Lyxor 1 (Germany) Market Value
| E908 Etf | EUR 23.74 0.35 1.50% |
| Symbol | Lyxor |
Lyxor 1 '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 1'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 1.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Lyxor 1 on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Lyxor 1 or generate 0.0% return on investment in Lyxor 1 over 30 days. Lyxor 1 is related to or competes with UBS Fund, Xtrackers, Xtrackers Nikkei, IShares VII, SPDR Gold, Vanguard Funds, and IShares Nikkei. COMSTAGE 1 is traded on Frankfurt Stock Exchange in Germany. More
Lyxor 1 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 1'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 1 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 3.9 | |||
| Value At Risk | (1.54) | |||
| Potential Upside | 1.45 |
Lyxor 1 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lyxor 1's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lyxor 1's standard deviation. In reality, there are many statistical measures that can use Lyxor 1 historical prices to predict the future Lyxor 1's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | 0.1599 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lyxor 1'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.
Lyxor 1 Backtested Returns
Lyxor 1 has Sharpe Ratio of -0.0592, which conveys that the entity had a -0.0592% return per unit of risk over the last 3 months. Lyxor 1 exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Lyxor 1's Standard Deviation of 0.8313, risk adjusted performance of (0.01), and Mean Deviation of 0.6469 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of -0.19, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Lyxor 1 are expected to decrease at a much lower rate. During the bear market, Lyxor 1 is likely to outperform the market.
Auto-correlation | 0.72 |
Good predictability
Lyxor 1 has good predictability. Overlapping area represents the amount of predictability between Lyxor 1 time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Lyxor 1 price movement. The serial correlation of 0.72 indicates that around 72.0% of current Lyxor 1 price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.72 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.28 |
Lyxor 1 lagged returns against current returns
Autocorrelation, which is Lyxor 1 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 1's etf expected returns. We can calculate the autocorrelation of Lyxor 1 returns to help us make a trade decision. For example, suppose you find that Lyxor 1 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 1 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 1 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Lyxor 1 etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Lyxor 1 etf over time.
Current vs Lagged Prices |
| Timeline |
Lyxor 1 Lagged Returns
When evaluating Lyxor 1's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Lyxor 1 etf have on its future price. Lyxor 1 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 1 autocorrelation shows the relationship between Lyxor 1 etf current value and its past values and can show if there is a momentum factor associated with investing in Lyxor 1 .
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 Lyxor 1 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, Lyxor 1's short interest history, or implied volatility extrapolated from Lyxor 1 options trading.
Pair Trading with Lyxor 1
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Lyxor 1 position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Lyxor 1 will appreciate offsetting losses from the drop in the long position's value.Moving together with Lyxor Etf
| 0.66 | XDJP | Xtrackers Nikkei 225 | PairCorr |
| 0.63 | SXRZ | iShares VII PLC | PairCorr |
The ability to find closely correlated positions to Lyxor 1 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Lyxor 1 when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Lyxor 1 - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Lyxor 1 to buy it.
The correlation of Lyxor 1 is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Lyxor 1 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Lyxor 1 moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Lyxor 1 can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Lyxor 1 Correlation, Lyxor 1 Volatility and Lyxor 1 Alpha and Beta module to complement your research on Lyxor 1. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Lyxor 1 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.