Savaria Graham Number from 2010 to 2024

SIS Stock  CAD 21.21  0.22  1.05%   
Savaria Graham Number yearly trend continues to be very stable with very little volatility. Graham Number is likely to grow to 10.83 this year. During the period from 2010 to 2024, Savaria Graham Number quarterly data regression pattern had sample variance of  12.12 and median of  5.43. View All Fundamentals
 
Graham Number  
First Reported
2010-12-31
Previous Quarter
10.3147083
Current Value
10.83
Quarterly Volatility
3.48076788
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Savaria financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Savaria's main balance sheet or income statement drivers, such as Depreciation And Amortization of 51.6 M, Interest Expense of 25.6 M or Selling General Administrative of 220.7 M, as well as many indicators such as Price To Sales Ratio of 1.8, Dividend Yield of 0.0283 or PTB Ratio of 1.74. Savaria financial statements analysis is a perfect complement when working with Savaria Valuation or Volatility modules.
  
This module can also supplement various Savaria Technical models . Check out the analysis of Savaria Correlation against competitors.

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.
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.
Pair CorrelationCorrelation Matching

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.