The Art of Boring™ was created for curious and passionate investors. We share strategies, frameworks, and insights to help readers and listeners make better investment decisions. Our aim? To provide some bottom-up, long-term investing signal to cut through the short-term noise.

  • Why public investors should care about the rise of private investment

    To be sure, there are many reasons a company may prefer to turn to private investors over more traditional public markets, but as more companies choose private funding when they need to raise capital, what are the implications for investors in public markets? 

    October 31, 2018

  • A selective approach to equity markets

    Last week, Morningstar interviewed international equity portfolio manager David Ragan about finding resilient stocks in international markets during turbulent times.

    October 17, 2018


  • Canadian lifecos: More than just insurance

    Canadian insurance companies are no longer just in the business of selling insurance to Canadians. They function more like financial conglomerates, and that, for investors, is potentially a good thing.

    August 22, 2018

  • Defensiveness: A suitcase word

    Given how often “defensive” enters into the investing lexicon and that it can mean different things to different people, aiming for a greater degree of precision in its definition may help to reduce misunderstanding or generalized historical bias.

    July 18, 2018

  • Process before proceeds

    In theory, investors should improve at least linearly over time as they make and learn from errors. But in practice, there seems to be little evidence of this (only few active managers beat the market over longer time periods).

    June 12, 2018

  • Italian moves

    Italy has been the source of drama in recent weeks, and it hasn’t all been about men racing bicycles in spandex.

    June 4, 2018


  • “Certified fresh” lessons from machine learning

    Humans and machines have different strengths and weaknesses, and on our team, we tend to see the foreseeable future as a world in which the two work side-by-side. As with any tool, for machine learning to be useful, it is what it is being used for and how that matters. 

    May 2, 2018