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The role of lead investors in equity crowdfunding campaigns with a secondary market

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Abstract

We explore two recent phenomena in equity crowdfunding platforms: the development of dedicated secondary markets and the crucial role of institutional investors (lead investors in terms of pledge). First, we propose a theoretical model in which crowd and lead investors choose to finance campaigns posted by entrepreneurial firms that are heterogeneous with respect to their target and long-term return. We suppose that lead investors make huge pledges in the highest return campaigns but bear the cost of illiquidity whereas the crowd invests in all campaigns. The platform sets up a secondary market to enhance asset liquidity, but all entrepreneurial firms with successful campaign are not automatically listed. If they are listed, second-hand transactions send signals on the chance of success of the funded campaigns. Theoretical results show that increasing the number of lead investors or their pledge improves fundraising but always reduces access to the secondary market for some entrepreneurial firms. If the lead investors’ cost of illiquidity is particularly low, it may even decrease the share of entrepreneurial firms that have access to the secondary market. We then test these predictions using data scraped from one of the most important ECF platforms that covers the period November 2018–October 2020. We empirically show that the number of lead investors and their pledge are positively correlated with the success of the fundraising campaign and negatively correlated with the access the entrepreneurial firms have to the secondary market. These results suggest that the illiquidity of shares is not of first importance for lead investors, who tend to make long-term commitments to crowdfunding campaigns. The implementation of secondary market is thus a useful tool to attract crowd investors but should be finely monitored by the platform to retain lead investors.

Plain English Summary

The development of secondary markets and the increasing role of institutional investors (lead investors in terms of pledge) are recent phenomena in the world of equity crowdfunding platforms. We question why all funded entrepreneurial firms are not automatically listed when secondary markets open. Second-hand transactions offer a valuable exit option for investors but may send perturbing signals through too much price share volatility and possible loss of confidence from entrepreneurs and investors. The role of the platform is then to select funded campaigns authorized to be listed on its secondary market. We show both theoretically and empirically that increasing the number of lead investors or their pledge improves fundraising but surprisingly reduces access to the secondary market for some entrepreneurial firms. This suggests that the illiquidity of shares does not really matter for lead investors, who tend to make long-term commitments. In conclusion, our study provides practical implications for equity crowdfunding platforms that seek to organize the opening of secondary markets.

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Data Availibility

The data used in this paper were hand collected from various websites that made their data available online. The https://doi.org/10.1007/s11187-023-00811-0 database built and used in this paper is thus not publicly available.

Notes

  1. In the UK, two platforms share the market: Seedrs and Crowdcube.

  2. Available at www.seedrs.com/institutions-intermediary-investors, last retrieved on 09/2022.

  3. The Romanian platform Seedblink announced the launch of its secondary market on March 9, 2023, with a transaction period organized every 3 months. In previous years, the Latvian Crowdedhero, the US platforms StartEngine, SeedInverst and Republic, the German Companisto, the Swedish FundedByMe, and the British Shojin announced their plans to open a secondary market, but some of these are no longer active, and the others have not yet implemented their plans. Crowdlending platforms also organize secondary markets, such as the British Blend Network or the German Exporo.

  4. We will detail further the functioning of a secondary market in Sect. 2.2.

  5. It should be noted here that the “lead” four investors are not defined as the investors who invest first in the campaign, but they are defined as the investors who invest the four largest amounts of funds during the campaign.

  6. Note that our data do not allow us to differentiate between the choice of the entrepreneurial firm vs. the platform but this will not affect our results.

  7. As explained below, an imperfect evaluation of expected profits \(R_i\) would not change substantially the results of the model.

  8. Note that we cannot observe if these investors were early or late investors.

  9. The average campaign goal has increased in recent years. In Vulkan et al. (2016), the average campaign goal was \(\pounds \)138,228 but also with a large heterogeneity in the desired amounts.

