Correlation Between MCO and Origin Protocol
Can any of the company-specific risk be diversified away by investing in both MCO 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 MCO and Origin Protocol into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MCO and Origin Protocol, you can compare the effects of market volatilities on MCO 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 MCO with a short position of Origin Protocol. Check out your portfolio center. Please also check ongoing floating volatility patterns of MCO and Origin Protocol.
Diversification Opportunities for MCO and Origin Protocol
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between MCO and Origin is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding MCO and Origin Protocol in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Origin Protocol and MCO 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 MCO 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 MCO i.e., MCO and Origin Protocol go up and down completely randomly.
Pair Corralation between MCO and Origin Protocol
Assuming the 90 days trading horizon MCO is expected to generate 13.11 times more return on investment than Origin Protocol. However, MCO is 13.11 times more volatile than Origin Protocol. It trades about 0.08 of its potential returns per unit of risk. Origin Protocol is currently generating about 0.07 per unit of risk. If you would invest 184.00 in MCO on January 24, 2024 and sell it today you would lose (99.00) from holding MCO or give up 53.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MCO vs. Origin Protocol
Performance |
Timeline |
MCO |
Origin Protocol |
MCO and Origin Protocol Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MCO and Origin Protocol
The main advantage of trading using opposite MCO and Origin Protocol positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MCO 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 MCO 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. The Open Network | Origin Protocol vs. Staked Ether |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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