Correlation Between Ford and South Plains
Can any of the company-specific risk be diversified away by investing in both Ford and South Plains 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 South Plains into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and South Plains Financial, you can compare the effects of market volatilities on Ford and South Plains 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 South Plains. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and South Plains.
Diversification Opportunities for Ford and South Plains
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ford and South is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and South Plains Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on South Plains Financial 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 South Plains. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of South Plains Financial has no effect on the direction of Ford i.e., Ford and South Plains go up and down completely randomly.
Pair Corralation between Ford and South Plains
Taking into account the 90-day investment horizon Ford is expected to generate 5.47 times less return on investment than South Plains. But when comparing it to its historical volatility, Ford Motor is 1.3 times less risky than South Plains. It trades about 0.02 of its potential returns per unit of risk. South Plains Financial is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 3,388 in South Plains Financial on September 4, 2024 and sell it today you would earn a total of 512.00 from holding South Plains Financial or generate 15.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. South Plains Financial
Performance |
Timeline |
Ford Motor |
South Plains Financial |
Ford and South Plains Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and South Plains
The main advantage of trading using opposite Ford and South Plains positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, South Plains 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 South Plains will offset losses from the drop in South Plains' long position.The idea behind Ford Motor and South Plains Financial 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.South Plains vs. International Bancshares | South Plains vs. Finward Bancorp | South Plains vs. Aquagold International | South Plains vs. Thrivent High Yield |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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