Sims (Australia) Market Value
| SGM Stock | 13.11 0.32 2.38% |
| Symbol | Sims |
Sims '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 Sims' 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 Sims.
| 10/05/2024 |
| 12/04/2024 |
If you would invest 0.00 in Sims on October 5, 2024 and sell it all today you would earn a total of 0.00 from holding Sims or generate 0.0% return on investment in Sims over 60 days. Sims is related to or competes with Flagship Investments, Australian United, REGAL ASIAN, Gold Road, Aussie Broadband, and Sandon Capital. Sims is entity of Australia. It is traded as Stock on AU exchange. More
Sims 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 Sims' 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 Sims upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.56 | |||
| Information Ratio | 0.1031 | |||
| Maximum Drawdown | 17.08 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 3.86 |
Sims Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sims' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sims' standard deviation. In reality, there are many statistical measures that can use Sims historical prices to predict the future Sims' volatility.| Risk Adjusted Performance | 0.1246 | |||
| Jensen Alpha | 0.2437 | |||
| Total Risk Alpha | 0.0323 | |||
| Sortino Ratio | 0.1448 | |||
| Treynor Ratio | 0.3965 |
Sims Backtested Returns
Sims appears to be not too volatile, given 3 months investment horizon. Sims owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the firm had a 0.15% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Sims, which you can use to evaluate the volatility of the company. Please review Sims' Coefficient Of Variation of 646.36, risk adjusted performance of 0.1246, and Semi Deviation of 1.24 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sims holds a performance score of 12. The entity has a beta of 0.83, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sims' returns are expected to increase less than the market. However, during the bear market, the loss of holding Sims is expected to be smaller as well. Please check Sims' sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to make a quick decision on whether Sims' existing price patterns will revert.
Auto-correlation | -0.47 |
Modest reverse predictability
Sims has modest reverse predictability. Overlapping area represents the amount of predictability between Sims time series from 5th of October 2024 to 4th of November 2024 and 4th of November 2024 to 4th 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 Sims price movement. The serial correlation of -0.47 indicates that about 47.0% of current Sims price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Sims lagged returns against current returns
Autocorrelation, which is Sims 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 Sims' stock expected returns. We can calculate the autocorrelation of Sims returns to help us make a trade decision. For example, suppose you find that Sims 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 |
Sims 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 Sims stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sims stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sims stock over time.
Current vs Lagged Prices |
| Timeline |
Sims Lagged Returns
When evaluating Sims' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sims stock have on its future price. Sims 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, Sims autocorrelation shows the relationship between Sims stock current value and its past values and can show if there is a momentum factor associated with investing in Sims.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Sims Stock Analysis
When running Sims' price analysis, check to measure Sims' 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 Sims is operating at the current time. Most of Sims' value examination focuses on studying past and present price action to predict the probability of Sims' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sims' price. Additionally, you may evaluate how the addition of Sims to your portfolios can decrease your overall portfolio volatility.