Predictive Discovery Book Value Per Share vs. Shares Owned By Institutions
| PDIYF Stock | 0.17 0.00 0.00% |
For Predictive Discovery profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Predictive Discovery to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Predictive Discovery Limited utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Predictive Discovery's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Predictive Discovery Limited over time as well as its relative position and ranking within its peers.
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Predictive Discovery Shares Owned By Institutions vs. Book Value Per Share Fundamental Analysis
Comparative valuation techniques use various fundamental indicators to help in determining Predictive Discovery's current stock value. Our valuation model uses many indicators to compare Predictive Discovery value to that of its competitors to determine the firm's financial worth. Predictive Discovery Limited is rated below average in book value per share category among its peers. It is considered to be number one stock in shares owned by institutions category among its peers producing about 594.60 of Shares Owned By Institutions per Book Value Per Share. The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Predictive Discovery's earnings, one of the primary drivers of an investment's value.Predictive Shares Owned By Institutions vs. Book Value Per Share
Book Value per Share (B/S) can be calculated by subtracting liabilities from assets, and then dividing it by the total number of currently outstanding shares. It indicates the level of safety associated with each common share after removing the effects of liabilities. In other words, a shareholder can use this ratio to see how much he or she can sell the stake in the company in the event of a liquidation.
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| = | 0.05 X |
The naive approach to look at Book Value per Share is to compare it to current stock price. If Book Value per Share is higher than the currently traded stock price, the company can be considered undervalued. However, investors must be aware that conventional calculation of Book Value does not include intangible assets such as goodwill, intellectual property, trademarks or brands and may not be an appropriate measure for many firms.
Shares Owned by Institutions show the percentage of the outstanding shares of stock issued by a company that is currently owned by other institutions such as asset management firms, hedge funds, or investment banks. Many investors like investing in companies with a large percentage of the firm owned by institutions because they believe that larger firms such as banks, pension funds, and mutual funds, will invest when they think that good things are going to happen.
Predictive Discovery |
| = | 27.95 % |
Since Institution investors conduct a lot of independent research they tend to be more involved and usually more knowledgeable about entities they invest as compared to amateur investors.
Predictive Shares Owned By Institutions Comparison
Predictive Discovery is currently under evaluation in shares owned by institutions category among its peers.
Predictive Profitability Driver Comparison
Profitability drivers are factors that can directly affect your investment outlook on Predictive Discovery. Investors often realize that things won't turn out the way they predict. There are maybe way too many unforeseen events and contingencies during the holding period of Predictive Discovery position where the market behavior may be hard to predict, tax policy changes, gold or oil price hikes, calamities change, and many others. The question is, are you prepared for these unexpected events? Although some of these situations are obviously beyond your control, you can still follow the important profit indicators to know where you should focus on when things like this occur. Below are some of the Predictive Discovery's important profitability drivers and their relationship over time.
Use Predictive Discovery in pair-trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Predictive Discovery position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Predictive Discovery will appreciate offsetting losses from the drop in the long position's value.Predictive Discovery Pair Trading
Predictive Discovery Limited Pair Trading Analysis
The ability to find closely correlated positions to Predictive Discovery could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Predictive Discovery when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Predictive Discovery - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Predictive Discovery Limited to buy it.
The correlation of Predictive Discovery is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Predictive Discovery moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Predictive Discovery moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Predictive Discovery can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Use Investing Themes to Complement your Predictive Discovery position
In addition to having Predictive Discovery in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did You Try This Idea?
Run Broad Municipals ETFs Thematic Idea Now
Broad Municipals ETFs
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Broad Municipals ETFs theme has 50 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Broad Municipals ETFs Theme or any other thematic opportunities.
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Other Information on Investing in Predictive Pink Sheet
To fully project Predictive Discovery's future profitability, investors should examine all historical financial statements. These statements provide investors with a comprehensive snapshot of the financial position of Predictive Discovery at a specified time, usually calculated after every quarter, six months, or one year. Three primary documents fall into the category of financial statements. These documents include Predictive Discovery's income statement, its balance sheet, and the statement of cash flows.