Innodata Stock Market Value
| INOD Stock | USD 45.39 0.62 1.38% |
| Symbol | Innodata |
Innodata Price To Book Ratio
Is Data Processing & Outsourced Services 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 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 50 | Earnings Share 0.11 | Revenue Per Share 4.764 | Quarterly Revenue Growth 1.356 | Return On Assets 0.1351 |
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.
Innodata '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 Innodata'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 Innodata.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Innodata on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Innodata or generate 0.0% return on investment in Innodata over 30 days. Innodata is related to or competes with ASGN, Formula Systems, FiscalNote Holdings, International Business, Aurora Innovation, BigBearai Holdings, and CLPS. Innodata Inc. operates as a global data engineering company in the United States, the United Kingdom, the Netherlands, C... More
Innodata 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 Innodata'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 Innodata upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.86 | |||
| Information Ratio | 0.1603 | |||
| Maximum Drawdown | 90.24 | |||
| Value At Risk | (7.63) | |||
| Potential Upside | 9.36 |
Innodata Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Innodata's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Innodata's standard deviation. In reality, there are many statistical measures that can use Innodata historical prices to predict the future Innodata's volatility.| Risk Adjusted Performance | 0.1418 | |||
| Jensen Alpha | 1.36 | |||
| Total Risk Alpha | 0.1506 | |||
| Sortino Ratio | 0.345 | |||
| Treynor Ratio | 0.4957 |
Innodata Backtested Returns
Innodata is relatively risky given 3 months investment horizon. Innodata holds Efficiency (Sharpe) Ratio of 0.18, which attests that the entity had a 0.18% return per unit of risk over the last 3 months. We were able to break down and interpolate data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.91% are justified by taking the suggested risk. Use Innodata Market Risk Adjusted Performance of 0.5057, downside deviation of 4.86, and Risk Adjusted Performance of 0.1418 to evaluate company specific risk that cannot be diversified away. Innodata holds a performance score of 14 on a scale of zero to a hundred. The company retains a Market Volatility (i.e., Beta) of 3.62, which attests to 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, Innodata will likely underperform. Use Innodata sortino ratio, skewness, period momentum indicator, as well as the relationship between the potential upside and rate of daily change , to analyze future returns on Innodata.
Auto-correlation | 0.36 |
Below average predictability
Innodata has below average predictability. Overlapping area represents the amount of predictability between Innodata time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Innodata price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Innodata price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 10.11 |
Innodata lagged returns against current returns
Autocorrelation, which is Innodata 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 Innodata's stock expected returns. We can calculate the autocorrelation of Innodata returns to help us make a trade decision. For example, suppose you find that Innodata 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 |
Innodata 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 Innodata stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Innodata stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Innodata stock over time.
Current vs Lagged Prices |
| Timeline |
Innodata Lagged Returns
When evaluating Innodata's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Innodata stock have on its future price. Innodata 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, Innodata autocorrelation shows the relationship between Innodata stock current value and its past values and can show if there is a momentum factor associated with investing in Innodata.
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.When determining whether Innodata is a strong investment it is important to analyze Innodata's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Innodata's future performance. For an informed investment choice regarding Innodata Stock, refer to the following important reports:Check out Innodata Correlation, Innodata Volatility and Innodata Alpha and Beta module to complement your research on Innodata. For information on how to trade Innodata Stock refer to our How to Trade Innodata Stock guide.You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Innodata 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.