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Market imperfections and crowdfunding

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Abstract

This article is the first one that considers the choice between the different types of crowdfunding and traditional financing under different types of market imperfections. In contrast to most existing literature, we focus on financial aspects of crowdfunding rather than on price discrimination between customers using a new approach on the demand side. The model provides several implications, most of which have not yet been tested. For example, we find that when asymmetric information is important, high-quality projects prefer reward-based crowdfunding. A low-quality firm may find it unprofitable to mimick this strategy as it will be taking more risk to achieve a threshold. This result is contradictory to the spirit of the results in Belleflamme et al. (Journal of Business Venturing: Entrepreneurship, Entrepreneurial Finance, Innovation and Regional Development, 29(5), 585–609, 2014), which finds that asymmetric information favours equity-based crowdfunding. In contrast to Belleflamme et al. (Journal of Business Venturing: Entrepreneurship, Entrepreneurial Finance, Innovation and Regional Development, 29(5), 585–609, 2014), in our model, crowdfunding does not have any ad-hoc non-monetary benefits.

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Notes

  1. See, for example, Salman (2016) or a global crowdfunding report on http://crowdfundbeat.com/2016/02/03/report-global-crowdfunding-market-2016-2020/

  2. Kickstarter website (June 1, 2016): https://www.kickstarter.com/help/stats?ref=about_subnav

  3. Moritz and Block (2014) and Kuppuswamy and Bayus (2015a) provide a review of the literature in this field. For international aspects of crowdfunding see, for example, Gabison (2015), Miglo (2017), or Hatfield (2017).

  4. (Booty 2017) Equity or reward-based crowdfunding? Hear from both sides to make your mind up. https://realbusiness.co.uk/scale-up-hub/2017/10/04/equity-reward-based-crowfunding-hear-sides-make-mind/

  5. https://www.floship.com/find-best-crowd-funding-source/

  6. The same approach is used in Belleflamme et al. (2014). This paper is probably the closest to ours as we discuss below. The addition of debt-based crowdfunding does not add significantly new results to our model. We provide a more detailed discussion about this later in the article.

  7. In Belleflamme et al. (2014) price discrimination is not possible in the absence of non-monetary benefits, and therefore both forms of crowdfunding yield exactly the same outcome as seeking money from a bank or large equity investors. Some research discovered, however, that the role of such non-monetary benefits in crowdfunding is negligible (see, for example, Cholakova and Bart 2015). In our model, there are no non-monetary benefits from crowdfunding but the benefits/costs of crowdfunding (compared to traditional financing) arise from natural features of crowdfunding such as market feedback, close connections between production and financing, moral hazard, asymmetric information etc. Note that overall, the focus of most existing theoretical papers on crowdfunding has been to exploit features of crowdfunding like the opportunity for the entrepreneur to price discriminate. However, recent literature finds empirically that market imperfections play a significant role in crowdfunding. Hence, our article mostly focuses on the latter.

  8. Among other things note, for example, that the proof of Lemma 5, which is crucial for Proposition 2, relies on numerical simulations, Section 4.2.2 is not finished and, as mentioned above, the case when the choice of crowdfunding type is part of the model is not analyzed.

  9. In most countries there is no formal regulation that can be used to force a company into bankruptcy in the case of crowdfunding (see, for example, Gabison 2015 or Moores 2015). There is a difference, however, between equity-based and reward-based crowdfunding. If the firm uses reward-based crowdfunding then the consumers are under the consumer protection law etc. (Gabison 2015). We consider this aspect in Section 5.

  10. Section 7 discusses model extensions and robustness with regard to the inclusion of fixed costs.

  11. All variables are described in Table 1.

  12. Some papers use the approach where, for example, there are individual customers with different demand functions (see, for example, Belleflamme et al. 2014 and Hu et al. 2014). Section 7 discusses the model’s robustness with regard to changes in the demand functions.

  13. Note that the focus of our paper is not on price discrimination between consumers (industrial organization approach). Most other papers that focus on reward-based crowdfunding have a separate pre-sale stage where the firm tries to receive information about consumers’ valuation before starting the retail stage. This scenario is well studied (at least compared to other approaches). Consumer’ valuation is common knowledge in our paper. So the focus is really on other features of crowdfunding such as private information about production cost in the case of reward-based crowdfunding or moral hazard issues that generate new results compared to existing literature. Note that in other papers too if one assumes that consumers’ valuation is common knowledge, the modelling of price decisions would be the same as in our paper i.e. it would make no sense to separate the pre-sale and retail stages (at least in terms of modelling price determination). Also note that informational interactions (and informational games) between the firm and market participants is a big part of our model. For example, the market feedback is modelled in Section 8 but rather than providing information about consumers’ valuation it provides valuable information for the firm in terms of improving the product quality in period 2 (in the case of the two-period model). Secondly, in many cases the retail stage does not even exist. The number of backers/funders is so large and the number of pre-orders is so large that the firm starts focusing on delivering these pre-orders immediately after the campaign ends and does not open it for further sales (see, for example, https://www.huffingtonpost.com/chris-shuptrine/kickstarter-crowdfunding-_b_9609322.html).

  14. This is a classic moral hazard idea (Jensen and Meckling 1976).

  15. In this section, there is no difference between AON and KIA since asymmetric information is related to the cost of production and there is no demand uncertainty. When using AON, the firm should just follow the rule regarding the choice of T established in Lemma 1. In fact, the same holds in all model variations in a one-period setting. Further, we consider a two-period variation with demand uncertainty for the firm’s product/service. In this case the risk of failure exists if the firm choses AON creating a difference between AON and KIA.

  16. Later we consider the case when asymmetric information exists regarding the demand for a firm’s product/service.

  17. See, for example, Diamond (1984).

  18. Also see Xue (2017).

  19. They focus on the choice between AON and KIA.

  20. In Section 7, we discuss an extension with a different “shock” function.

  21. The case where asymmetric information concerns the cost of production does not bring qualitatively different results compared to Section 3.

