BROWNS INVESTMENTS (Sri Lanka) Probability of Future Stock Price Finishing Over 6.2
| BILN0000 | LKR 6.10 0.10 1.61% |
BROWNS |
BROWNS INVESTMENTS Target Price Odds to finish over 6.2
The tendency of BROWNS Stock 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 6.20 or more in 90 days |
| 6.10 | 90 days | 6.20 | about 13.51 |
Based on a normal probability distribution, the odds of BROWNS INVESTMENTS to move over 6.20 or more in 90 days from now is about 13.51 (This BROWNS INVESTMENTS PLC probability density function shows the probability of BROWNS Stock to fall within a particular range of prices over 90 days) . Probability of BROWNS INVESTMENTS PLC price to stay between its current price of 6.10 and 6.20 at the end of the 90-day period is about 6.36 .
Assuming the 90 days trading horizon BROWNS INVESTMENTS PLC has a beta of -0.0546 suggesting as returns on the benchmark increase, returns on holding BROWNS INVESTMENTS are expected to decrease at a much lower rate. During a bear market, however, BROWNS INVESTMENTS PLC is likely to outperform the market. Additionally BROWNS INVESTMENTS PLC has an alpha of 0.3513, implying that it can generate a 0.35 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). BROWNS INVESTMENTS Price Density |
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Predictive Modules for BROWNS INVESTMENTS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BROWNS INVESTMENTS PLC. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.BROWNS INVESTMENTS Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. BROWNS INVESTMENTS is not an exception. The market had few large corrections towards the BROWNS INVESTMENTS'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 BROWNS INVESTMENTS PLC, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of BROWNS INVESTMENTS within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.35 | |
β | Beta against Dow Jones | -0.05 | |
σ | Overall volatility | 0.39 | |
Ir | Information ratio | 0.12 |
BROWNS INVESTMENTS Technical Analysis
BROWNS INVESTMENTS's future price can be derived by breaking down and analyzing its technical indicators over time. BROWNS Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of BROWNS INVESTMENTS PLC. In general, you should focus on analyzing BROWNS Stock price patterns and their correlations with different microeconomic environments and drivers.
BROWNS INVESTMENTS Predictive Forecast Models
BROWNS INVESTMENTS's time-series forecasting models is one of many BROWNS INVESTMENTS's stock 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 BROWNS INVESTMENTS'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 stock 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 BROWNS INVESTMENTS 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, BROWNS INVESTMENTS's short interest history, or implied volatility extrapolated from BROWNS INVESTMENTS options trading.
Other Information on Investing in BROWNS Stock
BROWNS INVESTMENTS financial ratios help investors to determine whether BROWNS Stock 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 BROWNS with respect to the benefits of owning BROWNS INVESTMENTS security.