Correlation Between Barings Emerging and Transamerica Large
Can any of the company-specific risk be diversified away by investing in both Barings Emerging and Transamerica Large 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 Transamerica Large 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 Transamerica Large Cap, you can compare the effects of market volatilities on Barings Emerging and Transamerica Large 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 Transamerica Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Barings Emerging and Transamerica Large.
Diversification Opportunities for Barings Emerging and Transamerica Large
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Barings and Transamerica is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Barings Emerging Markets and Transamerica Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Transamerica Large Cap 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 Transamerica Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Transamerica Large Cap has no effect on the direction of Barings Emerging i.e., Barings Emerging and Transamerica Large go up and down completely randomly.
Pair Corralation between Barings Emerging and Transamerica Large
Assuming the 90 days horizon Barings Emerging Markets is expected to generate 0.23 times more return on investment than Transamerica Large. However, Barings Emerging Markets is 4.42 times less risky than Transamerica Large. It trades about -0.3 of its potential returns per unit of risk. Transamerica Large Cap is currently generating about -0.22 per unit of risk. If you would invest 756.00 in Barings Emerging Markets on October 14, 2024 and sell it today you would lose (9.00) from holding Barings Emerging Markets or give up 1.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Barings Emerging Markets vs. Transamerica Large Cap
Performance |
Timeline |
Barings Emerging Markets |
Transamerica Large Cap |
Barings Emerging and Transamerica Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Barings Emerging and Transamerica Large
The main advantage of trading using opposite Barings Emerging and Transamerica Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Barings Emerging position performs unexpectedly, Transamerica Large 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 Transamerica Large will offset losses from the drop in Transamerica Large's long position.Barings Emerging vs. Metropolitan West Porate | Barings Emerging vs. Morningstar Defensive Bond | Barings Emerging vs. Maryland Tax Free Bond | Barings Emerging vs. Siit High Yield |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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