2 TSX Stocks to Profit as Consumer Spending Recovers - Yahoo Canada Finance

ATZAF Stock  USD 35.33  0.13  0.37%   
Roughly 61% of Aritzia's investor base is looking to short. The analysis of overall sentiment of trading Aritzia pink sheet suggests that many investors are alarmed at this time. The current market sentiment, together with Aritzia's historical and current headlines, can help investors time the market. In addition, many technical investors use Aritzia stock news signals to limit their universe of possible portfolio assets.
Aritzia pink sheet news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of Aritzia daily returns and investor perception about the current price of Aritzia as well as its diversification or hedging effects on your existing portfolios.
  
2 TSX Stocks to Profit as Consumer Spending Recovers Yahoo Canada Finance

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Aritzia Fundamental Analysis

We analyze Aritzia's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Aritzia using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Aritzia based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.

Z Score

Z Score Comparative Analysis

Aritzia is currently under evaluation in z score category among its peers. Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..

Aritzia Potential Pair-trading

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Aritzia pink sheet to make a market-neutral strategy. Peer analysis of Aritzia could also be used in its relative valuation, which is a method of valuing Aritzia by comparing valuation metrics with similar companies.

Peers

Aritzia Related Equities

ANFAbercrombie Fitch   3.72   
0%
100.0%
JILLJJill   2.06   
0%
55.0%
CTRNCiti Trends   1.52   
0%
40.0%
FLFoot Locker   1.30   
0%
34.0%
IDEXYIndustria   1.16   
0%
31.0%
LULULululemon Athletica   0.59   
0%
15.0%
CRICarters   0.47   
0%
12.0%
GCOGenesco   0.05   
0%
1.0%
BURLBurlington Stores   0.02   
0%
1.0%
SCVLShoe Carnival   0.26   
6.0%
0%
FRCOFFast Retailing   0.98   
26.0%
0%
TJXT.J. Maxx   1.24   
33.0%
0%
TLYSTillys   1.42   
38.0%
0%
AEOAmerican Eagle   1.70   
45.0%
0%
FRCOYFast Retailing   2.14   
57.0%
0%
BKEBuckle   2.57   
69.0%
0%

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When running Aritzia's price analysis, check to measure Aritzia'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 Aritzia is operating at the current time. Most of Aritzia's value examination focuses on studying past and present price action to predict the probability of Aritzia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aritzia's price. Additionally, you may evaluate how the addition of Aritzia to your portfolios can decrease your overall portfolio volatility.
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