Correlation Between Ford and SHP ETF
Can any of the company-specific risk be diversified away by investing in both Ford and SHP ETF 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 SHP ETF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and SHP ETF Trust, you can compare the effects of market volatilities on Ford and SHP ETF 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 SHP ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and SHP ETF.
Diversification Opportunities for Ford and SHP ETF
Weak diversification
The 3 months correlation between Ford and SHP is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and SHP ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SHP ETF 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 SHP ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SHP ETF Trust has no effect on the direction of Ford i.e., Ford and SHP ETF go up and down completely randomly.
Pair Corralation between Ford and SHP ETF
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the SHP ETF. In addition to that, Ford is 32.25 times more volatile than SHP ETF Trust. It trades about -0.01 of its total potential returns per unit of risk. SHP ETF Trust is currently generating about 0.29 per unit of volatility. If you would invest 4,843 in SHP ETF Trust on August 29, 2024 and sell it today you would earn a total of 142.00 from holding SHP ETF Trust or generate 2.93% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ford Motor vs. SHP ETF Trust
Performance |
| Timeline |
| Ford Motor |
| SHP ETF Trust |
Ford and SHP ETF Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and SHP ETF
The main advantage of trading using opposite Ford and SHP ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, SHP ETF 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 SHP ETF will offset losses from the drop in SHP ETF's long position.The idea behind Ford Motor and SHP ETF 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.| SHP ETF vs. SHP ETF Trust | SHP ETF vs. SHP ETF Trust | SHP ETF vs. iShares Trust | SHP ETF vs. VanEck ETF Trust |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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