Proshares Big Data Etf Last Dividend Paid

DAT Etf  USD 45.71  0.05  0.11%   
ProShares Big Data fundamentals help investors to digest information that contributes to ProShares Big's financial success or failures. It also enables traders to predict the movement of ProShares Etf. The fundamental analysis module provides a way to measure ProShares Big's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to ProShares Big etf.
  
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ProShares Big Data ETF Last Dividend Paid Analysis

ProShares Big's Last Dividend Paid refers to dividend per share(DPS) paid to the shareholder the last time dividends were issued by a company. In its conventional sense, dividends refer to the distribution of some of a company's net earnings or capital gains decided by the board of directors.

Last Dividend

 = 

Last Profit Distribution Amount

Total Shares

More About Last Dividend Paid | All Equity Analysis
Many stable companies today pay out dividends to their shareholders in the form of the income distribution, but high-growth firms rarely offer dividends because all of their earnings are reinvested back to the business.
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Based on the recorded statements, ProShares Big Data has a Last Dividend Paid of 0.0. This is 100.0% lower than that of the ProShares family and about the same as Technology (which currently averages 0.0) category. The last dividend paid for all United States etfs is 100.0% higher than that of the company.

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Fund Asset Allocation for ProShares Big

The fund invests 99.71% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments.
Asset allocation divides ProShares Big's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.

ProShares Fundamentals

About ProShares Big Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze ProShares Big Data's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of ProShares Big using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of ProShares Big Data based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Thematic Opportunities

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether ProShares Big Data is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if ProShares Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Proshares Big Data Etf. Highlighted below are key reports to facilitate an investment decision about Proshares Big Data Etf:
Check out ProShares Big Piotroski F Score and ProShares Big Altman Z Score analysis.
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The market value of ProShares Big Data is measured differently than its book value, which is the value of ProShares that is recorded on the company's balance sheet. Investors also form their own opinion of ProShares Big's value that differs from its market value or its book value, called intrinsic value, which is ProShares Big'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 ProShares Big's market value can be influenced by many factors that don't directly affect ProShares Big'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 ProShares Big's value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares Big is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares Big'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.