Correlation Between Ford and Linktel Technologies
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By analyzing existing cross correlation between Ford Motor and Linktel Technologies Co, you can compare the effects of market volatilities on Ford and Linktel Technologies 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 Linktel Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Linktel Technologies.
Diversification Opportunities for Ford and Linktel Technologies
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ford and Linktel is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Linktel Technologies Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Linktel Technologies 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 Linktel Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Linktel Technologies has no effect on the direction of Ford i.e., Ford and Linktel Technologies go up and down completely randomly.
Pair Corralation between Ford and Linktel Technologies
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Linktel Technologies. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 2.44 times less risky than Linktel Technologies. The stock trades about -0.02 of its potential returns per unit of risk. The Linktel Technologies Co is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 7,578 in Linktel Technologies Co on September 29, 2024 and sell it today you would earn a total of 662.00 from holding Linktel Technologies Co or generate 8.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Ford Motor vs. Linktel Technologies Co
Performance |
Timeline |
Ford Motor |
Linktel Technologies |
Ford and Linktel Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Linktel Technologies
The main advantage of trading using opposite Ford and Linktel Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Linktel Technologies 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 Linktel Technologies will offset losses from the drop in Linktel Technologies' long position.The idea behind Ford Motor and Linktel Technologies Co 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.Linktel Technologies vs. Industrial and Commercial | Linktel Technologies vs. Agricultural Bank of | Linktel Technologies vs. China Construction Bank | Linktel Technologies vs. Bank of China |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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