  10. The correlation matrix is available on request.

  11. This success rate seems to be a bit higher than the one displayed by the platform. As we completed missing information by using an aggregator platform, some unsuccessful projects could have been omitted from our final sample.. The descriptive statistics also show that approximately 50% of the successful companies had access to the secondary market during our period of analysis. Finally, Table 2 reveals that the mean value of investment made by the main investors varies between 47 and 72% of the funding target depending on the number of investors considered (from one to four investors). The maximum value for the ratio Ratio top 1 Inv. reaches 118%. There are nine projects for which the amount invested by one main investor is superior to the funding targeted. For the project with the highest ratio (118%), this overfunding is due to the fact that the project was already fully funded before the first day of the campaign on the platform. For the eight other projects, the ratio is between 100.001 and 107%. Table 3 shows the differences between the subsamples of fully versus non-fully funded projects and between the subsamples of firms that had access to the secondary market versus the ones that did not have access to this market.

  12. It should be noted that some campaigns raise their target being financed by only one lead investor. In order to test the robustness of our results by excluding the campaigns funded only by one lead investor, we dropped from the sample all the campaigns financed more than 90% of the total amount by one lead investor. The results (available on request) stay robust to the exclusion of these campaigns.

  13. It should be noted that in non-reported additional checks, we tested for the validity of the variable Funding target as a possible instrument. Indeed, we can argue that the probability of success is correlated with the funding targeted but it is uncorrelated with the outcome variable, the probability of accessing the market. The instrument is not weak with an average F statistic of 15 for the first-stage regression, slightly over the critical value of 10 recommended for identifying a weak instrument. However, due to the difficulty to identify a really strong instrument, we prefer to estimate a recursive bivariate probit model. However, the results obtained when adopting the instrumental variable method show that the coefficients for our main variables are unchanged.

References

  • Acharya, V. V., & Pedersen, L. H. (2005). Asset pricing with liquidity risk. Journal of Financial Economics, 77(2), 375–410.

    Article  Google Scholar 

  • Ahlers, G. K., Cumming, D., Günther, C., & Schweizer, D. (2015). Signaling in equity crowdfunding. Entrepreneurship Theory and Practice, 39(4), 955–980.

    Article  Google Scholar 

  • Andrieu, G., Groh, A. P. (2021). Strategic exits in secondary venture capital markets. Journal of Business Venturing, 36(2)

  • Assenova, V., Best, J., Cagney, M., Ellenoff, D., Karas, K., Moon, J., Neiss, S., Suber, R., & Sorenson, O. (2016). The present and future of crowdfunding. California Management Review, 58(2), 125–135.

    Article  Google Scholar 

  • Belleflamme, P., Lambert, T., & Schwienbacher, A. (2014). Crowdfunding: Tapping the right crowd. Journal of Business Venturing, 29(5), 585–609.

    Article  Google Scholar 

  • Berger, A. N., & Udell, G. F. (1998). The economics of small business finance: The roles of private equity and debt markets in the financial growth cycle. Journal of Banking & Finance, 22(6–8), 613–673.

    Article  Google Scholar 

  • Blaseg, D., Cumming, D., & Koetter, M. (2021). Equity crowdfunding: High-quality or low-quality entrepreneurs? Entrepreneurship Theory and Practice, 45(3), 505–530.

    Article  Google Scholar 

  • Bollaert, H., Lopez-de Silanes, F., & Schwienbacher, A. (2021). Fintech and access to finance. Journal of Corporate Finance, 68, 101941.

    Article  Google Scholar 

  • Boyer, B., Nadauld, T. D., Vorkink, K. P., & Weisbach, M. S. (2018). Private equity indices based on secondary market transactions. National Bureau of Economic Research: Technical Report.

