Correlation Between Lam Research and Check Point

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

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

Diversification Opportunities for Lam Research and Check Point

0.64

Correlation Coefficient

Lam Research  Check Point

Poor diversification

The 3 months correlation between Lam and Check is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Lam Research and Check Point Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Check Point Software and Lam Research 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 Lam Research are associated (or correlated) with Check Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Check Point Software has no effect on the direction of Lam Research i.e., Lam Research and Check Point go up and down completely randomly.

Pair Corralation between Lam Research and Check Point

Assuming the 90 days trading horizon Lam Research is expected to generate 2.59 times less return on investment than Check Point. In addition to that, Lam Research is 1.28 times more volatile than Check Point Software. It trades about 0.06 of its total potential returns per unit of risk. Check Point Software is currently generating about 0.2 per unit of volatility. If you would invest  45,135  in Check Point Software on October 27, 2024 and sell it today you would earn a total of  13,139  from holding Check Point Software or generate 29.11% return on investment over 90 days.

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

Lam Research  vs.  Check Point Software

Lam Research

Risk-Adjusted Performance

4 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Lam Research are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite somewhat uncertain basic indicators, Lam Research may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Check Point Software

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Check Point Software are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak technical indicators, Check Point sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Lam Research and Check Point

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

The idea behind Lam Research and Check Point Software 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 CEOs Directory module to screen CEOs from public companies around the world.