Correlation Between Davis Financial and Ashmore Emerging
Can any of the company-specific risk be diversified away by investing in both Davis Financial and Ashmore Emerging 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 Davis Financial and Ashmore Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Davis Financial Fund and Ashmore Emerging Markets, you can compare the effects of market volatilities on Davis Financial and Ashmore Emerging 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 Davis Financial with a short position of Ashmore Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Davis Financial and Ashmore Emerging.
Diversification Opportunities for Davis Financial and Ashmore Emerging
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Davis and Ashmore is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Davis Financial Fund and Ashmore Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ashmore Emerging Markets and Davis Financial 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 Davis Financial Fund are associated (or correlated) with Ashmore Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ashmore Emerging Markets has no effect on the direction of Davis Financial i.e., Davis Financial and Ashmore Emerging go up and down completely randomly.
Pair Corralation between Davis Financial and Ashmore Emerging
Assuming the 90 days horizon Davis Financial Fund is expected to generate 1.48 times more return on investment than Ashmore Emerging. However, Davis Financial is 1.48 times more volatile than Ashmore Emerging Markets. It trades about 0.31 of its potential returns per unit of risk. Ashmore Emerging Markets is currently generating about -0.12 per unit of risk. If you would invest 6,717 in Davis Financial Fund on September 2, 2024 and sell it today you would earn a total of 669.00 from holding Davis Financial Fund or generate 9.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Davis Financial Fund vs. Ashmore Emerging Markets
Performance |
Timeline |
Davis Financial |
Ashmore Emerging Markets |
Davis Financial and Ashmore Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Davis Financial and Ashmore Emerging
The main advantage of trading using opposite Davis Financial and Ashmore Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Davis Financial position performs unexpectedly, Ashmore Emerging 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 Ashmore Emerging will offset losses from the drop in Ashmore Emerging's long position.Davis Financial vs. Touchstone Large Cap | Davis Financial vs. Dodge Cox Stock | Davis Financial vs. Transamerica Large Cap | Davis Financial vs. M Large Cap |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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