Hsi Malls (Brazil) Market Value
| HSML11 Fund | BRL 97.47 1.93 2.02% |
| Symbol | Hsi |
Hsi Malls '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 Hsi Malls' 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 Hsi Malls.
| 04/03/2024 |
| 05/03/2024 |
If you would invest 0.00 in Hsi Malls on April 3, 2024 and sell it all today you would earn a total of 0.00 from holding Hsi Malls Fundo or generate 0.0% return on investment in Hsi Malls over 30 days. More
Hsi Malls 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 Hsi Malls' 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 Hsi Malls Fundo upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 2.17 | |||
| Value At Risk | (0.96) | |||
| Potential Upside | 0.5741 |
Hsi Malls Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hsi Malls' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hsi Malls' standard deviation. In reality, there are many statistical measures that can use Hsi Malls historical prices to predict the future Hsi Malls' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | (0.16) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hsi Malls' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hsi Malls Fundo Backtested Returns
Hsi Malls Fundo holds Efficiency (Sharpe) Ratio of -0.0412, which attests that the entity had a -0.0412% return per unit of risk over the last 3 months. Hsi Malls Fundo exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hsi Malls' Market Risk Adjusted Performance of (0.15), risk adjusted performance of (0.02), and Standard Deviation of 0.4773 to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.13, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Hsi Malls' returns are expected to increase less than the market. However, during the bear market, the loss of holding Hsi Malls is expected to be smaller as well.
Auto-correlation | -0.5 |
Modest reverse predictability
Hsi Malls Fundo has modest reverse predictability. Overlapping area represents the amount of predictability between Hsi Malls time series from 3rd of April 2024 to 18th of April 2024 and 18th of April 2024 to 3rd of May 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 Hsi Malls Fundo price movement. The serial correlation of -0.5 indicates that about 50.0% of current Hsi Malls price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.93 |
Hsi Malls Fundo lagged returns against current returns
Autocorrelation, which is Hsi Malls 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 Hsi Malls' fund expected returns. We can calculate the autocorrelation of Hsi Malls returns to help us make a trade decision. For example, suppose you find that Hsi Malls 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 |
Hsi Malls 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 Hsi Malls fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hsi Malls fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hsi Malls fund over time.
Current vs Lagged Prices |
| Timeline |
Hsi Malls Lagged Returns
When evaluating Hsi Malls' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hsi Malls fund have on its future price. Hsi Malls 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, Hsi Malls autocorrelation shows the relationship between Hsi Malls fund current value and its past values and can show if there is a momentum factor associated with investing in Hsi Malls Fundo.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Hsi Malls in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Hsi Malls' short interest history, or implied volatility extrapolated from Hsi Malls options trading.
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Hsi Malls technical fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.