SG Fleet (Australia) Market Value
| SGF Stock | 3.41 0.01 0.29% |
| Symbol | SGF |
SG Fleet '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 SG Fleet's 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 SG Fleet.
| 01/07/2023 |
| 12/27/2024 |
If you would invest 0.00 in SG Fleet on January 7, 2023 and sell it all today you would earn a total of 0.00 from holding SG Fleet Group or generate 0.0% return on investment in SG Fleet over 720 days. SG Fleet is related to or competes with Southern Cross, Encounter Resources, Elevate Uranium, and Peel Mining. SG Fleet is entity of Australia. It is traded as Stock on AU exchange. More
SG Fleet 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 SG Fleet's 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 SG Fleet Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7902 | |||
| Information Ratio | 0.1694 | |||
| Maximum Drawdown | 18.94 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 2.24 |
SG Fleet Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SG Fleet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SG Fleet's standard deviation. In reality, there are many statistical measures that can use SG Fleet historical prices to predict the future SG Fleet's volatility.| Risk Adjusted Performance | 0.1588 | |||
| Jensen Alpha | 0.4483 | |||
| Total Risk Alpha | 0.32 | |||
| Sortino Ratio | 0.5163 | |||
| Treynor Ratio | 6.72 |
SG Fleet Group Backtested Returns
SG Fleet appears to be moderately volatile, given 3 months investment horizon. SG Fleet Group retains Efficiency (Sharpe Ratio) of 0.21, which indicates the firm had a 0.21% return per unit of price deviation over the last 3 months. By examining SG Fleet's technical indicators, you can evaluate if the expected return of 0.52% is justified by implied risk. Please review SG Fleet's Risk Adjusted Performance of 0.1588, mean deviation of 1.01, and Coefficient Of Variation of 522.02 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SG Fleet holds a performance score of 16. The entity owns a Beta (Systematic Risk) of 0.0671, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SG Fleet's returns are expected to increase less than the market. However, during the bear market, the loss of holding SG Fleet is expected to be smaller as well. Please check SG Fleet's market risk adjusted performance, downside deviation, standard deviation, as well as the relationship between the mean deviation and coefficient of variation , to make a quick decision on whether SG Fleet's current price history will revert.
Auto-correlation | 0.27 |
Poor predictability
SG Fleet Group has poor predictability. Overlapping area represents the amount of predictability between SG Fleet time series from 7th of January 2023 to 2nd of January 2024 and 2nd of January 2024 to 27th 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 SG Fleet Group price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current SG Fleet price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
SG Fleet Group lagged returns against current returns
Autocorrelation, which is SG Fleet 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 SG Fleet's stock expected returns. We can calculate the autocorrelation of SG Fleet returns to help us make a trade decision. For example, suppose you find that SG Fleet 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 |
SG Fleet 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 SG Fleet stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SG Fleet stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SG Fleet stock over time.
Current vs Lagged Prices |
| Timeline |
SG Fleet Lagged Returns
When evaluating SG Fleet's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SG Fleet stock have on its future price. SG Fleet 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, SG Fleet autocorrelation shows the relationship between SG Fleet stock current value and its past values and can show if there is a momentum factor associated with investing in SG Fleet Group.
Regressed Prices |
| Timeline |
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Additional Tools for SGF Stock Analysis
When running SG Fleet's price analysis, check to measure SG Fleet's 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 SG Fleet is operating at the current time. Most of SG Fleet's value examination focuses on studying past and present price action to predict the probability of SG Fleet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SG Fleet's price. Additionally, you may evaluate how the addition of SG Fleet to your portfolios can decrease your overall portfolio volatility.