Themes Cybersecurity Etf Market Value
| SPAM Etf | 30.25 0.13 0.43% |
| Symbol | Themes |
The market value of Themes Cybersecurity ETF 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 Cybersecurity's value that differs from its market value or its book value, called intrinsic value, which is Themes Cybersecurity'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 Cybersecurity's market value can be influenced by many factors that don't directly affect Themes Cybersecurity'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 Cybersecurity's value and its price as these two are different measures arrived at by different means. Investors typically determine if Themes Cybersecurity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Themes Cybersecurity'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 Cybersecurity '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 Cybersecurity'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 Cybersecurity.
| 09/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in Themes Cybersecurity on September 25, 2024 and sell it all today you would earn a total of 0.00 from holding Themes Cybersecurity ETF or generate 0.0% return on investment in Themes Cybersecurity over 60 days. Themes Cybersecurity is related to or competes with IShares Dividend, Martin Currie, VictoryShares THB, Mast Global, AdvisorShares Gerber, Amplify ETF, and Tidal ETF. Themes Cybersecurity is entity of United States More
Themes Cybersecurity 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 Cybersecurity'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 Cybersecurity ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.24 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 5.8 | |||
| Value At Risk | (2.17) | |||
| Potential Upside | 1.88 |
Themes Cybersecurity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Themes Cybersecurity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Themes Cybersecurity's standard deviation. In reality, there are many statistical measures that can use Themes Cybersecurity historical prices to predict the future Themes Cybersecurity's volatility.| Risk Adjusted Performance | 0.0683 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0751 |
Themes Cybersecurity ETF Backtested Returns
As of now, Themes Etf is very steady. Themes Cybersecurity ETF owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.074, which indicates the etf had a 0.074% return per unit of risk over the last 3 months. We have found thirty technical indicators for Themes Cybersecurity ETF, which you can use to evaluate the volatility of the etf. Please validate Themes Cybersecurity's Coefficient Of Variation of 1188.32, semi deviation of 1.18, and Risk Adjusted Performance of 0.0683 to confirm if the risk estimate we provide is consistent with the expected return of 0.0905%. The entity has a beta of 1.25, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Themes Cybersecurity will likely underperform.
Auto-correlation | 0.45 |
Average predictability
Themes Cybersecurity ETF has average predictability. Overlapping area represents the amount of predictability between Themes Cybersecurity time series from 25th of September 2024 to 25th of October 2024 and 25th of October 2024 to 24th of November 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 Themes Cybersecurity ETF price movement. The serial correlation of 0.45 indicates that just about 45.0% of current Themes Cybersecurity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.37 |
Themes Cybersecurity ETF lagged returns against current returns
Autocorrelation, which is Themes Cybersecurity 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 Cybersecurity's etf expected returns. We can calculate the autocorrelation of Themes Cybersecurity returns to help us make a trade decision. For example, suppose you find that Themes Cybersecurity 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 Cybersecurity 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 Cybersecurity etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Themes Cybersecurity etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Themes Cybersecurity etf over time.
Current vs Lagged Prices |
| Timeline |
Themes Cybersecurity Lagged Returns
When evaluating Themes Cybersecurity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Themes Cybersecurity etf have on its future price. Themes Cybersecurity 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 Cybersecurity autocorrelation shows the relationship between Themes Cybersecurity etf current value and its past values and can show if there is a momentum factor associated with investing in Themes Cybersecurity ETF.
Regressed Prices |
| Timeline |
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Themes Cybersecurity 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.