Themes Small Cap Etf Market Value
SMCF Etf | 31.30 0.22 0.70% |
Symbol | Themes |
The market value of Themes Small Cap 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 Small's value that differs from its market value or its book value, called intrinsic value, which is Themes Small'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 Small's market value can be influenced by many factors that don't directly affect Themes Small'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 Small's value and its price as these two are different measures arrived at by different means. Investors typically determine if Themes Small is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Themes Small'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 Small '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 Small'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 Small.
04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in Themes Small on April 22, 2025 and sell it all today you would earn a total of 0.00 from holding Themes Small Cap or generate 0.0% return on investment in Themes Small over 90 days. Themes Small is related to or competes with Dimensional ETF, Vanguard Small, First Trust, Vanguard, Vanguard, Vanguard, and Invesco DWA. Themes Small is entity of United States. It is traded as Etf on NASDAQ exchange. More
Themes Small 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 Small'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 Small Cap upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.05 | |||
Information Ratio | 0.1233 | |||
Maximum Drawdown | 6.62 | |||
Value At Risk | (1.69) | |||
Potential Upside | 2.43 |
Themes Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Themes Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Themes Small's standard deviation. In reality, there are many statistical measures that can use Themes Small historical prices to predict the future Themes Small's volatility.Risk Adjusted Performance | 0.2216 | |||
Jensen Alpha | 0.155 | |||
Total Risk Alpha | 0.1096 | |||
Sortino Ratio | 0.1488 | |||
Treynor Ratio | 0.2842 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Themes Small'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 Small Cap Backtested Returns
Themes Small appears to be very steady, given 3 months investment horizon. Themes Small Cap owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.24, which indicates the etf had a 0.24 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Themes Small Cap, which you can use to evaluate the volatility of the etf. Please review Themes Small's Semi Deviation of 0.7995, coefficient of variation of 426.56, and Risk Adjusted Performance of 0.2216 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 1.01, which indicates a somewhat significant risk relative to the market. Themes Small returns are very sensitive to returns on the market. As the market goes up or down, Themes Small is expected to follow.
Auto-correlation | 0.78 |
Good predictability
Themes Small Cap has good predictability. Overlapping area represents the amount of predictability between Themes Small time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 2025. 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 Small Cap price movement. The serial correlation of 0.78 indicates that around 78.0% of current Themes Small price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.78 | |
Spearman Rank Test | 0.83 | |
Residual Average | 0.0 | |
Price Variance | 0.85 |
Themes Small Cap lagged returns against current returns
Autocorrelation, which is Themes Small 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 Small's etf expected returns. We can calculate the autocorrelation of Themes Small returns to help us make a trade decision. For example, suppose you find that Themes Small 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 Small 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 Small etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Themes Small etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Themes Small etf over time.
Current vs Lagged Prices |
Timeline |
Themes Small Lagged Returns
When evaluating Themes Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Themes Small etf have on its future price. Themes Small 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 Small autocorrelation shows the relationship between Themes Small etf current value and its past values and can show if there is a momentum factor associated with investing in Themes Small Cap.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
When determining whether Themes Small Cap is a strong investment it is important to analyze Themes Small'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 Themes Small's future performance. For an informed investment choice regarding Themes Etf, refer to the following important reports:Check out Themes Small Correlation, Themes Small Volatility and Themes Small Alpha and Beta module to complement your research on Themes Small. You can also try the Stocks Directory module to find actively traded stocks across global markets.
Themes Small 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.