“We’re Players In Several Giant Games Of Chicken…”
Submitted by Ben Hunt via Salient Partners’ Epsilon Theory blog,
Sometimes when you fire up an earthquake machine, you get a real earthquake.
There are three questions I’d like to answer in this Epsilon Theory note: what did the Narrative Machine tell us about the market immediately before and immediately after the November 8 election, what am I preparing for now as an investor, and what am I preparing for now as a citizen? I’m giddy about the first, quietly confident about the second, and pretty darn depressed about the third. Could be worse, I suppose. On the first question, the Narrative Machine gave clear, actionable, and non-consensus signals prior to the U. S. election last week. For readers who aren’t familiar with what I mean by the Narrative Machine, I’ll refer you to this note by the same title. In a nutshell, I’m using a technology called Quid to take Big Data snapshots of large numbers of financial media articles. These snapshots show the connectivity and influence of each article to every other article, constructing a neural network or ‘star map’ of the narratives and meaning clusters that link the articles. By looking at measures of sentiment and connectivity associated with the network, I think that I can get a good sense of market complacency around events like a Trump victory, as well as the likely direction and magnitude of market moves if an event like that comes to pass. Bottom line: I think that the Narrative Machine gives us a good sense of what’s priced into markets.
This post was published at Zero Hedge on Nov 26, 2016.