Carnegie Clean (Germany) Market Value
| CNM1 Stock | EUR 0.02 0.0002 0.95% |
| Symbol | Carnegie |
Carnegie Clean '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 Carnegie Clean'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 Carnegie Clean.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in Carnegie Clean on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding Carnegie Clean Energy or generate 0.0% return on investment in Carnegie Clean over 30 days. Carnegie Clean is related to or competes with Superior Plus, SIVERS SEMICONDUCTORS, Norsk Hydro, Reliance Steel, RYOHIN UNSPADR1, Vanguard Funds, and Meli Hotels. Carnegie Clean Energy Limited develops and commercializes the CETO wave energy technology for zero-emission electricity ... More
Carnegie Clean 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 Carnegie Clean'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 Carnegie Clean Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.23 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 17.46 | |||
| Value At Risk | (3.67) | |||
| Potential Upside | 3.74 |
Carnegie Clean Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Carnegie Clean's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Carnegie Clean's standard deviation. In reality, there are many statistical measures that can use Carnegie Clean historical prices to predict the future Carnegie Clean's volatility.| Risk Adjusted Performance | 0.0328 | |||
| Jensen Alpha | 0.0636 | |||
| Total Risk Alpha | (0.28) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.4868 |
Carnegie Clean Energy Backtested Returns
At this point, Carnegie Clean is out of control. Carnegie Clean Energy secures Sharpe Ratio (or Efficiency) of 0.0421, which signifies that the company had a 0.0421% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Carnegie Clean Energy, which you can use to evaluate the volatility of the firm. Please confirm Carnegie Clean's Risk Adjusted Performance of 0.0328, mean deviation of 1.47, and Downside Deviation of 3.23 to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. Carnegie Clean has a performance score of 3 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.17, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Carnegie Clean's returns are expected to increase less than the market. However, during the bear market, the loss of holding Carnegie Clean is expected to be smaller as well. Carnegie Clean Energy right now shows a risk of 2.59%. Please confirm Carnegie Clean Energy sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to decide if Carnegie Clean Energy will be following its price patterns.
Auto-correlation | 0.34 |
Below average predictability
Carnegie Clean Energy has below average predictability. Overlapping area represents the amount of predictability between Carnegie Clean time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th 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 Carnegie Clean Energy price movement. The serial correlation of 0.34 indicates that nearly 34.0% of current Carnegie Clean price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.34 | |
| Spearman Rank Test | 0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Carnegie Clean Energy lagged returns against current returns
Autocorrelation, which is Carnegie Clean 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 Carnegie Clean's stock expected returns. We can calculate the autocorrelation of Carnegie Clean returns to help us make a trade decision. For example, suppose you find that Carnegie Clean 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 |
Carnegie Clean 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 Carnegie Clean stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Carnegie Clean stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Carnegie Clean stock over time.
Current vs Lagged Prices |
| Timeline |
Carnegie Clean Lagged Returns
When evaluating Carnegie Clean's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Carnegie Clean stock have on its future price. Carnegie Clean 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, Carnegie Clean autocorrelation shows the relationship between Carnegie Clean stock current value and its past values and can show if there is a momentum factor associated with investing in Carnegie Clean Energy.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Carnegie Stock
Carnegie Clean financial ratios help investors to determine whether Carnegie 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 Carnegie with respect to the benefits of owning Carnegie Clean security.