GreenMobility (Denmark) Market Value
| GREENM Stock | DKK 31.20 0.40 1.30% |
| Symbol | GreenMobility |
GreenMobility '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 GreenMobility'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 GreenMobility.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in GreenMobility on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding GreenMobility AS or generate 0.0% return on investment in GreenMobility over 30 days. GreenMobility is related to or competes with Bavarian Nordic, LUXOR-B, CBrain AS, Fast Ejendom, PF Atlantic, HusCompagniet, and Gabriel Holding. Green Mobility AS provides transport in the form of electric, shared city cars through the GreenMobility app in Denmark ... More
GreenMobility 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 GreenMobility'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 GreenMobility AS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.88 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 18.74 | |||
| Value At Risk | (3.69) | |||
| Potential Upside | 4.55 |
GreenMobility Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GreenMobility's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GreenMobility's standard deviation. In reality, there are many statistical measures that can use GreenMobility historical prices to predict the future GreenMobility's volatility.| Risk Adjusted Performance | 0.0235 | |||
| Jensen Alpha | 0.0676 | |||
| Total Risk Alpha | (0.45) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.50) |
GreenMobility AS Backtested Returns
At this point, GreenMobility is not too volatile. GreenMobility AS holds Efficiency (Sharpe) Ratio of 0.0145, which attests that the entity had a 0.0145% return per unit of risk over the last 3 months. We have found thirty technical indicators for GreenMobility AS, which you can use to evaluate the volatility of the firm. Please check out GreenMobility's Risk Adjusted Performance of 0.0235, market risk adjusted performance of (0.49), and Downside Deviation of 2.88 to validate if the risk estimate we provide is consistent with the expected return of 0.0442%. GreenMobility has a performance score of 1 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of -0.11, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning GreenMobility are expected to decrease at a much lower rate. During the bear market, GreenMobility is likely to outperform the market. GreenMobility AS right now retains a risk of 3.04%. Please check out GreenMobility downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to decide if GreenMobility will be following its current trending patterns.
Auto-correlation | -0.24 |
Weak reverse predictability
GreenMobility AS has weak reverse predictability. Overlapping area represents the amount of predictability between GreenMobility time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of GreenMobility AS price movement. The serial correlation of -0.24 indicates that over 24.0% of current GreenMobility price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | -0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 1.93 |
GreenMobility AS lagged returns against current returns
Autocorrelation, which is GreenMobility 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 GreenMobility's stock expected returns. We can calculate the autocorrelation of GreenMobility returns to help us make a trade decision. For example, suppose you find that GreenMobility 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 |
GreenMobility 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 GreenMobility stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GreenMobility stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GreenMobility stock over time.
Current vs Lagged Prices |
| Timeline |
GreenMobility Lagged Returns
When evaluating GreenMobility's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GreenMobility stock have on its future price. GreenMobility 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, GreenMobility autocorrelation shows the relationship between GreenMobility stock current value and its past values and can show if there is a momentum factor associated with investing in GreenMobility AS.
Regressed Prices |
| Timeline |
Pair Trading with GreenMobility
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 GreenMobility 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 GreenMobility will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to GreenMobility could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GreenMobility 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 GreenMobility - 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 GreenMobility AS to buy it.
The correlation of GreenMobility 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 GreenMobility moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GreenMobility AS 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 GreenMobility 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.Other Information on Investing in GreenMobility Stock
GreenMobility financial ratios help investors to determine whether GreenMobility Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in GreenMobility with respect to the benefits of owning GreenMobility security.