Sim Simeonov's presentation from Angel Bootcamp 2011 teaches lessons for successful angel investing based on statistical analysis of thousands of angel investments over a twenty year period. For more info, see http://sim.vc/angels
14. be a player
investment optionality
dollar cost averaging
play a lot
15. Angel Investment
Returns Analysis
Ingredients Instructions
• Kaufmann angel 1. Clean data
return data set
2. Analyze data set
• Additional data
3. Reverse-engineer
from angels
returns probability
Tools distribution
• Big data kitchen 4. Do Monte Carlo
5. Adjust & repeat #4
for all interesting
questions
16. Two things you don’t
want to see made:
sausage & econometrics
36. Be an active angel.
Benefit from:
- portfolio effects
- lean startup ecosystem
- making big bets
37. Be a selective angel.
Focus on:
- information asymmetry
- low-failure opportunities
- price
38. Econometrician seeks
angel investor data for
discrete long-term
relationship and intense
anything-goes analysis.
Must be clean and BS-free.
http://sim.vc/angels