Sensen Networks (Australia) Market Value
| SNS Stock | 0.04 0 9.76% |
| Symbol | Sensen |
Sensen Networks '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 Sensen Networks' 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 Sensen Networks.
| 11/21/2024 |
| 12/21/2024 |
If you would invest 0.00 in Sensen Networks on November 21, 2024 and sell it all today you would earn a total of 0.00 from holding Sensen Networks or generate 0.0% return on investment in Sensen Networks over 30 days. Sensen Networks is related to or competes with Encounter Resources, and Elevate Uranium. Sensen Networks is entity of Australia. It is traded as Stock on AU exchange. More
Sensen Networks 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 Sensen Networks' 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 Sensen Networks upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 23.76 | |||
| Value At Risk | (8.20) | |||
| Potential Upside | 7.55 |
Sensen Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sensen Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sensen Networks' standard deviation. In reality, there are many statistical measures that can use Sensen Networks historical prices to predict the future Sensen Networks' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.33) | |||
| Treynor Ratio | 0.8356 |
Sensen Networks Backtested Returns
Sensen Networks owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0394, which indicates the firm had a -0.0394% return per unit of risk over the last 3 months. Sensen Networks exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sensen Networks' Risk Adjusted Performance of (0.02), coefficient of variation of (2,558), and Variance of 22.46 to confirm the risk estimate we provide. The entity has a beta of -0.23, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Sensen Networks are expected to decrease at a much lower rate. During the bear market, Sensen Networks is likely to outperform the market. At this point, Sensen Networks has a negative expected return of -0.19%. Please make sure to validate Sensen Networks' maximum drawdown, potential upside, kurtosis, as well as the relationship between the value at risk and skewness , to decide if Sensen Networks performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.68 |
Good predictability
Sensen Networks has good predictability. Overlapping area represents the amount of predictability between Sensen Networks time series from 21st of November 2024 to 6th of December 2024 and 6th of December 2024 to 21st 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 Sensen Networks price movement. The serial correlation of 0.68 indicates that around 68.0% of current Sensen Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.68 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sensen Networks lagged returns against current returns
Autocorrelation, which is Sensen Networks 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 Sensen Networks' stock expected returns. We can calculate the autocorrelation of Sensen Networks returns to help us make a trade decision. For example, suppose you find that Sensen Networks 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 |
Sensen Networks 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 Sensen Networks stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sensen Networks stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sensen Networks stock over time.
Current vs Lagged Prices |
| Timeline |
Sensen Networks Lagged Returns
When evaluating Sensen Networks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sensen Networks stock have on its future price. Sensen Networks 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, Sensen Networks autocorrelation shows the relationship between Sensen Networks stock current value and its past values and can show if there is a momentum factor associated with investing in Sensen Networks.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Sensen Stock Analysis
When running Sensen Networks' price analysis, check to measure Sensen Networks' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Sensen Networks is operating at the current time. Most of Sensen Networks' value examination focuses on studying past and present price action to predict the probability of Sensen Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sensen Networks' price. Additionally, you may evaluate how the addition of Sensen Networks to your portfolios can decrease your overall portfolio volatility.