Correlation Between Dana Large and Baillie Gifford
Can any of the company-specific risk be diversified away by investing in both Dana Large 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 Dana Large and Baillie Gifford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dana Large Cap and Baillie Gifford China, you can compare the effects of market volatilities on Dana Large 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 Dana Large with a short position of Baillie Gifford. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dana Large and Baillie Gifford.
Diversification Opportunities for Dana Large and Baillie Gifford
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dana and Baillie is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Dana Large Cap 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 Dana Large 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 Dana Large Cap 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 Dana Large i.e., Dana Large and Baillie Gifford go up and down completely randomly.
Pair Corralation between Dana Large and Baillie Gifford
Assuming the 90 days horizon Dana Large is expected to generate 3.6 times less return on investment than Baillie Gifford. But when comparing it to its historical volatility, Dana Large Cap is 3.44 times less risky than Baillie Gifford. It trades about 0.18 of its potential returns per unit of risk. Baillie Gifford China is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 693.00 in Baillie Gifford China on September 13, 2024 and sell it today you would earn a total of 209.00 from holding Baillie Gifford China or generate 30.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 93.65% |
Values | Daily Returns |
Dana Large Cap vs. Baillie Gifford China
Performance |
Timeline |
Dana Large Cap |
Baillie Gifford China |
Dana Large and Baillie Gifford Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dana Large and Baillie Gifford
The main advantage of trading using opposite Dana Large and Baillie Gifford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dana Large 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.Dana Large vs. Mid Cap Growth | Dana Large vs. Franklin Growth Opportunities | Dana Large vs. Needham Aggressive Growth | Dana Large vs. Tfa Alphagen Growth |
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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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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