Correlation Between Baillie Gifford and Queens Road
Can any of the company-specific risk be diversified away by investing in both Baillie Gifford and Queens Road 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 Queens Road into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Baillie Gifford Health and Queens Road Small, you can compare the effects of market volatilities on Baillie Gifford and Queens Road 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 Queens Road. Check out your portfolio center. Please also check ongoing floating volatility patterns of Baillie Gifford and Queens Road.
Diversification Opportunities for Baillie Gifford and Queens Road
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Baillie and Queens is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Baillie Gifford Health and Queens Road Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Queens Road Small 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 Health are associated (or correlated) with Queens Road. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Queens Road Small has no effect on the direction of Baillie Gifford i.e., Baillie Gifford and Queens Road go up and down completely randomly.
Pair Corralation between Baillie Gifford and Queens Road
Assuming the 90 days horizon Baillie Gifford Health is expected to generate 1.53 times more return on investment than Queens Road. However, Baillie Gifford is 1.53 times more volatile than Queens Road Small. It trades about 0.09 of its potential returns per unit of risk. Queens Road Small is currently generating about -0.21 per unit of risk. If you would invest 552.00 in Baillie Gifford Health on September 21, 2024 and sell it today you would earn a total of 21.00 from holding Baillie Gifford Health or generate 3.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Baillie Gifford Health vs. Queens Road Small
Performance |
Timeline |
Baillie Gifford Health |
Queens Road Small |
Baillie Gifford and Queens Road Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Baillie Gifford and Queens Road
The main advantage of trading using opposite Baillie Gifford and Queens Road positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Baillie Gifford position performs unexpectedly, Queens Road 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 Queens Road will offset losses from the drop in Queens Road's long position.Baillie Gifford vs. The Eafe Pure | Baillie Gifford vs. The Long Term | Baillie Gifford vs. Baillie Gifford International | Baillie Gifford vs. Baillie Gifford International |
Queens Road vs. Eventide Healthcare Life | Queens Road vs. Baillie Gifford Health | Queens Road vs. Baron Health Care | Queens Road vs. The Gabelli Healthcare |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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