  22. Note that asymmetric information exists between a firm’s owners (founders) and investors (funders). So it directly affects the price of shares in the case of equity-based crowdfunding since it will be based on the funders’ beliefs about the firm’s type. It also directly affects the pre-sale price in the case of reward-based crowdfunding for the same reason.

  23. Chakraborty and Swinney (2017) find that a higher T can be used as a signalling device by high-quality firms. They focus on AON. We find that the relationship between a firm’s quality and the campaign goal is non-linear. More discussion is provided in Section 9.

  24. Proofs are available upon demand. Note that the calculations become much longer and technically more complicated, which is very typical for multiple type games with asymmetric information.

  25. We have analyzed a model’s variation that included the possibility of using debt-based crowdfunding. Under debt-based crowdfunding, the firm promises to return inital investments from funders with interest. We found that the main results of the model are not affected. Some slight differences exist. For example, when debt is risk-free (which can be the case without demand uncertainty) debt-based crowdfunding can be used as a signalling tool along with reward-based crowdfunding. However, in a more realistic scenario when demand is uncertain and debt is risky, the main result stands that favors reward-based crowdfunding. The same holds for the modelling moral hazard.

  26. A good example is capital structure theory. Most of the intuition published in textbooks for the last 50 years is based on models that consider each factor separately (pecking order theory for asymmetric inofrmation, trade-off thoery for taxes and bankruptcy costs etc.). For an example of capital structure theory review and the role of market imperfections see Harris and Raviv (1991) and Miglo (2011, 2016). Models combining several factors are much less popular and much more technically complicated though some researchers suggest that these types of models are a prominnet direction for future research. Also note that based on managers’ surveys, managers only support around 50% (see, for example, Graham and Harvey 2001) of basic theories, which means that the precentage of managers that use even more complicated ideas is even smaller. Crowdfunding theory is a much younger theory than capital structure theory so it is in the stage of its development where the quality and relative simplicity of its basic ideas are probably the most important objectives of its research along with managerial education on these ideas (see, for example, Loane et al. 2016).

  27. See also Ibrahim (2016) and Moores (2015) for a legal environment analysis regarding reward-basedcrowdfunding. Mollick (2015) empirically analyzes the percentage of failed firms that used reward-basedcrowdfunding.

  28. Xu et al. (2014), Block et al. (2016) and da Cruz (2016) empiricaly analyze different aspects of theinformational value of crowdfunding for entrepreneurs.

  29. Note that market feedback represents probably the most important community benefit of crowdfunding forthe firm (because it may increase its product quality and repsectively their future profits) as well as for fundersand customers who can enjoy higher quality products as a result of market feedback. Note also that we explicitymodel this mechanism in our model through providing better information to the firm in period 1, which allowsthem to improve their product’s quality in period 2 etc. Belleflamme et al. (2014) assume that there are someexogenously given community benefits in period 1 as a result of crowdfunding. As was mentioned previously,Cholakova and Bart (2015) find that non-monetary benefits do not play a singificant role for funders.

  30. Other traditional forms of entrepreneurial financing such as venture capital financing also have a high degreeof monitoring so the model can be applied to those cases as well.

  31. For example, it is well-known in capital structure theory that asymmetric information damages equity financing more than debt financing and that equity financing can not be used by a high-quality type as a signal of quality whereas in some cases debt financing can be used (Leland and Pyle 1977). So applying this example to Belleflamme et al. (2014), who claim that asymmetric information is more damaging for reward-based crowdfunding, it would be no surprise to find that a separating equilibrium where a high-quality firm uses reward-based crowdfunding does not exist or that there is a separating equilibrium where the high-quality firm uses equity-based crowdfunding.

  32. See, for example: http://crowdfunding.cmf-fmc.ca/facts_and_stats/how-likely-is-your-crowdfunding-campaign-to-succeed

  33. Otherwise, the market should place the probability 0 that h deviates to equity.

  34. Note that in period 1 the funders’ pre-orders are based on the belief that the quality of the product is average since itis a pooling equilibrium where all firms use the same strategy. In period 2, customers will be able to see the differencebetween high-quality and low-quality products.

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Acknowledgments

We are grateful to the SBEJ Editor and two anonymous referees for the very helpful comments. Also, many thanks to Peter Klein, Eleni Papagiannaki, Simona Mateut, Kevin Amess, Jason Pavunkovic, Kory Lippert, Alia Raza, Shane Smith, Michael Kidd, Jamie Grasman, Jonathon Dean, Melissa Toner, Erin Clark, the seminar participants at de Montfort University, Royal Economic Society 2018 and British Association of Finance and Accounting 2018 annual conferences, and all the participants of the numerous discussions on crowdfunding organized by www.journalofcapitalstructure.com website for their comments.

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Correspondence to Anton Miglo.

Appendix

Appendix

Proof of Proposition 1

After shares are sold, the firm chooses p (correspondingly q = ap) to maximize

$$ (1-\alpha )(p(a-p)+M-cq)-e(a-p) $$
(21)

subject to Mcq. Two cases are possible. If \(\frac {a+c+e\diagup (1-\alpha )}{2}\geq a-\frac {M}{c}\), we have\(p=\frac {a+c+e\diagup (1-\alpha ) }{2}\). Otherwise, we have a corner solution \(p=\frac {ca-M}{c}\). In both cases, under theoptimal strategy chosen by the firm M = cq.

