ALM Classic (Germany) Market Value
| 0P00000PWH | EUR 380.39 0.69 0.18% |
| Symbol | ALM |
ALM Classic '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 Classic'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 Classic.
| 12/08/2024 |
| 01/07/2025 |
If you would invest 0.00 in ALM Classic on December 8, 2024 and sell it all today you would earn a total of 0.00 from holding ALM Classic RA or generate 0.0% return on investment in ALM Classic over 30 days. ALM Classic is related to or competes with ALM Offensif, R Co, IE00B0H4TS55, and Echiquier Entrepreneurs. Le fonds ALM CLASSIC est un fonds multi-actifs dominante obligataire More
ALM Classic 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 Classic'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 Classic RA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2128 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 0.9809 | |||
| Value At Risk | (0.32) | |||
| Potential Upside | 0.271 |
ALM Classic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ALM Classic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ALM Classic's standard deviation. In reality, there are many statistical measures that can use ALM Classic historical prices to predict the future ALM Classic's volatility.| Risk Adjusted Performance | 0.0625 | |||
| Jensen Alpha | 0.0146 | |||
| Total Risk Alpha | 0.0087 | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.19) |
ALM Classic RA Backtested Returns
At this point, ALM Classic is very steady. ALM Classic RA secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the fund had a 0.12% return per unit of return volatility over the last 3 months. We have found twenty-seven technical indicators for ALM Classic RA, which you can use to evaluate the volatility of the entity. Please confirm ALM Classic's Semi Deviation of 0.1032, risk adjusted performance of 0.0625, and Mean Deviation of 0.1592 to double-check if the risk estimate we provide is consistent with the expected return of 0.0253%. The fund shows a Beta (market volatility) of -0.0707, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ALM Classic are expected to decrease at a much lower rate. During the bear market, ALM Classic is likely to outperform the market.
Auto-correlation | -0.47 |
Modest reverse predictability
ALM Classic RA has modest reverse predictability. Overlapping area represents the amount of predictability between ALM Classic 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 ALM Classic RA price movement. The serial correlation of -0.47 indicates that about 47.0% of current ALM Classic price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
ALM Classic RA lagged returns against current returns
Autocorrelation, which is ALM Classic 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 Classic's fund expected returns. We can calculate the autocorrelation of ALM Classic returns to help us make a trade decision. For example, suppose you find that ALM Classic 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 Classic 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 Classic fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ALM Classic fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ALM Classic fund over time.
Current vs Lagged Prices |
| Timeline |
ALM Classic Lagged Returns
When evaluating ALM Classic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ALM Classic fund have on its future price. ALM Classic 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 Classic autocorrelation shows the relationship between ALM Classic fund current value and its past values and can show if there is a momentum factor associated with investing in ALM Classic RA.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
| BTC | Bitcoin | |
| TRX | TRON | |
| BNB | Binance Coin | |
| ADA | Cardano | |
| XRP | XRP |
Other Information on Investing in ALM Fund
ALM Classic financial ratios help investors to determine whether ALM Fund 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 ALM with respect to the benefits of owning ALM Classic security.
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA |