Themes Copper Miners Etf Market Value
| COPA Etf | 24.92 0.23 0.93% |
| Symbol | Themes |
The market value of Themes Copper Miners 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 Copper's value that differs from its market value or its book value, called intrinsic value, which is Themes Copper'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 Copper's market value can be influenced by many factors that don't directly affect Themes Copper'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 Copper's value and its price as these two are different measures arrived at by different means. Investors typically determine if Themes Copper is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Themes Copper'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 Copper '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 Copper'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 Copper.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Themes Copper on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Themes Copper Miners or generate 0.0% return on investment in Themes Copper over 30 days. Themes Copper is related to or competes with FlexShares Morningstar, SPDR Russell, SPDR MSCI, and Dfa Intermediate. More
Themes Copper 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 Copper'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 Copper Miners upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 11.24 | |||
| Value At Risk | (3.87) | |||
| Potential Upside | 4.81 |
Themes Copper Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Themes Copper's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Themes Copper's standard deviation. In reality, there are many statistical measures that can use Themes Copper historical prices to predict the future Themes Copper's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | (18.73) |
Themes Copper Miners Backtested Returns
Themes Copper Miners owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0505, which indicates the etf had a -0.0505% return per unit of risk over the last 3 months. Themes Copper Miners exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Themes Copper's Variance of 5.64, coefficient of variation of (1,675), and Risk Adjusted Performance of (0.04) to confirm the risk estimate we provide. The entity has a beta of 0.0081, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Themes Copper's returns are expected to increase less than the market. However, during the bear market, the loss of holding Themes Copper is expected to be smaller as well.
Auto-correlation | 0.38 |
Below average predictability
Themes Copper Miners has below average predictability. Overlapping area represents the amount of predictability between Themes Copper time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 Copper Miners price movement. The serial correlation of 0.38 indicates that just about 38.0% of current Themes Copper price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Themes Copper Miners lagged returns against current returns
Autocorrelation, which is Themes Copper 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 Copper's etf expected returns. We can calculate the autocorrelation of Themes Copper returns to help us make a trade decision. For example, suppose you find that Themes Copper 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 Copper 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 Copper etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Themes Copper etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Themes Copper etf over time.
Current vs Lagged Prices |
| Timeline |
Themes Copper Lagged Returns
When evaluating Themes Copper's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Themes Copper etf have on its future price. Themes Copper 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 Copper autocorrelation shows the relationship between Themes Copper etf current value and its past values and can show if there is a momentum factor associated with investing in Themes Copper Miners.
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 Themes Copper Miners offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Themes Copper'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 Copper Miners Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Themes Copper Miners Etf:Check out Themes Copper Correlation, Themes Copper Volatility and Themes Copper Alpha and Beta module to complement your research on Themes Copper. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Themes Copper 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.