The funders anticipate this and therefore M and α will be connected as follows:

$$ M=\alpha p(a-p)=c(a-p) $$
(22)

Then, we have:

$$\alpha =\frac{M}{p(a-p)}=\frac{c(a-p)}{p(a-p)}=\frac{c}{p} $$

Substituting this into Eq. 21, we get that the entrepreneur‘s expected profit is equal to

$$ (p-c-e)(a-p) $$
(23)

In the beginning, the entrepreneur selects α to maximize (23). The case where \(\frac {a+c+e\diagup (1-\alpha )}{2}<a- \frac {M}{c}\) is not optimal. The firm should increase M and α because of the following. Equation 23 is concave in p and \(p=\frac {a+c+e }{2}\) is an optimal p in Eq. 23. Further \(p=\frac {a+c+e\diagup (1-\alpha )}{2}\) is closer to the optimum than \(p=\frac {\text {ca}-M}{c}\). So, we have \(p=\frac {a+c+e\diagup (1-\alpha )}{2}\).

Using the above formula for p, Eq. 23 can be converted into

$$ \frac{(a-c)^{2}}{4}-\frac{e^{2}}{4(1-\alpha )^{2}}+\frac{e^{2}}{2(1-\alpha )} -\frac{\text{ea}}{2}+\frac{\text{ec}}{2} $$
(24)

If α = 0, Eq. 24 will be equal to \(\frac {(a-c-e)^{2}}{4}\). This is the same value that we under a reward-based crowdfunding scenario. When α is positive, the entrepreneur‘s profit under equity crowdfunding will be smaller since the derivative of Eq. 24 in α is negative. □

Proof of Proposition 2

Consider a situation where l selects reward-based crowdfunding and h selects equity-based crowdfunding. We have (all calculations are based on the symmetric information case for each type described in Section 2):

$$ {\Pi}_{h}=\frac{(a-c_{h})^{2}}{4} $$
(25)
$${\Pi}_{l}=\frac{(a-c_{l})^{2}}{4} $$

where πj is the equilibrium profit of type j. Also, we have (as follows from Lemma 1):

$$\alpha_{h}=\frac{4M_{h}}{(a-c_{h})^{2}+ 4M_{h}};M_{h}\geq \frac{ c_{h}(a-c_{h})}{2} $$

We will assume\(M_{h}=\frac {c_{h}(a-c_{h})}{2}\). The proof is similar for anyvalue of Mh. For simplicity weassume that Mh has the lowest value from the range of possible values. It can also be justified if moral hazard is present (as described in Sections 3 or 5) and therefore minimizing Mh mitigates the extent of moral hazard problems. Note that

$$ \alpha_{h}=\frac{2c_{h}}{a+c_{h}} $$
(26)

h does not have an incentive to mimick l since, as mentioned above, in this section, asymmetric information does not concernreward-based crowdfunding. So if h chose reward-based crowdfunding, it would have the same payoff as it would in equilibrium: \(\frac {(a-c_{h})^{2}}{4}\). Now suppose that l mimicks h and chooses equity-based crowdfunding instead. l’s profit πlh then equals

$$ {\Pi}_{\text{lh}}=(1-\alpha_{h})({pq}+M_{h}-c_{l}q) $$
(27)

In this equation, p and q are discussed below. Note that when l mimicks h, it has to sell a larger stake of equity in thefirm compared to the symmetric information case. Indeed, if l sells equity under symmetric information, we have

$$\alpha_{l}=\frac{2c_{l}}{a+c_{l}} $$

This is smaller than Eq. 26 because cl < ch. Note that the amount of funds raised will also be different than under symmetric information.

Two cases are possible. First,

$$ \frac{c_{h}(a-c_{h})}{2}>\frac{c_{l}(a-c_{l})}{2} $$
(28)

The left side of this condition shows the cost of production by type h under symmetric information and the right side shows that for type l. If (28) holds, l will be able to raise enough funds to produce an optimal quantity of goods. Indeed,the choice of p is determined by maximizing Eq. 27 under the condition that

$$ M_{h}\geq c_{l}q $$
(29)

Absolute maximum is \(p=\frac {a+c_{l}}{2}\) and if condition (28) holds, the constraint (29) will not be binded. Then,\({\Pi }_{\text {lh}}=(1- \frac {2c_{h}}{a+c_{h}})((\frac {a+c_{l}}{2}-c_{l})(a-\frac {a+c_{l}}{2})+c_{h}(\frac {a-c_{h}}{2}))\). After simplifications, we find that this is less than \( \frac {(a-c_{l})^{2}}{4}\) when\({c_{h}^{2}}-{c_{l}^{2}}<2a(c_{h}-c_{l})\). This holds because cl < ch < a.So l will not mimick h.

Second case is when Eq. 28 does not hold. In this case, l is not able to produce the quantity that would be optimal under symmetric information. Two situations are possible. 1.Mh = clq.Then

$$q=\frac{M_{h}}{c_{l}}=\frac{c_{h}(a-p_{h})}{c_{l}} $$

Since\(p_{h}=\frac {a+c_{h}}{2}\), this equals\(\frac {c_{h}(a-c_{h})}{2c_{l}}\). The entrepreneur’s profit then equals \({\Pi }_{\text {lh}}=(1-\frac {2c_{h} }{a+c_{h}})(a-\frac {c_{h}(a-c_{h})}{2c_{l}})\frac {c_{h}(a-c_{h})}{2c_{l}}\). This is less than\(\frac {(a-c_{l})^{2}}{4}\) because Eq. 28 does not hold and cl < ch. Indeed the inequality \({\Pi }_{\text {lh}}<\frac {(a-c_{l})^{2} }{4}\) canbe written as \( {c_{h}^{2}}(a-c_{h})^{2}(2ac_{l}-ac_{h}+{c_{h}^{2}})<(a-c_{l})^{2}{c_{l}^{2}}c_{h}(a+c_{h}) \). Here\({c_{h}^{2}}(a-c_{h})^{2}<(a-c_{l})^{2}{c_{l}^{2}}\) because Eq. 28 does not hold and \(2ac_{l}-ac_{h}+{c_{h}^{2}}<c_{h}(a+c_{h})\) because cl < ch.

