Correlation Between Ford and Opus Small
Can any of the company-specific risk be diversified away by investing in both Ford and Opus Small 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 Opus Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Opus Small Cap, you can compare the effects of market volatilities on Ford and Opus Small 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 Opus Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Opus Small.
Diversification Opportunities for Ford and Opus Small
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ford and Opus is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Opus Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Opus Small Cap 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 Opus Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Opus Small Cap has no effect on the direction of Ford i.e., Ford and Opus Small go up and down completely randomly.
Pair Corralation between Ford and Opus Small
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Opus Small. In addition to that, Ford is 2.55 times more volatile than Opus Small Cap. It trades about -0.16 of its total potential returns per unit of risk. Opus Small Cap is currently generating about -0.02 per unit of volatility. If you would invest 3,932 in Opus Small Cap on September 16, 2024 and sell it today you would lose (13.00) from holding Opus Small Cap or give up 0.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. Opus Small Cap
Performance |
Timeline |
Ford Motor |
Opus Small Cap |
Ford and Opus Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Opus Small
The main advantage of trading using opposite Ford and Opus Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Opus Small 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 Opus Small will offset losses from the drop in Opus Small's long position.The idea behind Ford Motor and Opus Small Cap 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.Opus Small vs. Aptus Defined Risk | Opus Small vs. Aptus Collared Income | Opus Small vs. Aptus Drawdown Managed | Opus Small vs. RiverFront Dynamic Dividend |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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