Correlation Between Ford and Baillie Gifford
Can any of the company-specific risk be diversified away by investing in both Ford and Baillie Gifford 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 Baillie Gifford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Baillie Gifford Discovery, you can compare the effects of market volatilities on Ford and Baillie Gifford 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 Baillie Gifford. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Baillie Gifford.
Diversification Opportunities for Ford and Baillie Gifford
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ford and Baillie is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Baillie Gifford Discovery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baillie Gifford Discovery 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 Baillie Gifford. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baillie Gifford Discovery has no effect on the direction of Ford i.e., Ford and Baillie Gifford go up and down completely randomly.
Pair Corralation between Ford and Baillie Gifford
Taking into account the 90-day investment horizon Ford is expected to generate 2.13 times less return on investment than Baillie Gifford. In addition to that, Ford is 1.53 times more volatile than Baillie Gifford Discovery. It trades about 0.02 of its total potential returns per unit of risk. Baillie Gifford Discovery is currently generating about 0.08 per unit of volatility. If you would invest 472.00 in Baillie Gifford Discovery on September 3, 2024 and sell it today you would earn a total of 138.00 from holding Baillie Gifford Discovery or generate 29.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ford Motor vs. Baillie Gifford Discovery
Performance |
| Timeline |
| Ford Motor |
| Baillie Gifford Discovery |
Ford and Baillie Gifford Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and Baillie Gifford
The main advantage of trading using opposite Ford and Baillie Gifford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Baillie Gifford 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 Baillie Gifford will offset losses from the drop in Baillie Gifford's long position.| Ford vs. GreenPower Motor | Ford vs. ZEEKR Intelligent Technology | Ford vs. Volcon Inc | Ford vs. Ford Motor |
| Baillie Gifford vs. Columbia Global Technology | Baillie Gifford vs. Red Oak Technology | Baillie Gifford vs. Technology Ultrasector Profund | Baillie Gifford vs. Blackrock Science Technology |
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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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