Correlation Between Amundi ETF and Ossiam Shiller
Can any of the company-specific risk be diversified away by investing in both Amundi ETF and Ossiam Shiller 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 Amundi ETF and Ossiam Shiller into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amundi ETF Leveraged and Ossiam Shiller Barclays, you can compare the effects of market volatilities on Amundi ETF and Ossiam Shiller 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 Amundi ETF with a short position of Ossiam Shiller. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amundi ETF and Ossiam Shiller.
Diversification Opportunities for Amundi ETF and Ossiam Shiller
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Amundi and Ossiam is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Amundi ETF Leveraged and Ossiam Shiller Barclays in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ossiam Shiller Barclays and Amundi ETF 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 Amundi ETF Leveraged are associated (or correlated) with Ossiam Shiller. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ossiam Shiller Barclays has no effect on the direction of Amundi ETF i.e., Amundi ETF and Ossiam Shiller go up and down completely randomly.
Pair Corralation between Amundi ETF and Ossiam Shiller
Assuming the 90 days trading horizon Amundi ETF Leveraged is expected to generate 2.92 times more return on investment than Ossiam Shiller. However, Amundi ETF is 2.92 times more volatile than Ossiam Shiller Barclays. It trades about 0.26 of its potential returns per unit of risk. Ossiam Shiller Barclays is currently generating about -0.26 per unit of risk. If you would invest 2,242 in Amundi ETF Leveraged on August 27, 2024 and sell it today you would earn a total of 305.00 from holding Amundi ETF Leveraged or generate 13.6% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Amundi ETF Leveraged vs. Ossiam Shiller Barclays
Performance |
| Timeline |
| Amundi ETF Leveraged |
| Ossiam Shiller Barclays |
Amundi ETF and Ossiam Shiller Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Amundi ETF and Ossiam Shiller
The main advantage of trading using opposite Amundi ETF and Ossiam Shiller positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amundi ETF position performs unexpectedly, Ossiam Shiller 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 Ossiam Shiller will offset losses from the drop in Ossiam Shiller's long position.| Amundi ETF vs. Lyxor UCITS NASDAQ 100 | Amundi ETF vs. Lyxor UCITS Daily | Amundi ETF vs. Lyxor UCITS Stoxx | Amundi ETF vs. Amundi Index Solutions |
| Ossiam Shiller vs. Lyxor UCITS Stoxx | Ossiam Shiller vs. Xtrackers MSCI Europe | Ossiam Shiller vs. SPDR SP 500 |
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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