HIGH FUNDO (Brazil) Market Value
| HGAG11 Fund | 12.00 2.20 15.49% |
| Symbol | HIGH |
HIGH FUNDO '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 HIGH FUNDO'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 HIGH FUNDO.
| 06/05/2024 |
| 12/02/2024 |
If you would invest 0.00 in HIGH FUNDO on June 5, 2024 and sell it all today you would earn a total of 0.00 from holding HIGH FUNDO DE or generate 0.0% return on investment in HIGH FUNDO over 180 days.
HIGH FUNDO 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 HIGH FUNDO'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 HIGH FUNDO DE upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 27.75 | |||
| Value At Risk | (9.66) | |||
| Potential Upside | 7.01 |
HIGH FUNDO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HIGH FUNDO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HIGH FUNDO's standard deviation. In reality, there are many statistical measures that can use HIGH FUNDO historical prices to predict the future HIGH FUNDO's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.39) | |||
| Total Risk Alpha | (1.32) | |||
| Treynor Ratio | 0.9707 |
HIGH FUNDO DE Backtested Returns
HIGH FUNDO DE holds Efficiency (Sharpe) Ratio of -0.0921, which attests that the entity had a -0.0921% return per unit of return volatility over the last 3 months. HIGH FUNDO DE exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HIGH FUNDO's Coefficient Of Variation of (1,169), market risk adjusted performance of 0.9807, and Risk Adjusted Performance of (0.06) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of -0.47, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning HIGH FUNDO are expected to decrease at a much lower rate. During the bear market, HIGH FUNDO is likely to outperform the market.
Auto-correlation | -0.58 |
Good reverse predictability
HIGH FUNDO DE has good reverse predictability. Overlapping area represents the amount of predictability between HIGH FUNDO time series from 5th of June 2024 to 3rd of September 2024 and 3rd of September 2024 to 2nd 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 HIGH FUNDO DE price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current HIGH FUNDO price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 2.76 |
HIGH FUNDO DE lagged returns against current returns
Autocorrelation, which is HIGH FUNDO 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 HIGH FUNDO's fund expected returns. We can calculate the autocorrelation of HIGH FUNDO returns to help us make a trade decision. For example, suppose you find that HIGH FUNDO 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 |
HIGH FUNDO 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 HIGH FUNDO fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HIGH FUNDO fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HIGH FUNDO fund over time.
Current vs Lagged Prices |
| Timeline |
HIGH FUNDO Lagged Returns
When evaluating HIGH FUNDO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HIGH FUNDO fund have on its future price. HIGH FUNDO 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, HIGH FUNDO autocorrelation shows the relationship between HIGH FUNDO fund current value and its past values and can show if there is a momentum factor associated with investing in HIGH FUNDO DE.
Regressed Prices |
| Timeline |
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