Naranja 2030 (Spain) Market Value
| 0P00008570 | 17.95 0.00 0.00% |
| Symbol | Naranja |
Naranja 2030 '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 Naranja 2030'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 Naranja 2030.
| 12/13/2024 |
| 03/13/2025 |
If you would invest 0.00 in Naranja 2030 on December 13, 2024 and sell it all today you would earn a total of 0.00 from holding Naranja 2030 Pp or generate 0.0% return on investment in Naranja 2030 over 90 days.
Naranja 2030 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 Naranja 2030'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 Naranja 2030 Pp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2529 | |||
| Information Ratio | 0.549 | |||
| Maximum Drawdown | 1.5 | |||
| Value At Risk | (0.28) | |||
| Potential Upside | 0.3891 |
Naranja 2030 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Naranja 2030's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Naranja 2030's standard deviation. In reality, there are many statistical measures that can use Naranja 2030 historical prices to predict the future Naranja 2030's volatility.| Risk Adjusted Performance | 0.0176 | |||
| Jensen Alpha | 2.0E-4 | |||
| Total Risk Alpha | 0.0379 | |||
| Sortino Ratio | 0.5096 | |||
| Treynor Ratio | (0.14) |
Naranja 2030 Pp Backtested Returns
At this point, Naranja 2030 is very steady. Naranja 2030 Pp has Sharpe Ratio of 0.0588, which conveys that the entity had a 0.0588 % return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Naranja 2030, which you can use to evaluate the volatility of the fund. Please verify Naranja 2030's Mean Deviation of 0.1742, downside deviation of 0.2529, and Risk Adjusted Performance of 0.0176 to check out if the risk estimate we provide is consistent with the expected return of 0.0143%. The fund secures a Beta (Market Risk) of -0.0154, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Naranja 2030 are expected to decrease at a much lower rate. During the bear market, Naranja 2030 is likely to outperform the market.
Auto-correlation | -0.24 |
Weak reverse predictability
Naranja 2030 Pp has weak reverse predictability. Overlapping area represents the amount of predictability between Naranja 2030 time series from 13th of December 2024 to 27th of January 2025 and 27th of January 2025 to 13th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Naranja 2030 Pp price movement. The serial correlation of -0.24 indicates that over 24.0% of current Naranja 2030 price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Naranja 2030 Pp lagged returns against current returns
Autocorrelation, which is Naranja 2030 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 Naranja 2030's fund expected returns. We can calculate the autocorrelation of Naranja 2030 returns to help us make a trade decision. For example, suppose you find that Naranja 2030 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 |
Naranja 2030 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 Naranja 2030 fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Naranja 2030 fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Naranja 2030 fund over time.
Current vs Lagged Prices |
| Timeline |
Naranja 2030 Lagged Returns
When evaluating Naranja 2030's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Naranja 2030 fund have on its future price. Naranja 2030 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, Naranja 2030 autocorrelation shows the relationship between Naranja 2030 fund current value and its past values and can show if there is a momentum factor associated with investing in Naranja 2030 Pp.
Regressed Prices |
| Timeline |
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