Spandana Sphoorty (India) Market Value
| SPANDANA | 450.85 25.50 5.35% |
| Symbol | Spandana |
Spandana Sphoorty '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 Spandana Sphoorty'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 Spandana Sphoorty.
| 04/15/2024 |
| 01/10/2025 |
If you would invest 0.00 in Spandana Sphoorty on April 15, 2024 and sell it all today you would earn a total of 0.00 from holding Spandana Sphoorty Financial or generate 0.0% return on investment in Spandana Sphoorty over 270 days. Spandana Sphoorty is related to or competes with Aster DM, Akums Drugs, Max Healthcare, Associated Alcohols, and Som Distilleries. Spandana Sphoorty is entity of India. It is traded as Stock on NSE exchange. More
Spandana Sphoorty 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 Spandana Sphoorty'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 Spandana Sphoorty Financial upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 18.78 | |||
| Value At Risk | (3.73) | |||
| Potential Upside | 5.77 |
Spandana Sphoorty Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spandana Sphoorty's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spandana Sphoorty's standard deviation. In reality, there are many statistical measures that can use Spandana Sphoorty historical prices to predict the future Spandana Sphoorty's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | 0.5108 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Spandana Sphoorty's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Spandana Sphoorty Backtested Returns
Spandana Sphoorty owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0292, which indicates the firm had a -0.0292% return per unit of risk over the last 3 months. Spandana Sphoorty Financial exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Spandana Sphoorty's Risk Adjusted Performance of (0.02), variance of 21.87, and Coefficient Of Variation of (2,788) to confirm the risk estimate we provide. The entity has a beta of -0.35, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Spandana Sphoorty are expected to decrease at a much lower rate. During the bear market, Spandana Sphoorty is likely to outperform the market. At this point, Spandana Sphoorty has a negative expected return of -0.14%. Please make sure to validate Spandana Sphoorty's skewness, day typical price, and the relationship between the maximum drawdown and daily balance of power , to decide if Spandana Sphoorty performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.85 |
Very good predictability
Spandana Sphoorty Financial has very good predictability. Overlapping area represents the amount of predictability between Spandana Sphoorty time series from 15th of April 2024 to 28th of August 2024 and 28th of August 2024 to 10th of January 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 Spandana Sphoorty price movement. The serial correlation of 0.85 indicates that around 85.0% of current Spandana Sphoorty price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.85 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 11 K |
Spandana Sphoorty lagged returns against current returns
Autocorrelation, which is Spandana Sphoorty 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 Spandana Sphoorty's stock expected returns. We can calculate the autocorrelation of Spandana Sphoorty returns to help us make a trade decision. For example, suppose you find that Spandana Sphoorty 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 |
Spandana Sphoorty 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 Spandana Sphoorty stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Spandana Sphoorty stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Spandana Sphoorty stock over time.
Current vs Lagged Prices |
| Timeline |
Spandana Sphoorty Lagged Returns
When evaluating Spandana Sphoorty's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Spandana Sphoorty stock have on its future price. Spandana Sphoorty 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, Spandana Sphoorty autocorrelation shows the relationship between Spandana Sphoorty stock current value and its past values and can show if there is a momentum factor associated with investing in Spandana Sphoorty Financial.
Regressed Prices |
| Timeline |
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| BNB | Binance Coin |
Other Information on Investing in Spandana Stock
Spandana Sphoorty financial ratios help investors to determine whether Spandana 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 Spandana with respect to the benefits of owning Spandana Sphoorty security.