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Academic research has suggested that while the market is mostly efficient, there do exist pockets of inefficiencies due to either structural or behavioural reasons. Examples are:
Incorrect discounting of future earnings:
-- misperceived systematic risk sets high risk premium but actual risk is low due to moat
-- high level of uncertainty but low downside is incorrectly valued as high risk
-- moated companies have competitve advantage that slows the usual reversion to mean
-- incorrect risk premium due to investor diversity breakdown (herd mania/panic)
-- true return on capital obscured due to accounting conventions for goodwill and R&D
Incorrect extrapolation of earnings due to some non-linearity in actual earnings:
-- recent earnings too depressed/elevated due to non-recurring event
-- unusually "lumpy" earnings cycle makes earnings extrapolation error prone
-- a transition point such as tornado of acceptance causes linear model to fail
-- when a small action has a large effect, e.g. when a merger creates an monopoly
Structural inefficiencies:
-- forced selling due to institutional min/max holding limits in restructuring situations, e.g. spinoff
-- short term traders need liquidity premium in small stocks to overcome bid/ask spread.
-- foreign stocks seem underrepresented in indexes compared to their GDP weights
-- market diversity breakdown e.g. when analyst estimates are herded too close to each other
-- volatility is the usual proxy for risk; but this may be wrong in high uncertainty scenarios
My strategy will be to focus stocks which might be underpriced due to such inefficiencies, and minimize risk by trying to choose companies with good fundamental prospects (e.g. moat). I will try to hold for long enough to arbitrage away noise traders (i.e. take advantage of overreaction reversal).
I will avoid linearly growing non-moated companies (in such cases, one should buy an index instead). I will sell once the earnings stream of a stock becomes predictable and hence probably has become properly priced.
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