BEST GUESSES
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Summary: Alias Forecasts, Buy & Sell Signals and investment Odds used in Investors
RouteMap ®
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Bottom-Up Bias |
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Different Kinds of Opinion The various types of charts and ratios in the RouteMaps contain unambiguous
opinions, generated automatically and objectively using active quantative top-down
forecasting techniques. This helps to overcome the optimistic bias of aggregating
bottom-up analysis.
There is one logical exception, described below.
Nevertheless we hesitate to call the results anything more than "Best Guesses"
in the world of investment, where to be on the right side of average, more often than not,
already represents outperformance. Our Best Guesses should be seen as approximations of
the general direction and timing, based on projecting past patterns of behaviour. Users
should be aware of the strengths and weaknesses of each type of analysis. Depending on the
type of analysis, our Best Guess may take a variety of forms.
- Econometric Forecasts
- Buy & Sell Signals
- Valuation Ratios
- Investment Odds
- Action Recommendations
Our Composite
Trend Indicator shows the exponential improvement in investment performance by
combining Buy or Sell signals generated by the different market timing strategies for
which results can be back tested.
- Economic Trends
- Chart Technical Performance
- Seasonal Trading Patterns
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| Econometric
Forecasts 
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Econometric Forecasts These
are shown as an orange projection in the
chart alongside. They are only as good as our econometric models and the raw data fed into
them. Top-down economic forecasts are often more reliable than aggregating bottom-up
company forecasts because of the well-established tendency of the latter to be biased
towards optimism.
- During the last decade a survey of aggregated bottom-up earnings estimates proved to be
a staggering 8% too optimistic in predicting growth every year (GS Global Economics Papers
No. 62, May 2001).
- Similarly a survey of nearly 28,000 US analysts' recommendations by First Call / Thomson
Financial in May 2001 showed that nearly 70% were Buys while less than 1% were Sells, as
shown alongside.
Nevertheless directly or indirectly top-down analysis is based on consensus estimates
for the most widely analysed economic variables. While these lack the optimistic bias of
bottom-up estimaes, they do have a tendency to lag turning points in the real world. |
| Investing
Signals 
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Buy & Sell
Signals These are shown as red arrows
alongside and are appropriate for strategies based on trends, derived from past patterns
of market behaviour. They are based on applying the same mathematical formula across all
countries. These have been tested as extensively as possible to minimise the risk of
bias. We have used data on 50 countries and regions over 25 years, which covers a
wide range of circumstances. Furthermore the assets in question are so large as to make
market manipulation difficult. While the results of the strategies we show at the Test Station are often very good,
there are two important caveats. Firstly, not all strategies worked in all markets all the
time. Please check the Reliability figures in each table. Secondly, cynics believe that
successful strategies tend to become self-defeating in time as more and more players adopt
them. On retesting our data for just the last four years, some modest deterioration was
found, but it was not widespread or significant enough to warrant changing any strategy.
In any event there is little statistical reason to prefer a subset over an entire
database. |
| Value
Investing Strategies 
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Valuation Ratios These
are shown as a secondary yellow chart series,
using the left hand vertical axis, and coloured yellow ( and a green
series if there is a second ratio) in the chart alongside. This variety of
Best Guess is appropriate in the case of value investing strategies, where it is possible
to identify what is cheap or dear, but not the timing of any change.
Owing to conceptual difficulties in defining in
advance the upper and lower limits of valuation ranges, it is not meaningful to define buy
and sell zones. Interpretation of such charts therefore also requires reference to ranking
tables, in which markets are ranked by the divergence of the current ratio from its
historical average. For example in the chart, the price index may have reached a peak but,
as the valuation ratio is only in the middle of its trading range, there remains
considerable further upside potential.
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Odds of beating Cash
By Country (1973/1998) |
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Bonds |
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Liquidity |
67% |
Momentum |
100% |
Seasonal |
93% |
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Forex |
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Liquidity |
45% |
Momentum |
68% |
Seasonal |
71% |
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Shares |
.. |
Liquidity |
79% |
Momentum |
85% |
Seasonal |
77% |
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| Styles |
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Liquidity |
N/A |
Momentum |
100% |
Seasonal |
60% |
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Investment Odds These are
used in seasonal trading strategies where other types of prediction are meaningless. These
are calculated on the basis of doing better than break-even, assuming no dealing expenses.
By definition there will always be a profit between the annual high and low, even if the
same months are chosen every year, so it is more relevant to check for reliability in
order to minimise the risk that exceptional movements in one year may create misleading
results. In order to minimise this risk as much as 25 years of data is used. To
highlight exceptional data, shorter term results are also shown. The darker the colour of
the series the longer the time span used. Thus the white series covers 4 years,
the light grey series covers 12 years and
the dark grey series covers 25 years.
The table alongside shows the odds of success for the
complete set of positions taken in each market. However please note that the odds for
success in any one month will be much lower and generally range from 55% to 60%. |
| Action
Recommendations Our overall Best Guess
about each market is the end product of up to eight strategies for each asset class. First
different types of trend and valuation signals are combined into separate categories. Then
these two categories are combined together.
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Financial
Health Warning Regardless of
preferred method of prediction, users of any quantitative technique should be aware of the
risk of counting only what can be counted. A Chronology chart is provided to analyse
the influence of special factors, such as elections and wars in each market's financial
history. This provides no predictions but will enable users to asses the effect of
similar events in the past or in other countries.
Even after minimising the risks by providing
a variety of quantitative investment tools, Investors RouteMap makes no claim to
incorporate all relevant factors. Its objective is to improve the investment odds by
assessing those factors likely to be most important and capable of being analysed
consistently over as many countries as possible. |