DFDS AS (Denmark) Market Value
| DFDS Stock | DKK 209.20 0.60 0.29% |
| Symbol | DFDS |
DFDS AS '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 DFDS AS'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 DFDS AS.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in DFDS AS on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding DFDS AS or generate 0.0% return on investment in DFDS AS over 30 days. DFDS AS is related to or competes with FLSmidth, NKT AS, Dampskibsselskabet, GN Store, and ROCKWOOL International. DFDS AS provides logistics solutions in Denmark and internationally More
DFDS AS 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 DFDS AS'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 DFDS AS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 7.28 | |||
| Value At Risk | (2.52) | |||
| Potential Upside | 2.24 |
DFDS AS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DFDS AS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DFDS AS's standard deviation. In reality, there are many statistical measures that can use DFDS AS historical prices to predict the future DFDS AS's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.32) | |||
| Treynor Ratio | (3.78) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DFDS AS'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.
DFDS AS Backtested Returns
DFDS AS secures Sharpe Ratio (or Efficiency) of -0.0922, which denotes the company had a -0.0922% return per unit of risk over the last 3 months. DFDS AS exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DFDS AS's Standard Deviation of 1.43, variance of 2.06, and Mean Deviation of 1.1 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0376, which means not very significant fluctuations relative to the market. As returns on the market increase, DFDS AS's returns are expected to increase less than the market. However, during the bear market, the loss of holding DFDS AS is expected to be smaller as well. DFDS AS has an expected return of -0.13%. Please make sure to confirm DFDS AS standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to decide if DFDS AS performance from the past will be repeated at some future date.
Auto-correlation | -0.14 |
Insignificant reverse predictability
DFDS AS has insignificant reverse predictability. Overlapping area represents the amount of predictability between DFDS AS time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 DFDS AS price movement. The serial correlation of -0.14 indicates that less than 14.0% of current DFDS AS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.14 | |
| Spearman Rank Test | 0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 2.33 |
DFDS AS lagged returns against current returns
Autocorrelation, which is DFDS AS 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 DFDS AS's stock expected returns. We can calculate the autocorrelation of DFDS AS returns to help us make a trade decision. For example, suppose you find that DFDS AS 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 |
DFDS AS 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 DFDS AS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DFDS AS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DFDS AS stock over time.
Current vs Lagged Prices |
| Timeline |
DFDS AS Lagged Returns
When evaluating DFDS AS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DFDS AS stock have on its future price. DFDS AS 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, DFDS AS autocorrelation shows the relationship between DFDS AS stock current value and its past values and can show if there is a momentum factor associated with investing in DFDS AS.
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 DFDS AS 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, DFDS AS's short interest history, or implied volatility extrapolated from DFDS AS options trading.
Pair Trading with DFDS AS
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 DFDS AS 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 DFDS AS will appreciate offsetting losses from the drop in the long position's value.Moving together with DFDS Stock
| 0.87 | ODICO | Odico AS | PairCorr |
Moving against DFDS Stock
| 0.9 | CBRAIN | cBrain AS | PairCorr |
| 0.75 | ALK-B | ALK Abell AS | PairCorr |
The ability to find closely correlated positions to DFDS AS could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DFDS AS 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 DFDS AS - 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 DFDS AS to buy it.
The correlation of DFDS AS 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 DFDS AS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if DFDS 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 DFDS AS 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 DFDS AS Correlation, DFDS AS Volatility and DFDS AS Alpha and Beta module to complement your research on DFDS AS. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Complementary Tools for DFDS Stock analysis
When running DFDS AS's price analysis, check to measure DFDS AS'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 DFDS AS is operating at the current time. Most of DFDS AS's value examination focuses on studying past and present price action to predict the probability of DFDS AS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DFDS AS's price. Additionally, you may evaluate how the addition of DFDS AS to your portfolios can decrease your overall portfolio volatility.
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DFDS AS 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.