Amber Parrish - GreenPower HR Mang
| GP Stock | USD 0.84 0.02 2.44% |
Insider
Amber Parrish is HR Mang of GreenPower Motor
| Address | 209 Carrall Street, Vancouver, BC, Canada, V6B 2J2 |
| Phone | 604 563 4144 |
| Web | https://www.greenpowermotor.com |
GreenPower Management Efficiency
The company has Return on Asset (ROA) of (0.2458) % which means that for every 100 dollars spent on asset, it generated a loss of $0.2458. This is way below average. Likewise, it shows a return on total equity (ROE) of (1.2021) %, which implies that it produced no returns to current stockholders. GreenPower's management efficiency ratios could be used to measure how well GreenPower manages its routine affairs as well as how well it operates its assets and liabilities. As of 11/22/2024, Return On Tangible Assets is likely to drop to -0.43. In addition to that, Return On Capital Employed is likely to drop to -0.74. As of 11/22/2024, Liabilities And Stockholders Equity is likely to grow to about 47.4 M. Also, Total Current Liabilities is likely to grow to about 22.4 MSimilar Executives
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Management Performance
| Return On Equity | -1.2 | |||
| Return On Asset | -0.25 |
GreenPower Motor Leadership Team
Elected by the shareholders, the GreenPower's board of directors comprises two types of representatives: GreenPower inside directors who are chosen from within the company, and outside directors, selected externally and held independent of GreenPower. The board's role is to monitor GreenPower's management team and ensure that shareholders' interests are well served. GreenPower's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, GreenPower's outside directors are responsible for providing unbiased perspectives on the board's policies.
| Amber Parrish, HR Mang | ||
| Annette Billups, Director Resources | ||
| Taylor Freeland, Manager Resources | ||
| Brendan Riley, President Director | ||
| Michael Sieffert, CFO Secretary | ||
| Frank Zhang, Corporate Controller | ||
| Claus Tritt, Vice Sales | ||
| Yanyan Zhang, Vice Management | ||
| Michael Perez, Contracts Bus |
GreenPower Stock Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is GreenPower a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
| Return On Equity | -1.2 | |||
| Return On Asset | -0.25 | |||
| Profit Margin | (0.85) % | |||
| Operating Margin | (1.64) % | |||
| Current Valuation | 42.27 M | |||
| Shares Outstanding | 29.49 M | |||
| Shares Owned By Insiders | 22.35 % | |||
| Shares Owned By Institutions | 2.00 % | |||
| Number Of Shares Shorted | 194.51 K | |||
| Price To Book | 5.57 X |
Pair Trading with GreenPower
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 GreenPower 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 GreenPower will appreciate offsetting losses from the drop in the long position's value.Moving against GreenPower Stock
| 0.72 | SHYF | Shyft Group | PairCorr |
| 0.65 | ASTE | Astec Industries | PairCorr |
| 0.53 | OSK | Oshkosh | PairCorr |
| 0.51 | ALG | Alamo Group | PairCorr |
| 0.43 | REVG | Rev Group Fiscal Year End 11th of December 2024 | PairCorr |
The ability to find closely correlated positions to GreenPower could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GreenPower 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 GreenPower - 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 GreenPower Motor to buy it.
The correlation of GreenPower 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 GreenPower moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GreenPower Motor 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 GreenPower 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 GreenPower Stock Analysis
When running GreenPower's price analysis, check to measure GreenPower'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 GreenPower is operating at the current time. Most of GreenPower's value examination focuses on studying past and present price action to predict the probability of GreenPower's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GreenPower's price. Additionally, you may evaluate how the addition of GreenPower to your portfolios can decrease your overall portfolio volatility.