Xtrackers SLI (Switzerland) Market Value
| XSLI Etf | CHF 195.00 0.90 0.46% |
| Symbol | Xtrackers |
Xtrackers SLI '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 Xtrackers SLI'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 Xtrackers SLI.
| 01/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Xtrackers SLI on January 26, 2024 and sell it all today you would earn a total of 0.00 from holding Xtrackers SLI UCITS or generate 0.0% return on investment in Xtrackers SLI over 90 days. Xtrackers SLI is related to or competes with IShares VII, and IShares Core. The aim is for the investment to reflect the performance of the SLI Swiss Leader Index which is designed to reflect the ... More
Xtrackers SLI 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 Xtrackers SLI'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 Xtrackers SLI UCITS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5546 | |||
| Information Ratio | 0.0131 | |||
| Maximum Drawdown | 3.2 | |||
| Value At Risk | (0.81) | |||
| Potential Upside | 0.9299 |
Xtrackers SLI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Xtrackers SLI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xtrackers SLI's standard deviation. In reality, there are many statistical measures that can use Xtrackers SLI historical prices to predict the future Xtrackers SLI's volatility.| Risk Adjusted Performance | 0.1069 | |||
| Jensen Alpha | 0.083 | |||
| Total Risk Alpha | 0.0111 | |||
| Sortino Ratio | 0.0142 | |||
| Treynor Ratio | 0.779 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Xtrackers SLI's 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.
Xtrackers SLI UCITS Backtested Returns
We consider Xtrackers SLI very steady. Xtrackers SLI UCITS shows Sharpe Ratio of 0.0979, which attests that the etf had a 0.0979% return per unit of risk over the last 3 months. We have found thirty technical indicators for Xtrackers SLI UCITS, which you can use to evaluate the volatility of the etf. Please check out Xtrackers SLI's Market Risk Adjusted Performance of 0.789, mean deviation of 0.4664, and Downside Deviation of 0.5546 to validate if the risk estimate we provide is consistent with the expected return of 0.0601%. The entity maintains a market beta of 0.12, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Xtrackers SLI's returns are expected to increase less than the market. However, during the bear market, the loss of holding Xtrackers SLI is expected to be smaller as well.
Auto-correlation | -0.76 |
Almost perfect reverse predictability
Xtrackers SLI UCITS has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Xtrackers SLI time series from 26th of January 2024 to 11th of March 2024 and 11th of March 2024 to 25th of April 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 Xtrackers SLI UCITS price movement. The serial correlation of -0.76 indicates that around 76.0% of current Xtrackers SLI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.76 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 6.2 |
Xtrackers SLI UCITS lagged returns against current returns
Autocorrelation, which is Xtrackers SLI 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 Xtrackers SLI's etf expected returns. We can calculate the autocorrelation of Xtrackers SLI returns to help us make a trade decision. For example, suppose you find that Xtrackers SLI 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 |
Xtrackers SLI 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 Xtrackers SLI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xtrackers SLI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xtrackers SLI etf over time.
Current vs Lagged Prices |
| Timeline |
Xtrackers SLI Lagged Returns
When evaluating Xtrackers SLI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xtrackers SLI etf have on its future price. Xtrackers SLI 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, Xtrackers SLI autocorrelation shows the relationship between Xtrackers SLI etf current value and its past values and can show if there is a momentum factor associated with investing in Xtrackers SLI UCITS.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Xtrackers SLI in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Xtrackers SLI's short interest history, or implied volatility extrapolated from Xtrackers SLI options trading.
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Xtrackers SLI 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.