券商注意!声誉管理将迎新规:严惩贿赂,“优待”赔付
2 1 Shi Ji Jing Ji Bao Dao·2025-07-09 15:19

Core Viewpoint - The China Securities Association is seeking opinions on the revised "Securities Industry Professional Reputation Information Management Measures," which includes significant changes regarding bribery and advance compensation for investors [1][2]. Group 1: Key Adjustments in the Revised Measures - The revised measures now include provisions for recording bribery and other improper conduct that interferes with the regulatory enforcement of the China Securities Regulatory Commission (CSRC) [2][10]. - A new provision grants "preferential treatment" for firms that proactively engage in advance compensation to mitigate or eliminate investor losses, allowing them to avoid having related penalty information recorded in the professional reputation information database [2][4]. - The source of information for the reputation database has shifted from the CSRC's integrity archive to self-reporting by members, which has a limited impact on overall operations [2][12]. Group 2: Regulatory Trends and Implications - The inclusion of bribery in the measures indicates that any form of bribery could negatively impact a firm's professional reputation, emphasizing the need for compliance [2][10]. - The encouragement of advance compensation reflects a regulatory trend aimed at promoting proactive measures by firms to address investor grievances, which may become a more favorable option for firms with sufficient capital [2][8]. - Recent revisions in other regulatory documents also highlight the importance of advance compensation, suggesting that firms engaging in such practices will receive benefits in evaluations and assessments [5][7]. Group 3: Additional Adjustments with Limited Impact - The revised measures no longer differentiate between "public information" and "limited public information," simplifying the classification of professional reputation information [12][13]. - The adjustments also enhance the autonomy of firms in reporting their integrity information, potentially increasing the volume of self-reported data [12][13].