Correlation Between Ford and JPM INDIAN
Can any of the company-specific risk be diversified away by investing in both Ford and JPM INDIAN 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 JPM INDIAN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and JPM INDIAN INVT, you can compare the effects of market volatilities on Ford and JPM INDIAN 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 JPM INDIAN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and JPM INDIAN.
Diversification Opportunities for Ford and JPM INDIAN
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Ford and JPM is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and JPM INDIAN INVT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPM INDIAN INVT 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 JPM INDIAN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPM INDIAN INVT has no effect on the direction of Ford i.e., Ford and JPM INDIAN go up and down completely randomly.
Pair Corralation between Ford and JPM INDIAN
Taking into account the 90-day investment horizon Ford Motor is expected to generate 1.74 times more return on investment than JPM INDIAN. However, Ford is 1.74 times more volatile than JPM INDIAN INVT. It trades about 0.23 of its potential returns per unit of risk. JPM INDIAN INVT is currently generating about 0.2 per unit of risk. If you would invest 1,015 in Ford Motor on September 1, 2024 and sell it today you would earn a total of 98.00 from holding Ford Motor or generate 9.66% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 91.3% |
| Values | Daily Returns |
Ford Motor vs. JPM INDIAN INVT
Performance |
| Timeline |
| Ford Motor |
| JPM INDIAN INVT |
Ford and JPM INDIAN Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and JPM INDIAN
The main advantage of trading using opposite Ford and JPM INDIAN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, JPM INDIAN 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 JPM INDIAN will offset losses from the drop in JPM INDIAN's long position.The idea behind Ford Motor and JPM INDIAN INVT 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.| JPM INDIAN vs. CEOTRONICS | JPM INDIAN vs. Waste Management | JPM INDIAN vs. CAREER EDUCATION | JPM INDIAN vs. Ares Management Corp |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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