Correlation Between MLN and EOSDAC

Can any of the company-specific risk be diversified away by investing in both MLN and EOSDAC 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 EOSDAC into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between MLN and EOSDAC, you can compare the effects of market volatilities on MLN and EOSDAC 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 EOSDAC. Check out your portfolio center. Please also check ongoing floating volatility patterns of MLN and EOSDAC.

Diversification Opportunities for MLN and EOSDAC

-0.32

Correlation Coefficient

MLN  EOSDAC

Very good diversification

The 3 months correlation between MLN and EOSDAC is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding MLN and EOSDAC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EOSDAC 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 EOSDAC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EOSDAC has no effect on the direction of MLN i.e., MLN and EOSDAC go up and down completely randomly.

Pair Corralation between MLN and EOSDAC

Assuming the 90 days trading horizon MLN is expected to generate 45.74 times less return on investment than EOSDAC. But when comparing it to its historical volatility, MLN is 6.03 times less risky than EOSDAC. It trades about 0.01 of its potential returns per unit of risk. EOSDAC is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest  0.03  in EOSDAC on February 7, 2024 and sell it today you would earn a total of  0.02  from holding EOSDAC or generate 64.69% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

MLN  vs.  EOSDAC

MLN

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in MLN are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, MLN exhibited solid returns over the last few months and may actually be approaching a breakup point.

EOSDAC

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in EOSDAC are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unsteady basic indicators, EOSDAC sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with MLN and EOSDAC

The main advantage of trading using opposite MLN and EOSDAC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MLN position performs unexpectedly, EOSDAC 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 EOSDAC will offset losses from the drop in EOSDAC's long position.

The idea behind MLN and EOSDAC 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.

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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.