2. Mh > clq. This is only possible if pcl. Otherwise, it makes no sense to keep unused cash because the production of extra units brings profit. In this case, the firm’s profit equals\((1-\frac {2c_{h}}{ a+c_{h}})c_{h}(\frac {a-c_{h}}{2})\). This is less than\(\frac {(a-c_{l})^{2}}{4 }\) becausecl < ch.

Therefore, l will not mimick h.

Now consider a situation where h selects reward-based crowdfunding and l selects equity-based crowdfunding. Suppose that h mimicks l and chooses equity-based crowdfunding instead. Using similar reasoning one can show that h’s profit πhl equals

$${\Pi}_{hl}=\left( 1-\frac{c_{l}}{a}\right)\left( a-\frac{c_{l}(a-c_{l})}{2c_{h}}\right)\frac{ c_{l}(a-c_{l})}{2c_{h}} $$

This is greater than Eq. 25 because cl < ch. Therefore, h will mimick l. This means that such an equilibrium does not exist.   □

Proof of Proposition 3.

Consider a pooling equilibrium where both types select reward-based crowdfunding, which is supported byoff-equilibrium market beliefs that the firm is h if the market participants observe equity-based crowdfunding.First of all, let us verify non-deviation for each type to equity-based crowdfunding. Since under pooling withreward-based crowdfunding l’s payoff is the same as in the separating equilibrium in Proposition 2, it follows from the proof of Proposition 2 that l does not deviate. h does not deviate because it gets the same amount as inequilibrium.

Let us now verify that off-equilibrium beliefs survive the intuitive criterion of Cho and Kreps (1987). To show this, let us calculate the maximal payoff of type h in the case that it plays equity-based crowdfunding. Its payoff is evidently maximized if the market’s beliefs place the probability 1 on type l observing equity. If off-equilibrium beliefs survive the intuitive criterion, this expression must be not less than the payoff of h inequilibrium.Footnote 33It follows from our analysis of the separating equilubrium above that the payoff of h will be higher than itsequilibtum payoff if the market places the probbaility of 1 on type l.

Now let us analyze the mispricing. First, note that there is no mispricing in the case of a pooling equilibrium with reward-based crowdfunding because the profit of both types of firms equals their profit under symmetric information. Consider pooling with equity-based crowdfunding. The payoff of type l is then\({\Pi }_{l}=(1-\frac {2c_{m}}{a+c_{m}})((\frac { a+c_{l}}{2}-c_{l})(a-\frac {a+c_{l}}{2})+c_{m}(\frac {a-c_{m}}{2}))\).This is less than \(\frac {(a-c_{l})^{2}}{4}\).   □

Proof of Lemma 2

Consider crowdfunding. After the shares are sold, the firm chooses p to maximize(1 − α)(γp(ap) + M − (c + b)q) subject to

$$ M\geq (c+b)q $$
(30)

It implies

$$ p=\frac{a+(c+b)/\gamma }{2} $$
(31)

The firm’s expected profit is \(\gamma p(a-p)=\gamma \frac {(a+(c+b)/\gamma )(a-(c+b)/\gamma )}{4}\). The funders‘ expected earnings should cover their investment cost or

$$ \alpha \left( \gamma \frac{(a+(c+b)/\gamma )(a-(c+b)/\gamma )}{4}\right)\geq M $$
(32)

Under the optimal solution the conditions (30) and (32) will be binded because the firm can always make α as small as necessary to satisfy them. Then we have

$$\alpha =\frac{(c+b)q}{\gamma \frac{(a+(c+b)/\gamma )(a-(c+b)/\gamma )}{4}}= \frac{2(c+b)}{\gamma a+c+b} $$

The entrepreneur’s expected profit equals

$$\begin{array}{@{}rcl@{}} && \left( 1-\frac{2(c+b)}{\gamma a+c+b}\right)\left( \gamma \frac{(a+(c+b)/\gamma )(a-(c+b)/\gamma )}{4}\right)\\ &&=\frac{(\gamma a-c-b)^{2}}{4\gamma } \end{array} $$
(33)

Consider bank loan financing. The firm maximizes γ (p (ap) − F) − (1 − γ)Bc(ap) subject to: pq = p(ap) ≥ cq = c(ap). F is the face value of debt.

The solution gives us

$$ p=\frac{a+c/\gamma }{2} $$
(34)

The comparison of Eqs. 31 and 34 leads to the first part of Lemma 2.

The banker’s expected payoff equals \(\gamma F=c(a-p)=c(a-\frac {a+c/\gamma }{ 2})=c\frac {a-c/\gamma }{2}\). It implies \(F=\frac {c(\gamma a-c)}{2\gamma ^{2}} \).

The firm’s profit equals

$$ {\Pi} =\frac{\gamma (a-c/\gamma )^{2}}{4}=\frac{(\gamma a-c)^{2}}{4\gamma } -(1-\gamma )B $$
(35)

The comparison of Eqs. 33 and 35 leads to the second part of Lemma 2.   □

Proof of Proposition 4

Consider crowdfunding. After the shares are sold, the entrepreneur decides whether to run away or start the production. If he decides to start the production, the firm chooses p to maximize(1 − α)(γp(ap) + Mcq) subject to

$$ M\geq cq $$
(36)

It implies

$$ p=\frac{a+c/\gamma }{2} $$
(37)

The firm’s expected profit is \(\gamma p(a-p)=\gamma \frac {(a+c/\gamma )(a-c/\gamma )}{4}\). The funders‘ expected earnings should cover their investment cost or

$$ \alpha \left( \gamma \frac{(a+c/\gamma )(a-c/\gamma )}{4}\right)\geq M $$
(38)

Under the optimal solution, the conditions (36) and (38) will be binded because the firm can always make α as small as necessary to satisfy them. Then we have

$$\alpha =\frac{cq}{\gamma \frac{(a+c/\gamma )(a-c/\gamma )}{4}}=\frac{2c}{ \gamma a+c} $$

Theentrepreneur‘s expected profit equals

$$ \left( 1-\frac{2c}{\gamma a+c}\right)\left( \gamma \frac{(a+c/\gamma )(a-c/\gamma )}{4}\right)=\frac{ (\gamma a-c)^{2}}{4\gamma } $$
(39)

If the entrepreneur decides to run away, his profit is equal to\(M=\text {cq}=c(a- \frac {a+c/\gamma }{2})=c\frac {a-c/\gamma }{2}\). This is not greater than (33) if

$$ c\leq \frac{\gamma a}{3} $$
(40)

Consider bank loan financing. The firm maximizes γ (p(ap) − F) − (1 − γ)Bc(ap) subject to pq = p(ap) ≥ cq = c (ap). F is the face value of debt.

