General Shopping (Brazil) Market Value
GSHP3 Stock | BRL 10.80 0.00 0.00% |
Symbol | General |
General Shopping '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 General Shopping'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 General Shopping.
10/20/2023 |
| 04/17/2024 |
If you would invest 0.00 in General Shopping on October 20, 2023 and sell it all today you would earn a total of 0.00 from holding General Shopping e or generate 0.0% return on investment in General Shopping over 180 days. General Shopping is related to or competes with Tecnisa SA, Marcopolo, T4F Entretenimento, and Centro De. General Shopping e Outlets do Brasil S.A More
General Shopping 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 General Shopping'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 General Shopping e upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.09) | |||
Maximum Drawdown | 29.26 | |||
Value At Risk | (3.38) |
General Shopping Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for General Shopping's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as General Shopping's standard deviation. In reality, there are many statistical measures that can use General Shopping historical prices to predict the future General Shopping's volatility.Risk Adjusted Performance | (0.04) | |||
Jensen Alpha | (0.19) | |||
Total Risk Alpha | (0.40) | |||
Treynor Ratio | 2.99 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of General Shopping'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.
General Shopping e Backtested Returns
General Shopping e holds Efficiency (Sharpe) Ratio of -0.24, which attests that the entity had a -0.24% return per unit of risk over the last 3 months. General Shopping e exposes seventeen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out General Shopping's Standard Deviation of 2.72, risk adjusted performance of (0.04), and Market Risk Adjusted Performance of 3.0 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.0656, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning General Shopping are expected to decrease at a much lower rate. During the bear market, General Shopping is likely to outperform the market. General Shopping e has an expected return of -0.46%. Please make sure to check out General Shopping information ratio, maximum drawdown, skewness, as well as the relationship between the jensen alpha and value at risk , to decide if General Shopping e performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.14 |
Insignificant predictability
General Shopping e has insignificant predictability. Overlapping area represents the amount of predictability between General Shopping time series from 20th of October 2023 to 18th of January 2024 and 18th of January 2024 to 17th of April 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 General Shopping e price movement. The serial correlation of 0.14 indicates that less than 14.0% of current General Shopping price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.14 | |
Spearman Rank Test | -0.17 | |
Residual Average | 0.0 | |
Price Variance | 2.26 |
General Shopping e lagged returns against current returns
Autocorrelation, which is General Shopping 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 General Shopping's stock expected returns. We can calculate the autocorrelation of General Shopping returns to help us make a trade decision. For example, suppose you find that General Shopping 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 |
General Shopping 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 General Shopping stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if General Shopping stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in General Shopping stock over time.
Current vs Lagged Prices |
Timeline |
General Shopping Lagged Returns
When evaluating General Shopping's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of General Shopping stock have on its future price. General Shopping 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, General Shopping autocorrelation shows the relationship between General Shopping stock current value and its past values and can show if there is a momentum factor associated with investing in General Shopping e.
Regressed Prices |
Timeline |
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Try AI Portfolio ArchitectCheck out General Shopping Correlation, General Shopping Volatility and General Shopping Alpha and Beta module to complement your research on General Shopping. Note that the General Shopping e information on this page should be used as a complementary analysis to other General Shopping'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 Commodity Directory module to find actively traded commodities issued by global exchanges.
Complementary Tools for General Stock analysis
When running General Shopping's price analysis, check to measure General Shopping'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 General Shopping is operating at the current time. Most of General Shopping's value examination focuses on studying past and present price action to predict the probability of General Shopping's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move General Shopping's price. Additionally, you may evaluate how the addition of General Shopping to your portfolios can decrease your overall portfolio volatility.
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