Quantitative Investing
Kerry Back
Security analysts
- Sell-side analysts work for brokerage firms and provide research to brokerage clients.
- They are a cost center and research is provided free to generate business (= commissions or advising fees).
- Buy-side analysts work for investment funds who use the research to pick stocks.
Technical versus fundamental
- Fundamental analysts forecast important ratios and growth rates to produce earnings forecasts and price targets as in Gordon/Dupont.
- Technical analysts use past prices to generate recommendations.
Technical analysis examples
- Support and resistance levels.
- Previous minimum (support) and maximum (resistance) stock prices are regarded as difficult to breach.
- But if breached, the trend is expected to continue.
- Moving averages: buy when price rises above moving average and sell when it falls below.
- Chart patterns (head and shoulders, …)
- Quantitative investing means using quantifiable signals to pick stocks and/or to time the market.
- Signals can include ratios and growth rates used by fundamental analysts and price signals used by technical analysts.
- Signals can also include
- insider trades, short interest, …
- sentiment analysis of social media, traditional media, and company announcements
- satellite and drone image data, and …
Efficient Markets Hypothesis
- All relevant information is already impounded into prices.
- Fundamental analysis is futile.
- Technical analysis is futile.
- Higher expected returns come only with higher risks: arket risk (beta) and/or other types of risks (oil price, …)
Counter-argument
- Not all investors are smart
- Smart investors may not scoop up all opportunities
- Limited capital
- Costs of trading
- For example, an investor who shorts risks running out of capital from margin calls before being eventually right.
- More likely to be opportunities among smaller stocks, which are difficult for large investors to trade.