Correlation Between Ford and Lyxor UCITS
Can any of the company-specific risk be diversified away by investing in both Ford and Lyxor UCITS 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 Ford and Lyxor UCITS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Lyxor UCITS iBoxx, you can compare the effects of market volatilities on Ford and Lyxor UCITS 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 Ford with a short position of Lyxor UCITS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Lyxor UCITS.
Diversification Opportunities for Ford and Lyxor UCITS
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ford and Lyxor is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Lyxor UCITS iBoxx in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lyxor UCITS iBoxx and Ford 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 Ford Motor are associated (or correlated) with Lyxor UCITS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lyxor UCITS iBoxx has no effect on the direction of Ford i.e., Ford and Lyxor UCITS go up and down completely randomly.
Pair Corralation between Ford and Lyxor UCITS
Taking into account the 90-day investment horizon Ford Motor is expected to generate 5.96 times more return on investment than Lyxor UCITS. However, Ford is 5.96 times more volatile than Lyxor UCITS iBoxx. It trades about 0.08 of its potential returns per unit of risk. Lyxor UCITS iBoxx is currently generating about 0.31 per unit of risk. If you would invest 1,042 in Ford Motor on August 30, 2024 and sell it today you would earn a total of 68.00 from holding Ford Motor or generate 6.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 97.73% |
Values | Daily Returns |
Ford Motor vs. Lyxor UCITS iBoxx
Performance |
Timeline |
Ford Motor |
Lyxor UCITS iBoxx |
Ford and Lyxor UCITS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Lyxor UCITS
The main advantage of trading using opposite Ford and Lyxor UCITS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Lyxor UCITS 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 Lyxor UCITS will offset losses from the drop in Lyxor UCITS's long position.The idea behind Ford Motor and Lyxor UCITS iBoxx pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Lyxor UCITS vs. Manitou BF SA | Lyxor UCITS vs. Ossiam Minimum Variance | Lyxor UCITS vs. Ekinops SA | Lyxor UCITS vs. Orapi SA |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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