Aritzia Stock Market Value
| ATZ Stock | CAD 52.40 0.17 0.33% |
| Symbol | Aritzia |
Aritzia Price To Book Ratio
Aritzia '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 Aritzia'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 Aritzia.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in Aritzia on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding Aritzia or generate 0.0% return on investment in Aritzia over 90 days. Aritzia is related to or competes with Canada Goose, Restaurant Brands, Lightspeed Commerce, Goeasy, and Cargojet. Aritzia Inc., together with its subsidiaries, designs and sells apparels and accessories for women More
Aritzia 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 Aritzia'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 Aritzia upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.03 | |||
| Information Ratio | 0.0653 | |||
| Maximum Drawdown | 26.96 | |||
| Value At Risk | (5.34) | |||
| Potential Upside | 4.64 |
Aritzia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aritzia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aritzia's standard deviation. In reality, there are many statistical measures that can use Aritzia historical prices to predict the future Aritzia's volatility.| Risk Adjusted Performance | 0.04 | |||
| Jensen Alpha | 0.2946 | |||
| Total Risk Alpha | 0.5654 | |||
| Sortino Ratio | 0.0763 | |||
| Treynor Ratio | 0.0771 |
Aritzia Backtested Returns
As of now, Aritzia Stock is very steady. Aritzia secures Sharpe Ratio (or Efficiency) of 0.0274, which signifies that the company had a 0.0274 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Aritzia, which you can use to evaluate the volatility of the firm. Please confirm Aritzia's Downside Deviation of 3.03, mean deviation of 2.16, and Risk Adjusted Performance of 0.04 to double-check if the risk estimate we provide is consistent with the expected return of 0.1%. Aritzia has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 1.58, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Aritzia will likely underperform. Aritzia right now shows a risk of 3.66%. Please confirm Aritzia semi variance, day typical price, and the relationship between the maximum drawdown and accumulation distribution , to decide if Aritzia will be following its price patterns.
Auto-correlation | -0.79 |
Almost perfect reverse predictability
Aritzia has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Aritzia time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Aritzia price movement. The serial correlation of -0.79 indicates that around 79.0% of current Aritzia price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.79 | |
| Spearman Rank Test | -0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 42.96 |
Aritzia lagged returns against current returns
Autocorrelation, which is Aritzia 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 Aritzia's stock expected returns. We can calculate the autocorrelation of Aritzia returns to help us make a trade decision. For example, suppose you find that Aritzia 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 |
Aritzia 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 Aritzia stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aritzia stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aritzia stock over time.
Current vs Lagged Prices |
| Timeline |
Aritzia Lagged Returns
When evaluating Aritzia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aritzia stock have on its future price. Aritzia 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, Aritzia autocorrelation shows the relationship between Aritzia stock current value and its past values and can show if there is a momentum factor associated with investing in Aritzia.
Regressed Prices |
| Timeline |
Pair Trading with Aritzia
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 Aritzia 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 Aritzia will appreciate offsetting losses from the drop in the long position's value.Moving together with Aritzia Stock
Moving against Aritzia Stock
The ability to find closely correlated positions to Aritzia could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aritzia 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 Aritzia - 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 Aritzia to buy it.
The correlation of Aritzia 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 Aritzia moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aritzia 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 Aritzia 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 Aritzia Stock
Aritzia financial ratios help investors to determine whether Aritzia 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 Aritzia with respect to the benefits of owning Aritzia security.