mean-reverting strategies
In finance, mean reversion is the assumption that a stock's price will tend to move to the average price over time.[1][2]
Using mean reversion in stock price analysis involves both
identifying the trading range for a stock and computing the average
price using analytical techniques taking into account considerations
such as earnings, etc.
When the current market price is less than the average price, the
stock is considered attractive for purchase, with the expectation that
the price will rise. When the current market price is above the average
price, the market price is expected to fall. In other words, deviations
from the average price are expected to revert to the average.
Stock reporting services commonly offer moving averages
for periods such as 50 and 100 days. While reporting services provide
the averages, identifying the high and low prices for the study period
is still necessary.
Mean reversion has the appearance of a more scientific method of
choosing stock buy and sell points than charting, because precise
numerical values are derived from historical data to identify the
buy/sell values, rather than trying to interpret price movements using
charts (charting, also known as technical analysis).
Some asset classes,
such as exchange rates, are observed to be mean reverting; however,
this process may last for years and thus is not of value to an investor.
Mean reversion should demonstrate a form of symmetry since a stock
may be above its historical average approximately as often as below.
A historical mean reversion model will not fully incorporate the
actual behavior of a security's price. For example, new information may
become available that permanently affects the long-term valuation of an
underlying stock. In the case of bankruptcy, it may cease to trade
completely and never recover to its former historical average.
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