Daily BriefsFinancials

Daily Brief Financials: Samsung Life Insurance, Shengjing Bank Co Ltd H, Kotak Mahindra Bank and more

In today’s briefing:

  • Top 10 Korean Stock Picks and Key Catalysts Bi-Weekly (12 to 26 September 2025)
  • Shengjing Bank (2066 HK): Revised and Final Offer Remains Light
  • Kotak Mahindra Bank (KMB IN) Vs. Bajaj Finserv (BJFIN IN): Stat-Arb Pair Trade in Indian Financials


Top 10 Korean Stock Picks and Key Catalysts Bi-Weekly (12 to 26 September 2025)

By Douglas Kim

  • In this insight, we provide the top 10 stock picks and key catalysts in the Korean stock market for the next two weeks (12 to 26 September 2025).
  • Our top 10 picks were up on average 7.4% from 29 August to 12 September, outperforming KOSPI which was up 6.6% in the same period.
  • Top 10 picks in this bi-weekly include KCC Corp, Nongshim Holdings, KT&G, Paradise, Samsung Life Insurance, Hana Financial, SK Inc, CJ Corp, Lg Chem, and Lotte Tour Development.

Shengjing Bank (2066 HK): Revised and Final Offer Remains Light

By Arun George

  • Shenyang SASAC increased its Shengjing Bank Co Ltd H (2066 HK) offer by 21.2% from HK$1.32 to HK$1.60 per H Share, a 40.4% premium to the undisturbed price.
  • The revised offer has been declared final. The revised terms signal that at least one of the substantial H shareholders would not accept the previous offer.
  • While the revised terms should ensure the support of key shareholders, the terms remain light. Therefore, there remains a risk around the 90% minimum acceptance condition. 

Kotak Mahindra Bank (KMB IN) Vs. Bajaj Finserv (BJFIN IN): Stat-Arb Pair Trade in Indian Financials

By Gaudenz Schneider

  • Context: The Kotak Mahindra Bank (KMB IN) vs. Bajaj Finserv (BJFIN IN) price-ratio has deviated more than two standard deviations from its one-year average, presenting a potential relative value opportunity.
  • Highlights: Going long Kotak Mahindra Bank and short Bajaj Finserv targets a 6% return.
  • Why Read: Essential for quantitative traders seeking mean-reversion opportunities, with detailed execution framework, risk management protocols, and historical simulation showing the statistical basis for this relative value play.

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