    Book  Google Scholar 

  • Butticè, V., Di Pietro, F., & Tenca, F. (2021).They do not look alike: What kind of private investors do equity crowdfunded firms attract? The Journal of Technology Transfer, 1–30

  • Butticè, V., Di Pietro, F., & Tenca, F. (2020). Is equity crowdfunding always good? deal structure and the attraction of venture capital investors. Journal of Corporate Finance, 65, 101773.

    Article  Google Scholar 

  • Butticè, V., & Vismara, S. (2022). Inclusive digital finance: The industry of equity crowdfunding. The Journal of Technology Transfer, 47(4), 1224–1241.

    Article  Google Scholar 

  • Cassar, G. (2004). The financing of business start-ups. Journal of Business Venturing, 19(2), 261–283.

    Article  Google Scholar 

  • Cholakova, M., & Clarysse, B. (2015). Does the possibility to make equity investments in crowdfunding projects crowd out reward-based investments? Entrepreneurship Theory and Practice, 39(1), 145–172.

    Article  Google Scholar 

  • Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202.

    Article  Google Scholar 

  • Cumming, D., & Reardon, R. S. (2022). COVID-19 and entrepreneurial processes in US equity crowdfunding. Journal of Small Business Management, 1–24

  • Cumming, D. J., Johan, S., & Reardon, R. (2022). Governance and success in US securities-based crowdfunding. Available at SSRN 3950966 .

  • Cumming, D. J., Johan, S. A., & Zhang, Y. (2019). The role of due diligence in crowdfunding platforms. Journal of Banking & Finance, 108, 105661.

    Article  Google Scholar 

  • Cumming, D. J., Vanacker, T., & Zahra, S. A. (2021). Equity crowdfunding and governance: Toward an integrative model and research agenda. Academy of Management Perspectives, 35(1), 69–95.

    Article  Google Scholar 

  • De Crescenzo, V., Ribeiro-Soriano, D. E., & Covin, J. G. (2020). Exploring the viability of equity crowdfunding as a fundraising instrument: A configurational analysis of contingency factors that lead to crowdfunding success and failure. Journal of Business Research, 115, 348–356.

  • Drover, W., Wood, M. S., & Zacharakis, A. (2017). Attributes of angel and crowdfunded investments as determinants of VC screening decisions. Entrepreneurship Theory and Practice, 41(3), 323–347.

    Article  Google Scholar 

  • Goethner, M., Luettig, S., & Regner, T. (2021). Crowdinvesting in entrepreneurial projects: Disentangling patterns of investor behavior. Small Business Economics, 57(2), 905–926.

    Article  Google Scholar 

  • Greene, W. (2008). Discrete choice modeling. Teoksessa T. Mills & K. patterson (toim.) The palgrave handbook of econometrics, vol 2. Applied Econometrics.

  • Hervé, F., & Schwienbacher, A. (2018). Crowdfunding and innovation. Journal of Economic Surveys, 32(5), 1514–1530.

    Article  Google Scholar 

  • Hornuf, L., & Schwienbacher, A. (2018). Market mechanisms and funding dynamics in equity crowdfunding. Journal of Corporate Finance, 50, 556–574.

    Article  Google Scholar 

  • Ibrahim, D. M. (2012). The new exit in venture capital. Vand. L. Rev., 65, 1.

    Google Scholar 

  • Kleinert, S., Bafera, J., Urbig, D., & Volkmann, C. K. (2022). Access denied: How equity crowdfunding platforms use quality signals to select new ventures. Entrepreneurship Theory and Practice, 46(6), 1626–1657.

    Article  Google Scholar 

  • Knapp, L. G., & Seaks, T. G. (1998). A hausman test for a dummy variable in probit. Applied Economics Letters, 5(5), 321–323.

    Article  Google Scholar 

  • Lagos, R., Rocheteau, G., & Wright, R. (2017). Liquidity: A new monetarist perspective. Journal of Economic Literature, 55(2), 371–440.

    Article  Google Scholar 

  • Leboeuf, G., & Schwienbacher, A. (2018). Crowdfunding as a new financing tool. In The economics of crowdfunding,( pp. 11–28). Springer.

