Correlation Between Ford and First IC
Can any of the company-specific risk be diversified away by investing in both Ford and First IC 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 First IC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and First IC, you can compare the effects of market volatilities on Ford and First IC 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 First IC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and First IC.
Diversification Opportunities for Ford and First IC
Very good diversification
The 3 months correlation between Ford and First is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and First IC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First IC 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 First IC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First IC has no effect on the direction of Ford i.e., Ford and First IC go up and down completely randomly.
Pair Corralation between Ford and First IC
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the First IC. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 2.37 times less risky than First IC. The stock trades about 0.0 of its potential returns per unit of risk. The First IC is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 800.00 in First IC on November 5, 2024 and sell it today you would earn a total of 230.00 from holding First IC or generate 28.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 62.83% |
| Values | Daily Returns |
Ford Motor vs. First IC
Performance |
| Timeline |
| Ford Motor |
| First IC |
Ford and First IC Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and First IC
The main advantage of trading using opposite Ford and First IC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, First IC 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 First IC will offset losses from the drop in First IC's long position.The idea behind Ford Motor and First IC 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.| First IC vs. CCFNB Bancorp | First IC vs. Glen Burnie Bancorp | First IC vs. Main Street Financial | First IC vs. Enterprise Financial Services |
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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