Correlation Between Ford and SSgA SPDR
Can any of the company-specific risk be diversified away by investing in both Ford and SSgA SPDR 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 SSgA SPDR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and SSgA SPDR ETFs, you can compare the effects of market volatilities on Ford and SSgA SPDR 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 SSgA SPDR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and SSgA SPDR.
Diversification Opportunities for Ford and SSgA SPDR
Very weak diversification
The 3 months correlation between Ford and SSgA is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and SSgA SPDR ETFs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SSgA SPDR ETFs 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 SSgA SPDR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SSgA SPDR ETFs has no effect on the direction of Ford i.e., Ford and SSgA SPDR go up and down completely randomly.
Pair Corralation between Ford and SSgA SPDR
Taking into account the 90-day investment horizon Ford Motor is expected to generate 5.58 times more return on investment than SSgA SPDR. However, Ford is 5.58 times more volatile than SSgA SPDR ETFs. It trades about 0.01 of its potential returns per unit of risk. SSgA SPDR ETFs is currently generating about 0.01 per unit of risk. If you would invest 1,140 in Ford Motor on September 4, 2024 and sell it today you would lose (42.00) from holding Ford Motor or give up 3.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Ford Motor vs. SSgA SPDR ETFs
Performance |
Timeline |
Ford Motor |
SSgA SPDR ETFs |
Ford and SSgA SPDR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and SSgA SPDR
The main advantage of trading using opposite Ford and SSgA SPDR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, SSgA SPDR 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 SSgA SPDR will offset losses from the drop in SSgA SPDR's long position.The idea behind Ford Motor and SSgA SPDR ETFs 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.SSgA SPDR vs. UBS Fund Solutions | SSgA SPDR vs. Xtrackers II | SSgA SPDR vs. Xtrackers Nikkei 225 | SSgA SPDR vs. iShares VII PLC |
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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