Correlation Between MLN and Bitcoin Cash
Can any of the company-specific risk be diversified away by investing in both MLN and Bitcoin Cash 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 MLN and Bitcoin Cash into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MLN and Bitcoin Cash, you can compare the effects of market volatilities on MLN and Bitcoin Cash 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 MLN with a short position of Bitcoin Cash. Check out your portfolio center. Please also check ongoing floating volatility patterns of MLN and Bitcoin Cash.
Diversification Opportunities for MLN and Bitcoin Cash
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between MLN and Bitcoin is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding MLN and Bitcoin Cash in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitcoin Cash and MLN 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 MLN are associated (or correlated) with Bitcoin Cash. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitcoin Cash has no effect on the direction of MLN i.e., MLN and Bitcoin Cash go up and down completely randomly.
Pair Corralation between MLN and Bitcoin Cash
Assuming the 90 days trading horizon MLN is expected to under-perform the Bitcoin Cash. But the crypto coin apears to be less risky and, when comparing its historical volatility, MLN is 1.25 times less risky than Bitcoin Cash. The crypto coin trades about -0.26 of its potential returns per unit of risk. The Bitcoin Cash is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 43,367 in Bitcoin Cash on December 29, 2024 and sell it today you would lose (12,629) from holding Bitcoin Cash or give up 29.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
MLN vs. Bitcoin Cash
Performance |
Timeline |
MLN |
Bitcoin Cash |
MLN and Bitcoin Cash Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MLN and Bitcoin Cash
The main advantage of trading using opposite MLN and Bitcoin Cash positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MLN position performs unexpectedly, Bitcoin Cash 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 Bitcoin Cash will offset losses from the drop in Bitcoin Cash's long position.The idea behind MLN and Bitcoin Cash 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.Bitcoin Cash vs. Bitcoin Gold | Bitcoin Cash vs. Bitcoin SV | Bitcoin Cash vs. Staked Ether | Bitcoin Cash vs. Phala 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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