Correlation Between Destinations Large and Barings Emerging
Can any of the company-specific risk be diversified away by investing in both Destinations Large and Barings 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 Destinations Large and Barings Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Destinations Large Cap and Barings Emerging Markets, you can compare the effects of market volatilities on Destinations Large and Barings 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 Destinations Large with a short position of Barings Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Destinations Large and Barings Emerging.
Diversification Opportunities for Destinations Large and Barings Emerging
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Destinations and Barings is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Destinations Large Cap and Barings Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Barings Emerging Markets and Destinations 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 Destinations Large Cap are associated (or correlated) with Barings Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Barings Emerging Markets has no effect on the direction of Destinations Large i.e., Destinations Large and Barings Emerging go up and down completely randomly.
Pair Corralation between Destinations Large and Barings Emerging
Assuming the 90 days horizon Destinations Large Cap is expected to under-perform the Barings Emerging. In addition to that, Destinations Large is 18.13 times more volatile than Barings Emerging Markets. It trades about -0.25 of its total potential returns per unit of risk. Barings Emerging Markets is currently generating about -0.41 per unit of volatility. If you would invest 758.00 in Barings Emerging Markets on October 5, 2024 and sell it today you would lose (12.00) from holding Barings Emerging Markets or give up 1.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Destinations Large Cap vs. Barings Emerging Markets
Performance |
Timeline |
Destinations Large Cap |
Barings Emerging Markets |
Destinations Large and Barings Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Destinations Large and Barings Emerging
The main advantage of trading using opposite Destinations Large and Barings Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Destinations Large position performs unexpectedly, Barings 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 Barings Emerging will offset losses from the drop in Barings Emerging's long position.Destinations Large vs. Columbia Convertible Securities | Destinations Large vs. Fidelity Sai Convertible | Destinations Large vs. Advent Claymore Convertible | Destinations Large vs. Lord Abbett Convertible |
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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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