Asset Allocation: Chart Technical Analysis
This strategy generates Buy & Sell signals using price
action alone, depending only on information available at the
time. It combines three elements - annual rates of change,
moving averages and divergence. Buy & sell signals are
represented by red arrows embedded in the price index.
The index is shown by the bold white line on the right hand
axis. The moving average is represented by the thin white
line alongside on the same axis. The explanatory variable,
the momentum indicator, is the thin yellow line using the
left hand axis.
For comparability, indices have been rebased to set year-end
1994 at 100. Please note the differences between charts in
the Assets RouteMap and those for other RouteMaps. Since
income is a major consideration for investment in some asset
classes but not others, all indices are shown as total
return and not in terms of price only, so as to make them
compatible.
The first element is based on the observation that the
psychological effect of a shock takes about a year to wear
off. Known as the Coppock Indicator, after the man who
successfully applied the concept for forecasting the US
stock market over many decades, this momentum indicator is
designed to generate buy signals. In statistical terms
momentum is defined here as a time-weighted moving average
of monthly changes. Buy signals are generated when the rate
of change turns up from a level below zero line, as shown by
up arrows.
However, owing to the different character of market peaks,
the Coppock Indicator has been supplemented by a second
element, which uses moving averages to generate sell
signals. These arise when the bond market index falls below
its moving average, while above zero, as shown by down
arrows.
The third element is necessary to offset the possibility of
trend-based charting strategies generating buy and sell
signals at the worst possible times. To reduce this risk,
our strategy therefore also includes an overbought /
oversold component. By combining three proven components in
one strategy, overall performance can often be dramatic.
Signals may be late at times of crisis, because they are
based on month-end prices, rather than automatically on
reaching targets during the month. Back-testing shows that
this combination of three elements is more effective than
reliance on a single charting technique.