QEM (Australia) Market Value
| QEM Stock | 0.02 0 5.56% |
| Symbol | QEM |
QEM '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 QEM'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 QEM.
| 12/04/2023 |
| 11/23/2025 |
If you would invest 0.00 in QEM on December 4, 2023 and sell it all today you would earn a total of 0.00 from holding QEM or generate 0.0% return on investment in QEM over 720 days. QEM is related to or competes with Westpac Banking, and Abacus Storage. QEM is entity of Australia. It is traded as Stock on AU exchange. More
QEM 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 QEM'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 QEM upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 47.26 | |||
| Value At Risk | (10.00) | |||
| Potential Upside | 11.11 |
QEM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for QEM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as QEM's standard deviation. In reality, there are many statistical measures that can use QEM historical prices to predict the future QEM's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.86) | |||
| Total Risk Alpha | (1.15) | |||
| Treynor Ratio | (0.25) |
QEM Backtested Returns
QEM maintains Sharpe Ratio (i.e., Efficiency) of -0.13, which implies the firm had a -0.13 % return per unit of volatility over the last 3 months. QEM exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check QEM's risk adjusted performance of (0.06), and Coefficient Of Variation of (980.11) to confirm the risk estimate we provide. The company holds a Beta of 3.0, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, QEM will likely underperform. At this point, QEM has a negative expected return of -0.91%. Please make sure to check QEM's treynor ratio, skewness, and the relationship between the total risk alpha and potential upside , to decide if QEM performance from the past will be repeated at future time.
Auto-correlation | 0.76 |
Good predictability
QEM has good predictability. Overlapping area represents the amount of predictability between QEM time series from 4th of December 2023 to 28th of November 2024 and 28th of November 2024 to 23rd of November 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of QEM price movement. The serial correlation of 0.76 indicates that around 76.0% of current QEM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
QEM lagged returns against current returns
Autocorrelation, which is QEM 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 QEM's stock expected returns. We can calculate the autocorrelation of QEM returns to help us make a trade decision. For example, suppose you find that QEM 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 |
QEM 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 QEM stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if QEM stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in QEM stock over time.
Current vs Lagged Prices |
| Timeline |
QEM Lagged Returns
When evaluating QEM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of QEM stock have on its future price. QEM 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, QEM autocorrelation shows the relationship between QEM stock current value and its past values and can show if there is a momentum factor associated with investing in QEM.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for QEM Stock Analysis
When running QEM's price analysis, check to measure QEM'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 QEM is operating at the current time. Most of QEM's value examination focuses on studying past and present price action to predict the probability of QEM's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move QEM's price. Additionally, you may evaluate how the addition of QEM to your portfolios can decrease your overall portfolio volatility.