Leverage Shares (Germany) Market Value
| 2VA Etf | 73.93 1.15 1.53% |
| Symbol | Leverage |
Leverage Shares '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 Leverage Shares' 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 Leverage Shares.
| 01/03/2023 |
| 12/23/2024 |
If you would invest 0.00 in Leverage Shares on January 3, 2023 and sell it all today you would earn a total of 0.00 from holding Leverage Shares 2x or generate 0.0% return on investment in Leverage Shares over 720 days.
Leverage Shares 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 Leverage Shares' 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 Leverage Shares 2x upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.51 | |||
| Information Ratio | 0.1317 | |||
| Maximum Drawdown | 13.29 | |||
| Value At Risk | (3.04) | |||
| Potential Upside | 3.66 |
Leverage Shares Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Leverage Shares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Leverage Shares' standard deviation. In reality, there are many statistical measures that can use Leverage Shares historical prices to predict the future Leverage Shares' volatility.| Risk Adjusted Performance | 0.1215 | |||
| Jensen Alpha | 0.3582 | |||
| Total Risk Alpha | 0.2777 | |||
| Sortino Ratio | 0.1295 | |||
| Treynor Ratio | (0.67) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Leverage Shares' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Leverage Shares 2x Backtested Returns
Leverage Shares appears to be very steady, given 3 months investment horizon. Leverage Shares 2x has Sharpe Ratio of 0.23, which conveys that the entity had a 0.23% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Leverage Shares, which you can use to evaluate the volatility of the etf. Please exercise Leverage Shares' Risk Adjusted Performance of 0.1215, downside deviation of 2.51, and Mean Deviation of 1.63 to check out if our risk estimates are consistent with your expectations. The etf secures a Beta (Market Risk) of -0.51, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Leverage Shares are expected to decrease at a much lower rate. During the bear market, Leverage Shares is likely to outperform the market.
Auto-correlation | 0.47 |
Average predictability
Leverage Shares 2x has average predictability. Overlapping area represents the amount of predictability between Leverage Shares time series from 3rd of January 2023 to 29th of December 2023 and 29th of December 2023 to 23rd 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 Leverage Shares 2x price movement. The serial correlation of 0.47 indicates that about 47.0% of current Leverage Shares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 39.1 |
Leverage Shares 2x lagged returns against current returns
Autocorrelation, which is Leverage Shares 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 Leverage Shares' etf expected returns. We can calculate the autocorrelation of Leverage Shares returns to help us make a trade decision. For example, suppose you find that Leverage Shares 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 |
Leverage Shares 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 Leverage Shares etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Leverage Shares etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Leverage Shares etf over time.
Current vs Lagged Prices |
| Timeline |
Leverage Shares Lagged Returns
When evaluating Leverage Shares' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Leverage Shares etf have on its future price. Leverage Shares 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, Leverage Shares autocorrelation shows the relationship between Leverage Shares etf current value and its past values and can show if there is a momentum factor associated with investing in Leverage Shares 2x.
Regressed Prices |
| Timeline |