Neurones (France) Market Value
| NRO Stock | EUR 49.15 1.10 2.29% |
| Symbol | Neurones |
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.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Neurones on December 15, 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.
| Downside Deviation | 2.05 | |||
| Information Ratio | 0.191 | |||
| Maximum Drawdown | 9.53 | |||
| Value At Risk | (2.34) | |||
| Potential Upside | 2.04 |
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.| Risk Adjusted Performance | 0.1162 | |||
| Jensen Alpha | 0.1977 | |||
| Total Risk Alpha | 0.3909 | |||
| Sortino Ratio | 0.1475 | |||
| Treynor Ratio | 4.38 |
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, downside deviation of 2.05, and Risk Adjusted Performance of 0.1162 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 | -0.35 |
Poor reverse predictability
Neurones has poor reverse predictability. Overlapping area represents the amount of predictability between Neurones time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th 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 -0.35 indicates that nearly 35.0% of current Neurones price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 2.4 |
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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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.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.