FDO DE (Brazil) Market Value
GAME11 Fund | 8.62 0.06 0.69% |
Symbol | FDO |
FDO DE '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 FDO DE'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 FDO DE.
10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in FDO DE on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding FDO DE INVEST or generate 0.0% return on investment in FDO DE over 30 days.
FDO DE 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 FDO DE'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 FDO DE INVEST upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.32) | |||
Maximum Drawdown | 3.08 | |||
Value At Risk | (1.03) | |||
Potential Upside | 1.22 |
FDO DE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FDO DE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FDO DE's standard deviation. In reality, there are many statistical measures that can use FDO DE historical prices to predict the future FDO DE's volatility.Risk Adjusted Performance | (0.09) | |||
Jensen Alpha | (0.11) | |||
Total Risk Alpha | (0.18) | |||
Treynor Ratio | (0.49) |
FDO DE INVEST Backtested Returns
FDO DE INVEST secures Sharpe Ratio (or Efficiency) of -0.12, which denotes the fund had a -0.12% return per unit of risk over the last 3 months. FDO DE INVEST exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FDO DE's Coefficient Of Variation of (824.39), standard deviation of 0.6417, and Mean Deviation of 0.4668 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.18, which means not very significant fluctuations relative to the market. As returns on the market increase, FDO DE's returns are expected to increase less than the market. However, during the bear market, the loss of holding FDO DE is expected to be smaller as well.
Auto-correlation | -0.05 |
Very weak reverse predictability
FDO DE INVEST has very weak reverse predictability. Overlapping area represents the amount of predictability between FDO DE time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 FDO DE INVEST price movement. The serial correlation of -0.05 indicates that only as little as 5.0% of current FDO DE price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.05 | |
Spearman Rank Test | 0.25 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
FDO DE INVEST lagged returns against current returns
Autocorrelation, which is FDO DE 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 FDO DE's fund expected returns. We can calculate the autocorrelation of FDO DE returns to help us make a trade decision. For example, suppose you find that FDO DE 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 |
FDO DE 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 FDO DE fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FDO DE fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FDO DE fund over time.
Current vs Lagged Prices |
Timeline |
FDO DE Lagged Returns
When evaluating FDO DE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FDO DE fund have on its future price. FDO DE 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, FDO DE autocorrelation shows the relationship between FDO DE fund current value and its past values and can show if there is a momentum factor associated with investing in FDO DE INVEST.
Regressed Prices |
Timeline |
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