Real Matters Stock Market Value
| REAL Stock | CAD 5.66 0.15 2.58% |
| Symbol | Real |
Real Matters Price To Book Ratio
Real Matters '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 Real Matters' 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 Real Matters.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Real Matters on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Real Matters or generate 0.0% return on investment in Real Matters over 90 days. Real Matters is related to or competes with Kinaxis, Docebo, Enghouse Systems, and Dye Durham. Real Matters Inc. develops and provides technology and network management solutions to mortgage lending and insurance in... More
Real Matters 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 Real Matters' 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 Real Matters upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 8.43 | |||
| Value At Risk | (4.18) | |||
| Potential Upside | 2.91 |
Real Matters Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Real Matters' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Real Matters' standard deviation. In reality, there are many statistical measures that can use Real Matters historical prices to predict the future Real Matters' volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | 7.73 |
Real Matters Backtested Returns
Real Matters maintains Sharpe Ratio (i.e., Efficiency) of -0.11, which implies the firm had a -0.11 % return per unit of risk over the last 3 months. Real Matters exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Real Matters' Coefficient Of Variation of (653.57), risk adjusted performance of (0.13), and Variance of 4.5 to confirm the risk estimate we provide. The company holds a Beta of -0.0433, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Real Matters are expected to decrease at a much lower rate. During the bear market, Real Matters is likely to outperform the market. At this point, Real Matters has a negative expected return of -0.24%. Please make sure to check Real Matters' jensen alpha, treynor ratio, and the relationship between the standard deviation and total risk alpha , to decide if Real Matters performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.32 |
Poor reverse predictability
Real Matters has poor reverse predictability. Overlapping area represents the amount of predictability between Real Matters time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 Real Matters price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Real Matters price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Real Matters lagged returns against current returns
Autocorrelation, which is Real Matters 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 Real Matters' stock expected returns. We can calculate the autocorrelation of Real Matters returns to help us make a trade decision. For example, suppose you find that Real Matters 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 |
Real Matters 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 Real Matters stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Real Matters stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Real Matters stock over time.
Current vs Lagged Prices |
| Timeline |
Real Matters Lagged Returns
When evaluating Real Matters' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Real Matters stock have on its future price. Real Matters 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, Real Matters autocorrelation shows the relationship between Real Matters stock current value and its past values and can show if there is a momentum factor associated with investing in Real Matters.
Regressed Prices |
| Timeline |
Pair Trading with Real Matters
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 Real Matters 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 Real Matters will appreciate offsetting losses from the drop in the long position's value.Moving together with Real Stock
Moving against Real Stock
| 0.86 | JNJ | Johnson Johnson CDR | PairCorr |
| 0.79 | BRK | Berkshire Hathaway CDR | PairCorr |
| 0.75 | VISA | Visa Inc CDR | PairCorr |
| 0.34 | NTR | Nutrien | PairCorr |
The ability to find closely correlated positions to Real Matters could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Real Matters 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 Real Matters - 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 Real Matters to buy it.
The correlation of Real Matters 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 Real Matters moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Real Matters 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 Real Matters 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 Real Stock
Real Matters financial ratios help investors to determine whether Real 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 Real with respect to the benefits of owning Real Matters security.