Correlation Between Ford and ProShares Big
Can any of the company-specific risk be diversified away by investing in both Ford and ProShares Big 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 ProShares Big into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and ProShares Big Data, you can compare the effects of market volatilities on Ford and ProShares Big 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 ProShares Big. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and ProShares Big.
Diversification Opportunities for Ford and ProShares Big
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ford and ProShares is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and ProShares Big Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares Big Data 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 ProShares Big. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares Big Data has no effect on the direction of Ford i.e., Ford and ProShares Big go up and down completely randomly.
Pair Corralation between Ford and ProShares Big
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the ProShares Big. In addition to that, Ford is 1.75 times more volatile than ProShares Big Data. It trades about 0.0 of its total potential returns per unit of risk. ProShares Big Data is currently generating about 0.62 per unit of volatility. If you would invest 3,612 in ProShares Big Data on August 24, 2024 and sell it today you would earn a total of 819.00 from holding ProShares Big Data or generate 22.67% 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. ProShares Big Data
Performance |
| Timeline |
| Ford Motor |
| ProShares Big Data |
Ford and ProShares Big Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and ProShares Big
The main advantage of trading using opposite Ford and ProShares Big positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, ProShares Big 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 ProShares Big will offset losses from the drop in ProShares Big's long position.The idea behind Ford Motor and ProShares Big Data 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.| ProShares Big vs. SPDR SP Health | ProShares Big vs. SPDR SP Health | ProShares Big vs. Aquagold International | ProShares Big vs. Morningstar Unconstrained Allocation |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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