Correlation Between MLN and AGVC

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

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

Diversification Opportunities for MLN and AGVC

-0.2

Correlation Coefficient

MLN  AGVC

Good diversification

The 3 months correlation between MLN and AGVC is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding MLN and AGVC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AGVC 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 AGVC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AGVC has no effect on the direction of MLN i.e., MLN and AGVC go up and down completely randomly.

Pair Corralation between MLN and AGVC

If you would invest  1,502  in MLN on September 1, 2024 and sell it today you would earn a total of  351.00  from holding MLN or generate 23.37% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	1.54%
Values	Daily Returns

MLN  vs.  AGVC

MLN

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in MLN are ranked lower than 8 (%) 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.

AGVC

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days AGVC has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, AGVC is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with MLN and AGVC

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

The idea behind MLN and AGVC 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.

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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.