The solution gives us \(p=\frac {a+c/\gamma }{2}\).

The banker’s expected payoff equals \(\gamma F=c(a-p)=c(a-\frac {a+c/\gamma }{ 2})=c\frac {a-c/\gamma }{2}\). It implies \(F=\frac {c(\gamma a-c)}{2\gamma ^{2}} \).

The firm’s profit equals

$$ {\Pi} =\frac{\gamma (a-c/\gamma )^{2}}{4}=\frac{(\gamma a-c)^{2}}{4\gamma } -(1-\gamma )B $$
(41)

The comparison of Eqs. 39 and 41 leads to the first part of Proposition 4.

If b > 0, condition (40) will be \(c+b\leq \frac {\gamma a}{3}\) or\( \gamma \leq \frac {3(b+c)}{a}\) and the firm’s profit under crowdfunding is

$$\frac{(\gamma a-c-b)^{2}}{4\gamma } $$

Then, one can compare this with Eq. 35; this leads to the second part of the proposition. If\(\gamma \leq \max \{\frac {3(b+c)}{a},\frac {4B-2ab- \sqrt {16B^{2}-16abB+ 4a^{2}b^{2}+ 6Bb^{2}}}{8B}\}\)

or \(\gamma \geq \frac {4B-2ab+\sqrt {16B^{2}-16abB+ 4a^{2}b^{2}+ 6Bb^{2}}}{8B}\) a bank loan is better than crowdfunding.   □

Proof of Lemma 4

Consider a situation where type l selects KIA and type h selects AON. First, we have

$$ {\Pi}_{h}=\frac{\pi (1+\pi )(a_{h}-c)^{2}}{4} $$
(42)
$$ {\Pi}_{l}=\frac{\pi (a_{l}-c)^{2}}{2} $$
(43)

where πj is the equilibrium profit of type j (all calculations are based on the symmetric information case for each type described in Section 6.1). Suppose that l mimicks h and chooses AON. We have

$${\Pi}_{\text{lh}}=\pi \left( \frac{(a_{h}-c)^{2}}{4}+\pi \frac{(a_{h}-c)^{2}}{4}\right) $$

Comparing this with Eq. 43, we find that the former is greater if

$$ \frac{1+\pi }{2}<\left( \frac{a_{l}-c}{a_{h}-c}\right)^{2} $$
(44)

Suppose that h mimicks l and chooses KIA. We have

$${\Pi}_{\text{hl}}=\pi \frac{(a_{l}-c)^{2}}{4}+\pi \frac{(a_{l}-c)^{2}}{4} $$

Comparing with Eq. 42, we find that h does not deviate if

$$ \frac{1+\pi }{2}\geq \left( \frac{a_{l}-c}{a_{h}-c}\right)^{2} $$
(45)

Note that conditions (44) and (45) can not hold simultaneously because π ≤ 1 and, therefore, this equilibrium does not exist.

The proof is similar for other cases so it is omitted for brevity.   □

Proof of Proposition 5

Consider a situation where type l selects KIA and type h selects AON. First, we have

$$ {\Pi}_{h}=\frac{\pi (1+\pi )(a_{h}-c)^{2}}{4} $$
(46)
$$ {\Pi}_{l}=\frac{\pi (a_{l}-c)^{2}}{2} $$
(47)

where πj is the equilibrium profit of type j (all calculations are based on the symmetric information case for each type described in Section 6.1). Suppose that l mimicks h and chooses AON. We have

$${\Pi}_{\text{lh}}=\pi \left( (p_{1h}-c)(a_{h}-p_{1h})+\pi \frac{(a_{l}-c)^{2}}{4}\right) $$

where\(p_{1l}=\frac {a_{l}+c}{2}\) and\(p_{1h}=\frac {a_{h}+c}{2}\).

We have

$${\Pi}_{\text{lh}}=\frac{\pi (a_{h}-c)^{2}}{4}+\frac{\pi^{2}(a_{l}-c)^{2}}{4} $$

Comparing this with Eq. 47, we find that the former is greater if

$$ \pi <2-(\frac{a_{h}-c}{a_{l}-c})^{2} $$
(48)

and, therefore, type l has no incentive to deviate.

Suppose that h mimicks l and chooses KIA. We have

$${\Pi}_{\text{hl}}=\pi \left( \frac{(a_{l}-c)^{2}}{4}+\pi \frac{(a_{h}-c)^{2}}{4}\right)+(1-\pi )\pi \frac{(a_{l}-c)^{2}}{4} $$

Comparing with Eq. 46, we find that h does not deviate if

$$ \frac{\pi }{2-\pi }>\left( \frac{a_{l}-c}{a_{h}-c}\right)^{2} $$
(49)

Note that conditions (48) and (49) do not contradict each other. It is because the right side of Eq. 49 is smaller than that of Eq. 48. Indeed, let \(x=(\frac {a_{l}-c}{a_{h}-c})^{2}\). Then, the following makes the comparison described in the previous sentence

$$x<2-\frac{1}{x}, $$

which always holds. For brevity, we omit the analys is of equilibrium and also the case where type l selects equity-based crowdfunding and type h selects AON.

