CECE Composite (Austria) Market Value
| CECEEUR Index | 2,764 11.60 0.42% |
| Symbol | CECE |
CECE Composite '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 CECE Composite's index 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 CECE Composite.
| 05/15/2025 |
| 08/13/2025 |
If you would invest 0.00 in CECE Composite on May 15, 2025 and sell it all today you would earn a total of 0.00 from holding CECE Composite EUR or generate 0.0% return on investment in CECE Composite over 90 days.
CECE Composite 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 CECE Composite's index 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 CECE Composite EUR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.754 | |||
| Information Ratio | 0.0362 | |||
| Maximum Drawdown | 4.18 | |||
| Value At Risk | (1.13) | |||
| Potential Upside | 1.53 |
CECE Composite Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CECE Composite's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CECE Composite's standard deviation. In reality, there are many statistical measures that can use CECE Composite historical prices to predict the future CECE Composite's volatility.| Risk Adjusted Performance | 0.129 | |||
| Total Risk Alpha | 0.0189 | |||
| Sortino Ratio | 0.0426 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CECE Composite'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.
CECE Composite EUR Backtested Returns
CECE Composite EUR retains Efficiency (Sharpe Ratio) of 0.16, which signifies that the index had a 0.16 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for CECE Composite, which you can use to evaluate the volatility of the entity. The index owns a Beta (Systematic Risk) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and CECE Composite are completely uncorrelated.
Auto-correlation | 0.13 |
Insignificant predictability
CECE Composite EUR has insignificant predictability. Overlapping area represents the amount of predictability between CECE Composite time series from 15th of May 2025 to 29th of June 2025 and 29th of June 2025 to 13th of August 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of CECE Composite EUR price movement. The serial correlation of 0.13 indicates that less than 13.0% of current CECE Composite price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 4252.91 |
CECE Composite EUR lagged returns against current returns
Autocorrelation, which is CECE Composite index'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 CECE Composite's index expected returns. We can calculate the autocorrelation of CECE Composite returns to help us make a trade decision. For example, suppose you find that CECE Composite has exhibited high autocorrelation historically, and you observe that the index 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 |
CECE Composite 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 CECE Composite index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CECE Composite index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CECE Composite index over time.
Current vs Lagged Prices |
| Timeline |
CECE Composite Lagged Returns
When evaluating CECE Composite's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CECE Composite index have on its future price. CECE Composite 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, CECE Composite autocorrelation shows the relationship between CECE Composite index current value and its past values and can show if there is a momentum factor associated with investing in CECE Composite EUR.
Regressed Prices |
| Timeline |