Savaria Stock Market Value
| SIS Stock | CAD 21.21 0.22 1.05% |
| Symbol | Savaria |
Savaria Price To Book Ratio
Savaria '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 Savaria'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 Savaria.
| 11/02/2024 |
| 12/02/2024 |
If you would invest 0.00 in Savaria on November 2, 2024 and sell it all today you would earn a total of 0.00 from holding Savaria or generate 0.0% return on investment in Savaria over 30 days. Savaria is related to or competes with Alaris Equity, Timbercreek Financial, Fiera Capital, Diversified Royalty, and MCAN Mortgage. Savaria Corporation provides accessibility solutions for the elderly and physically challenged peoples in Canada, the Un... More
Savaria 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 Savaria'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 Savaria upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.38 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 11.88 | |||
| Value At Risk | (3.28) | |||
| Potential Upside | 2.79 |
Savaria Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Savaria's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Savaria's standard deviation. In reality, there are many statistical measures that can use Savaria historical prices to predict the future Savaria's volatility.| Risk Adjusted Performance | 0.0629 | |||
| Jensen Alpha | 0.1603 | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | (0.0009) | |||
| Treynor Ratio | (0.46) |
Savaria Backtested Returns
As of now, Savaria Stock is not too volatile. Savaria owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0605, which indicates the firm had a 0.0605% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Savaria, which you can use to evaluate the volatility of the company. Please validate Savaria's Coefficient Of Variation of 1338.41, semi deviation of 2.14, and Risk Adjusted Performance of 0.0629 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. Savaria has a performance score of 4 on a scale of 0 to 100. The entity has a beta of -0.27, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Savaria are expected to decrease at a much lower rate. During the bear market, Savaria is likely to outperform the market. Savaria right now has a risk of 1.84%. Please validate Savaria kurtosis, and the relationship between the downside variance and day median price , to decide if Savaria will be following its existing price patterns.
Auto-correlation | 0.48 |
Average predictability
Savaria has average predictability. Overlapping area represents the amount of predictability between Savaria time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd of December 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 Savaria price movement. The serial correlation of 0.48 indicates that about 48.0% of current Savaria price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.73 |
Savaria lagged returns against current returns
Autocorrelation, which is Savaria 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 Savaria's stock expected returns. We can calculate the autocorrelation of Savaria returns to help us make a trade decision. For example, suppose you find that Savaria 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 |
Savaria 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 Savaria stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Savaria stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Savaria stock over time.
Current vs Lagged Prices |
| Timeline |
Savaria Lagged Returns
When evaluating Savaria's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Savaria stock have on its future price. Savaria 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, Savaria autocorrelation shows the relationship between Savaria stock current value and its past values and can show if there is a momentum factor associated with investing in Savaria.
Regressed Prices |
| Timeline |
Pair Trading with Savaria
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 Savaria 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 Savaria will appreciate offsetting losses from the drop in the long position's value.Moving together with Savaria Stock
Moving against Savaria Stock
The ability to find closely correlated positions to Savaria could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Savaria 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 Savaria - 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 Savaria to buy it.
The correlation of Savaria 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 Savaria moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Savaria 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 Savaria 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 Savaria Stock
Savaria financial ratios help investors to determine whether Savaria 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 Savaria with respect to the benefits of owning Savaria security.