Real Estate (Brazil) Market Value
NCHB11 Fund | BRL 8.32 0.02 0.24% |
Symbol | Real |
Please note, there is a significant difference between Real Estate's value and its price as these two are different measures arrived at by different means. Investors typically determine if Real Estate is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Real Estate's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Real Estate '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 Real Estate'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 Real Estate.
12/05/2022 |
| 11/24/2024 |
Real Estate 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 Real Estate'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 Real Estate Investment upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.24) | |||
Maximum Drawdown | 6.83 | |||
Value At Risk | (1.39) | |||
Potential Upside | 1.54 |
Real Estate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Real Estate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Real Estate's standard deviation. In reality, there are many statistical measures that can use Real Estate historical prices to predict the future Real Estate's volatility.Risk Adjusted Performance | (0.08) | |||
Jensen Alpha | (0.14) | |||
Total Risk Alpha | (0.28) | |||
Treynor Ratio | (0.85) |
Real Estate Investment Backtested Returns
Real Estate Investment maintains Sharpe Ratio (i.e., Efficiency) of -0.11, which implies the entity had a -0.11% return per unit of risk over the last 3 months. Real Estate Investment exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Real Estate's Risk Adjusted Performance of (0.08), coefficient of variation of (895.61), and Variance of 0.9833 to confirm the risk estimate we provide. The fund holds a Beta of 0.14, which implies not very significant fluctuations relative to the market. As returns on the market increase, Real Estate's returns are expected to increase less than the market. However, during the bear market, the loss of holding Real Estate is expected to be smaller as well.
Auto-correlation | 0.13 |
Insignificant predictability
Real Estate Investment has insignificant predictability. Overlapping area represents the amount of predictability between Real Estate time series from 5th of December 2022 to 30th of November 2023 and 30th of November 2023 to 24th of November 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 Real Estate Investment price movement. The serial correlation of 0.13 indicates that less than 13.0% of current Real Estate price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.13 | |
Spearman Rank Test | 0.06 | |
Residual Average | 0.0 | |
Price Variance | 0.1 |
Real Estate Investment lagged returns against current returns
Autocorrelation, which is Real Estate 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 Real Estate's fund expected returns. We can calculate the autocorrelation of Real Estate returns to help us make a trade decision. For example, suppose you find that Real Estate 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 |
Real Estate 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 Real Estate fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Real Estate fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Real Estate fund over time.
Current vs Lagged Prices |
Timeline |
Real Estate Lagged Returns
When evaluating Real Estate's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Real Estate fund have on its future price. Real Estate 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, Real Estate autocorrelation shows the relationship between Real Estate fund current value and its past values and can show if there is a momentum factor associated with investing in Real Estate Investment.
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 Real Fund
Real Estate financial ratios help investors to determine whether Real 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 Real with respect to the benefits of owning Real Estate security.
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