Correlation Between Polygon and Origin Protocol
Can any of the company-specific risk be diversified away by investing in both Polygon and Origin Protocol 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 Origin Protocol into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polygon and Origin Protocol, you can compare the effects of market volatilities on Polygon and Origin Protocol 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 Origin Protocol. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polygon and Origin Protocol.
Diversification Opportunities for Polygon and Origin Protocol
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Polygon and Origin is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and Origin Protocol in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Origin Protocol 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 Origin Protocol. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Origin Protocol has no effect on the direction of Polygon i.e., Polygon and Origin Protocol go up and down completely randomly.
Pair Corralation between Polygon and Origin Protocol
Assuming the 90 days trading horizon Polygon is expected to under-perform the Origin Protocol. But the crypto coin apears to be less risky and, when comparing its historical volatility, Polygon is 1.4 times less risky than Origin Protocol. The crypto coin trades about -0.23 of its potential returns per unit of risk. The Origin Protocol is currently generating about -0.12 of returns per unit of risk over similar time horizon. If you would invest 21.00 in Origin Protocol on January 26, 2024 and sell it today you would lose (5.00) from holding Origin Protocol or give up 23.81% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Polygon vs. Origin Protocol
Performance |
| Timeline |
| Polygon |
| Origin Protocol |
Polygon and Origin Protocol Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Polygon and Origin Protocol
The main advantage of trading using opposite Polygon and Origin Protocol positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, Origin Protocol 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 Origin Protocol will offset losses from the drop in Origin Protocol's long position.The idea behind Polygon and Origin Protocol 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.| Origin Protocol vs. Solana | Origin Protocol vs. XRP | Origin Protocol vs. Staked Ether | Origin Protocol vs. The Open Network |
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.
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