Allied Net Income from 2010 to 2024
| AP-UN Stock | CAD 17.06 0.04 0.23% |
Net Loss | First Reported 2003-03-31 | Previous Quarter -34 M | Current Value -499.3 M | Quarterly Volatility 91.1 M |
Check Allied Properties financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Allied main balance sheet or income statement drivers, such as Depreciation And Amortization of 1.1 M, Interest Expense of 109.4 M or Selling General Administrative of 12.7 M, as well as many exotic indicators such as Price To Sales Ratio of 5.34, Dividend Yield of 0.0529 or PTB Ratio of 0.44. Allied financial statements analysis is a perfect complement when working with Allied Properties Valuation or Volatility modules.
Allied | Net Income |
Pair Trading with Allied Properties
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 Allied Properties 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 Allied Properties will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Allied Properties could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Allied Properties 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 Allied Properties - 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 Allied Properties Real to buy it.
The correlation of Allied Properties 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 Allied Properties moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Allied Properties Real 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 Allied Properties 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 the analysis of Allied Properties Correlation against competitors. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Complementary Tools for Allied Stock analysis
When running Allied Properties' price analysis, check to measure Allied Properties' 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 Allied Properties is operating at the current time. Most of Allied Properties' value examination focuses on studying past and present price action to predict the probability of Allied Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Allied Properties' price. Additionally, you may evaluate how the addition of Allied Properties to your portfolios can decrease your overall portfolio volatility.
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