Power Assets Holdings Stock Probability of Future Pink Sheet Price Finishing Over 5.37
| HGKGY Stock | USD 5.78 0.14 2.36% |
Power |
Power Assets Target Price Odds to finish over 5.37
The tendency of Power 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 stay above $ 5.37 in 90 days |
| 5.78 | 90 days | 5.37 | close to 99 |
Based on a normal probability distribution, the odds of Power Assets to stay above $ 5.37 in 90 days from now is close to 99 (This Power Assets Holdings probability density function shows the probability of Power Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Power Assets Holdings price to stay between $ 5.37 and its current price of $5.78 at the end of the 90-day period is about 41.89 .
Assuming the 90 days horizon Power Assets Holdings has a beta of -0.2. This usually indicates as returns on the benchmark increase, returns on holding Power Assets are expected to decrease at a much lower rate. During a bear market, however, Power Assets Holdings is likely to outperform the market. Additionally Power Assets Holdings has an alpha of 0.0402, implying that it can generate a 0.0402 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta). Power Assets Price Density |
| Price |
Predictive Modules for Power Assets
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Power Assets Holdings. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Power Assets' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Power Assets Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Power Assets is not an exception. The market had few large corrections towards the Power Assets' 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 Power Assets Holdings, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Power Assets within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | 0.04 | |
β | Beta against NYSE Composite | -0.2 | |
σ | Overall volatility | 0.15 | |
Ir | Information ratio | -0.02 |
Power Assets 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 Power Pink Sheet often depends not only on the future outlook of the current and potential Power Assets' 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. Power Assets' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2.1 B | |
| Cash And Short Term Investments | 4.6 B |
Power Assets Technical Analysis
Power Assets' future price can be derived by breaking down and analyzing its technical indicators over time. Power Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Power Assets Holdings. In general, you should focus on analyzing Power Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Power Assets Predictive Forecast Models
Power Assets' time-series forecasting models is one of many Power Assets' 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 Power Assets' 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 Power Assets 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, Power Assets' short interest history, or implied volatility extrapolated from Power Assets options trading.
Check out Power Assets Backtesting, Power Assets Valuation, Power Assets Correlation, Power Assets Hype Analysis, Power Assets Volatility, Power Assets History as well as Power Assets Performance. Note that the Power Assets Holdings information on this page should be used as a complementary analysis to other Power Assets' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Complementary Tools for Power Pink Sheet analysis
When running Power Assets' price analysis, check to measure Power Assets' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Power Assets is operating at the current time. Most of Power Assets' value examination focuses on studying past and present price action to predict the probability of Power Assets' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Power Assets' price. Additionally, you may evaluate how the addition of Power Assets to your portfolios can decrease your overall portfolio volatility.
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