Computer Age (India) Market Value
| CAMS Stock | 3,410 86.30 2.60% |
| Symbol | Computer |
Computer Age '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 Computer Age'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 Computer Age.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Computer Age on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Computer Age Management or generate 0.0% return on investment in Computer Age over 90 days. Computer Age is related to or competes with Kohinoor Foods, Mangalam Organics, GM Breweries, Praxis Home, Sindhu Trade, and Hexa Tradex. Computer Age is entity of India. It is traded as Stock on NSE exchange. More
Computer Age 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 Computer Age'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 Computer Age Management upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 13.83 | |||
| Value At Risk | (5.33) | |||
| Potential Upside | 3.41 |
Computer Age Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Computer Age's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Computer Age's standard deviation. In reality, there are many statistical measures that can use Computer Age historical prices to predict the future Computer Age's volatility.| Risk Adjusted Performance | (0.18) | |||
| Jensen Alpha | (0.61) | |||
| Total Risk Alpha | (0.26) | |||
| Treynor Ratio | (6.25) |
Computer Age Management Backtested Returns
Computer Age Management secures Sharpe Ratio (or Efficiency) of -0.22, which signifies that the company had a -0.22 % return per unit of risk over the last 3 months. Computer Age Management exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Computer Age's Mean Deviation of 2.18, standard deviation of 2.84, and Risk Adjusted Performance of (0.18) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0992, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Computer Age's returns are expected to increase less than the market. However, during the bear market, the loss of holding Computer Age is expected to be smaller as well. At this point, Computer Age Management has a negative expected return of -0.63%. Please make sure to confirm Computer Age's jensen alpha, treynor ratio, value at risk, as well as the relationship between the total risk alpha and maximum drawdown , to decide if Computer Age Management performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.49 |
Average predictability
Computer Age Management has average predictability. Overlapping area represents the amount of predictability between Computer Age time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 Computer Age Management price movement. The serial correlation of 0.49 indicates that about 49.0% of current Computer Age price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 21.8 K |
Computer Age Management lagged returns against current returns
Autocorrelation, which is Computer Age 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 Computer Age's stock expected returns. We can calculate the autocorrelation of Computer Age returns to help us make a trade decision. For example, suppose you find that Computer Age 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 |
Computer Age 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 Computer Age stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Computer Age stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Computer Age stock over time.
Current vs Lagged Prices |
| Timeline |
Computer Age Lagged Returns
When evaluating Computer Age's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Computer Age stock have on its future price. Computer Age 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, Computer Age autocorrelation shows the relationship between Computer Age stock current value and its past values and can show if there is a momentum factor associated with investing in Computer Age Management.
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.Additional Tools for Computer Stock Analysis
When running Computer Age's price analysis, check to measure Computer Age'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 Computer Age is operating at the current time. Most of Computer Age's value examination focuses on studying past and present price action to predict the probability of Computer Age's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Computer Age's price. Additionally, you may evaluate how the addition of Computer Age to your portfolios can decrease your overall portfolio volatility.