Qualicorp Consultoria (Brazil) Market Value
QUAL3 Stock | BRL 1.63 0.03 1.81% |
Symbol | Qualicorp |
Qualicorp Consultoria '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 Qualicorp Consultoria's stock 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 Qualicorp Consultoria.
02/12/2024 |
| 05/12/2024 |
If you would invest 0.00 in Qualicorp Consultoria on February 12, 2024 and sell it all today you would earn a total of 0.00 from holding Qualicorp Consultoria e or generate 0.0% return on investment in Qualicorp Consultoria over 90 days. Qualicorp Consultoria is related to or competes with M Dias, Porto Seguro, Fleury SA, Grendene, and Hypera SA. Qualicorp Consultoria e Corretora de Seguros S.A More
Qualicorp Consultoria 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 Qualicorp Consultoria's stock 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 Qualicorp Consultoria e upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.07) | |||
Maximum Drawdown | 18.96 | |||
Value At Risk | (6.51) | |||
Potential Upside | 7.59 |
Qualicorp Consultoria Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Qualicorp Consultoria's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Qualicorp Consultoria's standard deviation. In reality, there are many statistical measures that can use Qualicorp Consultoria historical prices to predict the future Qualicorp Consultoria's volatility.Risk Adjusted Performance | (0.02) | |||
Jensen Alpha | (0.40) | |||
Total Risk Alpha | (0.72) | |||
Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Qualicorp Consultoria's 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.
Qualicorp Consultoria Backtested Returns
Qualicorp Consultoria maintains Sharpe Ratio (i.e., Efficiency) of -0.0483, which implies the firm had a -0.0483% return per unit of risk over the last 3 months. Qualicorp Consultoria exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Qualicorp Consultoria's Coefficient Of Variation of (2,073), variance of 18.11, and Risk Adjusted Performance of (0.02) to confirm the risk estimate we provide. The company holds a Beta of 2.48, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Qualicorp Consultoria will likely underperform. Qualicorp Consultoria has an expected return of -0.21%. Please make sure to check Qualicorp Consultoria jensen alpha, treynor ratio, and the relationship between the standard deviation and total risk alpha , to decide if Qualicorp Consultoria performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.6 |
Good reverse predictability
Qualicorp Consultoria e has good reverse predictability. Overlapping area represents the amount of predictability between Qualicorp Consultoria time series from 12th of February 2024 to 28th of March 2024 and 28th of March 2024 to 12th 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 Qualicorp Consultoria price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current Qualicorp Consultoria price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.6 | |
Spearman Rank Test | -0.06 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
Qualicorp Consultoria lagged returns against current returns
Autocorrelation, which is Qualicorp Consultoria stock'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 Qualicorp Consultoria's stock expected returns. We can calculate the autocorrelation of Qualicorp Consultoria returns to help us make a trade decision. For example, suppose you find that Qualicorp Consultoria has exhibited high autocorrelation historically, and you observe that the stock 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 |
Qualicorp Consultoria 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 Qualicorp Consultoria stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Qualicorp Consultoria stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Qualicorp Consultoria stock over time.
Current vs Lagged Prices |
Timeline |
Qualicorp Consultoria Lagged Returns
When evaluating Qualicorp Consultoria's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Qualicorp Consultoria stock have on its future price. Qualicorp Consultoria 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, Qualicorp Consultoria autocorrelation shows the relationship between Qualicorp Consultoria stock current value and its past values and can show if there is a momentum factor associated with investing in Qualicorp Consultoria e.
Regressed Prices |
Timeline |
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Check out Qualicorp Consultoria Correlation, Qualicorp Consultoria Volatility and Qualicorp Consultoria Alpha and Beta module to complement your research on Qualicorp Consultoria. Note that the Qualicorp Consultoria information on this page should be used as a complementary analysis to other Qualicorp Consultoria's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Complementary Tools for Qualicorp Stock analysis
When running Qualicorp Consultoria's price analysis, check to measure Qualicorp Consultoria's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Qualicorp Consultoria is operating at the current time. Most of Qualicorp Consultoria's value examination focuses on studying past and present price action to predict the probability of Qualicorp Consultoria's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qualicorp Consultoria's price. Additionally, you may evaluate how the addition of Qualicorp Consultoria to your portfolios can decrease your overall portfolio volatility.
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Qualicorp Consultoria technical stock 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, stock market cycles, or different charting patterns.