Leverage Shares (Netherlands) Market Value
| 2MSF Etf | EUR 30.47 1.06 3.36% |
| 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.
| 11/15/2024 |
| 12/15/2024 |
If you would invest 0.00 in Leverage Shares on November 15, 2024 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 30 days. Leverage Shares is related to or competes with SPDR Dow, IShares Core, IShares SP, IShares Core, IShares MSCI, and IShares MSCI. The objective of this product is to provide two times the value of the daily performance of Microsoft Corporation stock More
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 | 5.04 | |||
| Information Ratio | 0.077 | |||
| Maximum Drawdown | 25.0 | |||
| Value At Risk | (2.62) | |||
| Potential Upside | 5.3 |
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 | 0.0884 | |||
| Jensen Alpha | 0.2427 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0443 | |||
| Treynor Ratio | 0.3979 |
Leverage Shares 2x Backtested Returns
Leverage Shares appears to be very steady, given 3 months investment horizon. Leverage Shares 2x has Sharpe Ratio of 0.11, which conveys that the entity had a 0.11% return per unit of risk over the last 3 months. We have found thirty technical indicators for Leverage Shares, which you can use to evaluate the volatility of the etf. Please exercise Leverage Shares' Downside Deviation of 5.04, risk adjusted performance of 0.0884, and Mean Deviation of 1.44 to check out if our risk estimates are consistent with your expectations. The etf secures a Beta (Market Risk) of 0.79, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Leverage Shares' returns are expected to increase less than the market. However, during the bear market, the loss of holding Leverage Shares is expected to be smaller as well.
Auto-correlation | 0.00 |
No correlation between past and present
Leverage Shares 2x has no correlation between past and present. Overlapping area represents the amount of predictability between Leverage Shares time series from 15th of November 2024 to 30th of November 2024 and 30th of November 2024 to 15th 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 0.0 indicates that just 0.0% of current Leverage Shares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.97 | |
| Residual Average | 0.0 | |
| Price Variance | 1.48 |
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 |
Thematic Opportunities
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Other Information on Investing in Leverage Etf
Leverage Shares financial ratios help investors to determine whether Leverage Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Leverage with respect to the benefits of owning Leverage Shares security.