Correlation Between Lyxor UCITS and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Lyxor UCITS and Dow Jones at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Lyxor UCITS and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lyxor UCITS Stoxx and Dow Jones Industrial, you can compare the effects of market volatilities on Lyxor UCITS and Dow Jones 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 Lyxor UCITS with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lyxor UCITS and Dow Jones.
Diversification Opportunities for Lyxor UCITS and Dow Jones
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lyxor and Dow is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Lyxor UCITS Stoxx and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Lyxor UCITS 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 Lyxor UCITS Stoxx are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Lyxor UCITS i.e., Lyxor UCITS and Dow Jones go up and down completely randomly.
Pair Corralation between Lyxor UCITS and Dow Jones
Assuming the 90 days trading horizon Lyxor UCITS is expected to generate 1.69 times less return on investment than Dow Jones. In addition to that, Lyxor UCITS is 1.06 times more volatile than Dow Jones Industrial. It trades about 0.09 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.16 per unit of volatility. If you would invest 3,292,896 in Dow Jones Industrial on August 25, 2024 and sell it today you would earn a total of 1,136,755 from holding Dow Jones Industrial or generate 34.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 98.55% |
| Values | Daily Returns |
Lyxor UCITS Stoxx vs. Dow Jones Industrial
Performance |
| Timeline |
Lyxor UCITS and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Lyxor UCITS Stoxx
Pair trading matchups for Lyxor UCITS
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Lyxor UCITS and Dow Jones
The main advantage of trading using opposite Lyxor UCITS and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lyxor UCITS position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| Lyxor UCITS vs. Amundi Index Solutions | Lyxor UCITS vs. Amundi ETF PEA | Lyxor UCITS vs. Lyxor UCITS Stoxx | Lyxor UCITS vs. Amundi PEA Eau |
| Dow Jones vs. Vistra Energy Corp | Dow Jones vs. Fluence Energy | Dow Jones vs. Old Republic International | Dow Jones vs. Empresa Distribuidora y |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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