Correlation Between DAX Index and CLEANTECH LITH
Specify exactly 2 symbols:
By analyzing existing cross correlation between DAX Index and CLEANTECH LITH LS, you can compare the effects of market volatilities on DAX Index and CLEANTECH LITH 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 CLEANTECH LITH. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and CLEANTECH LITH.
Diversification Opportunities for DAX Index and CLEANTECH LITH
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between DAX and CLEANTECH is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and CLEANTECH LITH LS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CLEANTECH LITH LS 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 CLEANTECH LITH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CLEANTECH LITH LS has no effect on the direction of DAX Index i.e., DAX Index and CLEANTECH LITH go up and down completely randomly.
Pair Corralation between DAX Index and CLEANTECH LITH
Assuming the 90 days trading horizon DAX Index is expected to generate 0.09 times more return on investment than CLEANTECH LITH. However, DAX Index is 10.68 times less risky than CLEANTECH LITH. It trades about 0.16 of its potential returns per unit of risk. CLEANTECH LITH LS is currently generating about -0.06 per unit of risk. If you would invest 1,872,001 in DAX Index on September 20, 2024 and sell it today you would earn a total of 152,256 from holding DAX Index or generate 8.13% 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. CLEANTECH LITH LS
Performance |
Timeline |
DAX Index and CLEANTECH LITH Volatility Contrast
Predicted Return Density |
Returns |
DAX Index
Pair trading matchups for DAX Index
CLEANTECH LITH LS
Pair trading matchups for CLEANTECH LITH
Pair Trading with DAX Index and CLEANTECH LITH
The main advantage of trading using opposite DAX Index and CLEANTECH LITH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, CLEANTECH LITH 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 CLEANTECH LITH will offset losses from the drop in CLEANTECH LITH's long position.DAX Index vs. Warner Music Group | DAX Index vs. Take Two Interactive Software | DAX Index vs. Sixt Leasing SE | DAX Index vs. JAPAN TOBACCO UNSPADR12 |
CLEANTECH LITH vs. Apple Inc | CLEANTECH LITH vs. Apple Inc | CLEANTECH LITH vs. Apple Inc | CLEANTECH LITH vs. Apple Inc |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Complementary Tools
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data |