Correlation Between Ashmore Emerging and Invesco Limited
Can any of the company-specific risk be diversified away by investing in both Ashmore Emerging and Invesco Limited 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 Ashmore Emerging and Invesco Limited into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ashmore Emerging Markets and Invesco Limited Term, you can compare the effects of market volatilities on Ashmore Emerging and Invesco Limited 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 Ashmore Emerging with a short position of Invesco Limited. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ashmore Emerging and Invesco Limited.
Diversification Opportunities for Ashmore Emerging and Invesco Limited
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Ashmore and Invesco is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Ashmore Emerging Markets and Invesco Limited Term in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco Limited Term and Ashmore 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 Ashmore Emerging Markets are associated (or correlated) with Invesco Limited. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco Limited Term has no effect on the direction of Ashmore Emerging i.e., Ashmore Emerging and Invesco Limited go up and down completely randomly.
Pair Corralation between Ashmore Emerging and Invesco Limited
Assuming the 90 days horizon Ashmore Emerging Markets is expected to under-perform the Invesco Limited. In addition to that, Ashmore Emerging is 2.55 times more volatile than Invesco Limited Term. It trades about -0.1 of its total potential returns per unit of risk. Invesco Limited Term is currently generating about 0.18 per unit of volatility. If you would invest 1,096 in Invesco Limited Term on September 2, 2024 and sell it today you would earn a total of 6.00 from holding Invesco Limited Term or generate 0.55% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ashmore Emerging Markets vs. Invesco Limited Term
Performance |
| Timeline |
| Ashmore Emerging Markets |
| Invesco Limited Term |
Ashmore Emerging and Invesco Limited Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ashmore Emerging and Invesco Limited
The main advantage of trading using opposite Ashmore Emerging and Invesco Limited positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ashmore Emerging position performs unexpectedly, Invesco Limited 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 Invesco Limited will offset losses from the drop in Invesco Limited's long position.| Ashmore Emerging vs. Ashmore Emerging Markets | Ashmore Emerging vs. Ashmore Emerging Markets | Ashmore Emerging vs. Ashmore Emerging Markets | Ashmore Emerging vs. Ashmore Emerging Markets |
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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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