scholarly journals A review and simulation of business angel investment returns

2017 ◽  
Vol 19 (4) ◽  
pp. 285-311 ◽  
Author(s):  
Geoff Gregson ◽  
Adam J. Bock ◽  
Richard T. Harrison
Author(s):  
Tiago Botelho ◽  
Richard Harrison ◽  
Colin Mason

AbstractAlthough there are a handful of studies on business angel investment returns, the business angel literature has given little or no attention to exits and the exit strategy. This is surprising given that a primary objective of investing is to achieve a capital gain through some form of liquidity event. Using the theory of planned behaviour (TPB) as an interpretative heuristic, we examine how exits happen: specifically, what are the motivations to seek an exit and to what extent are they planned or opportunistic? Based on multiple case studies in which business angels were invited to tell the story of their most recent exit(s), the evidence suggests that the majority of liquidity events are the outcome of planned behaviour. We propose a typology of angel-backed investment exits as the basis for identifying future directions for research and developing practical advice to angels on effective business practices.


2020 ◽  
pp. 104225872094520
Author(s):  
Ivo Blohm ◽  
Torben Antretter ◽  
Charlotta Sirén ◽  
Dietmar Grichnik ◽  
Joakim Wincent

Investors increasingly use machine learning (ML) algorithms to support their early stage investment decisions. However, it remains unclear if algorithms can make better investment decisions and if so, why. Building on behavioral decision theory, our study compares the investment returns of an algorithm with those of 255 business angels (BAs) investing via an angel investment platform. We explore the influence of human biases and experience on BAs’ returns and find that investors only outperformed the algorithm when they had extensive investment experience and managed to suppress their cognitive biases. These results offer novel insights into the role of cognitive limitations, experience, and the use of algorithms in early stage investing.


2020 ◽  
Vol 40 (3) ◽  
pp. 339-354
Author(s):  
Kellilynn M. Frias ◽  
Deidre L. Popovich ◽  
Dale F. Duhan ◽  
Robert F. Lusch

Business angels are vital sources of funding for new ventures. Yet, acquiring business angel support is difficult. Typically organized in professional networks, business angels collectively evaluate and deliberate about new ventures to determine their worthiness of support. One factor deemed to be critical during this evaluation is market risk. Yet, limited research in Macromarketing examines market risk. To our knowledge, no previous study examines market risk in capital markets, nor do they study angel financing. Neglecting to study angel financing is particularly problematic for macromarketing because this type of finance is much more prominent than venture capital in supporting new ventures. To fill this gap, we begin by exploring the literature by Lusch (and coauthors) linking marketing and capital markets as well as studies of market risk. We then craft fictitious angel investment proposals to measure market risk assessments by business angels and entrepreneurs. We ask which factors impact market risk during the early-phases of the investment screening process (when market risk is weighted more heavily) and identify whether these factors are evaluated differently by entrepreneurs versus business angels. Our findings reveal that commercialization capability, technological compatibility, and intellectual property rights enforceability influence perceived market risk and that entrepreneurs and business angels view these factors significantly differently. We then offer directions for further research related to this study and other work of Lusch. Finally, we suggest practical implications for use by business angels and entrepreneurs.


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