Correlation Between IRIS and Origin Protocol
Can any of the company-specific risk be diversified away by investing in both IRIS 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 IRIS and Origin Protocol into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IRIS and Origin Protocol, you can compare the effects of market volatilities on IRIS 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 IRIS with a short position of Origin Protocol. Check out your portfolio center. Please also check ongoing floating volatility patterns of IRIS and Origin Protocol.
Diversification Opportunities for IRIS and Origin Protocol
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between IRIS and Origin is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding IRIS and Origin Protocol in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Origin Protocol and IRIS 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 IRIS 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 IRIS i.e., IRIS and Origin Protocol go up and down completely randomly.
Pair Corralation between IRIS and Origin Protocol
Assuming the 90 days trading horizon IRIS is expected to generate 1.21 times less return on investment than Origin Protocol. In addition to that, IRIS is 2.91 times more volatile than Origin Protocol. It trades about 0.05 of its total potential returns per unit of risk. Origin Protocol is currently generating about 0.18 per unit of volatility. If you would invest 8.40 in Origin Protocol on September 2, 2024 and sell it today you would earn a total of 5.60 from holding Origin Protocol or generate 66.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
IRIS vs. Origin Protocol
Performance |
Timeline |
IRIS |
Origin Protocol |
IRIS and Origin Protocol Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IRIS and Origin Protocol
The main advantage of trading using opposite IRIS and Origin Protocol positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IRIS 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 IRIS 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. XRP | Origin Protocol vs. Solana | Origin Protocol vs. Staked Ether | Origin Protocol vs. Sui |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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