FSA (Australia) Market Value
| FSA Stock | 0.81 0.02 2.53% |
| Symbol | FSA |
FSA '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 FSA'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 FSA.
| 12/03/2023 |
| 11/27/2024 |
If you would invest 0.00 in FSA on December 3, 2023 and sell it all today you would earn a total of 0.00 from holding FSA Group or generate 0.0% return on investment in FSA over 360 days. FSA is related to or competes with Collins Foods, Treasury Wine, and Kip McGrath. FSA is entity of Australia. It is traded as Stock on AU exchange. More
FSA 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 FSA'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 FSA Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 11.96 | |||
| Value At Risk | (2.35) | |||
| Potential Upside | 3.45 |
FSA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FSA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FSA's standard deviation. In reality, there are many statistical measures that can use FSA historical prices to predict the future FSA's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.32) | |||
| Treynor Ratio | (0.76) |
FSA Group Backtested Returns
FSA Group retains Efficiency (Sharpe Ratio) of -0.0576, which denotes the company had a -0.0576% return per unit of risk over the last 3 months. FSA exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FSA's Variance of 3.02, market risk adjusted performance of (0.75), and Standard Deviation of 1.74 to check the risk estimate we provide. The firm owns a Beta (Systematic Risk) of 0.0663, which means not very significant fluctuations relative to the market. As returns on the market increase, FSA's returns are expected to increase less than the market. However, during the bear market, the loss of holding FSA is expected to be smaller as well. At this point, FSA Group has a negative expected return of -0.0975%. Please make sure to confirm FSA's market risk adjusted performance, coefficient of variation, information ratio, as well as the relationship between the mean deviation and standard deviation , to decide if FSA Group performance from the past will be repeated in the future.
Auto-correlation | 0.24 |
Weak predictability
FSA Group has weak predictability. Overlapping area represents the amount of predictability between FSA time series from 3rd of December 2023 to 31st of May 2024 and 31st of May 2024 to 27th 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 FSA Group price movement. The serial correlation of 0.24 indicates that over 24.0% of current FSA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
FSA Group lagged returns against current returns
Autocorrelation, which is FSA 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 FSA's stock expected returns. We can calculate the autocorrelation of FSA returns to help us make a trade decision. For example, suppose you find that FSA 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 |
FSA 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 FSA stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FSA stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FSA stock over time.
Current vs Lagged Prices |
| Timeline |
FSA Lagged Returns
When evaluating FSA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FSA stock have on its future price. FSA 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, FSA autocorrelation shows the relationship between FSA stock current value and its past values and can show if there is a momentum factor associated with investing in FSA Group.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for FSA Stock Analysis
When running FSA's price analysis, check to measure FSA'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 FSA is operating at the current time. Most of FSA's value examination focuses on studying past and present price action to predict the probability of FSA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FSA's price. Additionally, you may evaluate how the addition of FSA to your portfolios can decrease your overall portfolio volatility.