Vestjysk Bank (Denmark) Market Value
| VJBA Stock | DKK 4.62 0.04 0.87% |
| Symbol | Vestjysk |
Vestjysk Bank '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 Vestjysk Bank'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 Vestjysk Bank.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Vestjysk Bank on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Vestjysk Bank AS or generate 0.0% return on investment in Vestjysk Bank over 30 days. Vestjysk Bank is related to or competes with Bavarian Nordic, DSV Panalpina, Vestas Wind, Ambu AS, and FLSmidth. Vestjysk Bank AS provides banking products and services for retail and business customers in Jutland, Denmark More
Vestjysk Bank 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 Vestjysk Bank'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 Vestjysk Bank AS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.26 | |||
| Information Ratio | 0.0776 | |||
| Maximum Drawdown | 12.71 | |||
| Value At Risk | (1.57) | |||
| Potential Upside | 2.12 |
Vestjysk Bank Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vestjysk Bank's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vestjysk Bank's standard deviation. In reality, there are many statistical measures that can use Vestjysk Bank historical prices to predict the future Vestjysk Bank's volatility.| Risk Adjusted Performance | 0.0879 | |||
| Jensen Alpha | 0.18 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.0555 | |||
| Treynor Ratio | 0.6549 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vestjysk Bank'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.
Vestjysk Bank AS Backtested Returns
We consider Vestjysk Bank somewhat reliable. Vestjysk Bank AS owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Vestjysk Bank AS, which you can use to evaluate the volatility of the company. Please validate Vestjysk Bank's Coefficient Of Variation of 753.32, semi deviation of 1.85, and Risk Adjusted Performance of 0.0879 to confirm if the risk estimate we provide is consistent with the expected return of 0.19%. Vestjysk Bank has a performance score of 9 on a scale of 0 to 100. The entity has a beta of 0.31, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Vestjysk Bank's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vestjysk Bank is expected to be smaller as well. Vestjysk Bank AS right now has a risk of 1.67%. Please validate Vestjysk Bank value at risk, downside variance, and the relationship between the maximum drawdown and potential upside , to decide if Vestjysk Bank will be following its existing price patterns.
Auto-correlation | -0.34 |
Poor reverse predictability
Vestjysk Bank AS has poor reverse predictability. Overlapping area represents the amount of predictability between Vestjysk Bank time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd of April 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 Vestjysk Bank AS price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current Vestjysk Bank price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Vestjysk Bank AS lagged returns against current returns
Autocorrelation, which is Vestjysk Bank 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 Vestjysk Bank's stock expected returns. We can calculate the autocorrelation of Vestjysk Bank returns to help us make a trade decision. For example, suppose you find that Vestjysk Bank 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 |
Vestjysk Bank 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 Vestjysk Bank stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vestjysk Bank stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vestjysk Bank stock over time.
Current vs Lagged Prices |
| Timeline |
Vestjysk Bank Lagged Returns
When evaluating Vestjysk Bank's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vestjysk Bank stock have on its future price. Vestjysk Bank 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, Vestjysk Bank autocorrelation shows the relationship between Vestjysk Bank stock current value and its past values and can show if there is a momentum factor associated with investing in Vestjysk Bank AS.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Vestjysk Bank Correlation, Vestjysk Bank Volatility and Vestjysk Bank Alpha and Beta module to complement your research on Vestjysk Bank. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Complementary Tools for Vestjysk Stock analysis
When running Vestjysk Bank's price analysis, check to measure Vestjysk Bank's 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 Vestjysk Bank is operating at the current time. Most of Vestjysk Bank's value examination focuses on studying past and present price action to predict the probability of Vestjysk Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vestjysk Bank's price. Additionally, you may evaluate how the addition of Vestjysk Bank to your portfolios can decrease your overall portfolio volatility.
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Vestjysk Bank 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.