Correlation Between MONA and Dusk Network
Can any of the company-specific risk be diversified away by investing in both MONA and Dusk Network 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 MONA and Dusk Network into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MONA and Dusk Network, you can compare the effects of market volatilities on MONA and Dusk Network 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 MONA with a short position of Dusk Network. Check out your portfolio center. Please also check ongoing floating volatility patterns of MONA and Dusk Network.
Diversification Opportunities for MONA and Dusk Network
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between MONA and Dusk is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding MONA and Dusk Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dusk Network and MONA 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 MONA are associated (or correlated) with Dusk Network. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dusk Network has no effect on the direction of MONA i.e., MONA and Dusk Network go up and down completely randomly.
Pair Corralation between MONA and Dusk Network
Assuming the 90 days trading horizon MONA is expected to under-perform the Dusk Network. But the crypto coin apears to be less risky and, when comparing its historical volatility, MONA is 1.55 times less risky than Dusk Network. The crypto coin trades about 0.0 of its potential returns per unit of risk. The Dusk Network is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 13.00 in Dusk Network on February 7, 2024 and sell it today you would earn a total of 21.00 from holding Dusk Network or generate 161.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MONA vs. Dusk Network
Performance |
Timeline |
MONA |
Dusk Network |
MONA and Dusk Network Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MONA and Dusk Network
The main advantage of trading using opposite MONA and Dusk Network positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MONA position performs unexpectedly, Dusk Network 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 Dusk Network will offset losses from the drop in Dusk Network's long position.The idea behind MONA and Dusk Network 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.Dusk Network vs. Solana | Dusk Network vs. XRP | Dusk Network vs. Staked Ether | Dusk Network 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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