Skip to main content

Fixing the Game

There is a great summary article in Forbes of this book by Roger Martin.  Having run a public company for several years, the thesis here resonated with me immediately.  Executives spend way too much time managing the Expectations Market (i.e., the stock market) as opposed to building value in the Real Market (i.e., goods and services used by your customers).  And, because the Expectations Market exists, hedge funds and activist investors have a platform.  To change the focus back to the Real Market, Martin has several suggestions, including:

  • Repeal safe harbor, thus eliminating earnings guidance and forward speculation.
  • Eliminate stock-based compensation.
  • Regulate hedge funds.

I have had a related theory for a long time:  that the tax system is unfairly structured to favor the Expectation Market.  You pay lower taxes on Expectations Market gains (capital gains) than you do on Real Market gains (gains tied closely to the production of Real goods).  The further a financial instrument gets from the Real Market, the higher the taxes on it should be.  Hedge fund gains, or credit default swaps, should be taxed at a higher rate than income tax.  Of course, money is the lubricant for the Real Market, so we would have to ensure that direct investments that are "close to the Real" still had a tax advantage.  However, by increasing taxes based on the "derivative level" of an instrument, we would encourage people to spend more time in the Real world.

Comments

Popular posts from this blog

The Fourth R.

Reading, wRiting, aRithmetic, and algoRithms.  My wife and I were just brainstorming about this: how coding should be the next "basic" skill.  Of course, someone was ahead of us and posted this .  It is awesome to see Mozilla Hackasaurus referenced in this article.  It is a small world. In the early days of the printing press, scholars wrote the books; the press was simply used for production (see this article ).  As time went on, "average" people became familiar with the medium, and used it for their own messages.  We are at just that point with the Web.  Software Engineers write the code, and the Web distributes it.   Software Engineers are the algoRithm scholars of today.  They won't be for long.  Soon algoRithms will be taught starting in elementary school, along with the other three R's.

Tiny Silicon Chip Uses Quantum Physics to Slow Light Down | Wired Science | Wired.com

Tiny Silicon Chip Uses Quantum Physics to Slow Light Down | Wired Science | Wired.com OK - this is cool and interesting. BUT - what does it mean. Authors of articles like this one should at least attempt to highlight some real commercial applications. Why does slowing down light matter? I guess, if you can "stop" light, you can store photons as memory, which would be pretty efficient. Is that the ultimate goal?