Dollarama (Germany) Market Value
| DR3 Stock | EUR 97.16 0.34 0.35% |
| Symbol | Dollarama |
Dollarama '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 Dollarama'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 Dollarama.
| 04/06/2024 |
| 12/02/2024 |
If you would invest 0.00 in Dollarama on April 6, 2024 and sell it all today you would earn a total of 0.00 from holding Dollarama or generate 0.0% return on investment in Dollarama over 240 days. Dollarama is related to or competes with United Airlines, SHIP HEALTHCARE, Singapore Airlines, EHEALTH, DICKER DATA, Southwest Airlines, and Science Applications. Its stores offer general merchandise, consumables, and seasonal items More
Dollarama 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 Dollarama'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 Dollarama upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.32 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 6.61 | |||
| Value At Risk | (2.59) | |||
| Potential Upside | 3.2 |
Dollarama Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dollarama's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dollarama's standard deviation. In reality, there are many statistical measures that can use Dollarama historical prices to predict the future Dollarama's volatility.| Risk Adjusted Performance | 0.066 | |||
| Jensen Alpha | 0.0928 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.991 |
Dollarama Backtested Returns
At this point, Dollarama is very steady. Dollarama secures Sharpe Ratio (or Efficiency) of 0.0941, which denotes the company had a 0.0941% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Dollarama, which you can use to evaluate the volatility of the firm. Please confirm Dollarama's Mean Deviation of 1.08, downside deviation of 1.32, and Coefficient Of Variation of 1248.69 to check if the risk estimate we provide is consistent with the expected return of 0.13%. Dollarama has a performance score of 7 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.11, which means not very significant fluctuations relative to the market. As returns on the market increase, Dollarama's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dollarama is expected to be smaller as well. Dollarama right now shows a risk of 1.41%. Please confirm Dollarama jensen alpha, sortino ratio, and the relationship between the information ratio and total risk alpha , to decide if Dollarama will be following its price patterns.
Auto-correlation | 0.81 |
Very good predictability
Dollarama has very good predictability. Overlapping area represents the amount of predictability between Dollarama time series from 6th of April 2024 to 4th of August 2024 and 4th of August 2024 to 2nd 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 Dollarama price movement. The serial correlation of 0.81 indicates that around 81.0% of current Dollarama price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 22.63 |
Dollarama lagged returns against current returns
Autocorrelation, which is Dollarama 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 Dollarama's stock expected returns. We can calculate the autocorrelation of Dollarama returns to help us make a trade decision. For example, suppose you find that Dollarama 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 |
Dollarama 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 Dollarama stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dollarama stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dollarama stock over time.
Current vs Lagged Prices |
| Timeline |
Dollarama Lagged Returns
When evaluating Dollarama's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dollarama stock have on its future price. Dollarama 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, Dollarama autocorrelation shows the relationship between Dollarama stock current value and its past values and can show if there is a momentum factor associated with investing in Dollarama.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Dollarama Stock
Dollarama financial ratios help investors to determine whether Dollarama 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 Dollarama with respect to the benefits of owning Dollarama security.