Prime Office (Thailand) Probability of Future Fund Price Finishing Over 6.30
POPF Fund | THB 6.30 0.05 0.80% |
Prime |
Prime Office Target Price Odds to finish over 6.30
The tendency of Prime 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 above the current price in 90 days |
6.30 | 90 days | 6.30 | about 11.51 |
Based on a normal probability distribution, the odds of Prime Office to move above the current price in 90 days from now is about 11.51 (This Prime Office Leasehold probability density function shows the probability of Prime Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Prime Office has a beta of 0.37 indicating as returns on the market go up, Prime Office average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Prime Office Leasehold will be expected to be much smaller as well. Additionally Prime Office Leasehold has an alpha of 0.0664, implying that it can generate a 0.0664 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Prime Office Price Density |
Price |
Predictive Modules for Prime Office
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Prime Office Leasehold. 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.Prime Office Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Prime Office is not an exception. The market had few large corrections towards the Prime Office'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 Prime Office Leasehold, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Prime Office within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.07 | |
β | Beta against Dow Jones | 0.37 | |
σ | Overall volatility | 0.15 | |
Ir | Information ratio | 0.01 |
Prime Office Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Prime Fund often depends not only on the future outlook of the current and potential Prime Office's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Prime Office's indicators that are reflective of the short sentiment are summarized in the table below.
Dividend Yield | 0.0906 | |
Dividends Paid | 506.2 M | |
Shares Float | 271.5 M |
Prime Office Technical Analysis
Prime Office's future price can be derived by breaking down and analyzing its technical indicators over time. Prime Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Prime Office Leasehold. In general, you should focus on analyzing Prime Fund price patterns and their correlations with different microeconomic environments and drivers.
Prime Office Predictive Forecast Models
Prime Office's time-series forecasting models is one of many Prime Office'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 Prime Office'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 Prime Office 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, Prime Office's short interest history, or implied volatility extrapolated from Prime Office options trading.
Other Information on Investing in Prime Fund
Prime Office financial ratios help investors to determine whether Prime 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 Prime with respect to the benefits of owning Prime Office security.
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