-
1 Comment
BOC International (China) CO., LTD is currently in a long term downtrend where the price is trading 19.5% below its 200 day moving average.
From a valuation standpoint, the stock is 97.7% more expensive than other stocks from the Financial Services sector with a price to sales ratio of 15.1.
Based on the above factors, BOC International (China) CO., LTD gets an overall score of 0/5.
ISIN | CNE100003R64 |
---|---|
Industry | Capital Markets |
Sector | Financial Services |
CurrencyCode | CNY |
Exchange | SHG |
Dividend Yield | 0.3% |
---|---|
Target Price | 8.8 |
PE Ratio | 37.55 |
Beta | -0.85 |
Market Cap | 30B |
BOC International (China) Co., Ltd., together with its subsidiaries, provides investment banking and securities services in the People's Republic of China. It offers equity and debt financing, and financial advisory services; and wealth management, brokerage, credit, and other services. The company's activities also include securities brokerage; securities investment consulting; financial consulting related to securities trading and securities investment activities; securities underwriting and sponsorship; securities proprietary business; securities asset management; securities investment fund agency sales; financing securities lending; agency sales of financial products; and public offering of securities investment. In addition, it is involved in private equity investment, alternative investment, and futures businesses. It operates approximately 110 branches. The company was founded in 2002 and is headquartered in Shanghai, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 601696.SHG using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2024