  • Li, X., Tang, Y., Yang, N., Ren, R., Zheng, H., & Zhou, H. (2016). The value of information disclosure and lead investor in equity-based crowdfunding: An exploratory empirical study. Nankai Business Review International.

  • Lukkarinen, A., & Schwienbacher, A. (2023). Secondary market listings in equity crowdfunding: The missing link? Research Policy, 52(1), 104648.

    Article  Google Scholar 

  • Lukkarinen, A., Teich, J. E., Wallenius, H., & Wallenius, J. (2016). Success drivers of online equity crowdfunding campaigns. Decision Support Systems, 87, 26–38.

  • Marra, G., & Radice, R. (2011). Estimation of a semiparametric recursive bivariate probit model in the presence of endogeneity. Canadian Journal of Statistics, 39(2), 259–279.

    Article  Google Scholar 

  • McKenny, A. F., Allison, T. H., Ketchen, D. J., Jr., Short, J. C., & Ireland, R. D. (2017). How should crowdfunding research evolve? A survey of the entrepreneurship theory and practice editorial board. Entrepreneurship Theory and Practice, 41(2), 291–304.

    Article  Google Scholar 

  • Meoli, M., & Vismara, S. (2021). Information manipulation in equity crowdfunding markets. Journal of Corporate Finance, 67, 101866.

    Article  Google Scholar 

  • Mochkabadi, K., & Volkmann, C. K. (2020). Equity crowdfunding: A systematic review of the literature. Small Business Economics, 54(1), 75–118.

    Article  Google Scholar 

  • Mollick, E. (2014). The dynamics of crowdfunding: An exploratory study. Journal of Business Venturing, 29(1), 1–16.

    Article  Google Scholar 

  • Nadauld, T. D., Sensoy, B. A., Vorkink, K., & Weisbach, M. S. (2019). The liquidity cost of private equity investments: Evidence from secondary market transactions. Journal of Financial Economics, 132(3), 158–181.

    Article  Google Scholar 

  • Papavassiliou, V. G. (2013). A new method for estimating liquidity risk: Insights from a liquidity-adjusted CAPM framework. Journal of International Financial Markets, Institutions and Money, 24, 184–197.

    Article  Google Scholar 

  • Piva, E., & Rossi-Lamastra, C. (2018). Human capital signals and entrepreneurs’ success in equity crowdfunding. Small Business Economics, 51(3), 667–686.

    Article  Google Scholar 

  • Rossi, A., & Vismara, S. (2018). What do crowdfunding platforms do? A comparison between investment-based platforms in Europe. Eurasian Business Review, 8(1), 93–118.

  • Schwienbacher, A. (2021). Equity crowdfunding and capital formation for early stage firms. In The Palgrave Handbook of Technological Finance, (pp. 425–440).Springer.

  • Signori, A., & Vismara, S. (2018). Does success bring success? The post-offering lives of equity-crowdfunded firms. Journal of Corporate Finance, 50, 575–591.

    Article  Google Scholar 

  • Son Turan, S. (2015). Stakeholders in equity-based crowdfunding: Respective risks over the equity crowdfunding lifecycle. Journal of Financial Innovation.

  • Swildens, H. (2009). Venture capital secondary funds-the third exit option. Thunderbird International Business Review, 51(6), 511–518.

  • Vismara, S. (2021). Expanding corporate finance perspectives to equity crowdfunding. The Journal of Technology Transfer, 1–11.

  • Vismara, S. (2016). Equity retention and social network theory in equity crowdfunding. Small Business Economics, 46(4), 579–590.

    Article  Google Scholar 

  • Vismara, S. (2018). Information cascades among investors in equity crowdfunding. Entrepreneurship Theory and Practice, 42(3), 467–497.

    Article  Google Scholar 

  • Vismara, S. (2019). Sustainability in equity crowdfunding. Technological Forecasting and Social Change, 141, 98–106.

