Interrent Real Estate Stock Market Value
| IIP-UN Stock | CAD 12.15 0.11 0.90% |
| Symbol | InterRent |
InterRent Real Estate Price To Book Ratio
InterRent Real '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 InterRent Real'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 InterRent Real.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in InterRent Real on May 6, 2022 and sell it all today you would earn a total of 0.00 from holding InterRent Real Estate or generate 0.0% return on investment in InterRent Real over 720 days. InterRent Real is related to or competes with Allied Properties, Granite Real, HR Real, and . InterRent REIT is a growth-oriented real estate investment trust engaged in increasing Unitholder value and creating a g... More
InterRent Real 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 InterRent Real'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 InterRent Real Estate upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 6.43 | |||
| Value At Risk | (2.82) | |||
| Potential Upside | 1.78 |
InterRent Real Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for InterRent Real's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as InterRent Real's standard deviation. In reality, there are many statistical measures that can use InterRent Real historical prices to predict the future InterRent Real's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of InterRent Real's 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.
InterRent Real Estate Backtested Returns
InterRent Real Estate holds Efficiency (Sharpe) Ratio of -0.11, which attests that the entity had a -0.11% return per unit of risk over the last 3 months. InterRent Real Estate exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out InterRent Real's Standard Deviation of 1.38, risk adjusted performance of (0.05), and Market Risk Adjusted Performance of (0.08) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 1.47, which attests to 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, InterRent Real will likely underperform. InterRent Real Estate has an expected return of -0.15%. Please make sure to check out InterRent Real kurtosis, as well as the relationship between the day median price and period momentum indicator , to decide if InterRent Real Estate performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.65 |
Good predictability
InterRent Real Estate has good predictability. Overlapping area represents the amount of predictability between InterRent Real time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 to 25th of April 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 InterRent Real Estate price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current InterRent Real price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
InterRent Real Estate lagged returns against current returns
Autocorrelation, which is InterRent Real 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 InterRent Real's stock expected returns. We can calculate the autocorrelation of InterRent Real returns to help us make a trade decision. For example, suppose you find that InterRent Real 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 |
InterRent Real 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 InterRent Real stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if InterRent Real stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in InterRent Real stock over time.
Current vs Lagged Prices |
| Timeline |
InterRent Real Lagged Returns
When evaluating InterRent Real's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of InterRent Real stock have on its future price. InterRent Real 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, InterRent Real autocorrelation shows the relationship between InterRent Real stock current value and its past values and can show if there is a momentum factor associated with investing in InterRent Real Estate.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards InterRent Real in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, InterRent Real's short interest history, or implied volatility extrapolated from InterRent Real options trading.
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Complementary Tools for InterRent Stock analysis
When running InterRent Real's price analysis, check to measure InterRent Real'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 InterRent Real is operating at the current time. Most of InterRent Real's value examination focuses on studying past and present price action to predict the probability of InterRent Real's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move InterRent Real's price. Additionally, you may evaluate how the addition of InterRent Real to your portfolios can decrease your overall portfolio volatility.
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InterRent Real technical stock 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, stock market cycles, or different charting patterns.