Tema Etf Trust Etf Market Value
| DSPY Etf | 59.63 0.00 0.00% |
| Symbol | Tema |
The market value of Tema ETF Trust is measured differently than its book value, which is the value of Tema that is recorded on the company's balance sheet. Investors also form their own opinion of Tema ETF's value that differs from its market value or its book value, called intrinsic value, which is Tema ETF'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 Tema ETF's market value can be influenced by many factors that don't directly affect Tema ETF'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 Tema ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Tema ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tema ETF'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.
Tema ETF '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 Tema ETF'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 Tema ETF.
| 07/28/2024 |
| 01/19/2026 |
If you would invest 0.00 in Tema ETF on July 28, 2024 and sell it all today you would earn a total of 0.00 from holding Tema ETF Trust or generate 0.0% return on investment in Tema ETF over 540 days. Tema ETF is related to or competes with Innovator, Innovator, American Century, SEI Exchange, Innovator Laddered, IShares Morningstar, and Invesco SP. Tema ETF is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
Tema ETF 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 Tema ETF'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 Tema ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7361 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 2.93 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.0 |
Tema ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tema ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tema ETF's standard deviation. In reality, there are many statistical measures that can use Tema ETF historical prices to predict the future Tema ETF's volatility.| Risk Adjusted Performance | 0.0816 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0838 |
Tema ETF Trust Backtested Returns
At this stage we consider Tema Etf to be very steady. Tema ETF Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0955, which indicates the etf had a 0.0955 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Tema ETF Trust, which you can use to evaluate the volatility of the etf. Please validate Tema ETF's Semi Deviation of 0.6486, coefficient of variation of 843.7, and Risk Adjusted Performance of 0.0816 to confirm if the risk estimate we provide is consistent with the expected return of 0.0625%. The entity has a beta of 0.81, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Tema ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Tema ETF is expected to be smaller as well.
Auto-correlation | -0.23 |
Weak reverse predictability
Tema ETF Trust has weak reverse predictability. Overlapping area represents the amount of predictability between Tema ETF time series from 28th of July 2024 to 24th of April 2025 and 24th of April 2025 to 19th 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 Tema ETF Trust price movement. The serial correlation of -0.23 indicates that over 23.0% of current Tema ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 1.43 |
Tema ETF Trust lagged returns against current returns
Autocorrelation, which is Tema ETF 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 Tema ETF's etf expected returns. We can calculate the autocorrelation of Tema ETF returns to help us make a trade decision. For example, suppose you find that Tema ETF 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 |
Tema ETF 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 Tema ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tema ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tema ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Tema ETF Lagged Returns
When evaluating Tema ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tema ETF etf have on its future price. Tema ETF 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, Tema ETF autocorrelation shows the relationship between Tema ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Tema ETF Trust.
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 Tema ETF Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Tema ETF's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Tema Etf Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Tema Etf Trust Etf:Check out Tema ETF Correlation, Tema ETF Volatility and Tema ETF Alpha and Beta module to complement your research on Tema ETF. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Tema ETF 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.