Naranja Renta (Spain) Probability of Future Fund Price Finishing Over 13.56
| 0P0000857L | 13.59 0.00 0.00% |
Naranja |
Naranja Renta Target Price Odds to finish over 13.56
The tendency of Naranja Fund price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay above 13.56 in 90 days |
| 13.59 | 90 days | 13.56 | about 20.33 |
Based on a normal probability distribution, the odds of Naranja Renta to stay above 13.56 in 90 days from now is about 20.33 (This Naranja Renta Fija probability density function shows the probability of Naranja Fund to fall within a particular range of prices over 90 days) . Probability of Naranja Renta Fija price to stay between 13.56 and its current price of 13.59 at the end of the 90-day period is about 13.01 .
Assuming the 90 days trading horizon Naranja Renta has a beta of 0.003. This suggests as returns on the market go up, Naranja Renta average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Naranja Renta Fija will be expected to be much smaller as well. Additionally Naranja Renta Fija has an alpha of 0.0087, implying that it can generate a 0.008745 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Naranja Renta Price Density |
| Price |
Predictive Modules for Naranja Renta
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Naranja Renta Fija. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Naranja Renta Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Naranja Renta is not an exception. The market had few large corrections towards the Naranja Renta's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Naranja Renta Fija, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Naranja Renta within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0 | |
σ | Overall volatility | 0.05 | |
Ir | Information ratio | -1.86 |
Naranja Renta Technical Analysis
Naranja Renta's future price can be derived by breaking down and analyzing its technical indicators over time. Naranja Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Naranja Renta Fija. In general, you should focus on analyzing Naranja Fund price patterns and their correlations with different microeconomic environments and drivers.
Naranja Renta Predictive Forecast Models
Naranja Renta's time-series forecasting models is one of many Naranja Renta's fund analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Naranja Renta's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the fund market movement and maximize returns from investment trading.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Naranja Renta in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Naranja Renta's short interest history, or implied volatility extrapolated from Naranja Renta options trading.
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