Infosys (India) Market Value
| INFY Stock | 1,858 2.45 0.13% |
| 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.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Infosys on December 13, 2022 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 720 days. Infosys is related to or competes with Jindal Steel, Embassy Office, Archean Chemical, Mahamaya Steel, Neogen Chemicals, NMDC Steel, and Reliance Home. Infosys is entity of India. It is traded as Stock on NSE exchange. 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 | (0.1) | |||
| Maximum Drawdown | 7.42 | |||
| Value At Risk | (2.65) | |||
| Potential Upside | 2.11 |
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 | 0.0014 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.26) | |||
| Treynor Ratio | (0.08) |
Infosys Limited Backtested Returns
Infosys Limited holds Efficiency (Sharpe) Ratio of -0.0285, which attests that the entity had a -0.0285% 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' Market Risk Adjusted Performance of (0.07), standard deviation of 1.46, and Risk Adjusted Performance of 0.0014 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.2, 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 -0.0419%. Please make sure to check out Infosys' jensen alpha, treynor ratio, and the relationship between the standard deviation and total risk alpha , to decide if Infosys Limited performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.45 |
Average predictability
Infosys Limited has average predictability. Overlapping area represents the amount of predictability between Infosys time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd of December 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 Infosys Limited price movement. The serial correlation of 0.45 indicates that just about 45.0% of current Infosys price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 34.5 K |
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 |
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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.Additional Tools for Infosys Stock Analysis
When running Infosys' price analysis, check to measure Infosys' 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 Infosys is operating at the current time. Most of Infosys' value examination focuses on studying past and present price action to predict the probability of Infosys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Infosys' price. Additionally, you may evaluate how the addition of Infosys to your portfolios can decrease your overall portfolio volatility.