Innodata Stock Odds of Future Stock Price Finishing Under 11.91
| INOD Stock | USD 12.62 0.23 1.79% |
Closest to current price Innodata long CALL Option Payoff at Expiration
Innodata |
Innodata Target Price Odds to finish below 11.91
The tendency of Innodata Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to drop to $ 11.91 or more in 90 days |
| 12.62 | 90 days | 11.91 | under 95 |
Based on a normal probability distribution, the odds of Innodata to drop to $ 11.91 or more in 90 days from now is under 95 (This Innodata probability density function shows the probability of Innodata Stock to fall within a particular range of prices over 90 days) . Probability of Innodata price to stay between $ 11.91 and its current price of $12.62 at the end of the 90-day period is roughly 2.6 .
Given the investment horizon of 90 days the stock has the beta coefficient of 2.02 . This usually indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Innodata will likely underperform. Additionally Innodata has an alpha of 0.9913, implying that it can generate a 0.99 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Innodata Price Density |
| Price |
Predictive Modules for Innodata
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Innodata. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Innodata'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.
Innodata Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Innodata is not an exception. The market had few large corrections towards the Innodata's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Innodata, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Innodata within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.99 | |
β | Beta against NYSE Composite | 2.02 | |
σ | Overall volatility | 2.53 | |
Ir | Information ratio | 0.13 |
Innodata Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Innodata for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Innodata can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Innodata is way too risky over 90 days horizon | |
| Innodata appears to be risky and price may revert if volatility continues | |
| The company reported the previous year's revenue of 86.78 M. Net Loss for the year was (908 K) with profit before overhead, payroll, taxes, and interest of 29.31 M. | |
| Latest headline from finance.yahoo.com: Zacks Investment Ideas feature highlights RUMIC, Innodata, HF Foods, CSP, Frequency Electronics and Gencor Industries |
Innodata Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Innodata Stock often depends not only on the future outlook of the current and potential Innodata's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Innodata's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 28.1 M | |
| Cash And Short Term Investments | 13.8 M |
Innodata Technical Analysis
Innodata's future price can be derived by breaking down and analyzing its technical indicators over time. Innodata Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Innodata. In general, you should focus on analyzing Innodata Stock price patterns and their correlations with different microeconomic environments and drivers.
Innodata Predictive Forecast Models
Innodata's time-series forecasting models is one of many Innodata's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Innodata's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Innodata
Checking the ongoing alerts about Innodata for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Innodata help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Innodata is way too risky over 90 days horizon | |
| Innodata appears to be risky and price may revert if volatility continues | |
| The company reported the previous year's revenue of 86.78 M. Net Loss for the year was (908 K) with profit before overhead, payroll, taxes, and interest of 29.31 M. | |
| Latest headline from finance.yahoo.com: Zacks Investment Ideas feature highlights RUMIC, Innodata, HF Foods, CSP, Frequency Electronics and Gencor Industries |
Check out Innodata Backtesting, Innodata Valuation, Innodata Correlation, Innodata Hype Analysis, Innodata Volatility, Innodata History as well as Innodata Performance. For information on how to trade Innodata Stock refer to our How to Trade Innodata Stock guide.You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for Innodata Stock analysis
When running Innodata's price analysis, check to measure Innodata'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 Innodata is operating at the current time. Most of Innodata's value examination focuses on studying past and present price action to predict the probability of Innodata's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Innodata's price. Additionally, you may evaluate how the addition of Innodata to your portfolios can decrease your overall portfolio volatility.
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Is Innodata's industry 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 Innodata. If investors know Innodata 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 Innodata 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 176.778 | Earnings Share 0.08 | Revenue Per Share 3.319 | Quarterly Revenue Growth 0.407 | Return On Assets 0.045 |
The market value of Innodata is measured differently than its book value, which is the value of Innodata that is recorded on the company's balance sheet. Investors also form their own opinion of Innodata's value that differs from its market value or its book value, called intrinsic value, which is Innodata'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 Innodata's market value can be influenced by many factors that don't directly affect Innodata'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 Innodata's value and its price as these two are different measures arrived at by different means. Investors typically determine if Innodata is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Innodata'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.