JS Real (Brazil) Market Value
| JSRE11 Fund | BRL 56.19 0.21 0.37% |
| Symbol | JSRE11 |
JS Real '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 Real'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 Real.
| 05/16/2024 |
| 12/12/2024 |
JS Real 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 Real'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 Real Estate upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 5.45 | |||
| Value At Risk | (2.04) | |||
| Potential Upside | 1.6 |
JS Real Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JS Real's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JS Real's standard deviation. In reality, there are many statistical measures that can use JS Real historical prices to predict the future JS Real's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | 1.22 |
JS Real Estate Backtested Returns
JS Real Estate retains Efficiency (Sharpe Ratio) of -0.12, which attests that the entity had a -0.12% return per unit of price deviation over the last 3 months. JS Real exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JS Real's Market Risk Adjusted Performance of 1.23, information ratio of (0.23), and Coefficient Of Variation of (840.87) to validate the risk estimate we provide. The fund owns a Beta (Systematic Risk) of -0.11, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning JS Real are expected to decrease at a much lower rate. During the bear market, JS Real is likely to outperform the market.
Auto-correlation | 0.24 |
Weak predictability
JS Real Estate has weak predictability. Overlapping area represents the amount of predictability between JS Real time series from 16th of May 2024 to 29th of August 2024 and 29th of August 2024 to 12th 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 Real Estate price movement. The serial correlation of 0.24 indicates that over 24.0% of current JS Real price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 3.18 |
JS Real Estate lagged returns against current returns
Autocorrelation, which is JS Real 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 Real's fund expected returns. We can calculate the autocorrelation of JS Real returns to help us make a trade decision. For example, suppose you find that JS Real 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 Real 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 Real fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JS Real fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JS Real fund over time.
Current vs Lagged Prices |
| Timeline |
JS Real Lagged Returns
When evaluating JS Real's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JS Real fund have on its future price. JS Real 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 Real autocorrelation shows the relationship between JS Real fund current value and its past values and can show if there is a momentum factor associated with investing in JS Real Estate.
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.Other Information on Investing in JSRE11 Fund
JS Real financial ratios help investors to determine whether JSRE11 Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in JSRE11 with respect to the benefits of owning JS Real security.
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