Correlation Between Barings Emerging and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Barings Emerging and Loomis Sayles 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 Barings Emerging and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Barings Emerging Markets and Loomis Sayles Smallmid, you can compare the effects of market volatilities on Barings Emerging and Loomis Sayles 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 Barings Emerging with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Barings Emerging and Loomis Sayles.
Diversification Opportunities for Barings Emerging and Loomis Sayles
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Barings and Loomis is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Barings Emerging Markets and Loomis Sayles Smallmid in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Smallmid and Barings Emerging 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 Barings Emerging Markets are associated (or correlated) with Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Smallmid has no effect on the direction of Barings Emerging i.e., Barings Emerging and Loomis Sayles go up and down completely randomly.
Pair Corralation between Barings Emerging and Loomis Sayles
Assuming the 90 days horizon Barings Emerging Markets is expected to generate 0.19 times more return on investment than Loomis Sayles. However, Barings Emerging Markets is 5.27 times less risky than Loomis Sayles. It trades about -0.47 of its potential returns per unit of risk. Loomis Sayles Smallmid is currently generating about -0.27 per unit of risk. If you would invest 759.00 in Barings Emerging Markets on September 29, 2024 and sell it today you would lose (14.00) from holding Barings Emerging Markets or give up 1.84% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Barings Emerging Markets vs. Loomis Sayles Smallmid
Performance |
Timeline |
Barings Emerging Markets |
Loomis Sayles Smallmid |
Barings Emerging and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Barings Emerging and Loomis Sayles
The main advantage of trading using opposite Barings Emerging and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Barings Emerging position performs unexpectedly, Loomis Sayles 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 Loomis Sayles will offset losses from the drop in Loomis Sayles' long position.Barings Emerging vs. Aig Government Money | Barings Emerging vs. Virtus Seix Government | Barings Emerging vs. Lord Abbett Government | Barings Emerging vs. Elfun Government Money |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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