ALM ES (Germany) Market Value
| 0P0001NBQF | 127.83 0.07 0.05% |
| Symbol | ALM |
ALM ES '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 ALM ES'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 ALM ES.
| 11/09/2024 |
| 01/08/2025 |
If you would invest 0.00 in ALM ES on November 9, 2024 and sell it all today you would earn a total of 0.00 from holding ALM ES Actions or generate 0.0% return on investment in ALM ES over 60 days.
ALM ES 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 ALM ES'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 ALM ES Actions upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6544 | |||
| Information Ratio | 0.0459 | |||
| Maximum Drawdown | 3.94 | |||
| Value At Risk | (0.80) | |||
| Potential Upside | 1.44 |
ALM ES Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ALM ES's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ALM ES's standard deviation. In reality, there are many statistical measures that can use ALM ES historical prices to predict the future ALM ES's volatility.| Risk Adjusted Performance | 0.0463 | |||
| Jensen Alpha | 0.0303 | |||
| Total Risk Alpha | 0.0307 | |||
| Sortino Ratio | 0.0471 | |||
| Treynor Ratio | (0.94) |
ALM ES Actions Backtested Returns
As of now, ALM Fund is very steady. ALM ES Actions secures Sharpe Ratio (or Efficiency) of 0.04, which signifies that the fund had a 0.04% return per unit of return volatility over the last 3 months. We have found twenty-seven technical indicators for ALM ES Actions, which you can use to evaluate the volatility of the entity. Please confirm ALM ES's Mean Deviation of 0.4551, risk adjusted performance of 0.0463, and Semi Deviation of 0.5488 to double-check if the risk estimate we provide is consistent with the expected return of 0.028%. The fund shows a Beta (market volatility) of -0.0321, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ALM ES are expected to decrease at a much lower rate. During the bear market, ALM ES is likely to outperform the market.
Auto-correlation | -0.53 |
Good reverse predictability
ALM ES Actions has good reverse predictability. Overlapping area represents the amount of predictability between ALM ES time series from 9th of November 2024 to 9th of December 2024 and 9th of December 2024 to 8th 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 ALM ES Actions price movement. The serial correlation of -0.53 indicates that about 53.0% of current ALM ES price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 2.06 |
ALM ES Actions lagged returns against current returns
Autocorrelation, which is ALM ES 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 ALM ES's fund expected returns. We can calculate the autocorrelation of ALM ES returns to help us make a trade decision. For example, suppose you find that ALM ES 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 |
ALM ES 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 ALM ES fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ALM ES fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ALM ES fund over time.
Current vs Lagged Prices |
| Timeline |
ALM ES Lagged Returns
When evaluating ALM ES's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ALM ES fund have on its future price. ALM ES 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, ALM ES autocorrelation shows the relationship between ALM ES fund current value and its past values and can show if there is a momentum factor associated with investing in ALM ES Actions.
Regressed Prices |
| Timeline |
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