Teleperformance (France) Market Value
| TEP Stock | EUR 104.40 1.60 1.56% |
| Symbol | Teleperformance |
Teleperformance '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 Teleperformance'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 Teleperformance.
| 05/01/2024 |
| 05/31/2024 |
If you would invest 0.00 in Teleperformance on May 1, 2024 and sell it all today you would earn a total of 0.00 from holding Teleperformance SE or generate 0.0% return on investment in Teleperformance over 30 days. Teleperformance is related to or competes with Worldline, Eurofins Scientific, Sartorius Stedim, Dassault Systemes, and Capgemini. Teleperformance SE provides outsourced omnichannel customer experience management services worldwide More
Teleperformance 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 Teleperformance'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 Teleperformance SE upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 25.0 | |||
| Value At Risk | (3.30) | |||
| Potential Upside | 3.81 |
Teleperformance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Teleperformance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Teleperformance's standard deviation. In reality, there are many statistical measures that can use Teleperformance historical prices to predict the future Teleperformance's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.33) | |||
| Treynor Ratio | 0.436 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Teleperformance'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.
Teleperformance SE Backtested Returns
We consider Teleperformance very steady. Teleperformance SE owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0098, which indicates the firm had a 0.0098% return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Teleperformance SE, which you can use to evaluate the volatility of the company. Please validate Teleperformance's Coefficient Of Variation of (1,930), variance of 18.1, and Risk Adjusted Performance of (0.02) to confirm if the risk estimate we provide is consistent with the expected return of 0.0393%. The entity has a beta of -0.53, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Teleperformance are expected to decrease at a much lower rate. During the bear market, Teleperformance is likely to outperform the market. Teleperformance SE right now has a risk of 3.99%. Please validate Teleperformance kurtosis, and the relationship between the maximum drawdown and rate of daily change , to decide if Teleperformance will be following its existing price patterns.
Auto-correlation | -0.13 |
Insignificant reverse predictability
Teleperformance SE has insignificant reverse predictability. Overlapping area represents the amount of predictability between Teleperformance time series from 1st of May 2024 to 16th of May 2024 and 16th of May 2024 to 31st of May 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 Teleperformance SE price movement. The serial correlation of -0.13 indicates that less than 13.0% of current Teleperformance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 2.46 |
Teleperformance SE lagged returns against current returns
Autocorrelation, which is Teleperformance 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 Teleperformance's stock expected returns. We can calculate the autocorrelation of Teleperformance returns to help us make a trade decision. For example, suppose you find that Teleperformance 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 |
Teleperformance 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 Teleperformance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Teleperformance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Teleperformance stock over time.
Current vs Lagged Prices |
| Timeline |
Teleperformance Lagged Returns
When evaluating Teleperformance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Teleperformance stock have on its future price. Teleperformance 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, Teleperformance autocorrelation shows the relationship between Teleperformance stock current value and its past values and can show if there is a momentum factor associated with investing in Teleperformance SE.
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.Check out Teleperformance Correlation, Teleperformance Volatility and Teleperformance Alpha and Beta module to complement your research on Teleperformance. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Complementary Tools for Teleperformance Stock analysis
When running Teleperformance's price analysis, check to measure Teleperformance'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 Teleperformance is operating at the current time. Most of Teleperformance's value examination focuses on studying past and present price action to predict the probability of Teleperformance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Teleperformance's price. Additionally, you may evaluate how the addition of Teleperformance to your portfolios can decrease your overall portfolio volatility.
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Teleperformance technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.