Correlation Between Baillie Gifford and Baillie Gifford
Can any of the company-specific risk be diversified away by investing in both Baillie Gifford 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 Baillie Gifford and Baillie Gifford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Baillie Gifford China and Baillie Gifford Health, you can compare the effects of market volatilities on Baillie Gifford 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 Baillie Gifford with a short position of Baillie Gifford. Check out your portfolio center. Please also check ongoing floating volatility patterns of Baillie Gifford and Baillie Gifford.
Diversification Opportunities for Baillie Gifford and Baillie Gifford
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Baillie and Baillie is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Baillie Gifford China and Baillie Gifford Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baillie Gifford Health and Baillie Gifford 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 Baillie Gifford China 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 Health has no effect on the direction of Baillie Gifford i.e., Baillie Gifford and Baillie Gifford go up and down completely randomly.
Pair Corralation between Baillie Gifford and Baillie Gifford
Assuming the 90 days horizon Baillie Gifford China is expected to generate 1.24 times more return on investment than Baillie Gifford. However, Baillie Gifford is 1.24 times more volatile than Baillie Gifford Health. It trades about -0.02 of its potential returns per unit of risk. Baillie Gifford Health is currently generating about -0.03 per unit of risk. If you would invest 1,033 in Baillie Gifford China on September 2, 2024 and sell it today you would lose (131.00) from holding Baillie Gifford China or give up 12.68% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Baillie Gifford China vs. Baillie Gifford Health
Performance |
| Timeline |
| Baillie Gifford China |
| Baillie Gifford Health |
Baillie Gifford and Baillie Gifford Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Baillie Gifford and Baillie Gifford
The main advantage of trading using opposite Baillie Gifford and Baillie Gifford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Baillie Gifford 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.| Baillie Gifford vs. Blackrock Inflation Protected | Baillie Gifford vs. Ab Bond Inflation | Baillie Gifford vs. Lord Abbett Inflation | Baillie Gifford vs. Cref Inflation Linked Bond |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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