Innodata Stock Price Prediction

Intrinsic Valuation Low Real High 26.66 38.64 50.62 Details

Naive Forecast Low Next High 25.05 37.03 49.01 Details

4 Analysts Consensus Low Target High 42.16 46.33 51.43 Details

Earnings Estimates (0) Low Projected EPS High 0.08 0.12 0.18 Details

Innodata After-Hype Price Prediction Density Analysis

Innodata Estimiated After-Hype Price Volatility

Innodata Stock Price Prediction Analysis

Expected Return	Period Volatility	Hype Elasticity	Related Elasticity	News Density	Related Density	Expected Hype
1.41	11.98	3.61	0.29	9 Events / Month	6 Events / Month	In about 9 days

Latest traded price	Expected after-news price	Potential return on next major news	Average after-hype volatility
38.71	42.32	9.33	467.97   Notes

Innodata Hype Timeline

Innodata is currently traded for 38.71. The entity has historical hype elasticity of 3.61, and average elasticity to hype of competition of -0.29. Innodata is estimated to increase in value after the next headline, with the price projected to jump to 42.32 or above. The average volatility of media hype impact on the company the price is over 100%. The price growth on the next news is projected to be 9.33%, whereas the daily expected return is currently at 1.41%. The volatility of related hype on Innodata is about 5815.53%, with the expected price after the next announcement by competition of 38.42. The company has return on total asset (ROA) of 0.1351 % which means that it generated a profit of $0.1351 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.5792 %, meaning that it created $0.5792 on every $100 dollars invested by stockholders. Innodata's management efficiency ratios could be used to measure how well Innodata manages its routine affairs as well as how well it operates its assets and liabilities. As of January 31, 2025, Return On Tangible Assets is expected to decline to -0.03. The current year's Return On Capital Employed is expected to grow to -0.42. At present, Innodata's Intangible Assets are projected to increase significantly based on the last few years of reporting. The current year's Other Assets is expected to grow to about 4.2 M, whereas Non Currrent Assets Other are forecasted to decline to about 2.1 M. Given the investment horizon of 90 days the next estimated press release will be in about 9 days. Check out Innodata Basic Forecasting Models to cross-verify your projections. For information on how to trade Innodata Stock refer to our How to Trade Innodata Stock guide.

Innodata Related Hype Analysis

Innodata Additional Predictive Modules

Most predictive techniques to examine Innodata price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Innodata using various technical indicators. When you analyze Innodata charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

The successful prediction of Innodata stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Innodata, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Innodata based on analysis of Innodata hews, social hype, general headline patterns, and widely used predictive technical indicators.

The number of cover stories for Innodata depends on current market conditions and Innodata's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Innodata is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Innodata's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Innodata's future price predictability will typically decrease when Innodata's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Innodata often depends not only on the future outlook of the 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.

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.