R S (India) Market Value
| RSSOFTWARE | 220.76 0.68 0.31% |
| Symbol | RSSOFTWARE |
R S '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 R S'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 R S.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in R S on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding R S Software or generate 0.0% return on investment in R S over 30 days. R S is related to or competes with Divis Laboratories, Indo Borax, Kingfa Science, Alkali Metals, Gravita India, KNR Constructions, and Rico Auto. R S is entity of India. It is traded as Stock on NSE exchange. More
R S 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 R S'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 R S Software upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 10.0 | |||
| Value At Risk | (4.46) | |||
| Potential Upside | 5.0 |
R S Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for R S's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as R S's standard deviation. In reality, there are many statistical measures that can use R S historical prices to predict the future R S's volatility.| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (0.72) | |||
| Total Risk Alpha | (1.07) | |||
| Treynor Ratio | (1.15) |
R S Software Backtested Returns
R S Software maintains Sharpe Ratio (i.e., Efficiency) of -0.17, which implies the company had a -0.17% return per unit of standard deviation over the last 3 months. R S Software exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check R S's Market Risk Adjusted Performance of (1.14), mean deviation of 2.6, and Variance of 9.58 to confirm the risk estimate we provide. The firm holds a Beta of 0.57, which implies possible diversification benefits within a given portfolio. As returns on the market increase, R S's returns are expected to increase less than the market. However, during the bear market, the loss of holding R S is expected to be smaller as well. At this point, R S Software has a negative expected return of -0.51%. Please make sure to check R S's maximum drawdown, accumulation distribution, as well as the relationship between the Accumulation Distribution and market facilitation index , to decide if R S Software performance from the past will be repeated at some future date.
Auto-correlation | 0.37 |
Below average predictability
R S Software has below average predictability. Overlapping area represents the amount of predictability between R S time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 R S Software price movement. The serial correlation of 0.37 indicates that just about 37.0% of current R S price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.37 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 67.6 |
R S Software lagged returns against current returns
Autocorrelation, which is R S 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 R S's stock expected returns. We can calculate the autocorrelation of R S returns to help us make a trade decision. For example, suppose you find that R S 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 |
R S 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 R S stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if R S stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in R S stock over time.
Current vs Lagged Prices |
| Timeline |
R S Lagged Returns
When evaluating R S's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of R S stock have on its future price. R S 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, R S autocorrelation shows the relationship between R S stock current value and its past values and can show if there is a momentum factor associated with investing in R S Software.
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 RSSOFTWARE Stock Analysis
When running R S's price analysis, check to measure R S'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 R S is operating at the current time. Most of R S's value examination focuses on studying past and present price action to predict the probability of R S's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move R S's price. Additionally, you may evaluate how the addition of R S to your portfolios can decrease your overall portfolio volatility.