Allfunds (Netherlands) Market Value
| ALLFG Stock | EUR 5.94 0.19 3.10% |
| Symbol | Allfunds |
Allfunds '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 Allfunds' 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 Allfunds.
| 04/02/2024 |
| 05/02/2024 |
If you would invest 0.00 in Allfunds on April 2, 2024 and sell it all today you would earn a total of 0.00 from holding Allfunds Group or generate 0.0% return on investment in Allfunds over 30 days. Allfunds is related to or competes with Instalco Intressenter, Euronext, and Linea Directa. Allfunds Group plc provides B2B WealthTech platforms connecting fund houses and distributors More
Allfunds 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 Allfunds' 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 Allfunds Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 16.59 | |||
| Value At Risk | (2.46) | |||
| Potential Upside | 2.92 |
Allfunds Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Allfunds' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Allfunds' standard deviation. In reality, there are many statistical measures that can use Allfunds historical prices to predict the future Allfunds' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.11) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Allfunds' 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.
Allfunds Group Backtested Returns
Allfunds Group secures Sharpe Ratio (or Efficiency) of -0.0509, which signifies that the company had a -0.0509% return per unit of risk over the last 3 months. Allfunds Group exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Allfunds' Risk Adjusted Performance of (0.02), standard deviation of 2.24, and Mean Deviation of 1.51 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.89, which signifies possible diversification benefits within a given portfolio. Allfunds returns are very sensitive to returns on the market. As the market goes up or down, Allfunds is expected to follow. Allfunds Group has an expected return of -0.11%. Please make sure to confirm Allfunds Group treynor ratio, accumulation distribution, price action indicator, as well as the relationship between the potential upside and day median price , to decide if Allfunds Group performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.45 |
Modest reverse predictability
Allfunds Group has modest reverse predictability. Overlapping area represents the amount of predictability between Allfunds time series from 2nd of April 2024 to 17th of April 2024 and 17th of April 2024 to 2nd of May 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 Allfunds Group price movement. The serial correlation of -0.45 indicates that just about 45.0% of current Allfunds price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Allfunds Group lagged returns against current returns
Autocorrelation, which is Allfunds 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 Allfunds' stock expected returns. We can calculate the autocorrelation of Allfunds returns to help us make a trade decision. For example, suppose you find that Allfunds 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 |
Allfunds 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 Allfunds stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Allfunds stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Allfunds stock over time.
Current vs Lagged Prices |
| Timeline |
Allfunds Lagged Returns
When evaluating Allfunds' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Allfunds stock have on its future price. Allfunds 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, Allfunds autocorrelation shows the relationship between Allfunds stock current value and its past values and can show if there is a momentum factor associated with investing in Allfunds Group.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Allfunds in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Allfunds' short interest history, or implied volatility extrapolated from Allfunds options trading.
Pair Trading with Allfunds
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 Allfunds 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 Allfunds will appreciate offsetting losses from the drop in the long position's value.Moving against Allfunds Stock
| 0.55 | UNA | Unilever PLC | PairCorr |
| 0.5 | HEIO | Heineken Holding | PairCorr |
The ability to find closely correlated positions to Allfunds could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Allfunds 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 Allfunds - 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 Allfunds Group to buy it.
The correlation of Allfunds 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 Allfunds moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Allfunds Group 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 Allfunds 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.Check out Allfunds Correlation, Allfunds Volatility and Allfunds Alpha and Beta module to complement your research on Allfunds. Note that the Allfunds Group information on this page should be used as a complementary analysis to other Allfunds' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Complementary Tools for Allfunds Stock analysis
When running Allfunds' price analysis, check to measure Allfunds' 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 Allfunds is operating at the current time. Most of Allfunds' value examination focuses on studying past and present price action to predict the probability of Allfunds' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Allfunds' price. Additionally, you may evaluate how the addition of Allfunds to your portfolios can decrease your overall portfolio volatility.
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Allfunds technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.