Greenpower Motor Stock Market Value
| GPV Stock | CAD 0.78 0.05 6.85% |
| Symbol | GreenPower |
GreenPower Motor Price To Book Ratio
GreenPower 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to GreenPower's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of GreenPower.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in GreenPower on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding GreenPower Motor or generate 0.0% return on investment in GreenPower over 90 days. GreenPower is related to or competes with NFI, Docebo, WELL Health, and Dye Durham. GreenPower Motor Company Inc. develops, manufactures, and distributes electric vehicles for commercial markets in the Un... More
GreenPower Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure GreenPower's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess GreenPower Motor upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 52.16 | |||
| Value At Risk | (9.21) | |||
| Potential Upside | 6.14 |
GreenPower Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GreenPower's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GreenPower's standard deviation. In reality, there are many statistical measures that can use GreenPower historical prices to predict the future GreenPower's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | 0.3331 | |||
| Treynor Ratio | (0.25) |
GreenPower Motor Backtested Returns
GreenPower Motor holds Efficiency (Sharpe) Ratio of -0.0642, which attests that the entity had a -0.0642 % return per unit of risk over the last 3 months. GreenPower Motor exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GreenPower's Standard Deviation of 6.51, risk adjusted performance of (0.05), and Market Risk Adjusted Performance of (0.24) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 1.91, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, GreenPower will likely underperform. At this point, GreenPower Motor has a negative expected return of -0.43%. Please make sure to check out GreenPower's total risk alpha and the relationship between the potential upside and market facilitation index , to decide if GreenPower Motor performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.27 |
Weak reverse predictability
GreenPower Motor has weak reverse predictability. Overlapping area represents the amount of predictability between GreenPower time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of GreenPower Motor price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current GreenPower price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
GreenPower Motor lagged returns against current returns
Autocorrelation, which is GreenPower stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting GreenPower's stock expected returns. We can calculate the autocorrelation of GreenPower returns to help us make a trade decision. For example, suppose you find that GreenPower has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
GreenPower regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If GreenPower stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GreenPower stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GreenPower stock over time.
Current vs Lagged Prices |
| Timeline |
GreenPower Lagged Returns
When evaluating GreenPower's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GreenPower stock have on its future price. GreenPower autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, GreenPower autocorrelation shows the relationship between GreenPower stock current value and its past values and can show if there is a momentum factor associated with investing in GreenPower Motor.
Regressed Prices |
| Timeline |
Thematic Opportunities
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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.