Multi Units (France) Market Value
| ACWI Etf | EUR 426.04 3.46 0.82% |
| Symbol | Multi |
Multi Units '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 Multi Units' 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 Multi Units.
| 04/04/2024 |
| 05/04/2024 |
If you would invest 0.00 in Multi Units on April 4, 2024 and sell it all today you would earn a total of 0.00 from holding Multi Units Luxembourg or generate 0.0% return on investment in Multi Units over 30 days. Multi Units is related to or competes with Lyxor UCITS, Amundi Index, Multi Units, and Multi Units. The objective of the Sub-Fund is to track both the upward and the downward evolution of the Index More
Multi Units 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 Multi Units' 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 Multi Units Luxembourg upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6135 | |||
| Information Ratio | 0.0426 | |||
| Maximum Drawdown | 3.07 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.43 |
Multi Units Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Multi Units' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Multi Units' standard deviation. In reality, there are many statistical measures that can use Multi Units historical prices to predict the future Multi Units' volatility.| Risk Adjusted Performance | 0.0825 | |||
| Jensen Alpha | 0.0656 | |||
| Total Risk Alpha | 0.0274 | |||
| Sortino Ratio | 0.0447 | |||
| Treynor Ratio | 0.4704 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Multi Units' 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.
Multi Units Luxembourg Backtested Returns
We consider Multi Units very steady. Multi Units Luxembourg 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 thirty technical indicators for Multi Units, which you can use to evaluate the volatility of the etf. Please verify Multi Units' Risk Adjusted Performance of 0.0825, mean deviation of 0.4754, and Downside Deviation of 0.6135 to check out if the risk estimate we provide is consistent with the expected return of 0.0746%. The etf secures a Beta (Market Risk) of 0.15, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Multi Units' returns are expected to increase less than the market. However, during the bear market, the loss of holding Multi Units is expected to be smaller as well.
Auto-correlation | -0.28 |
Weak reverse predictability
Multi Units Luxembourg has weak reverse predictability. Overlapping area represents the amount of predictability between Multi Units time series from 4th of April 2024 to 19th of April 2024 and 19th of April 2024 to 4th of May 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 Multi Units Luxembourg price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Multi Units price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 10.8 |
Multi Units Luxembourg lagged returns against current returns
Autocorrelation, which is Multi Units 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 Multi Units' etf expected returns. We can calculate the autocorrelation of Multi Units returns to help us make a trade decision. For example, suppose you find that Multi Units 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 |
Multi Units 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 Multi Units etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Multi Units etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Multi Units etf over time.
Current vs Lagged Prices |
| Timeline |
Multi Units Lagged Returns
When evaluating Multi Units' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Multi Units etf have on its future price. Multi Units 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, Multi Units autocorrelation shows the relationship between Multi Units etf current value and its past values and can show if there is a momentum factor associated with investing in Multi Units Luxembourg.
Regressed Prices |
| Timeline |
Pair Trading with Multi Units
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 Multi Units 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 Multi Units will appreciate offsetting losses from the drop in the long position's value.Moving together with Multi Etf
| 0.91 | JPNH | Lyxor UCITS Japan | PairCorr |
| 0.82 | JPN | Lyxor UCITS Japan | PairCorr |
| 0.92 | MSE | Lyxor UCITS Stoxx | PairCorr |
| 0.87 | CAC | Lyxor UCITS CAC | PairCorr |
Moving against Multi Etf
| 0.73 | FOO | Lyxor Index Fund | PairCorr |
The ability to find closely correlated positions to Multi Units could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Multi Units 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 Multi Units - 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 Multi Units Luxembourg to buy it.
The correlation of Multi Units 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 Multi Units moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Multi Units Luxembourg 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 Multi Units 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 Multi Units Correlation, Multi Units Volatility and Multi Units Alpha and Beta module to complement your research on Multi Units. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Multi Units 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.