AL Sydbank (Denmark) Market Value
| ALSYDB Stock | 559.00 10.00 1.82% |
| Symbol | ALSYDB |
AL Sydbank '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 AL Sydbank's 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 AL Sydbank.
| 12/15/2025 |
| 01/14/2026 |
If you would invest 0.00 in AL Sydbank on December 15, 2025 and sell it all today you would earn a total of 0.00 from holding AL Sydbank AS or generate 0.0% return on investment in AL Sydbank over 30 days.
AL Sydbank 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 AL Sydbank's 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 AL Sydbank AS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 7.58 | |||
| Value At Risk | (2.25) | |||
| Potential Upside | 1.82 |
AL Sydbank Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AL Sydbank's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AL Sydbank's standard deviation. In reality, there are many statistical measures that can use AL Sydbank historical prices to predict the future AL Sydbank's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (1.62) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AL Sydbank'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.
AL Sydbank AS Backtested Returns
AL Sydbank AS retains Efficiency (Sharpe Ratio) of -0.0106, which signifies that the company had a -0.0106 % return per unit of price deviation over the last 3 months. AL Sydbank exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AL Sydbank's Variance of 2.75, market risk adjusted performance of (1.61), and Information Ratio of (0.07) to double-check the risk estimate we provide. The firm owns a Beta (Systematic Risk) of 0.017, which signifies not very significant fluctuations relative to the market. As returns on the market increase, AL Sydbank's returns are expected to increase less than the market. However, during the bear market, the loss of holding AL Sydbank is expected to be smaller as well. At this point, AL Sydbank AS has a negative expected return of -0.0175%. Please make sure to confirm AL Sydbank's potential upside, and the relationship between the jensen alpha and rate of daily change , to decide if AL Sydbank AS performance from the past will be repeated sooner or later.
Auto-correlation | -0.33 |
Poor reverse predictability
AL Sydbank AS has poor reverse predictability. Overlapping area represents the amount of predictability between AL Sydbank time series from 15th of December 2025 to 30th of December 2025 and 30th of December 2025 to 14th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of AL Sydbank AS price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current AL Sydbank price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 81.62 |
AL Sydbank AS lagged returns against current returns
Autocorrelation, which is AL Sydbank 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 AL Sydbank's stock expected returns. We can calculate the autocorrelation of AL Sydbank returns to help us make a trade decision. For example, suppose you find that AL Sydbank 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 |
AL Sydbank 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 AL Sydbank stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AL Sydbank stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AL Sydbank stock over time.
Current vs Lagged Prices |
| Timeline |
AL Sydbank Lagged Returns
When evaluating AL Sydbank's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AL Sydbank stock have on its future price. AL Sydbank 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, AL Sydbank autocorrelation shows the relationship between AL Sydbank stock current value and its past values and can show if there is a momentum factor associated with investing in AL Sydbank AS.
Regressed Prices |
| Timeline |
Pair Trading with AL Sydbank
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 AL Sydbank 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 AL Sydbank will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to AL Sydbank could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AL Sydbank 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 AL Sydbank - 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 AL Sydbank AS to buy it.
The correlation of AL Sydbank 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 AL Sydbank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AL Sydbank AS 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 AL Sydbank 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.