Phd Etf Chance of Future Etf Price Finishing Over 10.12
| PHD Etf | USD 10.12 0.00 0.00% |
PHD Target Price Odds to finish over 10.12
The tendency of PHD Etf 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 |
| 10.12 | 90 days | 10.12 | near 1 |
Based on a normal probability distribution, the odds of PHD to move above the current price in 90 days from now is near 1 (This PHD probability density function shows the probability of PHD Etf to fall within a particular range of prices over 90 days) .
Considering the 90-day investment horizon PHD has a beta of -0.031 indicating as returns on the benchmark increase, returns on holding PHD are expected to decrease at a much lower rate. During a bear market, however, PHD is likely to outperform the market. Additionally PHD has an alpha of 0.0398, implying that it can generate a 0.0398 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). PHD Price Density |
| Price |
Predictive Modules for PHD
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PHD. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.PHD Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. PHD is not an exception. The market had few large corrections towards the PHD'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 PHD, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of PHD within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | -0.03 | |
σ | Overall volatility | 0.08 | |
Ir | Information ratio | -0.18 |
PHD Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of PHD for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for PHD can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| PHD is not yet fully synchronised with the market data | |
| PHD has 60 M in debt with debt to equity (D/E) ratio of 0.49, which is OK given its current industry classification. PHD has a current ratio of 0.05, suggesting that it has not enough short term capital to pay financial commitments when the payables are due. Debt can assist PHD until it has trouble settling it off, either with new capital or with free cash flow. So, PHD's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like PHD sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for PHD to invest in growth at high rates of return. When we think about PHD's use of debt, we should always consider it together with cash and equity. | |
| Latest headline from MacroaxisInsider: Acquisition by Bovarnick Terry Fires of 1253 shares of Credit Suisse at 3.59 subject to Rule 16b-3 | |
| The fund maintains all of the assets in different exotic instruments |
PHD 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 PHD Etf often depends not only on the future outlook of the current and potential PHD'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. PHD's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 12.4 M | |
| Cash And Short Term Investments | 159 K |
PHD Technical Analysis
PHD's future price can be derived by breaking down and analyzing its technical indicators over time. PHD Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of PHD. In general, you should focus on analyzing PHD Etf price patterns and their correlations with different microeconomic environments and drivers.
PHD Predictive Forecast Models
PHD's time-series forecasting models is one of many PHD's etf 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 PHD'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 etf market movement and maximize returns from investment trading.
Things to note about PHD
Checking the ongoing alerts about PHD for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for PHD help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| PHD is not yet fully synchronised with the market data | |
| PHD has 60 M in debt with debt to equity (D/E) ratio of 0.49, which is OK given its current industry classification. PHD has a current ratio of 0.05, suggesting that it has not enough short term capital to pay financial commitments when the payables are due. Debt can assist PHD until it has trouble settling it off, either with new capital or with free cash flow. So, PHD's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like PHD sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for PHD to invest in growth at high rates of return. When we think about PHD's use of debt, we should always consider it together with cash and equity. | |
| Latest headline from MacroaxisInsider: Acquisition by Bovarnick Terry Fires of 1253 shares of Credit Suisse at 3.59 subject to Rule 16b-3 | |
| The fund maintains all of the assets in different exotic instruments |
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in rate. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
The market value of PHD is measured differently than its book value, which is the value of PHD that is recorded on the company's balance sheet. Investors also form their own opinion of PHD's value that differs from its market value or its book value, called intrinsic value, which is PHD's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because PHD's market value can be influenced by many factors that don't directly affect PHD's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between PHD's value and its price as these two are different measures arrived at by different means. Investors typically determine if PHD is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PHD's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.