Consider a situation where type h selects KIA and type l selects AON. First, we have

$$ {\Pi}_{h}=\frac{\pi (a_{h}-c)^{2}}{2} $$
(50)
$$ {\Pi}_{l}=\frac{\pi (1+\pi )(a_{l}-c)^{2}}{4} $$
(51)

Suppose that l mimicks h and chooses KIA. We have

$${\Pi}_{\text{lh}}=\pi \left( \frac{(a_{h}-c)^{2}}{4}+\pi \frac{(a_{l}-c)^{2}}{4}\right)+(1-\pi ) \frac{(a_{h}-c)^{2}}{4} $$

This is greater than Eq. 51because ah > al and π < 1. So, a situation where type h selects KIA and type l selects AON is not an equilibrium.

Finally, consider a situation where type h selects equity-based crowdfunding. We have

$${\Pi}_{h}=\frac{\pi (a_{h}-c)^{2}}{2} $$
$$ {\Pi}_{l}\leq \frac{\pi (a_{l}-c)^{2}}{2} $$
(52)

(if l selects KIA, Eq. 52 holds as an equality). Suppose that l mimicks h and chooses equity-based crowdfunding. l’s profit πlh then equals

$${\Pi}_{\text{lh}}=(1-\alpha_{h})(\pi p_{1l}(a_{l}-p_{1l})+\pi (p_{2l}-c)(a_{l}-p_{2l})) $$

where

$$\alpha_{h}=\frac{c}{c+\pi (a_{h}-c)} $$
$$p_{1l}=p_{2l}=\frac{a_{l}+c}{2} $$

Itimplies

$${\Pi}_{\text{lh}}=\left( 1-\frac{c}{c+\pi (a_{h}-c)}\right)\frac{\pi a_{l}(a_{l}-c)}{2} $$

This is greater than Eq. 52 because al < ah. Therefore, l will mimick h and such an equilibrium does not exist.   □

Proof of Proposition 6

Consider a pooling equilibrium where both types select KIA, which is supported by off-equilibrium market beliefs that the firm is l if the market participants observe AON or equity-based crowdfunding. First of all, let usverify non-deviation for each type to equity-based crowdfunding. h payoff in equilibrium is

$$ {\Pi}_{h}=\frac{\pi (a_{m}-c)^{2}}{4}+\frac{\pi (a_{h}-c)^{2}}{4} $$
(53)

where am = xah + (1 − x)al.Footnote 34 If h deviates to equity-based crowdfunding, it gets

$$ {\Pi}_{h}=(1-\alpha_{l})\left( \pi \frac{M_{l}}{c}\left( a_{h}-\frac{M_{l}}{c}\right)+\pi \frac{(a_{h}-c)^{2}}{4}\right) $$
(54)

where

$$\alpha_{l}=\frac{c}{c+\pi (a_{l}-c)} $$
$$M_{l}=\frac{c(a_{l}-c)}{2} $$

Note that it follows from Eq. 17 that \(M_{l}=\frac {c(a_{l}-c)}{2} <M_{h}=\frac {c(a_{h}-c)}{2}\) becauseal < ah, so h will not be able to produce the optimal quantity if h deviates to equity-based crowdfunding. Equation 53 is greater than Eq. 54 if

$$ (a_{m}-c)^{2}>\frac{\pi (a_{l}-c)^{2}(2a_{h}-a_{l}+c)-c(a_{h}-c)^{2}}{(c+\pi (a_{l}-c))} $$
(55)

So it holds if x and respectively am are sufficiently large. If h deviates to AON, it gets

$${\Pi}_{h}=\pi \left( \frac{(a_{l}-c)^{2}}{4}+\pi \frac{(a_{h}-c)^{2}}{4}\right) $$

This is less than Eq. 53 because alam so h does not deviate.

Off-equilibrium beliefs survive the intuitive criterion of Cho and Kreps (1987). The proof is omitted for brevity.

Now let us analyze the mispricing. Consider pooling with equity-based crowdfunding. h’s profit πh equals

$$ {\Pi}_{h}=(1-\alpha_{m})(\pi \frac{M_{m}}{c}(a_{h}-\frac{M_{m}}{c})+\pi \frac{(a_{h}-c)^{2}}{4}) $$
(56)

where

$$\alpha_{m}=\frac{c}{c+\pi (a_{m}-c)} $$
$$M_{m}=\frac{c(a_{m}-c)}{2} $$

Consider pooling with AON.

$$ {\Pi}_{h}=\pi (\frac{(a_{m}-c)^{2}}{4}+\pi \frac{(a_{h}-c)^{2}}{4}) $$
(57)

From the comparison of Eqs. 53 and 57, it follows that pooling with KIA dominates pooling with AON. Now let uscompare KIA and equity-based crowdfunding. Equation 53 is greater than Eq. 56 if

$$(a_{m}-c)^{2}(2\pi a_{h}-c-2\pi a_{m}+ 2\pi c)<c(a_{h}-c)^{2} $$

If x is sufficiently large, it holds. Indeed, in the extreme case when x = 1 and respectively am = ah, this condition becomes π < 1. This completes the second part of the proposition.

Now compare pooling with KIA with the separating equilibrium where h plays AON

$$\pi (\frac{(a_{h}-c)^{2}}{4}+\pi \frac{(a_{h}-c)^{2}}{4}) $$

This isgreater than Eq. 53 if

$$\pi >\frac{(a_{m}-c)^{2}}{(a_{h}-c)^{2}} $$

So, if x is sufficiently large, pooling with KIA dominates.   □

Proof of Lemma 5

Consider reward-based crowdfunding.

In period 2, the firm chooses p2 to maximize (p2c)(ap2), which gives \(p_{2}=\frac {a+c}{2}\).