    Article  Google Scholar 

  • Vulkan, N., Åstebro, T., & Sierra, M. F. (2016). Equity crowdfunding: A new phenomena. Journal of Business Venturing Insights, 5, 37–49.

  • Walthoff-Borm, X., Schwienbacher, A., & Vanacker, T. (2018). Equity crowdfunding: First resort or last resort? Journal of Business Venturing, 33(4), 513–533.

    Article  Google Scholar 

  • Wang, W., Mahmood, A., Sismeiro, C., & Vulkan, N. (2019). The evolution of equity crowdfunding: Insights from co-investments of angels and the crowd. Research Policy, 48(8), 103727.

    Article  Google Scholar 

  • Wilde, J. (2000). Identification of multiple equation probit models with endogenous dummy regressors. Economics Letters, 69(3), 309–312.

  • Yasar, B. (2021). The new investment landscape: Equity crowdfunding. Central Bank Review, 21(1), 1–16.

  • Ziegler, T., Shneor, R., Wenzlaff, K., Suresh, K., Paes, F. F. d. C., Mammadova, L., Wanga, C., Kekre, N., Mutinda, S., & Wang, B., et al. (2021). The 2nd global alternative finance market benchmarking report.

Download references

Acknowledgements

The authors wish to thank Alexander Groh and Armin Schwienbacher and the conference participants of 38th International Symposium on Money, Banking and Finance, annual meeting of the European Research Group (Strasbourg, 2022), 7th Edition of the Digital Economics Summer School (Palaiseau, 2021), for their helpful comments.

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Appendix A

Appendix A

1.1 A.1: The optimal minimum level of long-term return needed to access to the secondary market in Cases A and B

In Case A, \({R^{sec}_\textbf{A}}^*\) is given by the following:

$$\begin{aligned}{} & {} {R}_{\textbf{A}}^{sec*}=\\{} & {} \!\!\frac{\frac{\sqrt{\left( {\delta }_{1}\!+\!{\delta }_{2}\right) {Hm}^{l}\left( {c\overline{R} }^{3}{\left( \overline{p }\!-\!b\left( 1\!-\!\overline{p }\right) \right) }^{2}\right) \left( cH\overline{R }\left( {\delta }_{1}\!+\!{\delta }_{2}\right) {m}^{l}\!+\!{\delta }_{2}\left( 1\!-\!\overline{p }\right) {n}^{c}\right) }}{cH\overline{R }\left( {\delta }_{1}\!+\!{\delta }_{2}\right) {m}^{l}\!+\!{\delta }_{2}\left( 1\!-\!\overline{p }\right) {n}^{c}}\!-\!\overline{R }\left( \overline{p }\!-\!b\left( 1\!-\!\overline{p }\right) \right) }{1\!-\!\overline{p} } \end{aligned}$$

The same variable in Case B, denoted \({R^{sec}_\textbf{B}}^*\), is given by the following:

$$\begin{aligned}{} & {} {R}_{\textbf{B}}^{sec*}=\\{} & {} \frac{\frac{\sqrt{{\delta }_{1}{Hm}^{l}\left( {c\overline{R} }^{3}{\left( \overline{p }\!-\!b\left( 1\!-\!\overline{p }\right) \right) }^{2}\right) \left( cH\overline{R}{\delta }_{1}{m}^{l}\!+\!{\delta }_{2}\left( 1\!-\!\overline{p }\right) \left( {n}^{c}\!+\!{Hm}^{l}\right) \right) }}{cH\overline{R}{{\delta }_{1}m}^{l}\!+\!{\delta }_{2}\left( 1\!-\!\overline{p }\right) \left( {n}^{c}\!+\!{Hm}^{l}\right) }\!-\!\overline{R }\left( \overline{p }\!-\!b\left( 1\!-\!\overline{p }\right) \right) }{1\!-\!\overline{p} } \end{aligned}$$

1.2 A.2: Numerical simulation

The optimal level of access to the secondary market depends on the set of parameters chosen.

