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T H E E C O N O M I C I M P A C T O F A N G E L I N V E S T M E N T U N V E I L E D
Lourdes Moreno
19th May 2014
2
Table of Contents
n  Objective
n  Sample
n  Variables
n  Results
n  Conclusions & Implications
3
Estimate the impact of angel
investment on the performance of EU
start-ups
Objective
4
Sample
n  Initial Sample: 3.208 start-ups across Europe that have received angel investment
n  We merged information from different databases:
—  EBAN
—  INVREP reporting systems
—  BANs
—  Orbis and Zephyr databases managed by Bureau van Dijk
—  Crunch database
—  Other web based data,…
n  Orbis database constitutes our source for variables where we omitted observations with missing data
n  Final sample: 1.661 start-ups
Initial sample:
3.208
European
startups"
"
2.771 were in
Orbis database"
437 companies
were not in Orbis"
2.265 included
data on key
variables "
506 companies
had no relevant
data in Orbis"
1.661 companies
constitute our
FINAL SAMPLE"
604 companies too
large or with NO data
on/after investment"
Deals !
selected!
Deals !
deleted!
5
Sample
n  The INITIAL 3.208 companies cover 37 EU countries
n  The companies were incorporated, on average, 5.6 years ago*
n  The analysis utilises data for the years 2004-2013
n  We estimated the impact on performance for the 3 years after the first angel investment
* 6.1 years if we exclude those incorporated in 2013 for
which we do not have data"
6
Sample
n  The FINAL sample comprises 1.661 companies with an average life of 6.3 years
n  The top 5 sectors cover 69% of the companies (IT, Manufacturing, Commerce, Science R&D,
Media)
7
Variables
n  Measure of start-up performance after angel investment on:
n  Employment
n  Revenues
n  Asset size
n  EBITDA
n  Where we controlled for:
n  Sector
n  Country
n  Year of incorporation
n  Year of investment
8
Estimated impact on employment
n  Companies, on average, have 5 employees when they receive angel investment
n  The employment level more than triples by the third year after angel investment
Source: Elaborated by Lourdes Moreno with data from Orbis database "
9
Estimated impact on revenues
n  Revenue generating companies see their top line increase by 150% in 3 years
n  Their revenues are close to €1.8m 3 years
* Does not include zero revenue companies on year of investment"
Source: Elaborated by Lourdes Moreno with data from Orbis database "
10
Estimated impact on assets
n  The closing balance sheet size at year of investment is of €0.7m growing at similar rate than
revenues
Source: Elaborated by Lourdes Moreno with data from Orbis database "
11
Estimated impact on EBITDA
n  Our analysis of the EBITDA indicates the start-ups do not reach break even at the EBITDA level
during the first three years after the investment
Source: Elaborated by Lourdes Moreno with data from Orbis database "
12
Estimated impact by industry sector
n  Large concentration on the IT sector with 37% of the companies
n  The IT sector presents the best financial performance being the only one with positive EBITDA
after three years
n  The publishing, audiovisual and broadcasting sector shows the largest employment generation
capacity though the worst in profitability
Negative EBITDA growth implies margin deterioration from a negative starting position."
"
Source: Elaborated by Lourdes Moreno with data from Orbis database "
"
13
Conclusions and Implications
Conclusions
n  Start-ups represent a key segment for the economy in terms of employment and size growth
n  From the moment when angels invest in start-ups, these almost triple their size in terms
of employment, revenues and assets within three years
n  Angel-funded European stat-ups are highly concentrated in 5 economic sectors:
n  The IT sector presents the best financial performance though media sectors present the
largest employment generation capacity
n  It is difficult to obtain country based conclusions as the information extracted by
countries is not representative
Implications
n  EU public policies should encourage angel-funded start-ups due to its direct impact on the
economy
n  Specific efforts should be made to foster this investment activity in as many geographies as
possible
n  Further work needs to be done to understand profitability and mortality rates
n  Start-up research is limited by lack of information that facilitates the identification of start-
ups and the provision of historical data
14
Thank you !!
