Correlation Between Ford and LG Longer
Can any of the company-specific risk be diversified away by investing in both Ford and LG Longer 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 LG Longer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and LG Longer Dated, you can compare the effects of market volatilities on Ford and LG Longer 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 LG Longer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and LG Longer.
Diversification Opportunities for Ford and LG Longer
Good diversification
The 3 months correlation between Ford and COMF is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and LG Longer Dated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Longer Dated 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 LG Longer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Longer Dated has no effect on the direction of Ford i.e., Ford and LG Longer go up and down completely randomly.
Pair Corralation between Ford and LG Longer
Taking into account the 90-day investment horizon Ford Motor is expected to generate 3.27 times more return on investment than LG Longer. However, Ford is 3.27 times more volatile than LG Longer Dated. It trades about 0.25 of its potential returns per unit of risk. LG Longer Dated is currently generating about 0.02 per unit of risk. If you would invest 1,008 in Ford Motor on September 2, 2024 and sell it today you would earn a total of 105.00 from holding Ford Motor or generate 10.42% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.45% |
| Values | Daily Returns |
Ford Motor vs. LG Longer Dated
Performance |
| Timeline |
| Ford Motor |
| LG Longer Dated |
Ford and LG Longer Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and LG Longer
The main advantage of trading using opposite Ford and LG Longer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, LG Longer 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 LG Longer will offset losses from the drop in LG Longer's long position.The idea behind Ford Motor and LG Longer Dated 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.| LG Longer vs. iShares MSCI Japan | LG Longer vs. Amundi EUR High | LG Longer vs. iShares JP Morgan | LG Longer vs. Xtrackers MSCI |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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