Correlation Between Ford and Strats SM
Can any of the company-specific risk be diversified away by investing in both Ford and Strats SM 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 Strats SM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Strats SM Trust, you can compare the effects of market volatilities on Ford and Strats SM 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 Strats SM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Strats SM.
Diversification Opportunities for Ford and Strats SM
Very good diversification
The 3 months correlation between Ford and Strats is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Strats SM Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Strats SM Trust 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 Strats SM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Strats SM Trust has no effect on the direction of Ford i.e., Ford and Strats SM go up and down completely randomly.
Pair Corralation between Ford and Strats SM
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Strats SM. In addition to that, Ford is 6.04 times more volatile than Strats SM Trust. It trades about -0.06 of its total potential returns per unit of risk. Strats SM Trust is currently generating about 0.03 per unit of volatility. If you would invest 2,476 in Strats SM Trust on September 19, 2024 and sell it today you would earn a total of 11.00 from holding Strats SM Trust or generate 0.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. Strats SM Trust
Performance |
Timeline |
Ford Motor |
Strats SM Trust |
Ford and Strats SM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Strats SM
The main advantage of trading using opposite Ford and Strats SM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Strats SM 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 Strats SM will offset losses from the drop in Strats SM's long position.The idea behind Ford Motor and Strats SM Trust 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.Strats SM vs. STRATS SM Trust | Strats SM vs. STRATS SM Trust | Strats SM vs. Strats SM Trust | Strats SM vs. STRATSSM Certificates series |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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