Silex Systems (Australia) Market Value
| SLX Stock | 5.91 0.30 5.35% |
| Symbol | Silex |
Silex Systems '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 Silex Systems' 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 Silex Systems.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in Silex Systems on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding Silex Systems or generate 0.0% return on investment in Silex Systems over 30 days. Silex Systems is related to or competes with TPG Telecom, Insignia Financial, Perpetual Credit, Westpac Banking, Autosports, and Auswide Bank. Silex Systems is entity of Australia. It is traded as Stock on AU exchange. More
Silex Systems 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 Silex Systems' 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 Silex Systems upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.87 | |||
| Information Ratio | 0.1486 | |||
| Maximum Drawdown | 19.91 | |||
| Value At Risk | (5.01) | |||
| Potential Upside | 7.79 |
Silex Systems Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Silex Systems' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Silex Systems' standard deviation. In reality, there are many statistical measures that can use Silex Systems historical prices to predict the future Silex Systems' volatility.| Risk Adjusted Performance | 0.1451 | |||
| Jensen Alpha | 0.6356 | |||
| Total Risk Alpha | 0.1104 | |||
| Sortino Ratio | 0.2091 | |||
| Treynor Ratio | 1.03 |
Silex Systems Backtested Returns
Silex Systems appears to be moderately volatile, given 3 months investment horizon. Silex Systems owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.21, which indicates the firm had a 0.21% return per unit of risk over the last 3 months. By inspecting Silex Systems' technical indicators, you can evaluate if the expected return of 0.84% is justified by implied risk. Please review Silex Systems' Coefficient Of Variation of 557.59, risk adjusted performance of 0.1451, and Semi Deviation of 2.61 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Silex Systems holds a performance score of 16. The entity has a beta of 0.7, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Silex Systems' returns are expected to increase less than the market. However, during the bear market, the loss of holding Silex Systems is expected to be smaller as well. Please check Silex Systems' sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to make a quick decision on whether Silex Systems' existing price patterns will revert.
Auto-correlation | 0.42 |
Average predictability
Silex Systems has average predictability. Overlapping area represents the amount of predictability between Silex Systems time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd 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 Silex Systems price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Silex Systems price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Silex Systems lagged returns against current returns
Autocorrelation, which is Silex Systems 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 Silex Systems' stock expected returns. We can calculate the autocorrelation of Silex Systems returns to help us make a trade decision. For example, suppose you find that Silex Systems 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 |
Silex Systems 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 Silex Systems stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Silex Systems stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Silex Systems stock over time.
Current vs Lagged Prices |
| Timeline |
Silex Systems Lagged Returns
When evaluating Silex Systems' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Silex Systems stock have on its future price. Silex Systems 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, Silex Systems autocorrelation shows the relationship between Silex Systems stock current value and its past values and can show if there is a momentum factor associated with investing in Silex Systems.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Silex Stock Analysis
When running Silex Systems' price analysis, check to measure Silex Systems' 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 Silex Systems is operating at the current time. Most of Silex Systems' value examination focuses on studying past and present price action to predict the probability of Silex Systems' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silex Systems' price. Additionally, you may evaluate how the addition of Silex Systems to your portfolios can decrease your overall portfolio volatility.