Ideanomics Stock Market Value
IDEX Stock | USD 0.85 0.03 3.41% |
Symbol | Ideanomics |
Ideanomics Price To Book Ratio
Is Ideanomics' 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 Ideanomics. If investors know Ideanomics 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 Ideanomics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (55.95) | Revenue Per Share 11.571 | Quarterly Revenue Growth (0.92) | Return On Assets (0.35) | Return On Equity (2.34) |
The market value of Ideanomics is measured differently than its book value, which is the value of Ideanomics that is recorded on the company's balance sheet. Investors also form their own opinion of Ideanomics' value that differs from its market value or its book value, called intrinsic value, which is Ideanomics' 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 Ideanomics' market value can be influenced by many factors that don't directly affect Ideanomics' 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 Ideanomics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Ideanomics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ideanomics' 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.
Ideanomics '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 Ideanomics' 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 Ideanomics.
03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Ideanomics on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Ideanomics or generate 0.0% return on investment in Ideanomics over 30 days. Ideanomics is related to or competes with Deere, Caterpillar, Lion Electric, Xos, NikolaCorp, Wabash National, and Hydrofarm Holdings. Ideanomics, Inc., through its subsidiaries, develops zero emission mobility solutions for the off-highway and on-highway... More
Ideanomics 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 Ideanomics' 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 Ideanomics upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.03) | |||
Maximum Drawdown | 87.18 | |||
Value At Risk | (7.78) | |||
Potential Upside | 9.68 |
Ideanomics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ideanomics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ideanomics' standard deviation. In reality, there are many statistical measures that can use Ideanomics historical prices to predict the future Ideanomics' volatility.Jensen Alpha | (0.19) | |||
Total Risk Alpha | (1.37) | |||
Treynor Ratio | (0.28) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ideanomics' 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.
Ideanomics Backtested Returns
We consider Ideanomics out of control. Ideanomics holds Efficiency (Sharpe) Ratio of 0.0054, which attests that the entity had a 0.0054% return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Ideanomics, which you can use to evaluate the volatility of the firm. Please check out Ideanomics' market risk adjusted performance of (0.27), and Standard Deviation of 8.99 to validate if the risk estimate we provide is consistent with the expected return of 0.0497%. The company retains a Market Volatility (i.e., Beta) of 0.52, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Ideanomics' returns are expected to increase less than the market. However, during the bear market, the loss of holding Ideanomics is expected to be smaller as well. Ideanomics right now retains a risk of 9.19%. Please check out Ideanomics treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if Ideanomics will be following its current trending patterns.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
Ideanomics has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Ideanomics time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th of April 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 Ideanomics price movement. The serial correlation of -0.72 indicates that around 72.0% of current Ideanomics price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.72 | |
Spearman Rank Test | 0.39 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Ideanomics lagged returns against current returns
Autocorrelation, which is Ideanomics 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 Ideanomics' stock expected returns. We can calculate the autocorrelation of Ideanomics returns to help us make a trade decision. For example, suppose you find that Ideanomics 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 |
Ideanomics 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 Ideanomics stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ideanomics stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ideanomics stock over time.
Current vs Lagged Prices |
Timeline |
Ideanomics Lagged Returns
When evaluating Ideanomics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ideanomics stock have on its future price. Ideanomics 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, Ideanomics autocorrelation shows the relationship between Ideanomics stock current value and its past values and can show if there is a momentum factor associated with investing in Ideanomics.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Ideanomics in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Ideanomics' short interest history, or implied volatility extrapolated from Ideanomics options trading.
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Try AI Portfolio ArchitectCheck out Ideanomics Correlation, Ideanomics Volatility and Ideanomics Alpha and Beta module to complement your research on Ideanomics. For more information on how to buy Ideanomics Stock please use our How to Invest in Ideanomics guide.Note that the Ideanomics information on this page should be used as a complementary analysis to other Ideanomics' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Complementary Tools for Ideanomics Stock analysis
When running Ideanomics' price analysis, check to measure Ideanomics' 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 Ideanomics is operating at the current time. Most of Ideanomics' value examination focuses on studying past and present price action to predict the probability of Ideanomics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ideanomics' price. Additionally, you may evaluate how the addition of Ideanomics to your portfolios can decrease your overall portfolio volatility.
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