Themes Generative Artificial Etf Market Value
| WISE Etf | 39.92 0.95 2.44% |
| Symbol | Themes |
The market value of Themes Generative is measured differently than its book value, which is the value of Themes that is recorded on the company's balance sheet. Investors also form their own opinion of Themes Generative's value that differs from its market value or its book value, called intrinsic value, which is Themes Generative'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 Themes Generative's market value can be influenced by many factors that don't directly affect Themes Generative'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 Themes Generative's value and its price as these two are different measures arrived at by different means. Investors typically determine if Themes Generative is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Themes Generative'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.
Themes Generative '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 Themes Generative's etf 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 Themes Generative.
| 12/06/2025 |
| 01/05/2026 |
If you would invest 0.00 in Themes Generative on December 6, 2025 and sell it all today you would earn a total of 0.00 from holding Themes Generative Artificial or generate 0.0% return on investment in Themes Generative over 30 days. Themes Generative is related to or competes with Touchstone ETF, Spinnaker ETF, Hartford Multifactor, Northern Lights, Franklin FTSE, Global X, and Amplify Travel. More
Themes Generative 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 Themes Generative's etf 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 Themes Generative Artificial upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 9.86 | |||
| Value At Risk | (4.19) | |||
| Potential Upside | 3.23 |
Themes Generative Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Themes Generative's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Themes Generative's standard deviation. In reality, there are many statistical measures that can use Themes Generative historical prices to predict the future Themes Generative's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.35) | |||
| Treynor Ratio | 3.2 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Themes Generative'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.
Themes Generative Backtested Returns
Themes Generative owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0611, which indicates the etf had a -0.0611 % return per unit of risk over the last 3 months. Themes Generative Artificial exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Themes Generative's Coefficient Of Variation of (1,393), risk adjusted performance of (0.04), and Variance of 5.24 to confirm the risk estimate we provide. The entity has a beta of -0.0545, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Themes Generative are expected to decrease at a much lower rate. During the bear market, Themes Generative is likely to outperform the market.
Auto-correlation | -0.04 |
Very weak reverse predictability
Themes Generative Artificial has very weak reverse predictability. Overlapping area represents the amount of predictability between Themes Generative time series from 6th of December 2025 to 21st of December 2025 and 21st of December 2025 to 5th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Themes Generative price movement. The serial correlation of -0.04 indicates that only as little as 4.0% of current Themes Generative price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Themes Generative lagged returns against current returns
Autocorrelation, which is Themes Generative etf'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 Themes Generative's etf expected returns. We can calculate the autocorrelation of Themes Generative returns to help us make a trade decision. For example, suppose you find that Themes Generative has exhibited high autocorrelation historically, and you observe that the etf 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 |
Themes Generative 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 Themes Generative etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Themes Generative etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Themes Generative etf over time.
Current vs Lagged Prices |
| Timeline |
Themes Generative Lagged Returns
When evaluating Themes Generative's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Themes Generative etf have on its future price. Themes Generative 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, Themes Generative autocorrelation shows the relationship between Themes Generative etf current value and its past values and can show if there is a momentum factor associated with investing in Themes Generative Artificial.
Regressed Prices |
| Timeline |
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Check out Themes Generative Correlation, Themes Generative Volatility and Themes Generative Alpha and Beta module to complement your research on Themes Generative. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Themes Generative technical etf 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, etf market cycles, or different charting patterns.