Neurones (France) Market Value

NRO Stock  EUR 49.15  1.10  2.29%   
Neurones' market value is the price at which a share of Neurones trades on a public exchange. It measures the collective expectations of Neurones investors about its performance. Neurones is trading at 49.15 as of the 16th of March 2025, a 2.29 percent up since the beginning of the trading day. The stock's open price was 48.05.
With this module, you can estimate the performance of a buy and hold strategy of Neurones and determine expected loss or profit from investing in Neurones over a given investment horizon. Check out Neurones Correlation, Neurones Volatility and Neurones Alpha and Beta module to complement your research on Neurones.
Symbol

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

Neurones '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 Neurones' 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 Neurones.
0.00
12/16/2024
No Change 0.00  0.0 
In 2 months and 31 days
03/16/2025
0.00
If you would invest  0.00  in Neurones on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Neurones or generate 0.0% return on investment in Neurones over 90 days. Neurones is related to or competes with Aubay Socit, Infotel SA, and IT Link. Neurones S.A., an information technology services company, provides infrastructure, application, and consulting services... More

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

Neurones Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Neurones' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Neurones' standard deviation. In reality, there are many statistical measures that can use Neurones historical prices to predict the future Neurones' volatility.
Hype
Prediction
LowEstimatedHigh
47.5449.1550.76
Details
Intrinsic
Valuation
LowRealHigh
44.2454.9256.53
Details

Neurones Backtested Returns

At this point, Neurones is very steady. Neurones has Sharpe Ratio of 0.11, which conveys that the firm had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Neurones, which you can use to evaluate the volatility of the firm. Please verify Neurones' Mean Deviation of 1.08, risk adjusted performance of 0.1162, and Downside Deviation of 2.05 to check out if the risk estimate we provide is consistent with the expected return of 0.17%. Neurones has a performance score of 8 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.044, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Neurones' returns are expected to increase less than the market. However, during the bear market, the loss of holding Neurones is expected to be smaller as well. Neurones right now secures a risk of 1.59%. Please verify Neurones value at risk, kurtosis, market facilitation index, as well as the relationship between the semi variance and rate of daily change , to decide if Neurones will be following its current price movements.

Auto-correlation

    
  -0.31  

Poor reverse predictability

Neurones has poor reverse predictability. Overlapping area represents the amount of predictability between Neurones time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Neurones price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Neurones price fluctuation can be explain by its past prices.
Correlation Coefficient-0.31
Spearman Rank Test-0.27
Residual Average0.0
Price Variance1.98

Neurones lagged returns against current returns

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

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

Neurones Lagged Returns

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

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Other Information on Investing in Neurones Stock

Neurones financial ratios help investors to determine whether Neurones Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Neurones with respect to the benefits of owning Neurones security.