Correlation Between Ford and Lyxor MSCI
Can any of the company-specific risk be diversified away by investing in both Ford and Lyxor MSCI 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 MSCI 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 MSCI China, you can compare the effects of market volatilities on Ford and Lyxor MSCI 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 MSCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Lyxor MSCI.
Diversification Opportunities for Ford and Lyxor MSCI
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ford and Lyxor is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Lyxor MSCI China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lyxor MSCI China 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 MSCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lyxor MSCI China has no effect on the direction of Ford i.e., Ford and Lyxor MSCI go up and down completely randomly.
Pair Corralation between Ford and Lyxor MSCI
Taking into account the 90-day investment horizon Ford Motor is expected to generate 1.42 times more return on investment than Lyxor MSCI. However, Ford is 1.42 times more volatile than Lyxor MSCI China. It trades about 0.04 of its potential returns per unit of risk. Lyxor MSCI China is currently generating about -0.2 per unit of risk. If you would invest 1,122 in Ford Motor on August 27, 2024 and sell it today you would earn a total of 18.00 from holding Ford Motor or generate 1.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. Lyxor MSCI China
Performance |
Timeline |
Ford Motor |
Lyxor MSCI China |
Ford and Lyxor MSCI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Lyxor MSCI
The main advantage of trading using opposite Ford and Lyxor MSCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Lyxor MSCI 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 MSCI will offset losses from the drop in Lyxor MSCI's long position.The idea behind Ford Motor and Lyxor MSCI China 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 MSCI vs. Lyxor Smart Overnight | Lyxor MSCI vs. Lyxor UCITS EuroMTS | Lyxor MSCI vs. Lyxor Core UK | Lyxor MSCI vs. Lyxor Core Global |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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