China Longyuan Power Stock Shares Owned By Institutions

CLPXFDelisted Stock  USD 0.98  0.00  0.00%   
China Longyuan Power fundamentals help investors to digest information that contributes to China Longyuan's financial success or failures. It also enables traders to predict the movement of China Pink Sheet. The fundamental analysis module provides a way to measure China Longyuan'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 China Longyuan pink sheet.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

China Longyuan Power Company Shares Owned By Institutions Analysis

China Longyuan's 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.

Shares Held by Institutions

 = 

Funds and Banks

+

Firms

More About Shares Owned By Institutions | All Equity Analysis

Current China Longyuan Shares Owned By Institutions

    
  56.46 %  
Most of China Longyuan's fundamental indicators, such as Shares Owned By Institutions, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, China Longyuan Power is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
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.
Competition

Based on the latest financial disclosure, 56% of China Longyuan Power are shares owned by institutions. This is 82.25% higher than that of the Utilities sector and significantly higher than that of the Utilities—Renewable industry. The shares owned by institutions for all United States stocks is 44.0% lower than that of the firm.

China Shares Owned By Institutions Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses China Longyuan's direct or indirect competition against its Shares Owned By Institutions to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of China Longyuan could also be used in its relative valuation, which is a method of valuing China Longyuan by comparing valuation metrics of similar companies.
China Longyuan is currently under evaluation in shares owned by institutions category among its peers.

China Fundamentals

About China Longyuan Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze China Longyuan Power's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of China Longyuan using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of China Longyuan Power based on its fundamental data. In general, a quantitative approach, as applied to this company, 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.

Currently Active Assets on Macroaxis

Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in interest.
You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Consideration for investing in China Pink Sheet

If you are still planning to invest in China Longyuan Power check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the China Longyuan's history and understand the potential risks before investing.
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm