In today’s briefing:
- HK Connect: Mar ’22 Inclusion Post-Event Analysis
- Northbound Flows Monthly (April): Inflows into Industrials Offset by Outflows from Financials
- Hong Kong Connect Flows Monthly: China Mobile, SMIC, PetroChina, Sensetime, CNOOC, CCB, Tencent
- Screening for GEMs: May 2023
HK Connect: Mar ’22 Inclusion Post-Event Analysis
- After one month from the March batch of Hong Kong Connect inclusion, we provide an analysis on the stock inclusion for 24 stocks.
- We analysed the inclusion by performance post announcement, performance post inclusion, inflows and analyst coverage.
- This time we observe outperformance when inclusion took place but not between announcement and inclusion. Southbound trade account for a significant portion of the trading volumes, still.
Northbound Flows Monthly (April): Inflows into Industrials Offset by Outflows from Financials
- We analyze the monthly Shanghai/Shenzhen northbound Connect flows with our data engine.
- Inflows into industrials, energy, and utilities were offset by outflows from financials, and information technology.
- We highlight flows for COSCO Shipping, Shenzhen Inovance, Zhejiang Jingsheng, Ningbo Tuopu, Wuliangye, Ping An Insurance, Moutai, East Money, CMB, Midea.
Hong Kong Connect Flows Monthly: China Mobile, SMIC, PetroChina, Sensetime, CNOOC, CCB, Tencent
- We analyze the monthly Hong Kong Connect flows with our data engine.
- We tabulate the top stocks by inflows, outlfows, and holding by mainland investors.
- We analyzed the Hong Kong Connect Scheme for April and highlight flows for China Mobile, SMIC, PetroChina, Sensetime, CNOOC, CCB, Tencent, HKEx.
Screening for GEMs: May 2023
- An overview (and output) of our machine learning-driven GEM screening model, which seeks to find the best medium-term long ideas within the top 100 stocks in the MSCI GEM Index.
- The model is based on 1) a quantitative multifactor screening model, enhanced by two AI Technology-based approaches; 2) a Deep Neural Network model, and 3) a Recurrent Neural Network model.
- Developed over roughly 4 years and implemented in its current state for over 3 years, the model has a solid real-world alpha-generating performance track record, discussed in detail below.
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