Mediolanum Renta (Spain) Market Value
| 0P00000W41 | 2,600 0.00 0.00% |
| Symbol | Mediolanum |
Mediolanum Renta '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 Mediolanum Renta's fund 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 Mediolanum Renta.
| 06/20/2023 |
| 12/11/2024 |
If you would invest 0.00 in Mediolanum Renta on June 20, 2023 and sell it all today you would earn a total of 0.00 from holding Mediolanum Renta Variable or generate 0.0% return on investment in Mediolanum Renta over 540 days.
Mediolanum Renta 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 Mediolanum Renta's fund 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 Mediolanum Renta Variable upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7104 | |||
| Information Ratio | 0.026 | |||
| Maximum Drawdown | 4.16 | |||
| Value At Risk | (0.81) | |||
| Potential Upside | 1.08 |
Mediolanum Renta Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mediolanum Renta's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mediolanum Renta's standard deviation. In reality, there are many statistical measures that can use Mediolanum Renta historical prices to predict the future Mediolanum Renta's volatility.| Risk Adjusted Performance | 0.1491 | |||
| Jensen Alpha | 0.1232 | |||
| Total Risk Alpha | 0.0234 | |||
| Sortino Ratio | 0.0251 | |||
| Treynor Ratio | 1.66 |
Mediolanum Renta Variable Backtested Returns
At this point, Mediolanum Renta is very steady. Mediolanum Renta Variable has Sharpe Ratio of 0.21, which conveys that the entity had a 0.21% return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Mediolanum Renta, which you can use to evaluate the volatility of the fund. Please verify Mediolanum Renta's Mean Deviation of 0.4951, downside deviation of 0.7104, and Risk Adjusted Performance of 0.1491 to check out if the risk estimate we provide is consistent with the expected return of 0.14%. The fund secures a Beta (Market Risk) of 0.0795, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Mediolanum Renta's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mediolanum Renta is expected to be smaller as well.
Auto-correlation | 0.65 |
Good predictability
Mediolanum Renta Variable has good predictability. Overlapping area represents the amount of predictability between Mediolanum Renta time series from 20th of June 2023 to 16th of March 2024 and 16th of March 2024 to 11th 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 Mediolanum Renta Variable price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current Mediolanum Renta price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 4306.94 |
Mediolanum Renta Variable lagged returns against current returns
Autocorrelation, which is Mediolanum Renta fund'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 Mediolanum Renta's fund expected returns. We can calculate the autocorrelation of Mediolanum Renta returns to help us make a trade decision. For example, suppose you find that Mediolanum Renta has exhibited high autocorrelation historically, and you observe that the fund 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 |
Mediolanum Renta 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 Mediolanum Renta fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mediolanum Renta fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mediolanum Renta fund over time.
Current vs Lagged Prices |
| Timeline |
Mediolanum Renta Lagged Returns
When evaluating Mediolanum Renta's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mediolanum Renta fund have on its future price. Mediolanum Renta 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, Mediolanum Renta autocorrelation shows the relationship between Mediolanum Renta fund current value and its past values and can show if there is a momentum factor associated with investing in Mediolanum Renta Variable.
Regressed Prices |
| Timeline |
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