Correlation Between SOLVE and Polygon
Can any of the company-specific risk be diversified away by investing in both SOLVE and Polygon 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 SOLVE and Polygon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SOLVE and Polygon, you can compare the effects of market volatilities on SOLVE and Polygon 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 SOLVE with a short position of Polygon. Check out your portfolio center. Please also check ongoing floating volatility patterns of SOLVE and Polygon.
Diversification Opportunities for SOLVE and Polygon
Very weak diversification
The 3 months correlation between SOLVE and Polygon is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding SOLVE and Polygon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polygon and SOLVE 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 SOLVE are associated (or correlated) with Polygon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polygon has no effect on the direction of SOLVE i.e., SOLVE and Polygon go up and down completely randomly.
Pair Corralation between SOLVE and Polygon
Assuming the 90 days trading horizon SOLVE is expected to generate 0.9 times more return on investment than Polygon. However, SOLVE is 1.11 times less risky than Polygon. It trades about -0.18 of its potential returns per unit of risk. Polygon is currently generating about -0.27 per unit of risk. If you would invest 2.59 in SOLVE on January 25, 2024 and sell it today you would lose (0.54) from holding SOLVE or give up 20.85% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
SOLVE vs. Polygon
Performance |
| Timeline |
| SOLVE |
| Polygon |
SOLVE and Polygon Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SOLVE and Polygon
The main advantage of trading using opposite SOLVE and Polygon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOLVE position performs unexpectedly, Polygon 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 Polygon will offset losses from the drop in Polygon's long position.The idea behind SOLVE and Polygon 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 Stocks Directory module to find actively traded stocks across global markets.
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