Correlation Between Ford and AddTech Hub
Can any of the company-specific risk be diversified away by investing in both Ford and AddTech Hub 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 AddTech Hub into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and AddTech Hub Public, you can compare the effects of market volatilities on Ford and AddTech Hub 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 AddTech Hub. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and AddTech Hub.
Diversification Opportunities for Ford and AddTech Hub
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ford and AddTech is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and AddTech Hub Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AddTech Hub Public 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 AddTech Hub. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AddTech Hub Public has no effect on the direction of Ford i.e., Ford and AddTech Hub go up and down completely randomly.
Pair Corralation between Ford and AddTech Hub
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the AddTech Hub. In addition to that, Ford is 1.58 times more volatile than AddTech Hub Public. It trades about -0.05 of its total potential returns per unit of risk. AddTech Hub Public is currently generating about -0.03 per unit of volatility. If you would invest 479.00 in AddTech Hub Public on September 22, 2024 and sell it today you would lose (13.00) from holding AddTech Hub Public or give up 2.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.88% |
Values | Daily Returns |
Ford Motor vs. AddTech Hub Public
Performance |
Timeline |
Ford Motor |
AddTech Hub Public |
Ford and AddTech Hub Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and AddTech Hub
The main advantage of trading using opposite Ford and AddTech Hub positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, AddTech Hub 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 AddTech Hub will offset losses from the drop in AddTech Hub's long position.The idea behind Ford Motor and AddTech Hub Public 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.AddTech Hub vs. Forth Public | AddTech Hub vs. Ditto Public | AddTech Hub vs. II Group Public | AddTech Hub vs. After You Public |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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