ITM Power (Germany) Market Value
| IJ8 Stock | EUR 0.39 0.02 4.88% |
| Symbol | ITM |
ITM Power '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 ITM Power'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 ITM Power.
| 02/27/2024 |
| 11/23/2024 |
If you would invest 0.00 in ITM Power on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding ITM Power Plc or generate 0.0% return on investment in ITM Power over 270 days. ITM Power is related to or competes with Amphenol, Hon Hai, Samsung SDI, Corning Incorporated, Mitsubishi Electric, and Sunny Optical. ITM Power Plc designs, manufactures, and sells hydrogen energy systems for energy storage, transportation, and industria... More
ITM Power 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 ITM Power'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 ITM Power Plc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 17.22 | |||
| Value At Risk | (6.00) | |||
| Potential Upside | 6.52 |
ITM Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ITM Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ITM Power's standard deviation. In reality, there are many statistical measures that can use ITM Power historical prices to predict the future ITM Power's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.54) | |||
| Total Risk Alpha | (1.16) | |||
| Treynor Ratio | 2.51 |
ITM Power Plc Backtested Returns
ITM Power Plc holds Efficiency (Sharpe) Ratio of -0.15, which attests that the entity had a -0.15% return per unit of volatility over the last 3 months. ITM Power Plc exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out ITM Power's market risk adjusted performance of 2.52, and Risk Adjusted Performance of (0.11) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.23, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ITM Power are expected to decrease at a much lower rate. During the bear market, ITM Power is likely to outperform the market. At this point, ITM Power Plc has a negative expected return of -0.56%. Please make sure to check out ITM Power's maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to decide if ITM Power Plc performance from the past will be repeated at future time.
Auto-correlation | 0.06 |
Virtually no predictability
ITM Power Plc has virtually no predictability. Overlapping area represents the amount of predictability between ITM Power time series from 27th of February 2024 to 11th of July 2024 and 11th of July 2024 to 23rd 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 ITM Power Plc price movement. The serial correlation of 0.06 indicates that barely 6.0% of current ITM Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
ITM Power Plc lagged returns against current returns
Autocorrelation, which is ITM Power 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 ITM Power's stock expected returns. We can calculate the autocorrelation of ITM Power returns to help us make a trade decision. For example, suppose you find that ITM Power 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 |
ITM Power 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 ITM Power stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ITM Power stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ITM Power stock over time.
Current vs Lagged Prices |
| Timeline |
ITM Power Lagged Returns
When evaluating ITM Power's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ITM Power stock have on its future price. ITM Power 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, ITM Power autocorrelation shows the relationship between ITM Power stock current value and its past values and can show if there is a momentum factor associated with investing in ITM Power Plc.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in ITM Stock
ITM Power financial ratios help investors to determine whether ITM 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 ITM with respect to the benefits of owning ITM Power security.