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A new approach to equity investment opportunities

Making the Blencathra Futures Investment Model work for you
Equity markets have a range of characteristics . One important one being the obvious observation is
that growth in equity value will vary from equity to equity. Within the market there will be number
shares that outperform the rest. It is these shares that the Blencathra Model focuses on identifying
early on in their growth cycle. These are not only expected to outperform the market index but show
exceptional growth.

The paper below shows the growth of equities both in theory and in actual practice and explains the
processes used by the model to identify these shares

How Blencathra Futures Investment model can aid you in identifying shares that will
outperform market trends and how to flag buy and sell points for investments and enable
you to review hundreds of shares in a few minutes to enable you to identify those shares
which have the potential for high performance

Characteristics of equity market performance (theory)

Indices

The key indicator of the performance of an equity is the markets index eg FTSE100, Dow Jones,
SP500, CAC40

These indices give an indication of the overall direction of individual shares . The index is built from
data derived from individual shares some which will outperform the index and others that lag
behind the index

Fig 1 shows what a theoretical equity performance in a market could look like after a 100 days of
trading. This distribution is based on a normal curve ie 68% of prices will be close to the index but
there are a significant number of equities that show a 30% to 40% better performance than the
index (30 equities out 490 in the example) conversely in this example there are 30 equities showing
a similar % shortfalls. The trick is to find a methodology to identify those high flyers.

Fig 1
Characteristics of equity market performance (actual)

It is easy to set up theoretical models that produce the results you want. To test this you need to
look at the markets actual performance Fig 2 below is based on the actual performance of the FTSE
ALLSHARE index . An index based approximately 600 equities. The period covered in the chart is for
100 days from XX/XX/XX . All the prices have been set to base of 100 at day 1 those enabling the
relative performance of different equities to be measured

Fig 2
The top performing group in the chart is made up of 60 equities and has achieved an average
growth of 35% over the 100 day period. This is consistent with our modelled projections

We can further analyse this data by taking the top 10% performers and break this into 10% groups
each group containing six equities. The results are shown in fig 3. This now starts to show some
remarkable results. The top 6 equities have shown an average growth over the 100 day period of
70% plus and the next 24 equities have shown growth in excess of 30% over the period




Fig 3
Below is a list of equities, which have achieved over 20% growth in 100 days and form part
of the top four performing groups in graph above We have set the opening price to a base
of 100 with the latest and peak prices been measured against this base



                                   Base         closing    highest
                                  opening        price      price
 Equity                            price
 IP Group                              100.0       208.2      208.2
 Ashtead Group                         100.0       174.6      174.6
 Anite                                 100.0       176.2      176.2
 Mecom Group                           100.0       132.7      147.3
 Imagination Technologies Group        100.0       173.6      173.6
 888 Holdings                          100.0       167.9      169.5
 Collins Stewart Hawkpoint             100.0       135.5      137.7
 Wolseley                              100.0       144.0      144.0
 Optos                                 100.0       132.3      142.1
bwin.party digital
entertainment               100.0   143.2   143.6
Yell Group                  100.0   131.1   139.3
Fenner                      100.0   130.8   132.7
Old Mutual                  100.0   134.5   134.5
Micro Focus International   100.0   135.2   137.9
Barratt Developments        100.0   151.3   151.3
Hunting                     100.0   125.1   125.6
Atkins (W S)                100.0   134.0   134.0
Fiberweb                    100.0   129.2   129.2
Barclays                    100.0   149.3   149.3
NCC Group                   100.0   119.6   124.5
Regus                       100.0   146.8   146.8
ITV                         100.0   141.6   141.6
Premier Farnell             100.0   133.0   138.3
easyJet                     100.0   144.4   144.4

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Finding equity investment opportunities

  • 1. A new approach to equity investment opportunities Making the Blencathra Futures Investment Model work for you Equity markets have a range of characteristics . One important one being the obvious observation is that growth in equity value will vary from equity to equity. Within the market there will be number shares that outperform the rest. It is these shares that the Blencathra Model focuses on identifying early on in their growth cycle. These are not only expected to outperform the market index but show exceptional growth. The paper below shows the growth of equities both in theory and in actual practice and explains the processes used by the model to identify these shares How Blencathra Futures Investment model can aid you in identifying shares that will outperform market trends and how to flag buy and sell points for investments and enable you to review hundreds of shares in a few minutes to enable you to identify those shares which have the potential for high performance Characteristics of equity market performance (theory) Indices The key indicator of the performance of an equity is the markets index eg FTSE100, Dow Jones, SP500, CAC40 These indices give an indication of the overall direction of individual shares . The index is built from data derived from individual shares some which will outperform the index and others that lag behind the index Fig 1 shows what a theoretical equity performance in a market could look like after a 100 days of trading. This distribution is based on a normal curve ie 68% of prices will be close to the index but there are a significant number of equities that show a 30% to 40% better performance than the index (30 equities out 490 in the example) conversely in this example there are 30 equities showing a similar % shortfalls. The trick is to find a methodology to identify those high flyers. Fig 1
  • 2. Characteristics of equity market performance (actual) It is easy to set up theoretical models that produce the results you want. To test this you need to look at the markets actual performance Fig 2 below is based on the actual performance of the FTSE ALLSHARE index . An index based approximately 600 equities. The period covered in the chart is for 100 days from XX/XX/XX . All the prices have been set to base of 100 at day 1 those enabling the relative performance of different equities to be measured Fig 2
  • 3. The top performing group in the chart is made up of 60 equities and has achieved an average growth of 35% over the 100 day period. This is consistent with our modelled projections We can further analyse this data by taking the top 10% performers and break this into 10% groups each group containing six equities. The results are shown in fig 3. This now starts to show some remarkable results. The top 6 equities have shown an average growth over the 100 day period of 70% plus and the next 24 equities have shown growth in excess of 30% over the period Fig 3
  • 4. Below is a list of equities, which have achieved over 20% growth in 100 days and form part of the top four performing groups in graph above We have set the opening price to a base of 100 with the latest and peak prices been measured against this base Base closing highest opening price price Equity price IP Group 100.0 208.2 208.2 Ashtead Group 100.0 174.6 174.6 Anite 100.0 176.2 176.2 Mecom Group 100.0 132.7 147.3 Imagination Technologies Group 100.0 173.6 173.6 888 Holdings 100.0 167.9 169.5 Collins Stewart Hawkpoint 100.0 135.5 137.7 Wolseley 100.0 144.0 144.0 Optos 100.0 132.3 142.1
  • 5. bwin.party digital entertainment 100.0 143.2 143.6 Yell Group 100.0 131.1 139.3 Fenner 100.0 130.8 132.7 Old Mutual 100.0 134.5 134.5 Micro Focus International 100.0 135.2 137.9 Barratt Developments 100.0 151.3 151.3 Hunting 100.0 125.1 125.6 Atkins (W S) 100.0 134.0 134.0 Fiberweb 100.0 129.2 129.2 Barclays 100.0 149.3 149.3 NCC Group 100.0 119.6 124.5 Regus 100.0 146.8 146.8 ITV 100.0 141.6 141.6 Premier Farnell 100.0 133.0 138.3 easyJet 100.0 144.4 144.4