NET Other Liab vs Inventory Analysis
| NPWR Stock | 9.91 0.08 0.80% |
NET Power financial indicator trend analysis is infinitely more than just investigating NET Power recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether NET Power is a good investment. Please check the relationship between NET Power Other Liab and its Inventory accounts. 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 housing. To learn how to invest in NET Stock, please use our How to Invest in NET Power guide.
Other Liab vs Inventory
Other Liab vs Inventory Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of NET Power Other Liab account and Inventory. At this time, the significance of the direction appears to have pay attention.
The correlation between NET Power's Other Liab and Inventory is -0.96. Overlapping area represents the amount of variation of Other Liab that can explain the historical movement of Inventory in the same time period over historical financial statements of NET Power, assuming nothing else is changed. The correlation between historical values of NET Power's Other Liab and Inventory is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Other Liab of NET Power are associated (or correlated) with its Inventory. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Inventory has no effect on the direction of Other Liab i.e., NET Power's Other Liab and Inventory go up and down completely randomly.
Correlation Coefficient | -0.96 |
| Relationship Direction | Negative |
| Relationship Strength | Significant |
Other Liab
Inventory
Most indicators from NET Power's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into NET Power current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. 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 housing. To learn how to invest in NET Stock, please use our How to Invest in NET Power guide.At this time, NET Power's Enterprise Value Over EBITDA is relatively stable compared to the past year. As of 12/17/2024, Enterprise Value Multiple is likely to grow to 0.95, while Selling General Administrative is likely to drop slightly above 20.3 M.
| 2021 | 2022 | 2023 | 2024 (projected) | Total Operating Expenses | 697.1K | 5.9M | 97.9M | 102.8M | Cost Of Revenue | 829K | 13.7M | 50.8M | 53.4M |
NET Power fundamental ratios Correlations
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NET Power Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Pair Trading with NET Power
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if NET Power position performs unexpectedly, the other equity 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 appreciate offsetting losses from the drop in the long position's value.Moving together with NET Stock
Moving against NET Stock
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| 0.54 | MKDWW | MKDWELL Tech Warrants | PairCorr |
| 0.42 | RR | Richtech Robotics Class | PairCorr |
The ability to find closely correlated positions to NET Power could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NET Power when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back NET Power - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling NET Power to buy it.
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 perfect positive correlation (i.e., a correlation coefficient of +1) implies that as NET Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if NET Power moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for NET Power can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for NET Stock Analysis
When running NET Power's price analysis, check to measure NET Power's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy NET Power is operating at the current time. Most of NET Power's value examination focuses on studying past and present price action to predict the probability of NET Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NET Power's price. Additionally, you may evaluate how the addition of NET Power to your portfolios can decrease your overall portfolio volatility.