Correlation Between Ford and Brown Brown
Can any of the company-specific risk be diversified away by investing in both Ford and Brown Brown 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 Brown Brown into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Brown Brown, you can compare the effects of market volatilities on Ford and Brown Brown 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 Brown Brown. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Brown Brown.
Diversification Opportunities for Ford and Brown Brown
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ford and Brown is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Brown Brown in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brown Brown 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 Brown Brown. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brown Brown has no effect on the direction of Ford i.e., Ford and Brown Brown go up and down completely randomly.
Pair Corralation between Ford and Brown Brown
Taking into account the 90-day investment horizon Ford is expected to generate 1.87 times less return on investment than Brown Brown. In addition to that, Ford is 1.75 times more volatile than Brown Brown. It trades about 0.06 of its total potential returns per unit of risk. Brown Brown is currently generating about 0.18 per unit of volatility. If you would invest 9,720 in Brown Brown on December 19, 2024 and sell it today you would earn a total of 1,245 from holding Brown Brown or generate 12.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Ford Motor vs. Brown Brown
Performance |
Timeline |
Ford Motor |
Brown Brown |
Ford and Brown Brown Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Brown Brown
The main advantage of trading using opposite Ford and Brown Brown positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Brown Brown 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 Brown Brown will offset losses from the drop in Brown Brown's long position.The idea behind Ford Motor and Brown Brown 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.Brown Brown vs. Harmony Gold Mining | Brown Brown vs. EBRO FOODS | Brown Brown vs. Cleanaway Waste Management | Brown Brown vs. DaChan Food Limited |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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