Themes Lithium Battery Etf Market Value
| LIMI Etf | 30.35 1.11 3.53% |
| Symbol | Themes |
The market value of Themes Lithium Battery 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 Lithium's value that differs from its market value or its book value, called intrinsic value, which is Themes Lithium'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 Lithium's market value can be influenced by many factors that don't directly affect Themes Lithium'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 Lithium's value and its price as these two are different measures arrived at by different means. Investors typically determine if Themes Lithium is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Themes Lithium'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 Lithium '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 Lithium'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 Lithium.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Themes Lithium on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Themes Lithium Battery or generate 0.0% return on investment in Themes Lithium over 30 days. Themes Lithium is related to or competes with First Trust, Ultimus Managers, Horizon Kinetics, Harbor Health, American Beacon, First Trust, and Direxion Daily. Themes Lithium is entity of United States More
Themes Lithium 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 Lithium'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 Lithium Battery upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.66 | |||
| Information Ratio | 0.093 | |||
| Maximum Drawdown | 13.64 | |||
| Value At Risk | (3.38) | |||
| Potential Upside | 4.54 |
Themes Lithium Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Themes Lithium's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Themes Lithium's standard deviation. In reality, there are many statistical measures that can use Themes Lithium historical prices to predict the future Themes Lithium's volatility.| Risk Adjusted Performance | 0.113 | |||
| Jensen Alpha | 0.3751 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0994 | |||
| Treynor Ratio | 5.92 |
Themes Lithium Battery Backtested Returns
Themes Lithium appears to be very steady, given 3 months investment horizon. Themes Lithium Battery owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the etf had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Themes Lithium Battery, which you can use to evaluate the volatility of the etf. Please review Themes Lithium's Risk Adjusted Performance of 0.113, semi deviation of 2.51, and Coefficient Of Variation of 722.88 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.0647, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Themes Lithium's returns are expected to increase less than the market. However, during the bear market, the loss of holding Themes Lithium is expected to be smaller as well.
Auto-correlation | 0.14 |
Insignificant predictability
Themes Lithium Battery has insignificant predictability. Overlapping area represents the amount of predictability between Themes Lithium time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 Lithium Battery price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Themes Lithium price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.14 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 0.36 |
Themes Lithium Battery lagged returns against current returns
Autocorrelation, which is Themes Lithium 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 Lithium's etf expected returns. We can calculate the autocorrelation of Themes Lithium returns to help us make a trade decision. For example, suppose you find that Themes Lithium 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 |
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Themes Lithium 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 Lithium etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Themes Lithium etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Themes Lithium etf over time.
Current vs Lagged Prices |
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Themes Lithium Lagged Returns
When evaluating Themes Lithium's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Themes Lithium etf have on its future price. Themes Lithium 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 Lithium autocorrelation shows the relationship between Themes Lithium etf current value and its past values and can show if there is a momentum factor associated with investing in Themes Lithium Battery.
Regressed Prices |
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Currently Active Assets on Macroaxis
When determining whether Themes Lithium Battery offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Themes Lithium'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 Themes Lithium Battery Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Themes Lithium Battery Etf:Check out Themes Lithium Correlation, Themes Lithium Volatility and Themes Lithium Alpha and Beta module to complement your research on Themes Lithium. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Themes Lithium 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.