Allianz Clean (Germany) Market Value
| 0P0001KV2H | 138.17 0.01 0.01% |
| Symbol | Allianz |
Allianz 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 Allianz Clean's fund 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 Allianz Clean.
| 12/08/2024 |
| 01/07/2025 |
If you would invest 0.00 in Allianz Clean on December 8, 2024 and sell it all today you would earn a total of 0.00 from holding Allianz Clean Planet or generate 0.0% return on investment in Allianz Clean over 30 days.
Allianz 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 Allianz Clean's fund 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 Allianz Clean Planet upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 5.06 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.42 |
Allianz Clean Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Allianz Clean's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Allianz Clean's standard deviation. In reality, there are many statistical measures that can use Allianz Clean historical prices to predict the future Allianz Clean's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | (1.18) |
Allianz Clean Planet Backtested Returns
Allianz Clean Planet secures Sharpe Ratio (or Efficiency) of -0.0246, which signifies that the fund had a -0.0246% return per unit of risk over the last 3 months. Allianz Clean Planet exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Allianz Clean's Standard Deviation of 0.9018, risk adjusted performance of (0.02), and Mean Deviation of 0.6567 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.0265, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Allianz Clean's returns are expected to increase less than the market. However, during the bear market, the loss of holding Allianz Clean is expected to be smaller as well.
Auto-correlation | -0.65 |
Very good reverse predictability
Allianz Clean Planet has very good reverse predictability. Overlapping area represents the amount of predictability between Allianz Clean time series from 8th of December 2024 to 23rd of December 2024 and 23rd of December 2024 to 7th of January 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 Allianz Clean Planet price movement. The serial correlation of -0.65 indicates that roughly 65.0% of current Allianz Clean price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.65 | |
| Spearman Rank Test | -0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.82 |
Allianz Clean Planet lagged returns against current returns
Autocorrelation, which is Allianz Clean fund'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 Allianz Clean's fund expected returns. We can calculate the autocorrelation of Allianz Clean returns to help us make a trade decision. For example, suppose you find that Allianz Clean has exhibited high autocorrelation historically, and you observe that the fund 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 |
Allianz 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 Allianz Clean fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Allianz Clean fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Allianz Clean fund over time.
Current vs Lagged Prices |
| Timeline |
Allianz Clean Lagged Returns
When evaluating Allianz Clean's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Allianz Clean fund have on its future price. Allianz 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, Allianz Clean autocorrelation shows the relationship between Allianz Clean fund current value and its past values and can show if there is a momentum factor associated with investing in Allianz Clean Planet.
Regressed Prices |
| Timeline |
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