The Tecnoprom Core

Advanced and not-so-advanced technology

See my new website: DSSTI

Computational Investing I Notes: Efficient Market Hypotesis

091 Efficient Market Hypotesis

Basics of trading:

  • if price is significantly less than value, buy
  • if price is significantly more than value, short
Price movement is relative to market
Technical analysis:
  • Price & volume only
Fundamental analysis
  • Financial statements
  • P/E ratio, cash on hand, dividends

The info for the analysis comes from:

  • Price/Volume: the markets
  • Fundamentals: SEC filings
  • News: Exogenous sources

092 Efficient Markets Hypotesis

The variations of the prices reflect what the market thinks is the correct price There are 3 versions of the Efficient Markets Hypotesis:

  • Weak: prices reflect all past publicly available information
    • Prohibits profit from Technical Analysis
  • Semi-strong: weak + prices instantly change to reflect new public information
    • Prohibits profit from Technical Analysis and Fundamental Analysis
  • Strong: Semi-strong + prices instantly reflect even hidden or 'insider' information
    • Prohibits profit from Technical Analysis, Fundamental Analysis and even from insider information

But the hypoteses doesn't seem to be true:

  • The fundamental information doesn't correlate
  • Behavioural Economics -> cognitive biases:
  • The traders are humans, not perfectly calculating machines. They suffer from:
  • Overconfidence
  • Overreaction
  • Information bias

093 Event Studies in Detail

Events affect the price.

Price reflects the event before it happens => news leakage

Negative news:

  • 1st day: sharp negative reaction
  • 2nd day: negative reaction
  • 3rd-nth day: recovery

Positive news:

  • 1st day: sharp positive reaction
  • 2nd day: weak positive reaction
  • From 2nd day: flat out

Events effects can be measured

  • With confidence intervals