Correlation Between Ambrus Core and Ultrashort Emerging
Can any of the company-specific risk be diversified away by investing in both Ambrus Core and Ultrashort 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 Ambrus Core and Ultrashort Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ambrus Core Bond and Ultrashort Emerging Markets, you can compare the effects of market volatilities on Ambrus Core and Ultrashort 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 Ambrus Core with a short position of Ultrashort Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ambrus Core and Ultrashort Emerging.
Diversification Opportunities for Ambrus Core and Ultrashort Emerging
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Ambrus and Ultrashort is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding Ambrus Core Bond and Ultrashort Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ultrashort Emerging and Ambrus Core 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 Ambrus Core Bond are associated (or correlated) with Ultrashort Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ultrashort Emerging has no effect on the direction of Ambrus Core i.e., Ambrus Core and Ultrashort Emerging go up and down completely randomly.
Pair Corralation between Ambrus Core and Ultrashort Emerging
Assuming the 90 days horizon Ambrus Core Bond is expected to generate 0.09 times more return on investment than Ultrashort Emerging. However, Ambrus Core Bond is 11.15 times less risky than Ultrashort Emerging. It trades about 0.2 of its potential returns per unit of risk. Ultrashort Emerging Markets is currently generating about -0.13 per unit of risk. If you would invest 989.00 in Ambrus Core Bond on June 4, 2025 and sell it today you would earn a total of 20.00 from holding Ambrus Core Bond or generate 2.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ambrus Core Bond vs. Ultrashort Emerging Markets
Performance |
Timeline |
Ambrus Core Bond |
Ultrashort Emerging |
Ambrus Core and Ultrashort Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ambrus Core and Ultrashort Emerging
The main advantage of trading using opposite Ambrus Core and Ultrashort Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ambrus Core position performs unexpectedly, Ultrashort 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 Ultrashort Emerging will offset losses from the drop in Ultrashort Emerging's long position.Ambrus Core vs. Vanguard Short Term Bond | Ambrus Core vs. Vanguard Short Term Investment Grade | Ambrus Core vs. Vanguard Short Term Investment Grade | Ambrus Core vs. Vanguard Short Term Investment Grade |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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