Allied Properties Real Stock Market Value
| APYRF Stock | USD 12.46 0.12 0.95% |
| Symbol | Allied |
Allied Properties '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 Allied Properties' pink sheet 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 Allied Properties.
| 05/19/2022 |
| 05/08/2024 |
If you would invest 0.00 in Allied Properties on May 19, 2022 and sell it all today you would earn a total of 0.00 from holding Allied Properties Real or generate 0.0% return on investment in Allied Properties over 720 days. Allied Properties is related to or competes with Slate Office, Keppel REIT, BTB Real, Franklin Street, City Office, Vornado Realty, and Highwoods Properties. Allied is a leading owner, manager and developer of distinctive urban workspace in Canadas major cities and network-dens... More
Allied Properties 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 Allied Properties' pink sheet 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 Allied Properties Real upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 9.17 | |||
| Value At Risk | (4.06) | |||
| Potential Upside | 2.64 |
Allied Properties Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Allied Properties' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Allied Properties' standard deviation. In reality, there are many statistical measures that can use Allied Properties historical prices to predict the future Allied Properties' volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (3.41) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Allied Properties' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Allied Properties Real Backtested Returns
We consider Allied Properties not too volatile. Allied Properties Real secures Sharpe Ratio (or Efficiency) of 0.0032, which signifies that the company had a 0.0032% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Allied Properties Real, which you can use to evaluate the volatility of the firm. Please confirm Allied Properties' Risk Adjusted Performance of (0.04), standard deviation of 2.18, and Mean Deviation of 1.63 to double-check if the risk estimate we provide is consistent with the expected return of 0.0061%. The firm shows a Beta (market volatility) of 0.0555, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Allied Properties' returns are expected to increase less than the market. However, during the bear market, the loss of holding Allied Properties is expected to be smaller as well. Allied Properties Real right now shows a risk of 1.89%. Please confirm Allied Properties Real value at risk, as well as the relationship between the daily balance of power and price action indicator , to decide if Allied Properties Real will be following its price patterns.
Auto-correlation | -0.08 |
Very weak reverse predictability
Allied Properties Real has very weak reverse predictability. Overlapping area represents the amount of predictability between Allied Properties time series from 19th of May 2022 to 14th of May 2023 and 14th of May 2023 to 8th of May 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 Allied Properties Real price movement. The serial correlation of -0.08 indicates that barely 8.0% of current Allied Properties price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 3.19 |
Allied Properties Real lagged returns against current returns
Autocorrelation, which is Allied Properties pink sheet'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 Allied Properties' pink sheet expected returns. We can calculate the autocorrelation of Allied Properties returns to help us make a trade decision. For example, suppose you find that Allied Properties has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Allied Properties 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 Allied Properties pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Allied Properties pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Allied Properties pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Allied Properties Lagged Returns
When evaluating Allied Properties' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Allied Properties pink sheet have on its future price. Allied Properties 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, Allied Properties autocorrelation shows the relationship between Allied Properties pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Allied Properties Real.
Regressed Prices |
| Timeline |
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 Allied Properties Correlation, Allied Properties Volatility and Allied Properties Alpha and Beta module to complement your research on Allied Properties. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Complementary Tools for Allied Pink Sheet 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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Allied Properties technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.