Correlation Between MaxLinear and Acm Research

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

By analyzing existing cross correlation between MaxLinear and Acm Research, you can compare the effects of market volatilities on MaxLinear and Acm Research 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 MaxLinear with a short position of Acm Research. Check out your portfolio center. Please also check ongoing floating volatility patterns of MaxLinear and Acm Research.

Diversification Opportunities for MaxLinear and Acm Research

-0.79

Correlation Coefficient

MaxLinear  Acm Research

Pay attention - limited upside

The 3 months correlation between MaxLinear and Acm is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding MaxLinear and Acm Research in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Acm Research and MaxLinear 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 MaxLinear are associated (or correlated) with Acm Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Acm Research has no effect on the direction of MaxLinear i.e., MaxLinear and Acm Research go up and down completely randomly.

Pair Corralation between MaxLinear and Acm Research

Considering the 90-day investment horizon MaxLinear is expected to generate 1.01 times more return on investment than Acm Research. However, MaxLinear is 1.01 times more volatile than Acm Research. It trades about 0.11 of its potential returns per unit of risk. Acm Research is currently generating about -0.06 per unit of risk. If you would invest  1,530  in MaxLinear on September 26, 2024 and sell it today you would earn a total of  448.00  from holding MaxLinear or generate 29.28% return on investment over 90 days.

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

MaxLinear  vs.  Acm Research

MaxLinear

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in MaxLinear are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. Despite quite weak basic indicators, MaxLinear disclosed solid returns over the last few months and may actually be approaching a breakup point.

Acm Research

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Acm Research has generated negative risk-adjusted returns adding no value to investors with long positions. Even with weak performance in the last few months, the Stock's primary indicators remain relatively invariable which may send shares a bit higher in January 2025. The latest agitation may also be a sign of long-running up-swing for the enterprise retail investors.

Pair Trading with MaxLinear and Acm Research

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

The idea behind MaxLinear and Acm Research 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.