Sasken Technologies (India) Market Value
| SASKEN Stock | 2,118 18.25 0.87% |
| Symbol | Sasken |
Sasken Technologies '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 Sasken Technologies' 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 Sasken Technologies.
| 10/29/2023 |
| 11/22/2024 |
If you would invest 0.00 in Sasken Technologies on October 29, 2023 and sell it all today you would earn a total of 0.00 from holding Sasken Technologies Limited or generate 0.0% return on investment in Sasken Technologies over 390 days. Sasken Technologies is related to or competes with Divis Laboratories, Indo Borax, Kingfa Science, Alkali Metals, Gravita India, KNR Constructions, and Rico Auto. Sasken Technologies is entity of India. It is traded as Stock on NSE exchange. More
Sasken Technologies 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 Sasken Technologies' 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 Sasken Technologies Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.84 | |||
| Information Ratio | 0.1078 | |||
| Maximum Drawdown | 18.65 | |||
| Value At Risk | (2.61) | |||
| Potential Upside | 6.34 |
Sasken Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sasken Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sasken Technologies' standard deviation. In reality, there are many statistical measures that can use Sasken Technologies historical prices to predict the future Sasken Technologies' volatility.| Risk Adjusted Performance | 0.1178 | |||
| Jensen Alpha | 0.4144 | |||
| Total Risk Alpha | 0.0324 | |||
| Sortino Ratio | 0.1732 | |||
| Treynor Ratio | 10.43 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sasken Technologies' 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.
Sasken Technologies Backtested Returns
Sasken Technologies appears to be very steady, given 3 months investment horizon. Sasken Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.16, which indicates the firm had a 0.16% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Sasken Technologies Limited, which you can use to evaluate the volatility of the company. Please review Sasken Technologies' Semi Deviation of 1.51, coefficient of variation of 690.83, and Risk Adjusted Performance of 0.1178 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sasken Technologies holds a performance score of 12. The entity has a beta of 0.0401, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Sasken Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Sasken Technologies is expected to be smaller as well. Please check Sasken Technologies' skewness, and the relationship between the potential upside and rate of daily change , to make a quick decision on whether Sasken Technologies' existing price patterns will revert.
Auto-correlation | 0.20 |
Weak predictability
Sasken Technologies Limited has weak predictability. Overlapping area represents the amount of predictability between Sasken Technologies time series from 29th of October 2023 to 11th of May 2024 and 11th of May 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 Sasken Technologies price movement. The serial correlation of 0.2 indicates that over 20.0% of current Sasken Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 14.6 K |
Sasken Technologies lagged returns against current returns
Autocorrelation, which is Sasken Technologies 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 Sasken Technologies' stock expected returns. We can calculate the autocorrelation of Sasken Technologies returns to help us make a trade decision. For example, suppose you find that Sasken Technologies 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 |
Sasken Technologies 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 Sasken Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sasken Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sasken Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Sasken Technologies Lagged Returns
When evaluating Sasken Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sasken Technologies stock have on its future price. Sasken Technologies 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, Sasken Technologies autocorrelation shows the relationship between Sasken Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Sasken Technologies Limited.
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 Sasken Stock
Sasken Technologies financial ratios help investors to determine whether Sasken 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 Sasken with respect to the benefits of owning Sasken Technologies security.