Tema Oncology Etf Market Value
| CANC Etf | 27.82 0.13 0.47% |
| Symbol | Tema |
The market value of Tema Oncology ETF 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 Oncology's value that differs from its market value or its book value, called intrinsic value, which is Tema Oncology'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 Oncology's market value can be influenced by many factors that don't directly affect Tema Oncology'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 Oncology's value and its price as these two are different measures arrived at by different means. Investors typically determine if Tema Oncology is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tema Oncology'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 Oncology '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 Oncology'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 Oncology.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Tema Oncology on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Tema Oncology ETF or generate 0.0% return on investment in Tema Oncology over 30 days. Tema Oncology is related to or competes with Fidelity MSCI, Fidelity MSCI, Fidelity MSCI, Fidelity MSCI, and Fidelity MSCI. Tema Oncology is entity of United States More
Tema Oncology 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 Oncology'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 Oncology ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 6.18 | |||
| Value At Risk | (2.15) | |||
| Potential Upside | 1.43 |
Tema Oncology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tema Oncology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tema Oncology's standard deviation. In reality, there are many statistical measures that can use Tema Oncology historical prices to predict the future Tema Oncology's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (0.12) |
Tema Oncology ETF Backtested Returns
Tema Oncology ETF owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0436, which indicates the etf had a -0.0436% return per unit of risk over the last 3 months. Tema Oncology ETF exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Tema Oncology's Coefficient Of Variation of (1,319), risk adjusted performance of (0.05), and Variance of 1.48 to confirm the risk estimate we provide. The entity has a beta of 0.86, which indicates possible diversification benefits within a given portfolio. Tema Oncology returns are very sensitive to returns on the market. As the market goes up or down, Tema Oncology is expected to follow.
Auto-correlation | -0.08 |
Very weak reverse predictability
Tema Oncology ETF has very weak reverse predictability. Overlapping area represents the amount of predictability between Tema Oncology time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 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 Tema Oncology ETF price movement. The serial correlation of -0.08 indicates that barely 8.0% of current Tema Oncology price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.46 |
Tema Oncology ETF lagged returns against current returns
Autocorrelation, which is Tema Oncology 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 Oncology's etf expected returns. We can calculate the autocorrelation of Tema Oncology returns to help us make a trade decision. For example, suppose you find that Tema Oncology 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 Oncology 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 Oncology etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tema Oncology etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tema Oncology etf over time.
Current vs Lagged Prices |
| Timeline |
Tema Oncology Lagged Returns
When evaluating Tema Oncology's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tema Oncology etf have on its future price. Tema Oncology 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 Oncology autocorrelation shows the relationship between Tema Oncology etf current value and its past values and can show if there is a momentum factor associated with investing in Tema Oncology ETF.
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 Oncology ETF offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Tema Oncology'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 Oncology Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Tema Oncology Etf:Check out Tema Oncology Correlation, Tema Oncology Volatility and Tema Oncology Alpha and Beta module to complement your research on Tema Oncology. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Tema Oncology 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.