Per Aarsleff (Denmark) Market Value
| PAAL-B Stock | DKK 471.00 1.00 0.21% |
| Symbol | Per |
Per Aarsleff '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 Per Aarsleff'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 Per Aarsleff.
| 08/19/2023 |
| 12/11/2024 |
If you would invest 0.00 in Per Aarsleff on August 19, 2023 and sell it all today you would earn a total of 0.00 from holding Per Aarsleff Holding or generate 0.0% return on investment in Per Aarsleff over 480 days. Per Aarsleff is related to or competes with Schouw, ROCKWOOL International, Royal Unibrew, Matas AS, and DFDS AS. Per Aarsleff Holding AS, together with its subsidiaries, operates as a civil engineering contractor in Denmark and inter... More
Per Aarsleff 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 Per Aarsleff'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 Per Aarsleff Holding upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.05 | |||
| Information Ratio | 0.1367 | |||
| Maximum Drawdown | 9.65 | |||
| Value At Risk | (1.63) | |||
| Potential Upside | 1.9 |
Per Aarsleff Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Per Aarsleff's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Per Aarsleff's standard deviation. In reality, there are many statistical measures that can use Per Aarsleff historical prices to predict the future Per Aarsleff's volatility.| Risk Adjusted Performance | 0.1673 | |||
| Jensen Alpha | 0.2741 | |||
| Total Risk Alpha | 0.0837 | |||
| Sortino Ratio | 0.1833 | |||
| Treynor Ratio | 1.05 |
Per Aarsleff Holding Backtested Returns
Per Aarsleff appears to be very steady, given 3 months investment horizon. Per Aarsleff Holding maintains Sharpe Ratio (i.e., Efficiency) of 0.22, which implies the firm had a 0.22% return per unit of risk over the last 3 months. We have found thirty technical indicators for Per Aarsleff Holding, which you can use to evaluate the volatility of the company. Please evaluate Per Aarsleff's Coefficient Of Variation of 444.89, risk adjusted performance of 0.1673, and Semi Deviation of 0.7193 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Per Aarsleff holds a performance score of 17. The company holds a Beta of 0.29, which implies not very significant fluctuations relative to the market. As returns on the market increase, Per Aarsleff's returns are expected to increase less than the market. However, during the bear market, the loss of holding Per Aarsleff is expected to be smaller as well. Please check Per Aarsleff's sortino ratio, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to make a quick decision on whether Per Aarsleff's historical price patterns will revert.
Auto-correlation | 0.47 |
Average predictability
Per Aarsleff Holding has average predictability. Overlapping area represents the amount of predictability between Per Aarsleff time series from 19th of August 2023 to 15th of April 2024 and 15th of April 2024 to 11th of December 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 Per Aarsleff Holding price movement. The serial correlation of 0.47 indicates that about 47.0% of current Per Aarsleff price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 1043.03 |
Per Aarsleff Holding lagged returns against current returns
Autocorrelation, which is Per Aarsleff 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 Per Aarsleff's stock expected returns. We can calculate the autocorrelation of Per Aarsleff returns to help us make a trade decision. For example, suppose you find that Per Aarsleff 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 |
Per Aarsleff 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 Per Aarsleff stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Per Aarsleff stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Per Aarsleff stock over time.
Current vs Lagged Prices |
| Timeline |
Per Aarsleff Lagged Returns
When evaluating Per Aarsleff's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Per Aarsleff stock have on its future price. Per Aarsleff 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, Per Aarsleff autocorrelation shows the relationship between Per Aarsleff stock current value and its past values and can show if there is a momentum factor associated with investing in Per Aarsleff Holding.
Regressed Prices |
| Timeline |
Pair Trading with Per Aarsleff
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 Per Aarsleff 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 Per Aarsleff will appreciate offsetting losses from the drop in the long position's value.Moving together with Per Stock
Moving against Per Stock
| 0.72 | CARL-A | Carlsberg AS | PairCorr |
| 0.67 | ORSTED | Orsted AS | PairCorr |
| 0.6 | CARL-B | Carlsberg AS | PairCorr |
| 0.49 | GMAB | Genmab AS | PairCorr |
| 0.43 | JYSK | Jyske Bank AS | PairCorr |
The ability to find closely correlated positions to Per Aarsleff could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Per Aarsleff 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 Per Aarsleff - 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 Per Aarsleff Holding to buy it.
The correlation of Per Aarsleff 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 Per Aarsleff moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Per Aarsleff Holding 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 Per Aarsleff 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.Other Information on Investing in Per Stock
Per Aarsleff financial ratios help investors to determine whether Per Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Per with respect to the benefits of owning Per Aarsleff security.