中国证券分析师盈利预测研究数据
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研报,一般是指券商研报,通常也叫“卖方研报”,是证券公司分析师所写的研究报告,可以用于投资活动的参考。一份完整的券商研报,一般会以事实、数据、调研信息等作为依据,对具体证券的价值进行综合分析,总结出关于上市公司、行业或宏观政策的看法,并对相关股票进行投资评级。券商研究所是券商的门面,是品牌的象征,虽然不直接产生利润,但是它的强弱将会直接影响券商经纪业务、投行业务、直投子公司等业务的发展。通过高质量的研报吸引公募/私募基金公司来开户交易进而获得经纪业务收入。研报根据研究对象的不同,可以分为宏观经济、投资策略、行业分析、公司研究、债券研究、期货研究等。 CnOpenData整理了中国证券分析师盈利预测研究数据,涵盖股票代码、企业简称、研报数据量、机构投资评级(近六个月)、2022每股收益、2023预测每股收益、2024预测每股收益、2025预测每股收益等多个字段。
Research reports, typically referring to securities company research reports and commonly termed "sell-side research reports", are research documents prepared by analysts employed at securities firms, serving as references for investment decision-making. A complete securities company research report is typically grounded in facts, data, survey information and other credible sources, conducts a comprehensive analysis of the value of specific securities, summarizes insights on listed companies, industries or macroeconomic policies, and assigns investment ratings to relevant stocks. Securities company research institutes act as the public face and brand symbol of their parent securities firms. While they do not directly generate profits, their operational strength will directly affect the development of the parent firm's core businesses including brokerage services, investment banking, direct investment subsidiaries and other related operations. High-quality research reports can attract public offering funds and private offering funds to open trading accounts and conduct transactions, thereby enabling the parent firm to generate brokerage revenue. Research reports can be classified into multiple categories based on their research subjects, including macroeconomic research, investment strategy research, industry analysis, company research, bond research, futures research and others. CnOpenData has compiled research data on earnings forecasts by Chinese securities analysts, which covers multiple fields including stock code, enterprise abbreviation, volume of research reports, institutional investment ratings (past six months), 2022 earnings per share, 2023 forecasted earnings per share, 2024 forecasted earnings per share and 2025 forecasted earnings per share.
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CnOpenData
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集整理了2023年9月至2024年6月期间中国证券分析师的盈利预测研究数据,涵盖股票代码、企业简称、研报数量、近六个月机构投资评级(如买入、增持等)以及2022年实际每股收益和2023至2025年预测每股收益等关键字段。其特点在于提供了截面时间点的分析师评级和收益预测信息,适用于研究市场预期和投资决策分析,数据更新频率为年度。
以上内容由遇见数据集搜集并总结生成



