Green Energy Resources Stock Market Value
Green Energy's market value is the price at which a share of Green Energy trades on a public exchange. It measures the collective expectations of Green Energy Resources investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Green Energy Resources and determine expected loss or profit from investing in Green Energy over a given investment horizon. Check out Green Energy Correlation, Green Energy Volatility and Green Energy Alpha and Beta module to complement your research on Green Energy.
| Symbol | Green |
Is Stock space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Green Energy. If investors know Green will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Green Energy listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Green Energy Resources is measured differently than its book value, which is the value of Green that is recorded on the company's balance sheet. Investors also form their own opinion of Green Energy's value that differs from its market value or its book value, called intrinsic value, which is Green Energy's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Green Energy's market value can be influenced by many factors that don't directly affect Green Energy's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Green Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Green Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Green Energy's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Green Energy '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 Green Energy'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 Green Energy.
| 01/08/2025 |
| 02/07/2025 |
If you would invest 0.00 in Green Energy on January 8, 2025 and sell it all today you would earn a total of 0.00 from holding Green Energy Resources or generate 0.0% return on investment in Green Energy over 30 days. Green Energy is related to or competes with BRC, Willamette Valley, Universal, Fevertree Drinks, Celsius Holdings, Vita Coco, and Compania Cervecerias. Green Energy Resources, Inc., a green bio-energy supply company, supplies wood biomass to utilities and the power genera... More
Green Energy 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 Green Energy'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 Green Energy Resources upside and downside potential and time the market with a certain degree of confidence.
Green Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Green Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Green Energy's standard deviation. In reality, there are many statistical measures that can use Green Energy historical prices to predict the future Green Energy's volatility.Green Energy Resources Backtested Returns
We have found zero technical indicators for Green Energy Resources, which you can use to evaluate the volatility of the firm. The company retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and Green Energy are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Green Energy Resources has no correlation between past and present. Overlapping area represents the amount of predictability between Green Energy time series from 8th of January 2025 to 23rd of January 2025 and 23rd of January 2025 to 7th of February 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 Green Energy Resources price movement. The serial correlation of 0.0 indicates that just 0.0% of current Green Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Green Energy Resources lagged returns against current returns
Autocorrelation, which is Green Energy 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 Green Energy's stock expected returns. We can calculate the autocorrelation of Green Energy returns to help us make a trade decision. For example, suppose you find that Green Energy 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 |
Green Energy 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 Green Energy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Green Energy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Green Energy stock over time.
Current vs Lagged Prices |
| Timeline |
Green Energy Lagged Returns
When evaluating Green Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Green Energy stock have on its future price. Green Energy 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, Green Energy autocorrelation shows the relationship between Green Energy stock current value and its past values and can show if there is a momentum factor associated with investing in Green Energy Resources.
Regressed Prices |
| Timeline |
Pair Trading with Green Energy
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 Green Energy 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 Green Energy will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Green Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Green Energy 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 Green Energy - 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 Green Energy Resources to buy it.
The correlation of Green Energy 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 Green Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Green Energy Resources 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 Green Energy 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 Green Stock Analysis
When running Green Energy's price analysis, check to measure Green Energy'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 Green Energy is operating at the current time. Most of Green Energy's value examination focuses on studying past and present price action to predict the probability of Green Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Green Energy's price. Additionally, you may evaluate how the addition of Green Energy to your portfolios can decrease your overall portfolio volatility.