# Lyxor 1 (Germany) Market Value

E908 Etf | EUR 24.77 0.06 0.24% |

**24.77**as of the 13th of April 2024. This is a -0.24 percent decrease since the beginning of the trading day. The etf's lowest day price was

**24.7**. With this module, you can estimate the performance of a buy and hold strategy of Lyxor 1 and determine expected loss or profit from investing in Lyxor 1 over a given investment horizon. Check out Lyxor 1 Correlation, Lyxor 1 Volatility and Lyxor 1 Alpha and Beta module to complement your research on Lyxor 1.

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.

02/13/2024 |
| 04/13/2024 |

If you would invest

**0.00**in Lyxor 1 on**February 13, 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**60**days. Lyxor 1 is related to or competes with Lyxor BofAML. 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.

Downside Deviation | 0.7991 | |||

Information Ratio | (0.05) | |||

Maximum Drawdown | 3.58 | |||

Value At Risk | (1.20) | |||

Potential Upside | 1.37 |

## 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 | 0.0377 | |||

Jensen Alpha | 0.0483 | |||

Total Risk Alpha | (0.05) | |||

Sortino Ratio | (0.04) | |||

Treynor Ratio | (0.16) |

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

We consider Lyxor 1 very steady. Lyxor 1 has Sharpe Ratio of 0.0738, which conveys that the entity had a 0.0738% return per unit of risk over the last 3 months. We have found thirty technical indicators for Lyxor 1, which you can use to evaluate the volatility of the etf. Please verify Lyxor 1's Risk Adjusted Performance of 0.0377, mean deviation of 0.5839, and Downside Deviation of 0.7991 to check out if the risk estimate we provide is consistent with the expected return of 0.0556%. The etf secures a Beta (Market Risk) of -0.21, 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 | -0.51 |

### Good reverse predictability

Lyxor 1 has good reverse predictability. Overlapping area represents the amount of predictability between Lyxor 1 time series from 13th of February 2024 to 14th of March 2024 and 14th of March 2024 to 13th 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

**-0.51**indicates that about 51.0% of current Lyxor 1 price fluctuation can be explain by its past prices.Correlation Coefficient | -0.51 | |

Spearman Rank Test | -0.35 | |

Residual Average | 0.0 | |

Price Variance | 0.04 |

## 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 |

## 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

0.69 | UIM5 | UBS Fund Solutions | PairCorr |

0.8 | XDJP | Xtrackers Nikkei 225 | PairCorr |

0.79 | SXRZ | iShares VII PLC | PairCorr |

### Moving against Lyxor Etf

0.68 | DBPD | Xtrackers ShortDAX | PairCorr |

0.54 | XJSE | Xtrackers II | 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 Transaction History module to view history of all your transactions and understand their impact on performance.

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.