i.e., DAX Index and JPM Global go up and down completely randomly.
Pair Corralation between DAX Index and JPM Global
Assuming the 90 days trading horizon DAX Index is expected to generate 0.7 times more return on investment than JPM Global. However, DAX Index is 1.43 times less risky than JPM Global. It trades about 0.26 of its potential returns per unit of risk. JPM Global Natural is currently generating about -0.5 per unit of risk. If you would invest 1,914,617 in DAX Index on September 22, 2024 and sell it today you would earn a total of 73,858 from holding DAX Index or generate 3.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DAX Index vs. JPM Global Natural
Performance |
Timeline |
DAX Index and JPM Global Volatility Contrast
Predicted Return Density |
Returns |
DAX Index
Pair trading matchups for DAX Index
JPM Global Natural
Pair trading matchups for JPM Global
Pair Trading with DAX Index and JPM Global
The main advantage of trading using opposite DAX Index and JPM Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, JPM Global 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 JPM Global will offset losses from the drop in JPM Global's long position.DAX Index vs. Tradegate AG Wertpapierhandelsbank | DAX Index vs. TRADEDOUBLER AB SK | DAX Index vs. SALESFORCE INC CDR | DAX Index vs. CENTURIA OFFICE REIT |
JPM Global vs. Groupama Entreprises N | JPM Global vs. Renaissance Europe C | JPM Global vs. Superior Plus Corp | JPM Global 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Other Complementary Tools
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |