Clean Carbon (Poland) Market Value
| CCE Stock | 0.25 0.02 7.41% |
| Symbol | Clean |
Clean Carbon '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 Clean Carbon'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 Clean Carbon.
| 11/24/2024 |
| 12/24/2024 |
If you would invest 0.00 in Clean Carbon on November 24, 2024 and sell it all today you would earn a total of 0.00 from holding Clean Carbon Energy or generate 0.0% return on investment in Clean Carbon over 30 days. Clean Carbon is related to or competes with Centrum Finansowe, Dino Polska, Asseco Poland, Intersport Polska, CEZ As, and X Trade. More
Clean Carbon 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 Clean Carbon'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 Clean Carbon Energy upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 27.38 | |||
| Value At Risk | (9.68) | |||
| Potential Upside | 10.71 |
Clean Carbon Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clean Carbon's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clean Carbon's standard deviation. In reality, there are many statistical measures that can use Clean Carbon historical prices to predict the future Clean Carbon's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.51) | |||
| Total Risk Alpha | (0.65) | |||
| Treynor Ratio | (0.67) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Clean Carbon'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.
Clean Carbon Energy Backtested Returns
Clean Carbon Energy secures Sharpe Ratio (or Efficiency) of -0.0743, which signifies that the company had a -0.0743% return per unit of standard deviation over the last 3 months. Clean Carbon Energy exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Clean Carbon's risk adjusted performance of (0.06), and Mean Deviation of 3.43 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.73, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Clean Carbon's returns are expected to increase less than the market. However, during the bear market, the loss of holding Clean Carbon is expected to be smaller as well. At this point, Clean Carbon Energy has a negative expected return of -0.43%. Please make sure to confirm Clean Carbon's variance and the relationship between the treynor ratio and price action indicator , to decide if Clean Carbon Energy performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.15 |
Insignificant predictability
Clean Carbon Energy has insignificant predictability. Overlapping area represents the amount of predictability between Clean Carbon time series from 24th of November 2024 to 9th of December 2024 and 9th of December 2024 to 24th 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 Clean Carbon Energy price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Clean Carbon price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Clean Carbon Energy lagged returns against current returns
Autocorrelation, which is Clean Carbon 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 Clean Carbon's stock expected returns. We can calculate the autocorrelation of Clean Carbon returns to help us make a trade decision. For example, suppose you find that Clean Carbon 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 |
Clean Carbon 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 Clean Carbon stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clean Carbon stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clean Carbon stock over time.
Current vs Lagged Prices |
| Timeline |
Clean Carbon Lagged Returns
When evaluating Clean Carbon's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clean Carbon stock have on its future price. Clean Carbon 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, Clean Carbon autocorrelation shows the relationship between Clean Carbon stock current value and its past values and can show if there is a momentum factor associated with investing in Clean Carbon Energy.
Regressed Prices |
| Timeline |
Pair Trading with Clean Carbon
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 Clean Carbon 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 Clean Carbon will appreciate offsetting losses from the drop in the long position's value.Moving together with Clean Stock
Moving against Clean Stock
| 0.72 | CEZ | CEZ as | PairCorr |
| 0.69 | XTB | X Trade Brokers | PairCorr |
| 0.61 | BTK | Biztech Konsulting | PairCorr |
| 0.6 | DNP | Dino Polska SA | PairCorr |
| 0.56 | PZU | Powszechny Zaklad | PairCorr |
The ability to find closely correlated positions to Clean Carbon could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Clean Carbon 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 Clean Carbon - 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 Clean Carbon Energy to buy it.
The correlation of Clean Carbon 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 Clean Carbon moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Clean Carbon Energy 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 Clean Carbon 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.Additional Tools for Clean Stock Analysis
When running Clean Carbon's price analysis, check to measure Clean Carbon's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Clean Carbon is operating at the current time. Most of Clean Carbon's value examination focuses on studying past and present price action to predict the probability of Clean Carbon's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Clean Carbon's price. Additionally, you may evaluate how the addition of Clean Carbon to your portfolios can decrease your overall portfolio volatility.