Martin Hutchinson

1 week ago | tbwns.com | Martin Hutchinson

President Trump’s threat to remove Harvard’s ability to take international students is appropriate. The university has admitted far too many dozy offspring of the Chinese Politburo and has allowed intellectual standards to collapse into a morass of woke incoherence. The first sign of sharp decline, as far back as 2006, was the university’s firing of its then President, former Treasury Secretary Larry Summers, for offenses against wokery.

2 weeks ago | tbwns.com | Martin Hutchinson

In research for my forthcoming book on global industrialization, I have been examining recently the career of the Japanese business titan Eiichi Shibusawa (1840-1931). Shibusawa, still something of a national hero in Japan, was effective head of the Dai-Ichi Bank from its founding in 1873 until 1917.

3 weeks ago | tbwns.com | Martin Hutchinson

President Trump this week described the EU as “in many ways nastier than China.” The media responded with the usual shrieks of outrage, but he had a point. The EU bureaucracy has imposed a structure on Europe that is perpetually Socialist, deeply anti-democratic and utterly intolerant of dissent. Traditionally, the EU benefited from being democratic and having better civil liberties than China, but those benefits are rapidly being eroded.

4 weeks ago | tbwns.com | Martin Hutchinson

President Trump recently threatened to remove Harvard University’s non-profit charitable status. That is an excellent idea. However, it should not be limited to Harvard, but extended to all charities, eliminating all their tax preferences. The Charity Industrial Complex, representing about 5.5% of GDP in nominal value, subtracts far more than that from our wealth for two reasons.

1 month ago | tbwns.com | Martin Hutchinson

In our 2010 book “Alchemists of Loss” Kevin Dowd and I examined the record of Wall Street risk management leading up to the 2007-08 financial crisis and concluded that it was seriously lacking. The universal assumption of “Gaussianity” caused participants to lose sight of the possibilities of “fat tails” where the probability of bad outcomes is seriously understated and “long tails” where potential outcomes are far worse than the model shows.