Kinea High (Brazil) Probability of Future Fund Price Finishing Over 102.78
| KNHY11 Fund | BRL 99.31 1.19 1.18% |
Kinea |
Kinea High Target Price Odds to finish over 102.78
The tendency of Kinea 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 move over R$ 102.78 or more in 90 days |
| 99.31 | 90 days | 102.78 | about 1.04 |
Based on a normal probability distribution, the odds of Kinea High to move over R$ 102.78 or more in 90 days from now is about 1.04 (This Kinea High Yield probability density function shows the probability of Kinea Fund to fall within a particular range of prices over 90 days) . Probability of Kinea High Yield price to stay between its current price of R$ 99.31 and R$ 102.78 at the end of the 90-day period is about 12.57 .
Assuming the 90 days trading horizon Kinea High has a beta of 0.18. This indicates as returns on the market go up, Kinea High average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Kinea High Yield will be expected to be much smaller as well. Additionally Kinea High Yield has an alpha of 0.0085, implying that it can generate a 0.008505 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Kinea High Price Density |
| Price |
Predictive Modules for Kinea High
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kinea High Yield. 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.Kinea High Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Kinea High is not an exception. The market had few large corrections towards the Kinea High'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 Kinea High Yield, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Kinea High within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0.18 | |
σ | Overall volatility | 2.86 | |
Ir | Information ratio | 0 |
Kinea High Technical Analysis
Kinea High's future price can be derived by breaking down and analyzing its technical indicators over time. Kinea Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Kinea High Yield. In general, you should focus on analyzing Kinea Fund price patterns and their correlations with different microeconomic environments and drivers.
Kinea High Predictive Forecast Models
Kinea High's time-series forecasting models is one of many Kinea High'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 Kinea High'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 Kinea High 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, Kinea High's short interest history, or implied volatility extrapolated from Kinea High options trading.
Other Information on Investing in Kinea Fund
Kinea High financial ratios help investors to determine whether Kinea Fund 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 Kinea with respect to the benefits of owning Kinea High security.
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