Correlation Between Polygon and SXP
Can any of the company-specific risk be diversified away by investing in both Polygon and SXP 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 SXP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polygon and SXP, you can compare the effects of market volatilities on Polygon and SXP 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 SXP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polygon and SXP.
Diversification Opportunities for Polygon and SXP
Very poor diversification
The 3 months correlation between Polygon and SXP is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and SXP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SXP 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 SXP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SXP has no effect on the direction of Polygon i.e., Polygon and SXP go up and down completely randomly.
Pair Corralation between Polygon and SXP
Assuming the 90 days trading horizon Polygon is expected to under-perform the SXP. But the crypto coin apears to be less risky and, when comparing its historical volatility, Polygon is 1.46 times less risky than SXP. The crypto coin trades about -0.29 of its potential returns per unit of risk. The SXP is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest 42.00 in SXP on January 20, 2024 and sell it today you would lose (9.00) from holding SXP or give up 21.43% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Polygon vs. SXP
Performance |
| Timeline |
| Polygon |
| SXP |
Polygon and SXP Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Polygon and SXP
The main advantage of trading using opposite Polygon and SXP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, SXP 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 SXP will offset losses from the drop in SXP's long position.The idea behind Polygon and SXP 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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