SIS (India) Market Value
| SIS Stock | 335.15 4.35 1.31% |
| Symbol | SIS |
SIS '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 SIS'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 SIS.
| 01/05/2025 |
| 02/04/2025 |
If you would invest 0.00 in SIS on January 5, 2025 and sell it all today you would earn a total of 0.00 from holding SIS LIMITED or generate 0.0% return on investment in SIS over 30 days. SIS is related to or competes with Steelcast, Mahamaya Steel, Tata Communications, Vibhor Steel, Manaksia Steels, Kavveri Telecom, and Prakash Steelage. More
SIS 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 SIS'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 SIS LIMITED upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 9.13 | |||
| Value At Risk | (2.33) | |||
| Potential Upside | 1.95 |
SIS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SIS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SIS's standard deviation. In reality, there are many statistical measures that can use SIS historical prices to predict the future SIS's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.41) | |||
| Treynor Ratio | 8.17 |
SIS LIMITED Backtested Returns
SIS LIMITED owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.14, which indicates the firm had a -0.14 % return per unit of standard deviation over the last 3 months. SIS LIMITED exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SIS's risk adjusted performance of (0.11), and Variance of 3.31 to confirm the risk estimate we provide. The entity has a beta of -0.0321, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SIS are expected to decrease at a much lower rate. During the bear market, SIS is likely to outperform the market. At this point, SIS LIMITED has a negative expected return of -0.26%. Please make sure to validate SIS's kurtosis, as well as the relationship between the rate of daily change and market facilitation index , to decide if SIS LIMITED performance from the past will be repeated at future time.
Auto-correlation | 0.38 |
Below average predictability
SIS LIMITED has below average predictability. Overlapping area represents the amount of predictability between SIS time series from 5th of January 2025 to 20th of January 2025 and 20th of January 2025 to 4th of February 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 SIS LIMITED price movement. The serial correlation of 0.38 indicates that just about 38.0% of current SIS price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 85.61 |
SIS LIMITED lagged returns against current returns
Autocorrelation, which is SIS 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 SIS's stock expected returns. We can calculate the autocorrelation of SIS returns to help us make a trade decision. For example, suppose you find that SIS 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 |
SIS 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 SIS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SIS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SIS stock over time.
Current vs Lagged Prices |
| Timeline |
SIS Lagged Returns
When evaluating SIS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SIS stock have on its future price. SIS 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, SIS autocorrelation shows the relationship between SIS stock current value and its past values and can show if there is a momentum factor associated with investing in SIS 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.Other Information on Investing in SIS Stock
SIS financial ratios help investors to determine whether SIS 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 SIS with respect to the benefits of owning SIS security.