Gear Energy (Germany) Market Value
0GY Stock | EUR 0.31 0.01 3.33% |
Symbol | Gear |
Gear 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 Gear 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 Gear Energy.
01/08/2023 |
| 12/28/2024 |
If you would invest 0.00 in Gear Energy on January 8, 2023 and sell it all today you would earn a total of 0.00 from holding Gear Energy or generate 0.0% return on investment in Gear Energy over 720 days. Gear Energy is related to or competes with Broadwind, SBA Communications, TEXAS ROADHOUSE, GOLD ROAD, Gold Road, Gamma Communications, and TRAINLINE PLC. Gear Energy Ltd., an exploration and production company, acquires, develops, and holds interests in petroleum and natura... More
Gear 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 Gear 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 Gear Energy upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.07) | |||
Maximum Drawdown | 20.61 | |||
Value At Risk | (6.45) | |||
Potential Upside | 5.88 |
Gear Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gear Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gear Energy's standard deviation. In reality, there are many statistical measures that can use Gear Energy historical prices to predict the future Gear Energy's volatility.Risk Adjusted Performance | (0.04) | |||
Jensen Alpha | (0.24) | |||
Total Risk Alpha | (0.35) | |||
Treynor Ratio | 0.8474 |
Gear Energy Backtested Returns
Gear Energy holds Efficiency (Sharpe) Ratio of -0.0548, which attests that the entity had a -0.0548% return per unit of standard deviation over the last 3 months. Gear Energy exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gear Energy's market risk adjusted performance of 0.8574, and Risk Adjusted Performance of (0.04) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.29, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Gear Energy are expected to decrease at a much lower rate. During the bear market, Gear Energy is likely to outperform the market. At this point, Gear Energy has a negative expected return of -0.18%. Please make sure to check out Gear Energy's total risk alpha, potential upside, and the relationship between the standard deviation and maximum drawdown , to decide if Gear Energy performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.58 |
Modest predictability
Gear Energy has modest predictability. Overlapping area represents the amount of predictability between Gear Energy time series from 8th of January 2023 to 3rd of January 2024 and 3rd of January 2024 to 28th of December 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 Gear Energy price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Gear Energy price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.58 | |
Spearman Rank Test | 0.23 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Gear Energy lagged returns against current returns
Autocorrelation, which is Gear 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 Gear Energy's stock expected returns. We can calculate the autocorrelation of Gear Energy returns to help us make a trade decision. For example, suppose you find that Gear 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 |
Gear 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 Gear Energy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gear Energy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Gear Energy stock over time.
Current vs Lagged Prices |
Timeline |
Gear Energy Lagged Returns
When evaluating Gear Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gear Energy stock have on its future price. Gear 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, Gear Energy autocorrelation shows the relationship between Gear Energy stock current value and its past values and can show if there is a momentum factor associated with investing in Gear Energy.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Gear Stock
Gear Energy financial ratios help investors to determine whether Gear 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 Gear with respect to the benefits of owning Gear Energy security.