Multi Units (France) Market Value
| INR Etf | EUR 31.28 0.15 0.48% |
| 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.
| 01/09/2023 |
| 11/29/2024 |
If you would invest 0.00 in Multi Units on January 9, 2023 and sell it all today you would earn a total of 0.00 from holding Multi Units France or generate 0.0% return on investment in Multi Units over 690 days. Multi Units is related to or competes with Lyxor Commodities, Manitou BF, Ossiam Minimum, Ekinops SA, Orapi SA, and Memscap Regpt. The Lyxor MSCI India UCITS ETF is a UCITS compliant exchange traded fund that aims to track the benchmark index MSCI Eme... 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 France upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 3.68 | |||
| Value At Risk | (1.40) | |||
| Potential Upside | 1.45 |
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 | (0.03) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (0.81) |
Multi Units France Backtested Returns
Multi Units France has Sharpe Ratio of -0.0476, which conveys that the entity had a -0.0476% return per unit of risk over the last 3 months. Multi Units exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Multi Units' Standard Deviation of 0.9006, mean deviation of 0.6912, and Risk Adjusted Performance of (0.03) to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of 0.0552, 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 | 0.74 |
Good predictability
Multi Units France has good predictability. Overlapping area represents the amount of predictability between Multi Units time series from 9th of January 2023 to 20th of December 2023 and 20th of December 2023 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 Multi Units France price movement. The serial correlation of 0.74 indicates that around 74.0% of current Multi Units price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 3.27 |
Multi Units France 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 France.
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 Multi Etf
Multi Units financial ratios help investors to determine whether Multi 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 Multi with respect to the benefits of owning Multi Units security.