Infosys (Germany) Market Value
| IOY Stock | EUR 17.90 0.30 1.65% |
| Symbol | Infosys |
Infosys '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 Infosys' 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 Infosys.
| 02/09/2025 |
| 03/11/2025 |
If you would invest 0.00 in Infosys on February 9, 2025 and sell it all today you would earn a total of 0.00 from holding Infosys Limited or generate 0.0% return on investment in Infosys over 30 days. Infosys is related to or competes with Monster Beverage, Comba Telecom, Chunghwa Telecom, United Breweries, Singapore Telecommunicatio, TELECOM ITALIA, and SBA Communications. Infosys Limited, together with its subsidiaries, provides consulting, technology, and outsourcing services in North Amer... More
Infosys 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 Infosys' 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 Infosys Limited upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 14.29 | |||
| Value At Risk | (5.51) | |||
| Potential Upside | 5.77 |
Infosys Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Infosys' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Infosys' standard deviation. In reality, there are many statistical measures that can use Infosys historical prices to predict the future Infosys' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | 0.0499 | |||
| Treynor Ratio | (2.88) |
Infosys Limited Backtested Returns
Infosys Limited holds Efficiency (Sharpe) Ratio of -0.1, which attests that the entity had a -0.1 % return per unit of risk over the last 3 months. Infosys Limited exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Infosys' Standard Deviation of 2.87, risk adjusted performance of (0.08), and Market Risk Adjusted Performance of (2.87) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.11, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Infosys' returns are expected to increase less than the market. However, during the bear market, the loss of holding Infosys is expected to be smaller as well. At this point, Infosys Limited has a negative expected return of -0.3%. Please make sure to check out Infosys' standard deviation, maximum drawdown, kurtosis, as well as the relationship between the total risk alpha and potential upside , to decide if Infosys Limited performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.24 |
Weak predictability
Infosys Limited has weak predictability. Overlapping area represents the amount of predictability between Infosys time series from 9th of February 2025 to 24th of February 2025 and 24th of February 2025 to 11th 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 Infosys Limited price movement. The serial correlation of 0.24 indicates that over 24.0% of current Infosys price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.48 |
Infosys Limited lagged returns against current returns
Autocorrelation, which is Infosys 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 Infosys' stock expected returns. We can calculate the autocorrelation of Infosys returns to help us make a trade decision. For example, suppose you find that Infosys 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 |
Infosys 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 Infosys stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Infosys stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Infosys stock over time.
Current vs Lagged Prices |
| Timeline |
Infosys Lagged Returns
When evaluating Infosys' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Infosys stock have on its future price. Infosys 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, Infosys autocorrelation shows the relationship between Infosys stock current value and its past values and can show if there is a momentum factor associated with investing in Infosys Limited.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Infosys Stock
Infosys financial ratios help investors to determine whether Infosys 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 Infosys with respect to the benefits of owning Infosys security.