Correlation Between Aberdeen China and Guggenheim Risk
Can any of the company-specific risk be diversified away by investing in both Aberdeen China and Guggenheim Risk 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 Aberdeen China and Guggenheim Risk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aberdeen China Oppty and Guggenheim Risk Managed, you can compare the effects of market volatilities on Aberdeen China and Guggenheim Risk 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 Aberdeen China with a short position of Guggenheim Risk. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aberdeen China and Guggenheim Risk.
Diversification Opportunities for Aberdeen China and Guggenheim Risk
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Aberdeen and Guggenheim is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Aberdeen China Oppty and Guggenheim Risk Managed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Risk Managed and Aberdeen China 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 Aberdeen China Oppty are associated (or correlated) with Guggenheim Risk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Risk Managed has no effect on the direction of Aberdeen China i.e., Aberdeen China and Guggenheim Risk go up and down completely randomly.
Pair Corralation between Aberdeen China and Guggenheim Risk
Assuming the 90 days horizon Aberdeen China Oppty is expected to under-perform the Guggenheim Risk. In addition to that, Aberdeen China is 1.32 times more volatile than Guggenheim Risk Managed. It trades about -0.05 of its total potential returns per unit of risk. Guggenheim Risk Managed is currently generating about 0.02 per unit of volatility. If you would invest 2,894 in Guggenheim Risk Managed on October 10, 2024 and sell it today you would earn a total of 239.00 from holding Guggenheim Risk Managed or generate 8.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aberdeen China Oppty vs. Guggenheim Risk Managed
Performance |
Timeline |
Aberdeen China Oppty |
Guggenheim Risk Managed |
Aberdeen China and Guggenheim Risk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aberdeen China and Guggenheim Risk
The main advantage of trading using opposite Aberdeen China and Guggenheim Risk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aberdeen China position performs unexpectedly, Guggenheim Risk 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 Guggenheim Risk will offset losses from the drop in Guggenheim Risk's long position.Aberdeen China vs. Ultramid Cap Profund Ultramid Cap | Aberdeen China vs. Amg River Road | Aberdeen China vs. William Blair Small | Aberdeen China vs. Ultrasmall Cap Profund Ultrasmall Cap |
Guggenheim Risk vs. Guggenheim Risk Managed | Guggenheim Risk vs. Guggenheim Risk Managed | Guggenheim Risk vs. Guggenheim Risk Managed | Guggenheim Risk vs. Lazard Global Listed |
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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