JS ATIVOS (Brazil) Market Value
JSAF11 Fund | 72.00 2.06 2.95% |
Symbol | JSAF11 |
JS ATIVOS '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 JS ATIVOS'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 JS ATIVOS.
12/26/2022 |
| 12/15/2024 |
If you would invest 0.00 in JS ATIVOS on December 26, 2022 and sell it all today you would earn a total of 0.00 from holding JS ATIVOS FINANCEIROS or generate 0.0% return on investment in JS ATIVOS over 720 days.
JS ATIVOS 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 JS ATIVOS'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 JS ATIVOS FINANCEIROS upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.30) | |||
Maximum Drawdown | 7.58 | |||
Value At Risk | (2.97) | |||
Potential Upside | 1.97 |
JS ATIVOS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JS ATIVOS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JS ATIVOS's standard deviation. In reality, there are many statistical measures that can use JS ATIVOS historical prices to predict the future JS ATIVOS's volatility.Risk Adjusted Performance | (0.17) | |||
Jensen Alpha | (0.42) | |||
Total Risk Alpha | (0.58) | |||
Treynor Ratio | (0.90) |
JS ATIVOS FINANCEIROS Backtested Returns
JS ATIVOS FINANCEIROS retains Efficiency (Sharpe Ratio) of -0.23, which attests that the entity had a -0.23% return per unit of price deviation over the last 3 months. JS ATIVOS exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JS ATIVOS's Information Ratio of (0.30), coefficient of variation of (421.64), and Market Risk Adjusted Performance of (0.89) to validate the risk estimate we provide. The fund owns a Beta (Systematic Risk) of 0.42, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, JS ATIVOS's returns are expected to increase less than the market. However, during the bear market, the loss of holding JS ATIVOS is expected to be smaller as well.
Auto-correlation | -0.6 |
Good reverse predictability
JS ATIVOS FINANCEIROS has good reverse predictability. Overlapping area represents the amount of predictability between JS ATIVOS time series from 26th of December 2022 to 21st of December 2023 and 21st of December 2023 to 15th 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 JS ATIVOS FINANCEIROS price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current JS ATIVOS price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.6 | |
Spearman Rank Test | -0.49 | |
Residual Average | 0.0 | |
Price Variance | 29.88 |
JS ATIVOS FINANCEIROS lagged returns against current returns
Autocorrelation, which is JS ATIVOS 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 JS ATIVOS's fund expected returns. We can calculate the autocorrelation of JS ATIVOS returns to help us make a trade decision. For example, suppose you find that JS ATIVOS 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 |
JS ATIVOS 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 JS ATIVOS fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JS ATIVOS fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JS ATIVOS fund over time.
Current vs Lagged Prices |
Timeline |
JS ATIVOS Lagged Returns
When evaluating JS ATIVOS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JS ATIVOS fund have on its future price. JS ATIVOS 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, JS ATIVOS autocorrelation shows the relationship between JS ATIVOS fund current value and its past values and can show if there is a momentum factor associated with investing in JS ATIVOS FINANCEIROS.
Regressed Prices |
Timeline |
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