• Tariffs, Tech, and Tomorrow's Markets: Bridging the US-China Investment Landscape with Rick Carew

  • Apr 28 2025
  • Duración: 1 h y 9 m
  • Podcast

Tariffs, Tech, and Tomorrow's Markets: Bridging the US-China Investment Landscape with Rick Carew

  • Resumen

  • Did we get it all wrong, and we are actually negotiating a deeper globalization? A Thoughtful Tariff Talk and more

    Guest: Rick Carew - Former Wall Street Journal journalist covering Asia's financial markets, current investor and educator teaching value investing at Fordham University's Gabelli School.

    Key Topics: Value investing, journalism skills in investing, China-US business relations, AI in education, personal success philosophy

    Timestamps and Key Ideas:

    3:38 - Rick shares his upbringing in Richmond, Virginia, where his family owned a wine store that gave him entrepreneurial experience and an early understanding of business operations.

    5:21 - Discussion about Rick's language journey learning Chinese and Japanese, which taught him discipline and a growth mindset applicable to investing.

    8:06 - How learning languages provides cultural insights beyond words themselves, with Rick explaining how the Chinese character for "good" combines the characters for "mother" and "child."

    11:49 - Rick discusses teaching value investing at Fordham University and the importance of mastering concepts before teaching them to others.

    15:15 - Conversation about the core principles of value investing and how the framework needs to adapt to incorporate growth investing.

    18:25 - Rick explains how students at Fordham manage a real $2.3 million investment fund, teaching them asset allocation and emotional management during market volatility.

    22:30 - Rick shares how his journalism background provides valuable research skills for investing, including the willingness to pick up the phone for direct information.

    28:12 - Two powerful questions for management interviews: "What question did I forget to ask?" and "If you had to invest in a competitor, which would you choose and why?"

    32:22 - Discussion about how executives actually want feedback from thoughtful investors, especially as passive investing grows.

    34:15 - Rick explains the complex relationship between Chinese government, Communist Party, and businesses - highlighting cycles of crackdowns and regulations.

    40:04 - Insights on China's tech ecosystem as a "learning machine" studying and adapting Silicon Valley innovations.

    45:12 - Discussion about globalization, US-China relations, and whether recent trade tensions are temporary or signal a longer-term shift.

    53:03 - Rick's perspective on AI in education: embracing it as a tool while still requiring students to understand fundamentals and verify information.

    1:00:39 - Rick shares his three-part framework for success: enjoying your work, giving back to society, and maintaining curiosity throughout life.

    Podcast Program – Disclosure Statement

    Blue Infinitas Capital, LLC is a registered investment adviser and the opinions expressed by the Firm’s employees and podcast guests on this show are their own and do not reflect the opinions of Blue Infinitas Capital, LLC. All statements and opinions expressed are based upon information considered reliable although it should not be relied upon as such. Any statements or opinions are subject to change without notice.

    Information presented is for educational purposes only and does not intend to make an offer or solicitation for the sale or purchase of any specific securities, investments, or investment strategies. Investments involve risk and unless otherwise stated, are not guaranteed.

    Information expressed does not take into account your specific situation or objectives, and is not intended as recommendations appropriate for any individual. Listeners are encouraged to seek advice from a qualified tax, legal, or investment adviser to determine whether any information presented may be suitable for their specific situation. Past performance is not indicative of future performance.


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