One key parameter is the level of the cost of illiquidity for lead investors. In the model, we capture the cost of illiquidity with parameter c. With Lemma 1, we can see that Case B occurs when the cost of illiquidity does not matter (otherwise, Case A applies).

Considering first Case A, since the cost of illiquidity matters, the platform can open the secondary market completely, such that \(R_A^{sec*}=0\), or at least partially, such that \(0<R_A^{sec*}<R^{l*}\). In these cases, increasing the number of lead investors or their pledge leads to an increase in the proportion of entrepreneurial firms that are funded. The share of listed entrepreneurial firms may increase (because those new firms become listed) but may also decrease because the platform becomes more restrictive (some other entrepreneurial firms with low long-term returns are not listed anymore).

Considering now Case B, since the cost of illiquidity does not matter, the platform can completely close the secondary market such that \(R_B^{sec*}=\bar{R}\), or at least can open it partially, such that \(R^{l*}<R_B^{sec*}<\bar{R}\). In this last case, increasing the number of lead investors or their pledge leads to increase the share of funded entrepreneurial firms but to decrease the share of listed ones (because the new firms funded do not become listed).

To illustrate these results and give an order of magnitude, we denote by \(F^*\) the optimal share of funded entrepreneurial firms and by \(S^*\) the optimal share of those having access to the secondary market (among those funded). According to Figs. 5 and 6, we have the following:

$$F_i^*=\frac{\bar{R}-R_i^{l*}}{\bar{R}} +\frac{R_i^{l*}}{\bar{R}} \frac{n-T_{min}}{T_{max}-T_{min}}$$

with \(i\in [A,B]\)

$$S_A^*=\frac{\bar{R}-R^{l*}}{\bar{R} F_A^*}+\frac{R^{l*}-R_A^{sec*}}{\bar{R} F_A^*} \frac{n-T_{min}}{T_{max}-T_{min}}$$
$$S_B^*=\frac{\bar{R} -R_B^{sec*}}{\bar{R} F_B^*}$$

We have calibrated the parameters to match some empirical evidence: \(T_{min}=100\); \(T_{max}=340\); \(\bar{R} =10\); \(\delta _1=6\%\); \(\delta _2=1\%\); \(\bar{p} =0.6\); \(b=0.5\); \(C=20\); \(c=0.005\); \(n=200\); \(m_l=4\); \(H=60\). These parameters are compatible with Case B. We obtain \(R_B^{l*}=4.94\) and \(R_B^{sec*}=5.13\) meaning that 71.35% of entrepreneurial firms are funded and 68.26% of these have access to the secondary market.

Suppose now that the pledge of lead investors increases by 25% such that \(H=75\). We then obtain \(R_B^{l*}=4.74\) and \(R_B^{sec*}=6.00\) meaning that 72.5% of entrepreneurial firms are funded and 55.17% have access to the secondary market (among those funded). In other words, increasing the pledge of lead investors by 25% leads to a 20% decrease in the share of entrepreneurial firms listed.

Finally, suppose now a higher cost of illiquidity for lead investors such that \(c=0,1\). With these parameters (with \(H=60\)), we switch to Case A. We then obtain \(R_A^{l*}=7.024\) and \(R_B^{sec*}=1.14\) meaning that only 59.26% of entrepreneurial firms are funded and 91.26% of these have access to the secondary market.

In accordance with our results, the cost of illiquidity and the level of pledges significantly matter in the degree of secondary market openness.

1.3 A.3: Correlation matrix

Table 9 Correlation matrix

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Pommet, S., Rufini, A. & Torre, D. The role of lead investors in equity crowdfunding campaigns with a secondary market. Small Bus Econ 63, 243–273 (2024). https://doi.org/10.1007/s11187-023-00811-0

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