Lyxor SMI (Switzerland) Market Value
| LYSSL Etf | CHF 2.18 0.01 0.46% |
| Symbol | Lyxor |
Lyxor SMI '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 Lyxor SMI'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 Lyxor SMI.
| 06/08/2023 |
| 11/29/2024 |
If you would invest 0.00 in Lyxor SMI on June 8, 2023 and sell it all today you would earn a total of 0.00 from holding Lyxor SMI Daily or generate 0.0% return on investment in Lyxor SMI over 540 days. Lyxor SMI is related to or competes with IShares Core, IShares Core, and Lyxor UCITS. The investment seeks to track the price and performance yield, before fees and expenses, of the SMI Daily Short Leverage... More
Lyxor SMI 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 Lyxor SMI'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 Lyxor SMI Daily upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.66 | |||
| Information Ratio | 0.0411 | |||
| Maximum Drawdown | 7.09 | |||
| Value At Risk | (2.25) | |||
| Potential Upside | 2.94 |
Lyxor SMI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lyxor SMI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lyxor SMI's standard deviation. In reality, there are many statistical measures that can use Lyxor SMI historical prices to predict the future Lyxor SMI's volatility.| Risk Adjusted Performance | 0.0991 | |||
| Jensen Alpha | 0.1812 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0381 | |||
| Treynor Ratio | (7.44) |
Lyxor SMI Daily Backtested Returns
Currently, Lyxor SMI Daily is moderately volatile. Lyxor SMI Daily has Sharpe Ratio of 0.12, which conveys that the entity had a 0.12% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Lyxor SMI, which you can use to evaluate the volatility of the etf. Please verify Lyxor SMI's Mean Deviation of 1.21, downside deviation of 1.66, and Risk Adjusted Performance of 0.0991 to check out if the risk estimate we provide is consistent with the expected return of 0.19%. The etf secures a Beta (Market Risk) of -0.024, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Lyxor SMI are expected to decrease at a much lower rate. During the bear market, Lyxor SMI is likely to outperform the market.
Auto-correlation | -0.41 |
Modest reverse predictability
Lyxor SMI Daily has modest reverse predictability. Overlapping area represents the amount of predictability between Lyxor SMI time series from 8th of June 2023 to 4th of March 2024 and 4th of March 2024 to 29th 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 Lyxor SMI Daily price movement. The serial correlation of -0.41 indicates that just about 41.0% of current Lyxor SMI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.41 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Lyxor SMI Daily lagged returns against current returns
Autocorrelation, which is Lyxor SMI 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 Lyxor SMI's etf expected returns. We can calculate the autocorrelation of Lyxor SMI returns to help us make a trade decision. For example, suppose you find that Lyxor SMI 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 |
Lyxor SMI 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 Lyxor SMI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Lyxor SMI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Lyxor SMI etf over time.
Current vs Lagged Prices |
| Timeline |
Lyxor SMI Lagged Returns
When evaluating Lyxor SMI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Lyxor SMI etf have on its future price. Lyxor SMI 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, Lyxor SMI autocorrelation shows the relationship between Lyxor SMI etf current value and its past values and can show if there is a momentum factor associated with investing in Lyxor SMI Daily.
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.Other Information on Investing in Lyxor Etf
Lyxor SMI financial ratios help investors to determine whether Lyxor 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 Lyxor with respect to the benefits of owning Lyxor SMI security.