Correlation Between Global Alpha and Baillie Gifford
Can any of the company-specific risk be diversified away by investing in both Global Alpha 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 Global Alpha and Baillie Gifford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Global Alpha and Baillie Gifford China, you can compare the effects of market volatilities on Global Alpha 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 Global Alpha with a short position of Baillie Gifford. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Alpha and Baillie Gifford.
Diversification Opportunities for Global Alpha and Baillie Gifford
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Global and Baillie is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding The Global Alpha and Baillie Gifford China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baillie Gifford China and Global Alpha 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 The Global Alpha 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 China has no effect on the direction of Global Alpha i.e., Global Alpha and Baillie Gifford go up and down completely randomly.
Pair Corralation between Global Alpha and Baillie Gifford
Assuming the 90 days horizon The Global Alpha is expected to under-perform the Baillie Gifford. But the mutual fund apears to be less risky and, when comparing its historical volatility, The Global Alpha is 1.34 times less risky than Baillie Gifford. The mutual fund trades about -0.01 of its potential returns per unit of risk. The Baillie Gifford China is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 515.00 in Baillie Gifford China on December 29, 2024 and sell it today you would earn a total of 81.00 from holding Baillie Gifford China or generate 15.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
The Global Alpha vs. Baillie Gifford China
Performance |
Timeline |
Global Alpha |
Baillie Gifford China |
Global Alpha and Baillie Gifford Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global Alpha and Baillie Gifford
The main advantage of trading using opposite Global Alpha and Baillie Gifford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Alpha 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.Global Alpha vs. The Eafe Pure | Global Alpha vs. The Long Term | Global Alpha vs. Baillie Gifford International | Global Alpha vs. Baillie Gifford International |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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