In period 1, the firm maximizes (p1c)(ap1) − I subject to p1q1 = p1(ap1) ≥ I + cq1 = I + c(ap1). This condition means that the amount of pre-orders should cover the start-up cost (fixed costs and period 1’svariable costs).

Two cases are possible. If

$$ \frac{(a-c)^{2}}{4}\geq I $$
(58)

then \(p_{1}=\frac {a+c}{2}\).

The firm’s profit over the two periods equals

$$ {\Pi} =\frac{(a-c)^{2}}{4}-I+\frac{(a-c)^{2}}{4}=\frac{(a-c)^{2}}{2}-I $$
(59)

If Eq. 58 fails, the firm will not be able to raise the funds needed to launch production. When the required amount ofinitial investment is quite large, reward-based crowdfunding may not be an option.

The analysis of equity-based crowdfunding is omitted for brevity (it is very similar to the analysis in Section 6). □

Proof of Proposition 8

Consider a situation where l selects reward-based crowdfunding and h selects equity-based crowdfunding.

Consider firm h. Calculations are similar to those in Section 4. In period 2, the firm chooses p2 to maximize the entrepreneur‘s profit (1 − α) (γp2ch)(ap2), which makes \(p_{2}=\frac {a+c_{h}/\gamma }{2} \).

In period 1, after the shares are sold, the firm chooses p1 to maximize (1 − α)(γp1(ap1) + Mchq1) subject to

$$ M\geq cq_{1} $$
(60)

. It implies: \(p_{1}=\frac {a+c_{h}/\gamma }{2}\). The firm’sexpected profit in period 1 is \(\gamma p_{1}(a-p_{1})=\gamma \frac {(a+c_{h}/\gamma )(a-c_{h}/\gamma )}{4}\). The funders‘ expected earnings should cover their investment cost or:

$$ \alpha (\gamma \frac{(a+c_{h}/\gamma )(a-c_{h}/\gamma )}{4}+\frac{\gamma (a-c_{h}/\gamma )^{2}}{4})\geq M $$
(61)

Under the optimal solution, the conditions (60) and (61) will be binded because the firm can always make α as small as necessary. Then, we have

$$\alpha =\frac{c_{h}q_{1}}{\gamma \frac{(a+c_{h}/\gamma )(a-c_{h}/\gamma )}{4} +\frac{\gamma (a-c_{h}/\gamma )^{2}}{4}}=\frac{c_{h}\frac{a-c_{h}/\gamma }{2} }{\frac{\gamma a(a-c_{h}/\gamma )}{2}}=\frac{c_{h}}{\gamma a} $$

The entrepreneur‘s expected profit over the two periods equals

$$ (1-\frac{c_{h}}{\gamma a})(\frac{\gamma a(a-c_{h}/\gamma )}{2})=\frac{ (\gamma a-c_{h})^{2}}{2\gamma } $$
(62)

Consider firm l. In period 2, the firm choosesp2 to maximize (γp2cl) (ap2), which makes\(p_{2}=\frac {a+c_{l}/\gamma }{2}\). The firm’s expected profit in period 2 is \(\frac {\gamma (a-c_{l}/\gamma )^{2}}{4}\)

In period 1, the firm maximizes \(\gamma (p_{1}(a-p_{1})+\frac {\gamma (a-c_{l}/\gamma )^{2}}{4})-c_{l}(a-p_{1})\) subject to p1q1 = p1(ap1) ≥ clq1 = cl(ap1). The solution gives us \(p_{1}=\frac {a+c_{l}/\gamma }{2}\).

The firm’s profit over the two periods equals

$$ {\Pi}_{l}=\frac{\gamma (a-c_{l}/\gamma )^{2}}{4}+\frac{\gamma^{2}(a-c_{l}/\gamma )^{2}}{4}=\frac{\gamma (1+\gamma )(a-c_{l}/\gamma )^{2}}{ 4} $$
(63)

Suppose that l mimicks h and chooses equity-based crowdfunding instead. l’s profit πlh then equals

$$\begin{array}{@{}rcl@{}} {\Pi}_{\text{lh}}&=&(1-\alpha_{h})(\gamma p_{1l}(a-p_{1l})-c_{l}(a-p_{1l})\\&&+~\gamma p_{2l}(a-p_{2l})-c_{l}(a-p_{2l})) \end{array} $$

where

$$\alpha_{h}=\frac{c_{h}}{\gamma a} $$
$$p_{1l}=p_{2l}=\frac{a+c_{l}/\gamma }{2} $$

It implies

$$ {\Pi}_{\text{lh}}=(1-\frac{c_{h}}{\gamma a})\frac{\gamma a(a-c_{l}/\gamma )}{2}= \frac{(\gamma a-c_{h})(a-c_{l}/\gamma )}{2} $$
(64)

Equation 64 is smaller than Eq. 63 if the following holds:

$$ \frac{2}{\gamma (1+\gamma )}<\frac{\gamma a-c_{l}}{\gamma a-c_{h}} $$
(65)

The left side of this inequality is decreasing in γ and the right sideis increasing in γ. So, we havetwo cases. If\(\frac { a-c_{l}}{a-c_{h}}<2\), the condition (65) does not hold for 0 < γ ≤ 1, and a separating equilibrium does not exist. Otherwise, it holds if γ is sufficiently high.

Secondly, in order to have an equilibrium, h should not have an incentive to switch to reward-based crowdfunding. Inthis case, this is a trade-off between bankruptcy cost and the cost of moral hazard. If h switches to reward-basedcrowdfunding, its payoff equals

$${\Pi}_{\text{hl}}=\frac{\gamma (1+\gamma )(a-c_{h}/\gamma )^{2}}{4} $$

This is less than Eq. 62.

Consider a situation where h selects reward-based crowdfunding and l selects equity-based crowdfunding.

