Sangoma Income Quality from 2010 to 2024
| STC Stock | 10.02 0.03 0.30% |
Income Quality | First Reported 2010-12-31 | Previous Quarter (5.11) | Current Value 0.5 | Quarterly Volatility 11.10186711 |
Check Sangoma Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Sangoma Technologies' main balance sheet or income statement drivers, such as Depreciation And Amortization of 73 M, Total Revenue of 259.6 M or Gross Profit of 181.5 M, as well as many indicators such as Price To Sales Ratio of 1.54, Dividend Yield of 0.0336 or Days Sales Outstanding of 182. Sangoma financial statements analysis is a perfect complement when working with Sangoma Technologies Valuation or Volatility modules.
Sangoma | Income Quality |
Pair Trading with Sangoma Technologies
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 Sangoma Technologies 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 Sangoma Technologies will appreciate offsetting losses from the drop in the long position's value.Moving together with Sangoma Stock
Moving against Sangoma Stock
| 0.94 | RCI-A | Rogers Communications | PairCorr |
| 0.68 | CCL-A | CCL Industries | PairCorr |
| 0.52 | GFR | Greenfire Resources | PairCorr |
| 0.37 | RG | Romios Gold Resources | PairCorr |
| 0.32 | ARA | Aclara Resources | PairCorr |
The ability to find closely correlated positions to Sangoma Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sangoma Technologies 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 Sangoma Technologies - 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 Sangoma Technologies Corp to buy it.
The correlation of Sangoma Technologies 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 Sangoma Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sangoma Technologies Corp 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 Sangoma Technologies 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 the analysis of Sangoma Technologies Correlation against competitors. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.