Correlation Between Ford and SPDR SSGA
Can any of the company-specific risk be diversified away by investing in both Ford and SPDR SSGA 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 SPDR SSGA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and SPDR SSGA Sector, you can compare the effects of market volatilities on Ford and SPDR SSGA 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 SPDR SSGA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and SPDR SSGA.
Diversification Opportunities for Ford and SPDR SSGA
Very weak diversification
The 3 months correlation between Ford and SPDR is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and SPDR SSGA Sector in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR SSGA Sector 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 SPDR SSGA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR SSGA Sector has no effect on the direction of Ford i.e., Ford and SPDR SSGA go up and down completely randomly.
Pair Corralation between Ford and SPDR SSGA
Taking into account the 90-day investment horizon Ford is expected to generate 2.7 times less return on investment than SPDR SSGA. In addition to that, Ford is 2.72 times more volatile than SPDR SSGA Sector. It trades about 0.01 of its total potential returns per unit of risk. SPDR SSGA Sector is currently generating about 0.08 per unit of volatility. If you would invest 3,900 in SPDR SSGA Sector on August 27, 2024 and sell it today you would earn a total of 1,538 from holding SPDR SSGA Sector or generate 39.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. SPDR SSGA Sector
Performance |
Timeline |
Ford Motor |
SPDR SSGA Sector |
Ford and SPDR SSGA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and SPDR SSGA
The main advantage of trading using opposite Ford and SPDR SSGA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, SPDR SSGA 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 SPDR SSGA will offset losses from the drop in SPDR SSGA's long position.The idea behind Ford Motor and SPDR SSGA Sector 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.SPDR SSGA vs. Morningstar Unconstrained Allocation | SPDR SSGA vs. High Yield Municipal Fund | SPDR SSGA vs. Via Renewables | SPDR SSGA vs. Knife River |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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