Consider firm l. Similarly to the above analysis, we have\(p_{1}=p_{2}= \frac {a+c_{l}/\gamma }{2}\),\(\alpha =\frac {c_{l}}{\gamma a}\) and the entrepreneur‘s expected profit over the two periods equals

$$ \frac{(\gamma a-c_{l})(a-c_{l}/\gamma )}{2} $$
(66)

Consider firm h. We have \(p_{1}=p_{2}=\frac {a+c_{h}/\gamma }{2}\).

The firm’s profit over the two periods equals

$$ {\Pi}_{h}=\frac{\gamma (1+\gamma )(a-c_{h}/\gamma )^{2}}{4} $$
(67)

Suppose that h mimicks l and chooses equity-based crowdfunding instead. h’s profit πhl then equals

$$\begin{array}{@{}rcl@{}} {\Pi}_{\text{hl}}=(1&-&\alpha_{l})(\gamma p_{1h}(a-p_{1h})-c_{l}(a-p_{1h})\\&+&~\gamma p_{2h}(a-p_{2h})-c_{l}(a-p_{2h})) \end{array} $$

It equals

$${\Pi}_{\text{hl}}=\frac{(\gamma a-c_{l})(a-c_{h}/\gamma )}{2} $$

This is greater than Eq. 67 because cl < ch, and therefore, suchan equilibrium does not exist.   □

Proof of Proposition 9

Consider reward-based crowdfunding. In period 2, the firm chooses p2 to maximize (p2cb)(srap2) which makes \(p_{2}=\frac {s_{r}a+b+c}{2}\) (all calculations are identical to those in Section 2.1. except that the cost equals c + b).

In period 1, the firm maximizes (p1bc) (ap1) subject to p1q1 = (p1c) (ap1) ≥ cq1 = c(ap1).

Two cases are possible. If

$$ (a-c-b)^{2}<4I $$
(68)

then the firm will not be able to raise enough funds to launch the production. Otherwise, we have\(p_{1}=\frac {a+c+b}{2}\).

The firm’s profit over the two periods equals

$$ {\Pi}_{r}=\frac{(a-b-c)^{2}}{4}+\frac{(s_{r}a-b-c)^{2}}{4} $$
(69)

Consider equity-based crowdfunding. In period 2, the firm chooses p2 to maximize (1 − α)(p2cb)(seap2), which makes \(p_{2}=\frac { s_{e}a+b+c}{2}\).

In period 1, the firm maximizes (1 − α) (p1bc) (ap1), which makes \(p_{1}=\frac {a+b+c}{2}\).

The firm’s profit equals

$${\Pi}_{e}=(1-\alpha )(\frac{(a-b-c)^{2}}{4}+\frac{(s_{e}a-b-c)^{2}}{4}) $$

Since

$$\alpha (\frac{(a-b-c)^{2}}{4}+\frac{(s_{e}a-b-c)^{2}}{4})=\text{cq} $$

wehave

$$ {\Pi}_{e}=\frac{(a-b-c)^{2}}{4}+\frac{(s_{e}a-b-c)^{2}}{4} $$
(70)

In the case of bank loan financing, we have \(p_{1}=p_{2}=\frac {a+c}{ 2}\).

The firm’s profit is

$$ {\Pi}_{b}=\frac{(a-c)^{2}}{2} $$
(71)

Since Eq. 69 is greater than Eq. 70, we have two cases. Resulting from the comparison of Eqs. 69 and 70, the firm prefers reward-based crowdfunding to equity-based crowdfunding because sr > se. As follows from the comparison of Eqs. 69 and 71, the firm selects reward-based crowdfunding if sr is sufficiently largeor b is sufficiently small. This is not surprising given that b reflects the degree of the moral hazard cost under crowdfunding and sr reflects the efficiency of market feedback. Otherwise, the firm takes a bank loan.

Let us now analyze the role of demand (a) on a firm’s decision-making. The firm is indifferent between reward-basedcrowdfunding and a bank loan if

$$\frac{(a-b-c)^{2}}{4}+\frac{(s_{r}a-b-c)^{2}}{4}=\frac{(a-c)^{2}}{2} $$

This equation can be rewritten as

$$ \frac{(a-b-c)^{2}}{2}+\frac{(s_{r}a-b-c)^{2}}{2}=(a-c)^{2} $$
(72)

Since this is a quadratic equation, it implies that for any given value of I, the firm selects equity-based crowdfunding if a is either very small or very large. Otherwise it takes a bankloan.

It was shown previously: the entrepreneur’s profits under the different strategies are equal to the following.

$${\Pi}_{r}=\frac{(a-b-c)^{2}}{4}+\frac{(s_{r}a-b-c)^{2}}{4}-I $$
$${\Pi}_{e}=\frac{(a-b-c)^{2}}{4}+\frac{(s_{e}a-b-c)^{2}}{4}-I $$
$${\Pi}_{b}=\frac{(a-c)^{2}}{2}-I $$

where subscript r stands for reward-based crowdfunding, e means equity-based crowdfunding and b means bank loan.

The firm is indifferent between reward-based crowdfunding and a bank loan if

$$ \frac{(a-b-c)^{2}}{2}+\frac{(s_{r}a-b-c)^{2}}{2}=(a-c)^{2} $$
(73)

The firm is indifferent between equity-based crowdfunding and a bank loan if

$$ \frac{(a-b-c)^{2}}{2}+\frac{(s_{e}a-b-c)^{2}}{2}=(a-c)^{2} $$
(74)

Also if

$$ (a-c-b)^{2}<4I $$
(75)

the firm will not be able to use reward-based crowdfunding. And if (acb)2 ≥ 4I, the firm prefers reward-based crowdfunding over equity-based crowdfunding. □

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Miglo, A., Miglo, V. Market imperfections and crowdfunding. Small Bus Econ 53, 51–79 (2019). https://doi.org/10.1007/s11187-018-0037-1

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