Gevelot (France) Market Value

ALGEV Stock  EUR 188.00  1.00  0.53%   
Gevelot's market value is the price at which a share of Gevelot trades on a public exchange. It measures the collective expectations of Gevelot investors about its performance. Gevelot is selling at 188.00 as of the 23rd of November 2024; that is 0.53 percent down since the beginning of the trading day. The stock's last reported lowest price was 188.0.
With this module, you can estimate the performance of a buy and hold strategy of Gevelot and determine expected loss or profit from investing in Gevelot over a given investment horizon. Check out Gevelot Correlation, Gevelot Volatility and Gevelot Alpha and Beta module to complement your research on Gevelot.
Symbol

Please note, there is a significant difference between Gevelot's value and its price as these two are different measures arrived at by different means. Investors typically determine if Gevelot is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gevelot'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.

Gevelot '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 Gevelot'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 Gevelot.
0.00
11/29/2023
No Change 0.00  0.0 
In 11 months and 27 days
11/23/2024
0.00
If you would invest  0.00  in Gevelot on November 29, 2023 and sell it all today you would earn a total of 0.00 from holding Gevelot or generate 0.0% return on investment in Gevelot over 360 days. Gevelot is related to or competes with Prodways Group, Claranova, DBV Technologies, Manitou BF, Ossiam Minimum, Ekinops SA, and Orapi SA. Gvelot SA offers pumpsfluid technology products in France and internationally More

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

Gevelot Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Gevelot's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gevelot's standard deviation. In reality, there are many statistical measures that can use Gevelot historical prices to predict the future Gevelot's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gevelot'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.
Hype
Prediction
LowEstimatedHigh
186.62188.00189.38
Details
Intrinsic
Valuation
LowRealHigh
147.14148.52206.80
Details
Naive
Forecast
LowNextHigh
182.54183.92185.30
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
188.00188.00188.00
Details

Gevelot Backtested Returns

Gevelot holds Efficiency (Sharpe) Ratio of -0.0621, which attests that the entity had a -0.0621% return per unit of risk over the last 3 months. Gevelot exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gevelot's Market Risk Adjusted Performance of (0.37), risk adjusted performance of (0.03), and Standard Deviation of 1.38 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.19, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Gevelot's returns are expected to increase less than the market. However, during the bear market, the loss of holding Gevelot is expected to be smaller as well. At this point, Gevelot has a negative expected return of -0.0858%. Please make sure to check out Gevelot's total risk alpha, kurtosis, as well as the relationship between the Kurtosis and price action indicator , to decide if Gevelot performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.87  

Excellent reverse predictability

Gevelot has excellent reverse predictability. Overlapping area represents the amount of predictability between Gevelot time series from 29th of November 2023 to 27th of May 2024 and 27th of May 2024 to 23rd 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 Gevelot price movement. The serial correlation of -0.87 indicates that approximately 87.0% of current Gevelot price fluctuation can be explain by its past prices.
Correlation Coefficient-0.87
Spearman Rank Test-0.8
Residual Average0.0
Price Variance290.88

Gevelot lagged returns against current returns

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

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

Gevelot Lagged Returns

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

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Additional Tools for Gevelot Stock Analysis

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