Correlation Between Getty Realty and NET Power

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

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

Diversification Opportunities for Getty Realty and NET Power

0.67

Correlation Coefficient

Getty Realty  NET Power

Poor diversification

The 3 months correlation between Getty and NET is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Getty Realty and NET Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NET Power and Getty Realty 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 Getty Realty are associated (or correlated) with NET Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NET Power has no effect on the direction of Getty Realty i.e., Getty Realty and NET Power go up and down completely randomly.

Pair Corralation between Getty Realty and NET Power

Considering the 90-day investment horizon Getty Realty is expected to generate 0.28 times more return on investment than NET Power. However, Getty Realty is 3.62 times less risky than NET Power. It trades about -0.23 of its potential returns per unit of risk. NET Power is currently generating about -0.33 per unit of risk. If you would invest  3,281  in Getty Realty on September 20, 2024 and sell it today you would lose (162.00) from holding Getty Realty or give up 4.94% of portfolio value over 90 days.

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

Getty Realty  vs.  NET Power

Getty Realty

Risk-Adjusted Performance

0 of 100

Weak

Over the last 90 days Getty Realty has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly strong basic indicators, Getty Realty is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

NET Power

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in NET Power are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Even with relatively unsteady basic indicators, NET Power reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Getty Realty and NET Power

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

The idea behind Getty Realty and NET Power 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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.