Marks (Germany) Market Value
| MA6 Stock | EUR 4.60 0.10 2.13% |
| Symbol | Marks |
Marks '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 Marks' stock 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 Marks.
| 10/23/2024 |
| 12/22/2024 |
If you would invest 0.00 in Marks on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Marks and Spencer or generate 0.0% return on investment in Marks over 60 days. Marks is related to or competes with Aeon, SHOPRITE HDGS, Shoprite Holdings, Dillards, Macys, RYOHIN UNSPADR1, and PEPKOR. The company offers protein deli and dairy produce ambient and in-store bakery meals dessert and frozen and hospitality a... More
Marks 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 Marks' stock 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 Marks and Spencer upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.56 | |||
| Information Ratio | 0.0401 | |||
| Maximum Drawdown | 8.95 | |||
| Value At Risk | (2.17) | |||
| Potential Upside | 2.9 |
Marks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Marks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Marks' standard deviation. In reality, there are many statistical measures that can use Marks historical prices to predict the future Marks' volatility.| Risk Adjusted Performance | 0.0525 | |||
| Jensen Alpha | 0.0741 | |||
| Total Risk Alpha | 0.042 | |||
| Sortino Ratio | 0.042 | |||
| Treynor Ratio | 0.1419 |
Marks and Spencer Backtested Returns
At this point, Marks is somewhat reliable. Marks and Spencer has Sharpe Ratio of 0.0514, which conveys that the firm had a 0.0514% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Marks, which you can use to evaluate the volatility of the firm. Please verify Marks' Downside Deviation of 1.56, mean deviation of 1.27, and Risk Adjusted Performance of 0.0525 to check out if the risk estimate we provide is consistent with the expected return of 0.0839%. Marks has a performance score of 4 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.62, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Marks' returns are expected to increase less than the market. However, during the bear market, the loss of holding Marks is expected to be smaller as well. Marks and Spencer right now secures a risk of 1.63%. Please verify Marks and Spencer total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to decide if Marks and Spencer will be following its current price movements.
Auto-correlation | 0.12 |
Insignificant predictability
Marks and Spencer has insignificant predictability. Overlapping area represents the amount of predictability between Marks time series from 23rd of October 2024 to 22nd of November 2024 and 22nd of November 2024 to 22nd of December 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 Marks and Spencer price movement. The serial correlation of 0.12 indicates that less than 12.0% of current Marks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Marks and Spencer lagged returns against current returns
Autocorrelation, which is Marks stock'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 Marks' stock expected returns. We can calculate the autocorrelation of Marks returns to help us make a trade decision. For example, suppose you find that Marks has exhibited high autocorrelation historically, and you observe that the stock 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 |
Marks 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 Marks stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Marks stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Marks stock over time.
Current vs Lagged Prices |
| Timeline |
Marks Lagged Returns
When evaluating Marks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Marks stock have on its future price. Marks 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, Marks autocorrelation shows the relationship between Marks stock current value and its past values and can show if there is a momentum factor associated with investing in Marks and Spencer.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Marks Stock
Marks financial ratios help investors to determine whether Marks Stock 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 Marks with respect to the benefits of owning Marks security.