Correlation Between DAX Index and Warehouses
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By analyzing existing cross correlation between DAX Index and Warehouses De Pauw, you can compare the effects of market volatilities on DAX Index and Warehouses 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 Warehouses. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and Warehouses.
Diversification Opportunities for DAX Index and Warehouses
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between DAX and Warehouses is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Warehouses De Pauw in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Warehouses De Pauw 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 Warehouses. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Warehouses De Pauw has no effect on the direction of DAX Index i.e., DAX Index and Warehouses go up and down completely randomly.
Pair Corralation between DAX Index and Warehouses
Assuming the 90 days trading horizon DAX Index is expected to generate 0.52 times more return on investment than Warehouses. However, DAX Index is 1.93 times less risky than Warehouses. It trades about 0.21 of its potential returns per unit of risk. Warehouses De Pauw is currently generating about -0.25 per unit of risk. If you would invest 1,929,598 in DAX Index on September 27, 2024 and sell it today you would earn a total of 55,279 from holding DAX Index or generate 2.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
DAX Index vs. Warehouses De Pauw
Performance |
Timeline |
DAX Index and Warehouses Volatility Contrast
Predicted Return Density |
Returns |
DAX Index
Pair trading matchups for DAX Index
Warehouses De Pauw
Pair trading matchups for Warehouses
Pair Trading with DAX Index and Warehouses
The main advantage of trading using opposite DAX Index and Warehouses positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, Warehouses 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 Warehouses will offset losses from the drop in Warehouses' long position.DAX Index vs. URBAN OUTFITTERS | DAX Index vs. DATANG INTL POW | DAX Index vs. Magnachip Semiconductor | DAX Index vs. Datang International Power |
Warehouses vs. Extra Space Storage | Warehouses vs. First Industrial Realty | Warehouses vs. National Storage Affiliates | Warehouses vs. Montea Comm VA |
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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