Themes Natural Monopoly Etf Market Value
| CZAR Etf | 29.85 0.28 0.95% |
| Symbol | Themes |
The market value of Themes Natural Monopoly 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 Natural's value that differs from its market value or its book value, called intrinsic value, which is Themes Natural'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 Natural's market value can be influenced by many factors that don't directly affect Themes Natural'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 Natural's value and its price as these two are different measures arrived at by different means. Investors typically determine if Themes Natural is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Themes Natural'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 Natural '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 Natural'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 Natural.
| 10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in Themes Natural on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding Themes Natural Monopoly or generate 0.0% return on investment in Themes Natural over 30 days. Themes Natural is related to or competes with Pacer Nasdaq, Pacer Funds, FT Vest, Zillow Group, Northern Lights, and VanEck Vectors. Themes Natural is entity of United States More
Themes Natural 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 Natural'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 Natural Monopoly upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7545 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 3.19 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.12 |
Themes Natural Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Themes Natural's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Themes Natural's standard deviation. In reality, there are many statistical measures that can use Themes Natural historical prices to predict the future Themes Natural's volatility.| Risk Adjusted Performance | 0.073 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 0.0803 |
Themes Natural Monopoly Backtested Returns
Currently, Themes Natural Monopoly is very steady. Themes Natural Monopoly owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0781, which indicates the etf had a 0.0781% return per unit of risk over the last 3 months. We have found thirty technical indicators for Themes Natural Monopoly, which you can use to evaluate the volatility of the etf. Please validate Themes Natural's Risk Adjusted Performance of 0.073, coefficient of variation of 1042.44, and Semi Deviation of 0.6279 to confirm if the risk estimate we provide is consistent with the expected return of 0.056%. The entity has a beta of 0.74, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Themes Natural's returns are expected to increase less than the market. However, during the bear market, the loss of holding Themes Natural is expected to be smaller as well.
Auto-correlation | 0.82 |
Very good predictability
Themes Natural Monopoly has very good predictability. Overlapping area represents the amount of predictability between Themes Natural time series from 25th of October 2024 to 9th of November 2024 and 9th of November 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 Natural Monopoly price movement. The serial correlation of 0.82 indicates that around 82.0% of current Themes Natural price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.82 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Themes Natural Monopoly lagged returns against current returns
Autocorrelation, which is Themes Natural 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 Natural's etf expected returns. We can calculate the autocorrelation of Themes Natural returns to help us make a trade decision. For example, suppose you find that Themes Natural 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 Natural 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 Natural etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Themes Natural etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Themes Natural etf over time.
Current vs Lagged Prices |
| Timeline |
Themes Natural Lagged Returns
When evaluating Themes Natural's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Themes Natural etf have on its future price. Themes Natural 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 Natural autocorrelation shows the relationship between Themes Natural etf current value and its past values and can show if there is a momentum factor associated with investing in Themes Natural Monopoly.
Regressed Prices |
| Timeline |
Pair Trading with Themes Natural
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Themes Natural position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Themes Natural will appreciate offsetting losses from the drop in the long position's value.Moving together with Themes Etf
| 0.78 | VTI | Vanguard Total Stock | PairCorr |
| 0.8 | SPY | SPDR SP 500 Aggressive Push | PairCorr |
| 0.8 | IVV | iShares Core SP | PairCorr |
| 0.89 | VIG | Vanguard Dividend | PairCorr |
| 0.79 | VV | Vanguard Large Cap | PairCorr |
Moving against Themes Etf
| 0.5 | VIIX | VIIX | PairCorr |
| 0.46 | YCL | ProShares Ultra Yen | PairCorr |
| 0.43 | FXY | Invesco CurrencyShares | PairCorr |
| 0.4 | ULE | ProShares Ultra Euro | PairCorr |
The ability to find closely correlated positions to Themes Natural could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Themes Natural when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Themes Natural - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Themes Natural Monopoly to buy it.
The correlation of Themes Natural is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Themes Natural moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Themes Natural Monopoly moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Themes Natural can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Themes Natural Correlation, Themes Natural Volatility and Themes Natural Alpha and Beta module to complement your research on Themes Natural. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Themes Natural 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.