For any question:
Lourdes Moreno
lomoreno@me.com
Reference:"
Moreno, L. (2014): “The economic impact of angel investment unveiled” presented at EBAN Annual Congress on the 19th May 2014 in Dublin"

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The Economic Impact of Angel Investment Unveiled

  • 1. T H E E C O N O M I C I M P A C T O F A N G E L I N V E S T M E N T U N V E I L E D Lourdes Moreno 19th May 2014
  • 2. 2 Table of Contents n  Objective n  Sample n  Variables n  Results n  Conclusions & Implications
  • 3. 3 Estimate the impact of angel investment on the performance of EU start-ups Objective
  • 4. 4 Sample n  Initial Sample: 3.208 start-ups across Europe that have received angel investment n  We merged information from different databases: —  EBAN —  INVREP reporting systems —  BANs —  Orbis and Zephyr databases managed by Bureau van Dijk —  Crunch database —  Other web based data,… n  Orbis database constitutes our source for variables where we omitted observations with missing data n  Final sample: 1.661 start-ups Initial sample: 3.208 European startups" " 2.771 were in Orbis database" 437 companies were not in Orbis" 2.265 included data on key variables " 506 companies had no relevant data in Orbis" 1.661 companies constitute our FINAL SAMPLE" 604 companies too large or with NO data on/after investment" Deals ! selected! Deals ! deleted!
  • 5. 5 Sample n  The INITIAL 3.208 companies cover 37 EU countries n  The companies were incorporated, on average, 5.6 years ago* n  The analysis utilises data for the years 2004-2013 n  We estimated the impact on performance for the 3 years after the first angel investment * 6.1 years if we exclude those incorporated in 2013 for which we do not have data"
  • 6. 6 Sample n  The FINAL sample comprises 1.661 companies with an average life of 6.3 years n  The top 5 sectors cover 69% of the companies (IT, Manufacturing, Commerce, Science R&D, Media)
  • 7. 7 Variables n  Measure of start-up performance after angel investment on: n  Employment n  Revenues n  Asset size n  EBITDA n  Where we controlled for: n  Sector n  Country n  Year of incorporation n  Year of investment
  • 8. 8 Estimated impact on employment n  Companies, on average, have 5 employees when they receive angel investment n  The employment level more than triples by the third year after angel investment Source: Elaborated by Lourdes Moreno with data from Orbis database "
  • 9. 9 Estimated impact on revenues n  Revenue generating companies see their top line increase by 150% in 3 years n  Their revenues are close to €1.8m 3 years * Does not include zero revenue companies on year of investment" Source: Elaborated by Lourdes Moreno with data from Orbis database "
  • 10. 10 Estimated impact on assets n  The closing balance sheet size at year of investment is of €0.7m growing at similar rate than revenues Source: Elaborated by Lourdes Moreno with data from Orbis database "
  • 11. 11 Estimated impact on EBITDA n  Our analysis of the EBITDA indicates the start-ups do not reach break even at the EBITDA level during the first three years after the investment Source: Elaborated by Lourdes Moreno with data from Orbis database "
  • 12. 12 Estimated impact by industry sector n  Large concentration on the IT sector with 37% of the companies n  The IT sector presents the best financial performance being the only one with positive EBITDA after three years n  The publishing, audiovisual and broadcasting sector shows the largest employment generation capacity though the worst in profitability Negative EBITDA growth implies margin deterioration from a negative starting position." " Source: Elaborated by Lourdes Moreno with data from Orbis database " "
  • 13. 13 Conclusions and Implications Conclusions n  Start-ups represent a key segment for the economy in terms of employment and size growth n  From the moment when angels invest in start-ups, these almost triple their size in terms of employment, revenues and assets within three years n  Angel-funded European stat-ups are highly concentrated in 5 economic sectors: n  The IT sector presents the best financial performance though media sectors present the largest employment generation capacity n  It is difficult to obtain country based conclusions as the information extracted by countries is not representative Implications n  EU public policies should encourage angel-funded start-ups due to its direct impact on the economy n  Specific efforts should be made to foster this investment activity in as many geographies as possible n  Further work needs to be done to understand profitability and mortality rates n  Start-up research is limited by lack of information that facilitates the identification of start- ups and the provision of historical data
  • 14. 14 Thank you !! For any question: Lourdes Moreno lomoreno@me.com Reference:" Moreno, L. (2014): “The economic impact of angel investment unveiled” presented at EBAN Annual Congress on the 19th May 2014 in Dublin"