Gafisa SA (Brazil) Market Value

GFSA3 Stock  BRL 1.48  0.10  7.25%   
Gafisa SA's market value is the price at which a share of Gafisa SA trades on a public exchange. It measures the collective expectations of Gafisa SA investors about its performance. Gafisa SA is selling for under 1.48 as of the 29th of November 2024; that is 7.25% up since the beginning of the trading day. The stock's lowest day price was 1.33.
With this module, you can estimate the performance of a buy and hold strategy of Gafisa SA and determine expected loss or profit from investing in Gafisa SA over a given investment horizon. Check out Gafisa SA Correlation, Gafisa SA Volatility and Gafisa SA Alpha and Beta module to complement your research on Gafisa SA.
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Please note, there is a significant difference between Gafisa SA's value and its price as these two are different measures arrived at by different means. Investors typically determine if Gafisa SA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gafisa SA's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Gafisa SA '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 Gafisa SA'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 Gafisa SA.
0.00
06/08/2023
No Change 0.00  0.0 
In 1 year 5 months and 25 days
11/29/2024
0.00
If you would invest  0.00  in Gafisa SA on June 8, 2023 and sell it all today you would earn a total of 0.00 from holding Gafisa SA or generate 0.0% return on investment in Gafisa SA over 540 days. Gafisa SA is related to or competes with Engie Brasil, Fras Le, Energisa, BTG Pactual, Procter Gamble, Companhia Paranaense, and Randon SA. Gafisa S.A. operates as a homebuilder under the Gafisa brand name in Brazil More

Gafisa SA 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 Gafisa SA'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 Gafisa SA upside and downside potential and time the market with a certain degree of confidence.

Gafisa SA Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Gafisa SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gafisa SA's standard deviation. In reality, there are many statistical measures that can use Gafisa SA historical prices to predict the future Gafisa SA's volatility.
Hype
Prediction
LowEstimatedHigh
0.071.385.30
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Intrinsic
Valuation
LowRealHigh
0.071.325.24
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Gafisa SA. Your research has to be compared to or analyzed against Gafisa SA's peers to derive any actionable benefits. When done correctly, Gafisa SA's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Gafisa SA.

Gafisa SA Backtested Returns

Gafisa SA 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. Gafisa SA exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gafisa SA's Standard Deviation of 3.84, market risk adjusted performance of (14.01), and Risk Adjusted Performance of (0.20) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.0761, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Gafisa SA's returns are expected to increase less than the market. However, during the bear market, the loss of holding Gafisa SA is expected to be smaller as well. At this point, Gafisa SA has a negative expected return of -0.94%. Please make sure to check out Gafisa SA's jensen alpha, treynor ratio, and the relationship between the standard deviation and total risk alpha , to decide if Gafisa SA performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.26  

Weak reverse predictability

Gafisa SA has weak reverse predictability. Overlapping area represents the amount of predictability between Gafisa SA time series from 8th of June 2023 to 4th of March 2024 and 4th of March 2024 to 29th 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 Gafisa SA price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Gafisa SA price fluctuation can be explain by its past prices.
Correlation Coefficient-0.26
Spearman Rank Test-0.38
Residual Average0.0
Price Variance4.17

Gafisa SA lagged returns against current returns

Autocorrelation, which is Gafisa SA 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 Gafisa SA's stock expected returns. We can calculate the autocorrelation of Gafisa SA returns to help us make a trade decision. For example, suppose you find that Gafisa SA 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  

Gafisa SA 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 Gafisa SA stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gafisa SA stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Gafisa SA stock over time.
   Current vs Lagged Prices   
       Timeline  

Gafisa SA Lagged Returns

When evaluating Gafisa SA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gafisa SA stock have on its future price. Gafisa SA 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, Gafisa SA autocorrelation shows the relationship between Gafisa SA stock current value and its past values and can show if there is a momentum factor associated with investing in Gafisa SA.
   Regressed Prices   
       Timeline  

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Additional Tools for Gafisa Stock Analysis

When running Gafisa SA's price analysis, check to measure Gafisa SA'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 Gafisa SA is operating at the current time. Most of Gafisa SA's value examination focuses on studying past and present price action to predict the probability of Gafisa SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gafisa SA's price. Additionally, you may evaluate how the addition of Gafisa SA to your portfolios can decrease your overall portfolio volatility.