Sangoma Technologies Corp Stock Market Value
| STC Stock | 8.70 0.10 1.16% |
| Symbol | Sangoma |
Sangoma Technologies Corp Price To Book Ratio
Sangoma Technologies '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 Sangoma Technologies' 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 Sangoma Technologies.
| 05/30/2024 |
| 11/26/2024 |
If you would invest 0.00 in Sangoma Technologies on May 30, 2024 and sell it all today you would earn a total of 0.00 from holding Sangoma Technologies Corp or generate 0.0% return on investment in Sangoma Technologies over 180 days. Sangoma Technologies is related to or competes with Sylogist, Converge Technology, Propel Holdings, Vitalhub Corp, and Topicus. Sangoma Technologies is entity of Canada More
Sangoma Technologies 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 Sangoma Technologies' 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 Sangoma Technologies Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.82 | |||
| Information Ratio | 0.0625 | |||
| Maximum Drawdown | 16.4 | |||
| Value At Risk | (2.97) | |||
| Potential Upside | 4.65 |
Sangoma Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sangoma Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sangoma Technologies' standard deviation. In reality, there are many statistical measures that can use Sangoma Technologies historical prices to predict the future Sangoma Technologies' volatility.| Risk Adjusted Performance | 0.0935 | |||
| Jensen Alpha | 0.2936 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | 0.0564 | |||
| Treynor Ratio | (2.07) |
Sangoma Technologies Corp Backtested Returns
Sangoma Technologies appears to be somewhat reliable, given 3 months investment horizon. Sangoma Technologies Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the firm had a 0.13% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Sangoma Technologies Corp, which you can use to evaluate the volatility of the company. Please review Sangoma Technologies' Coefficient Of Variation of 883.89, semi deviation of 2.22, and Risk Adjusted Performance of 0.0935 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sangoma Technologies holds a performance score of 10. The entity has a beta of -0.13, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Sangoma Technologies are expected to decrease at a much lower rate. During the bear market, Sangoma Technologies is likely to outperform the market. Please check Sangoma Technologies' semi variance, and the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether Sangoma Technologies' existing price patterns will revert.
Auto-correlation | -0.34 |
Poor reverse predictability
Sangoma Technologies Corp has poor reverse predictability. Overlapping area represents the amount of predictability between Sangoma Technologies time series from 30th of May 2024 to 28th of August 2024 and 28th of August 2024 to 26th of November 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 Sangoma Technologies Corp price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current Sangoma Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.33 |
Sangoma Technologies Corp lagged returns against current returns
Autocorrelation, which is Sangoma Technologies 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 Sangoma Technologies' stock expected returns. We can calculate the autocorrelation of Sangoma Technologies returns to help us make a trade decision. For example, suppose you find that Sangoma Technologies 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 |
Sangoma Technologies 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 Sangoma Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sangoma Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sangoma Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Sangoma Technologies Lagged Returns
When evaluating Sangoma Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sangoma Technologies stock have on its future price. Sangoma Technologies 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, Sangoma Technologies autocorrelation shows the relationship between Sangoma Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Sangoma Technologies Corp.
Regressed Prices |
| Timeline |
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
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 Sangoma Technologies Correlation, Sangoma Technologies Volatility and Sangoma Technologies Alpha and Beta module to complement your research on Sangoma Technologies. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Sangoma Technologies 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.