Correlation Between SmartETFs Dividend and Martin Currie
Can any of the company-specific risk be diversified away by investing in both SmartETFs Dividend and Martin Currie 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 SmartETFs Dividend and Martin Currie into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SmartETFs Dividend Builder and Martin Currie Sustainable, you can compare the effects of market volatilities on SmartETFs Dividend and Martin Currie 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 SmartETFs Dividend with a short position of Martin Currie. Check out your portfolio center. Please also check ongoing floating volatility patterns of SmartETFs Dividend and Martin Currie.
Diversification Opportunities for SmartETFs Dividend and Martin Currie
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SmartETFs and Martin is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding SmartETFs Dividend Builder and Martin Currie Sustainable in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Martin Currie Sustainable and SmartETFs Dividend 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 SmartETFs Dividend Builder are associated (or correlated) with Martin Currie. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Martin Currie Sustainable has no effect on the direction of SmartETFs Dividend i.e., SmartETFs Dividend and Martin Currie go up and down completely randomly.
Pair Corralation between SmartETFs Dividend and Martin Currie
Given the investment horizon of 90 days SmartETFs Dividend Builder is expected to generate 0.5 times more return on investment than Martin Currie. However, SmartETFs Dividend Builder is 2.0 times less risky than Martin Currie. It trades about 0.13 of its potential returns per unit of risk. Martin Currie Sustainable is currently generating about -0.13 per unit of risk. If you would invest 2,944 in SmartETFs Dividend Builder on September 1, 2024 and sell it today you would earn a total of 43.00 from holding SmartETFs Dividend Builder or generate 1.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SmartETFs Dividend Builder vs. Martin Currie Sustainable
Performance |
Timeline |
SmartETFs Dividend |
Martin Currie Sustainable |
SmartETFs Dividend and Martin Currie Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SmartETFs Dividend and Martin Currie
The main advantage of trading using opposite SmartETFs Dividend and Martin Currie positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SmartETFs Dividend position performs unexpectedly, Martin Currie 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 Martin Currie will offset losses from the drop in Martin Currie's long position.SmartETFs Dividend vs. SmartETFs Asia Pacific | SmartETFs Dividend vs. Listed Funds Trust | SmartETFs Dividend vs. iShares AsiaPacific Dividend | SmartETFs Dividend vs. ProShares MSCI Emerging |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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