Correlation Between Green Century and Pax Balanced
Can any of the company-specific risk be diversified away by investing in both Green Century and Pax Balanced 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 Green Century and Pax Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Green Century Balanced and Pax Balanced Fund, you can compare the effects of market volatilities on Green Century and Pax Balanced 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 Green Century with a short position of Pax Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Green Century and Pax Balanced.
Diversification Opportunities for Green Century and Pax Balanced
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Green and Pax is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Green Century Balanced and Pax Balanced Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pax Balanced and Green Century 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 Green Century Balanced are associated (or correlated) with Pax Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pax Balanced has no effect on the direction of Green Century i.e., Green Century and Pax Balanced go up and down completely randomly.
Pair Corralation between Green Century and Pax Balanced
Assuming the 90 days horizon Green Century Balanced is expected to generate 1.04 times more return on investment than Pax Balanced. However, Green Century is 1.04 times more volatile than Pax Balanced Fund. It trades about 0.13 of its potential returns per unit of risk. Pax Balanced Fund is currently generating about 0.13 per unit of risk. If you would invest 3,147 in Green Century Balanced on September 1, 2024 and sell it today you would earn a total of 629.00 from holding Green Century Balanced or generate 19.99% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Green Century Balanced vs. Pax Balanced Fund
Performance |
| Timeline |
| Green Century Balanced |
| Pax Balanced |
Green Century and Pax Balanced Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Green Century and Pax Balanced
The main advantage of trading using opposite Green Century and Pax Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Green Century position performs unexpectedly, Pax Balanced 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 Pax Balanced will offset losses from the drop in Pax Balanced's long position.| Green Century vs. Green Century Equity | Green Century vs. Portfolio 21 Global | Green Century vs. New Alternatives Fund | Green Century vs. Pax Balanced Fund |
| Pax Balanced vs. Pax Esg Beta | Pax Balanced vs. Pax High Yield | Pax Balanced vs. Domini Impact Equity | Pax Balanced vs. Neuberger Berman Socially |
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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