Sprinklr Stock Market Value
CXM Stock | USD 8.24 0.03 0.37% |
Symbol | Sprinklr |
Sprinklr Price To Book Ratio
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Sprinklr. If investors know Sprinklr will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Sprinklr listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.82) | Earnings Share 0.17 | Revenue Per Share 2.872 | Quarterly Revenue Growth 0.105 | Return On Assets 0.0227 |
The market value of Sprinklr is measured differently than its book value, which is the value of Sprinklr that is recorded on the company's balance sheet. Investors also form their own opinion of Sprinklr's value that differs from its market value or its book value, called intrinsic value, which is Sprinklr's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Sprinklr's market value can be influenced by many factors that don't directly affect Sprinklr's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Sprinklr's value and its price as these two are different measures arrived at by different means. Investors typically determine if Sprinklr is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sprinklr's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Sprinklr '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 Sprinklr'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 Sprinklr.
12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Sprinklr on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Sprinklr or generate 0.0% return on investment in Sprinklr over 720 days. Sprinklr is related to or competes with Expensify, Clearwater Analytics, Alkami Technology, Vertex, Paycor HCM, Enfusion, and E2open Parent. Sprinklr, Inc. provides enterprise cloud software products worldwide More
Sprinklr 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 Sprinklr'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 Sprinklr upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.08) | |||
Maximum Drawdown | 13.75 | |||
Value At Risk | (4.92) | |||
Potential Upside | 3.52 |
Sprinklr Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sprinklr's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sprinklr's standard deviation. In reality, there are many statistical measures that can use Sprinklr historical prices to predict the future Sprinklr's volatility.Risk Adjusted Performance | (0.01) | |||
Jensen Alpha | (0.28) | |||
Total Risk Alpha | (0.54) | |||
Treynor Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sprinklr'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.
Sprinklr Backtested Returns
Sprinklr owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0114, which indicates the firm had a -0.0114% return per unit of risk over the last 3 months. Sprinklr exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sprinklr's Coefficient Of Variation of (3,808), risk adjusted performance of (0.01), and Variance of 7.59 to confirm the risk estimate we provide. The entity has a beta of 1.58, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Sprinklr will likely underperform. At this point, Sprinklr has a negative expected return of -0.0312%. Please make sure to validate Sprinklr's skewness, as well as the relationship between the day median price and relative strength index , to decide if Sprinklr performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.74 |
Almost perfect reverse predictability
Sprinklr has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Sprinklr time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd 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 Sprinklr price movement. The serial correlation of -0.74 indicates that around 74.0% of current Sprinklr price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.74 | |
Spearman Rank Test | -0.79 | |
Residual Average | 0.0 | |
Price Variance | 4.41 |
Sprinklr lagged returns against current returns
Autocorrelation, which is Sprinklr 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 Sprinklr's stock expected returns. We can calculate the autocorrelation of Sprinklr returns to help us make a trade decision. For example, suppose you find that Sprinklr 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 |
Sprinklr 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 Sprinklr stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sprinklr stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sprinklr stock over time.
Current vs Lagged Prices |
Timeline |
Sprinklr Lagged Returns
When evaluating Sprinklr's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sprinklr stock have on its future price. Sprinklr 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, Sprinklr autocorrelation shows the relationship between Sprinklr stock current value and its past values and can show if there is a momentum factor associated with investing in Sprinklr.
Regressed Prices |
Timeline |
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Sprinklr technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.