Correlation Between Polygon and SOLVE
Can any of the company-specific risk be diversified away by investing in both Polygon and SOLVE 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 Polygon and SOLVE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polygon and SOLVE, you can compare the effects of market volatilities on Polygon and SOLVE 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 Polygon with a short position of SOLVE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polygon and SOLVE.
Diversification Opportunities for Polygon and SOLVE
Very weak diversification
The 3 months correlation between Polygon and SOLVE is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and SOLVE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SOLVE and Polygon 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 Polygon are associated (or correlated) with SOLVE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SOLVE has no effect on the direction of Polygon i.e., Polygon and SOLVE go up and down completely randomly.
Pair Corralation between Polygon and SOLVE
Assuming the 90 days trading horizon Polygon is expected to under-perform the SOLVE. In addition to that, Polygon is 1.07 times more volatile than SOLVE. It trades about -0.27 of its total potential returns per unit of risk. SOLVE is currently generating about -0.15 per unit of volatility. If you would invest 2.59 in SOLVE on January 25, 2024 and sell it today you would lose (0.48) from holding SOLVE or give up 18.53% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Polygon vs. SOLVE
Performance |
| Timeline |
| Polygon |
| SOLVE |
Polygon and SOLVE Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Polygon and SOLVE
The main advantage of trading using opposite Polygon and SOLVE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, SOLVE 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 SOLVE will offset losses from the drop in SOLVE's long position.The idea behind Polygon and SOLVE pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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