Carnegie Clean Energy Stock Market Value
| CWGYF Stock | USD 0.03 0 5.53% |
| 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 otc 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.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Carnegie Clean on November 1, 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 Constellation Energy, Orsted A/S, HUMANA, Barloworld, Thrivent High, Morningstar Unconstrained, and High-yield Municipal. Carnegie Clean Energy Limited develops and commercializes the CETO wave energy technology for converting ocean wave ener... 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 otc 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 | 9.51 | |||
| Information Ratio | 0.0288 | |||
| Maximum Drawdown | 60.72 | |||
| Value At Risk | (16.08) | |||
| Potential Upside | 13.48 |
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 | 0.0416 | |||
| Jensen Alpha | 0.3644 | |||
| Total Risk Alpha | (1.27) | |||
| Sortino Ratio | 0.0305 | |||
| Treynor Ratio | 0.9981 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Carnegie Clean's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Carnegie Clean Energy Backtested Returns
Carnegie Clean appears to be out of control, given 3 months investment horizon. Carnegie Clean Energy secures Sharpe Ratio (or Efficiency) of 0.0572, which signifies that the company had a 0.0572% return per unit of risk over the last 3 months. By analyzing Carnegie Clean's technical indicators, you can evaluate if the expected return of 0.58% is justified by implied risk. Please makes use of Carnegie Clean's Mean Deviation of 6.62, downside deviation of 9.51, and Risk Adjusted Performance of 0.0416 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Carnegie Clean holds a performance score of 4. The firm shows a Beta (market volatility) of 0.42, which signifies possible diversification benefits within a given portfolio. 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. Please check Carnegie Clean's maximum drawdown and the relationship between the expected short fall and period momentum indicator , to make a quick decision on whether Carnegie Clean's price patterns will revert.
Auto-correlation | 0.52 |
Modest predictability
Carnegie Clean Energy has modest predictability. Overlapping area represents the amount of predictability between Carnegie Clean time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 0.52 indicates that about 52.0% of current Carnegie Clean price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | -0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Carnegie Clean Energy lagged returns against current returns
Autocorrelation, which is Carnegie Clean otc 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 otc 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 otc 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 otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Carnegie Clean otc 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 otc 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 otc 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 otc 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 OTC Stock
Carnegie Clean financial ratios help investors to determine whether Carnegie OTC 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.