NET Power Correlations

NPWR Stock

2.62 0.00 0.00%

The current 90-days correlation between NET Power and Park Ohio Holdings is -0.05 (i.e., Good diversification). The correlation of NET Power is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.

NET Power Correlation With Market

Good diversification

The correlation between NET Power and DJI is -0.02 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding NET Power and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with NET Stock

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in NET Power. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in services.

To learn how to invest in NET Stock, please use our How to Invest in NET Power guide.

Moving together with NET Stock

0.66	HY	Hyster Yale Materials	Pair Corr
0.64	WATR	Current Water Techno	Pair Corr
0.75	ERII	Energy Recovery	Pair Corr
0.73	EML	Eastern	Pair Corr
0.79	NVX	Novonix Ltd ADR	Pair Corr
0.73	PNR	Pentair PLC	Pair Corr
0.79	GENC	Gencor Industries	Pair Corr
0.8	603109	Senci Electric Machinery	Pair Corr
0.81	HYFM	Hydrofarm Holdings	Pair Corr
0.75	605259	Lutian Machinery	Pair Corr
0.65	002786	Shenzhen Silver Basis	Pair Corr
0.78	002021	Zoje Resources Investment	Pair Corr
0.66	FLO	Flowtech Fluidpower plc	Pair Corr
0.83	KITT	Nauticus Robotics Buyout Trend	Pair Corr
0.7	300976	Dongguan Tarry Elect	Pair Corr

Moving against NET Stock

0.8	DOV	Dover	Pair Corr
0.7	RFG	Roebuck Food Group	Pair Corr
0.58	688028	Beijing Worldia Diamond	Pair Corr
0.48	600765	AVIC Heavy Machinery	Pair Corr
0.64	PRV	Porvair plc	Pair Corr
0.35	000821	JS Corrugating Machinery	Pair Corr
0.79	NVRI	Enviri Sell-off Trend	Pair Corr
0.72	605117	Ningbo Deye Technology	Pair Corr
0.68	300385	Wuxi Xuelang Environ	Pair Corr
0.63	605060	Allied Machinery	Pair Corr
0.62	600499	Keda Clean Energy	Pair Corr
0.39	MGAM	Morgan Advanced Materials	Pair Corr

Related Correlations Analysis

	PKOH	BNC	OFLX	CMDB	LXFR	WNC	MAGN	SHMD	FLYX	MG
PKOH		0.03	0.71	0.59	0.76	0.84	0.76	0.44	0.24	0.48	PKOH
BNC	0.03		0.17	-0.2	0.18	0.22	-0.09	-0.48	0.05	-0.63	BNC
OFLX	0.71	0.17		0.2	0.89	0.86	0.55	0.54	0.54	0.37	OFLX
CMDB	0.59	-0.2	0.2		0.3	0.42	0.87	0.3	-0.03	0.57	CMDB
LXFR	0.76	0.18	0.89	0.3		0.86	0.67	0.55	0.44	0.43	LXFR
WNC	0.84	0.22	0.86	0.42	0.86		0.67	0.4	0.37	0.31	WNC
MAGN	0.76	-0.09	0.55	0.87	0.67	0.67		0.52	0.15	0.66	MAGN
SHMD	0.44	-0.48	0.54	0.3	0.55	0.4	0.52		0.44	0.77	SHMD
FLYX	0.24	0.05	0.54	-0.03	0.44	0.37	0.15	0.44		0.08	FLYX
MG	0.48	-0.63	0.37	0.57	0.43	0.31	0.66	0.77	0.08		MG
	PKOH	BNC	OFLX	CMDB	LXFR	WNC	MAGN	SHMD	FLYX	MG

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

LXFR	+ 0.89	OFLX
MAGN	+ 0.87	CMDB
WNC	+ 0.86	OFLX
WNC	+ 0.86	LXFR
WNC	+ 0.84	PKOH
MG	+ 0.77	SHMD

High negative correlations

MG	- 0.63	BNC
SHMD	- 0.48	BNC
CMDB	- 0.2	BNC
MAGN	- 0.09	BNC
FLYX	- 0.03	CMDB

Risk-Adjusted Indicators

There is a big difference between NET Stock performing well and NET Power Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze NET Power's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
PKOH	1.83	0.12	0.07	0.19	2.35	(2.01)	3.63	(3.60)	14.74
BNC	4.33	(0.79)	0.00	(0.15)	0.00	0.00	9.58	(10.14)	35.96
OFLX	1.64	0.05	0.04	0.15	1.72	(1.94)	3.87	(2.79)	11.55
CMDB	1.74	0.15	0.05	0.40	1.83	(2.06)	2.63	(3.56)	15.86
LXFR	1.33	0.17	0.09	0.27	1.56	(1.41)	2.90	(2.65)	10.48
WNC	2.20	0.21	0.07	0.55	1.98	(2.87)	5.40	(3.47)	13.71
MAGN	3.22	0.56	0.18	0.43	3.01	(3.70)	8.35	(5.75)	33.92
SHMD	6.99	1.50	0.26	0.46	6.19	(8.38)	19.76	(10.85)	48.92
FLYX	7.63	0.37	0.10	0.18	7.67	(11.41)	11.96	(11.89)	161.87
MG	2.14	0.48	0.29	0.40	1.51	(2.69)	4.20	(2.81)	27.65

NET Power Corporate Management

Bruce Jenkins	Chief Staff	Profile
Mark Lennon	Chief Officer	Profile
Akash Patel	Chief Officer	Profile
Caleb Dolah	Controller Officer	Profile
Marc Horstman	Chief Officer	Profile
James Mahon	General Counsel	Profile

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