Correlation Between Ford and North American
Can any of the company-specific risk be diversified away by investing in both Ford and North American 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 North American into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and North American Financial, you can compare the effects of market volatilities on Ford and North American 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 North American. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and North American.
Diversification Opportunities for Ford and North American
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ford and North is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and North American Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on North American 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 North American. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of North American Financial has no effect on the direction of Ford i.e., Ford and North American go up and down completely randomly.
Pair Corralation between Ford and North American
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the North American. In addition to that, Ford is 8.92 times more volatile than North American Financial. It trades about -0.03 of its total potential returns per unit of risk. North American Financial is currently generating about 0.52 per unit of volatility. If you would invest 1,005 in North American Financial on September 26, 2024 and sell it today you would earn a total of 76.00 from holding North American Financial or generate 7.56% 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. North American Financial
Performance |
Timeline |
Ford Motor |
North American Financial |
Ford and North American Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and North American
The main advantage of trading using opposite Ford and North American positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, North American 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 North American will offset losses from the drop in North American's long position.The idea behind Ford Motor and North American 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.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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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