Correlation Between Polygon and Waves
Can any of the company-specific risk be diversified away by investing in both Polygon and Waves 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 Waves into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polygon and Waves, you can compare the effects of market volatilities on Polygon and Waves 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 Waves. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polygon and Waves.
Diversification Opportunities for Polygon and Waves
Poor diversification
The 3 months correlation between Polygon and Waves is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and Waves in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Waves 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 Waves. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Waves has no effect on the direction of Polygon i.e., Polygon and Waves go up and down completely randomly.
Pair Corralation between Polygon and Waves
Assuming the 90 days trading horizon Polygon is expected to generate 0.73 times more return on investment than Waves. However, Polygon is 1.37 times less risky than Waves. It trades about 0.02 of its potential returns per unit of risk. Waves is currently generating about -0.01 per unit of risk. If you would invest 104.00 in Polygon on January 25, 2024 and sell it today you would lose (31.00) from holding Polygon or give up 29.81% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Polygon vs. Waves
Performance |
| Timeline |
| Polygon |
| Waves |
Polygon and Waves Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Polygon and Waves
The main advantage of trading using opposite Polygon and Waves positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, Waves 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 Waves will offset losses from the drop in Waves' long position.The idea behind Polygon and Waves 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Other Complementary Tools
| AI Investment Finder Use AI to screen and filter profitable investment opportunities | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation |