DSV Panalpina (Denmark) Market Value
| DSV Stock | DKK 1,127 4.50 0.40% |
| Symbol | DSV |
DSV Panalpina '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 DSV Panalpina'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 DSV Panalpina.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in DSV Panalpina on March 17, 2024 and sell it all today you would earn a total of 0.00 from holding DSV Panalpina AS or generate 0.0% return on investment in DSV Panalpina over 30 days. DSV Panalpina is related to or competes with CBrain AS, Netcompany Group, and ChemoMetec. DSV Panalpina AS provides transport and logistics services in Europe, the Middle East, Africa, North America, South Amer... More
DSV Panalpina 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 DSV Panalpina'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 DSV Panalpina AS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 5.28 | |||
| Value At Risk | (2.28) | |||
| Potential Upside | 1.85 |
DSV Panalpina Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DSV Panalpina's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DSV Panalpina's standard deviation. In reality, there are many statistical measures that can use DSV Panalpina historical prices to predict the future DSV Panalpina's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | 0.6734 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DSV Panalpina'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.
DSV Panalpina AS Backtested Returns
DSV Panalpina AS secures Sharpe Ratio (or Efficiency) of -0.13, which denotes the company had a -0.13% return per unit of volatility over the last 3 months. DSV Panalpina AS exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DSV Panalpina's Standard Deviation of 1.25, mean deviation of 0.9363, and Market Risk Adjusted Performance of 0.6834 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.21, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning DSV Panalpina are expected to decrease at a much lower rate. During the bear market, DSV Panalpina is likely to outperform the market. DSV Panalpina AS has an expected return of -0.16%. Please make sure to confirm DSV Panalpina AS daily balance of power, market facilitation index, and the relationship between the kurtosis and day median price , to decide if DSV Panalpina AS performance from the past will be repeated at future time.
Auto-correlation | -0.34 |
Poor reverse predictability
DSV Panalpina AS has poor reverse predictability. Overlapping area represents the amount of predictability between DSV Panalpina time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th 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 DSV Panalpina AS price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current DSV Panalpina price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 206.6 |
DSV Panalpina AS lagged returns against current returns
Autocorrelation, which is DSV Panalpina 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 DSV Panalpina's stock expected returns. We can calculate the autocorrelation of DSV Panalpina returns to help us make a trade decision. For example, suppose you find that DSV Panalpina 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 |
DSV Panalpina 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 DSV Panalpina stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DSV Panalpina stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DSV Panalpina stock over time.
Current vs Lagged Prices |
| Timeline |
DSV Panalpina Lagged Returns
When evaluating DSV Panalpina's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DSV Panalpina stock have on its future price. DSV Panalpina 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, DSV Panalpina autocorrelation shows the relationship between DSV Panalpina stock current value and its past values and can show if there is a momentum factor associated with investing in DSV Panalpina AS.
Regressed Prices |
| Timeline |
Pair Trading with DSV Panalpina
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 DSV Panalpina 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 DSV Panalpina will appreciate offsetting losses from the drop in the long position's value.Moving together with DSV Stock
| 0.85 | ODICO | Odico AS | PairCorr |
| 0.86 | SPENN | SPENN Technology | PairCorr |
Moving against DSV Stock
| 0.83 | DANT | Dantax | PairCorr |
| 0.61 | SHAPE | Shape Robotics AS | PairCorr |
| 0.59 | STENO | Stenocare AS | PairCorr |
The ability to find closely correlated positions to DSV Panalpina could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DSV Panalpina 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 DSV Panalpina - 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 DSV Panalpina AS to buy it.
The correlation of DSV Panalpina 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 DSV Panalpina moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if DSV Panalpina 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 DSV Panalpina 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 DSV Panalpina Correlation, DSV Panalpina Volatility and DSV Panalpina Alpha and Beta module to complement your research on DSV Panalpina. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Complementary Tools for DSV Stock analysis
When running DSV Panalpina's price analysis, check to measure DSV Panalpina'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 DSV Panalpina is operating at the current time. Most of DSV Panalpina's value examination focuses on studying past and present price action to predict the probability of DSV Panalpina's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DSV Panalpina's price. Additionally, you may evaluate how the addition of DSV Panalpina to your portfolios can decrease your overall portfolio volatility.
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DSV Panalpina 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.