ASA METROPOLIS (Brazil) Market Value
| ASMT11 Fund | 39.00 0.47 1.19% |
| Symbol | ASA |
ASA METROPOLIS '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 ASA METROPOLIS's fund 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 ASA METROPOLIS.
| 06/17/2024 |
| 12/14/2024 |
If you would invest 0.00 in ASA METROPOLIS on June 17, 2024 and sell it all today you would earn a total of 0.00 from holding ASA METROPOLIS FUNDO or generate 0.0% return on investment in ASA METROPOLIS over 180 days.
ASA METROPOLIS 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 ASA METROPOLIS's fund 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 ASA METROPOLIS FUNDO upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.78 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 15.15 | |||
| Value At Risk | (3.70) | |||
| Potential Upside | 6.03 |
ASA METROPOLIS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ASA METROPOLIS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ASA METROPOLIS's standard deviation. In reality, there are many statistical measures that can use ASA METROPOLIS historical prices to predict the future ASA METROPOLIS's volatility.| Risk Adjusted Performance | 0.0212 | |||
| Jensen Alpha | 0.075 | |||
| Total Risk Alpha | (0.30) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.12) |
ASA METROPOLIS FUNDO Backtested Returns
ASA METROPOLIS FUNDO retains Efficiency (Sharpe Ratio) of -0.0219, which signifies that the fund had a -0.0219% return per unit of risk over the last 3 months. ASA METROPOLIS exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ASA METROPOLIS's coefficient of variation of 5239.2, and Market Risk Adjusted Performance of (0.11) to double-check the risk estimate we provide. The fund owns a Beta (Systematic Risk) of -0.35, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning ASA METROPOLIS are expected to decrease at a much lower rate. During the bear market, ASA METROPOLIS is likely to outperform the market.
Auto-correlation | 0.43 |
Average predictability
ASA METROPOLIS FUNDO has average predictability. Overlapping area represents the amount of predictability between ASA METROPOLIS time series from 17th of June 2024 to 15th of September 2024 and 15th of September 2024 to 14th 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 ASA METROPOLIS FUNDO price movement. The serial correlation of 0.43 indicates that just about 43.0% of current ASA METROPOLIS price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 3.28 |
ASA METROPOLIS FUNDO lagged returns against current returns
Autocorrelation, which is ASA METROPOLIS fund'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 ASA METROPOLIS's fund expected returns. We can calculate the autocorrelation of ASA METROPOLIS returns to help us make a trade decision. For example, suppose you find that ASA METROPOLIS has exhibited high autocorrelation historically, and you observe that the fund 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 |
ASA METROPOLIS 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 ASA METROPOLIS fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ASA METROPOLIS fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ASA METROPOLIS fund over time.
Current vs Lagged Prices |
| Timeline |
ASA METROPOLIS Lagged Returns
When evaluating ASA METROPOLIS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ASA METROPOLIS fund have on its future price. ASA METROPOLIS 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, ASA METROPOLIS autocorrelation shows the relationship between ASA METROPOLIS fund current value and its past values and can show if there is a momentum factor associated with investing in ASA METROPOLIS FUNDO.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation |