维持推荐小盘成长，风格连续择优正确

Summary of Key Points from the Conference Call Industry or Company Involved - The conference call primarily discusses the investment strategies and market outlook of CICC (China International Capital Corporation) focusing on small-cap growth stocks and various asset classes. Core Insights and Arguments - CICC maintains a positive outlook on small-cap growth style for September, despite a slight decline in overall indicators. Market conditions, sentiment, and macroeconomic factors support the continued superiority of small-cap growth in the coming month [1][2] - In asset allocation, CICC is optimistic about domestic equity assets, neutral on commodity assets, and cautious regarding bond assets. The macro expectation gap indicates a bullish stance on stocks, particularly small-cap and dividend stocks, while being bearish on growth stocks [3][4] - The industry rotation model for September recommends sectors such as comprehensive finance, media, computer, banking, basic chemicals, and real estate, based on price and volume information. The previous month's recommended sectors achieved a 2.4% increase [5] - The "growth trend resonance" strategy performed best in August with a return of 18.1%, significantly outperforming the mixed equity fund index for six consecutive months [7] - Year-to-date (YTD) performance of CICC's various strategies is strong, with an overall return of 43%, surpassing the Tian Gu Hang operating index by 15 percentage points. The XG Boost growth selection strategy has a YTD return of 47.1% [8] Other Important but Possibly Overlooked Content - The small-cap strategy underperformed expectations due to extreme market conditions led by large-cap stocks, which created a positive feedback loop for index growth. This indicates a potential phase of inefficacy for the strategy [6] - The active quantitative stock selection strategies include stable growth and small-cap exploration, with the latter showing mixed results in August. Despite positive absolute returns, small-cap exploration strategies lagged behind other indices [8] - CICC's quantitative team has developed various models based on advanced techniques like reinforcement learning and deep learning, with notable performance in stock selection strategies. The Attention GRU model, for instance, has shown promising results in both the market and specific indices [10]