SBI Cards (India) Market Value
| SBICARD Stock | 679.20 16.70 2.40% |
| Symbol | SBI |
SBI Cards '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 SBI Cards' 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 SBI Cards.
| 11/27/2024 |
| 12/27/2024 |
If you would invest 0.00 in SBI Cards on November 27, 2024 and sell it all today you would earn a total of 0.00 from holding SBI Cards and or generate 0.0% return on investment in SBI Cards over 30 days. SBI Cards is related to or competes with Kingfa Science, Rico Auto, GACM Technologies, COSMO FIRST, Delta Manufacturing, Tribhovandas Bhimji, and Parag Milk. SBI Cards is entity of India. It is traded as Stock on NSE exchange. More
SBI Cards 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 SBI Cards' 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 SBI Cards and upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 4.98 | |||
| Value At Risk | (2.66) | |||
| Potential Upside | 1.37 |
SBI Cards Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SBI Cards' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SBI Cards' standard deviation. In reality, there are many statistical measures that can use SBI Cards historical prices to predict the future SBI Cards' volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (4.38) |
SBI Cards Backtested Returns
SBI Cards owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.16, which indicates the company had a -0.16% return per unit of volatility over the last 3 months. SBI Cards and exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SBI Cards' Standard Deviation of 1.27, risk adjusted performance of (0.14), and Market Risk Adjusted Performance of (4.37) to confirm the risk estimate we provide. The firm has a beta of 0.0549, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SBI Cards' returns are expected to increase less than the market. However, during the bear market, the loss of holding SBI Cards is expected to be smaller as well. At this point, SBI Cards has a negative expected return of -0.21%. Please make sure to validate SBI Cards' total risk alpha, skewness, rate of daily change, as well as the relationship between the maximum drawdown and accumulation distribution , to decide if SBI Cards performance from the past will be repeated in the future.
Auto-correlation | -0.86 |
Excellent reverse predictability
SBI Cards and has excellent reverse predictability. Overlapping area represents the amount of predictability between SBI Cards time series from 27th of November 2024 to 12th of December 2024 and 12th of December 2024 to 27th 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 SBI Cards price movement. The serial correlation of -0.86 indicates that approximately 86.0% of current SBI Cards price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.86 | |
| Spearman Rank Test | -0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 265.5 |
SBI Cards lagged returns against current returns
Autocorrelation, which is SBI Cards 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 SBI Cards' stock expected returns. We can calculate the autocorrelation of SBI Cards returns to help us make a trade decision. For example, suppose you find that SBI Cards 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 |
SBI Cards 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 SBI Cards stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SBI Cards stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SBI Cards stock over time.
Current vs Lagged Prices |
| Timeline |
SBI Cards Lagged Returns
When evaluating SBI Cards' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SBI Cards stock have on its future price. SBI Cards 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, SBI Cards autocorrelation shows the relationship between SBI Cards stock current value and its past values and can show if there is a momentum factor associated with investing in SBI Cards and.
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.Other Information on Investing in SBI Stock
SBI Cards financial ratios help investors to determine whether SBI 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 SBI with respect to the benefits of owning SBI Cards security.