SPIE SA (France) Market Value
| SPIE Stock | EUR 30.10 0.10 0.33% |
| Symbol | SPIE |
SPIE 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 SPIE 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 SPIE SA.
| 08/31/2024 |
| 11/29/2024 |
If you would invest 0.00 in SPIE SA on August 31, 2024 and sell it all today you would earn a total of 0.00 from holding SPIE SA or generate 0.0% return on investment in SPIE SA over 90 days. SPIE SA is related to or competes with Elis SA, Eiffage SA, Rexel SA, Edenred SA, and Gaztransport Technigaz. SPIE SA provides multi-technical services in the areas of energy and communications More
SPIE 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 SPIE 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 SPIE SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 7.18 | |||
| Value At Risk | (3.49) | |||
| Potential Upside | 2.11 |
SPIE SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPIE SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPIE SA's standard deviation. In reality, there are many statistical measures that can use SPIE SA historical prices to predict the future SPIE SA's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.52) | |||
| Treynor Ratio | 3.79 |
SPIE SA Backtested Returns
SPIE SA owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.17, which indicates the firm had a -0.17% return per unit of volatility over the last 3 months. SPIE SA exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPIE SA's variance of 2.5, and Risk Adjusted Performance of (0.13) to confirm the risk estimate we provide. The entity has a beta of -0.0748, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SPIE SA are expected to decrease at a much lower rate. During the bear market, SPIE SA is likely to outperform the market. At this point, SPIE SA has a negative expected return of -0.27%. Please make sure to validate SPIE SA's total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if SPIE SA performance from the past will be repeated at future time.
Auto-correlation | 0.66 |
Good predictability
SPIE SA has good predictability. Overlapping area represents the amount of predictability between SPIE SA time series from 31st of August 2024 to 15th of October 2024 and 15th of October 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 SPIE SA price movement. The serial correlation of 0.66 indicates that around 66.0% of current SPIE SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 3.57 |
SPIE SA lagged returns against current returns
Autocorrelation, which is SPIE 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 SPIE SA's stock expected returns. We can calculate the autocorrelation of SPIE SA returns to help us make a trade decision. For example, suppose you find that SPIE 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 |
SPIE 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 SPIE SA stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPIE SA stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPIE SA stock over time.
Current vs Lagged Prices |
| Timeline |
SPIE SA Lagged Returns
When evaluating SPIE SA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPIE SA stock have on its future price. SPIE 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, SPIE SA autocorrelation shows the relationship between SPIE SA stock current value and its past values and can show if there is a momentum factor associated with investing in SPIE SA.
Regressed Prices |
| Timeline |
Also Currently Popular
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 SPIE Stock
SPIE SA financial ratios help investors to determine whether SPIE 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 SPIE with respect to the benefits of owning SPIE SA security.