Open House Group Stock Probability of Future Pink Sheet Price Finishing Under 37.61
| OPPPF Stock | 37.85 0.00 0.00% |
Open |
Open House Target Price Odds to finish below 37.61
The tendency of Open Pink Sheet 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 drop to 37.61 or more in 90 days |
| 37.85 | 90 days | 37.61 | about 30.93 |
Based on a normal probability distribution, the odds of Open House to drop to 37.61 or more in 90 days from now is about 30.93 (This Open House Group probability density function shows the probability of Open Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Open House Group price to stay between 37.61 and its current price of 37.85 at the end of the 90-day period is about 38.26 .
Assuming the 90 days horizon Open House Group has a beta of -0.0232. This indicates as returns on the benchmark increase, returns on holding Open House are expected to decrease at a much lower rate. During a bear market, however, Open House Group is likely to outperform the market. Additionally Open House Group has an alpha of 0.015, implying that it can generate a 0.015 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Open House Price Density |
| Price |
Predictive Modules for Open House
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Open House Group. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Open House Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Open House is not an exception. The market had few large corrections towards the Open House'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 Open House Group, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Open House within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | -0.02 | |
σ | Overall volatility | 0.24 | |
Ir | Information ratio | -0.56 |
Open House Technical Analysis
Open House's future price can be derived by breaking down and analyzing its technical indicators over time. Open Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Open House Group. In general, you should focus on analyzing Open Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Open House Predictive Forecast Models
Open House's time-series forecasting models is one of many Open House's pink sheet 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 Open House'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 pink sheet 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 Open House 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, Open House's short interest history, or implied volatility extrapolated from Open House options trading.