Correlation Between DAX Index and KURITA WTR
Specify exactly 2 symbols:
By analyzing existing cross correlation between DAX Index and KURITA WTR INDUNSPADR, you can compare the effects of market volatilities on DAX Index and KURITA WTR 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 KURITA WTR. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and KURITA WTR.
Diversification Opportunities for DAX Index and KURITA WTR
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DAX and KURITA is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and KURITA WTR INDUNSPADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KURITA WTR INDUNSPADR 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 KURITA WTR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KURITA WTR INDUNSPADR has no effect on the direction of DAX Index i.e., DAX Index and KURITA WTR go up and down completely randomly.
Pair Corralation between DAX Index and KURITA WTR
Assuming the 90 days trading horizon DAX Index is expected to generate 1.21 times less return on investment than KURITA WTR. But when comparing it to its historical volatility, DAX Index is 2.58 times less risky than KURITA WTR. It trades about 0.17 of its potential returns per unit of risk. KURITA WTR INDUNSPADR is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 5,650 in KURITA WTR INDUNSPADR on April 24, 2025 and sell it today you would earn a total of 550.00 from holding KURITA WTR INDUNSPADR or generate 9.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
DAX Index vs. KURITA WTR INDUNSPADR
Performance |
Timeline |
DAX Index and KURITA WTR Volatility Contrast
Predicted Return Density |
Returns |
DAX Index
Pair trading matchups for DAX Index
KURITA WTR INDUNSPADR
Pair trading matchups for KURITA WTR
Pair Trading with DAX Index and KURITA WTR
The main advantage of trading using opposite DAX Index and KURITA WTR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, KURITA WTR 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 KURITA WTR will offset losses from the drop in KURITA WTR's long position.DAX Index vs. Geely Automobile Holdings | DAX Index vs. NORDHEALTH AS NK | DAX Index vs. NORTHEAST UTILITIES | DAX Index vs. Carsales |
KURITA WTR vs. WANDA HOTEL DEVEL | KURITA WTR vs. ALTAIR RES INC | KURITA WTR vs. Scandic Hotels Group | KURITA WTR vs. RYANAIR HLDGS ADR |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Other Complementary Tools
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |