2,539 research outputs found
Crowdfunding: disintermediated investment banking
This paper introduces crowdfunding as a concept and model for the evolution of investment banking. Crowdfunding, an application of crowdsourcing, is defined as one partyâs attempt to finance a project by offering three types of investment opportunities to potential investors. The investment opportunities are donations, passive investments, and active investments. From this foundation I develop a model in which interdependent agents operate in a dynamic, discrete setting. Potential investors decide whether or not to invest in one of three opportunities each period while the entrepreneur sets the parameters of the game to maximize the probability of successful financing. I then simulate the model to analyze the effects changes in key parameters have on the results of the game.crowdfunding, crowdsourcing, network, finance, banking, relationship, evolution, investment, commercial, customer, participation
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model
Well begun is half done. In the crowdfunding market, the early fundraising
performance of the project is a concerned issue for both creators and
platforms. However, estimating the early fundraising performance before the
project published is very challenging and still under-explored. To that end, in
this paper, we present a focused study on this important problem in a market
modeling view. Specifically, we propose a Graph-based Market Environment model
(GME) for estimating the early fundraising performance of the target project by
exploiting the market environment. In addition, we discriminatively model the
market competition and market evolution by designing two graph-based neural
network architectures and incorporating them into the joint optimization stage.
Finally, we conduct extensive experiments on the real-world crowdfunding data
collected from Indiegogo.com. The experimental results clearly demonstrate the
effectiveness of our proposed model for modeling and estimating the early
fundraising performance of the target project
Innovative online platforms: Research opportunities
Economic growth in many countries is increasingly driven by successful startups that operate as online platforms. These success stories have motivated us to define and classify various online platforms according to their business models. This study discusses strategic and operational issues arising from five types of online platforms (resource sharing, matching, crowdsourcing, review, and crowdfunding) and presents some research opportunities for operations management scholars to explore
Competition in financial services
In the financial services sector, the failure of a single institution can have a compounding effect on the sector, and on national and global economies. In particular, there is systemic risk from inter-institution lending, and this effect is more complex in Australia due to the small number of major players.
In retail banking in Australia, following a similar practice in most developed countries, if an unsecured creditor is a retail depositor, their deposit is insured by the government. That is, if a retail bank fails, the Federal Government will make the depositors whole.
The regulatory system, particularly the prudential regulatory system, is designed to protect depositorsâ and borrowersâ interests, and this protects the interest of the government. The effect is that regulatory policy on banking has prioritised stability in consideration of the sovereign risk associated with the risk of retail bank failure.
However, this approach also creates a policy dilemma. The dilemma concerns the extent to which the retail banking sector can attain the benefits of the vigorous rivalry from effective and efficient competition, without unduly risking stability and the potential of a devastating call on the public purse.
Specifically, in the context of effective and efficient competition, there is limited competitiveness in retail banking in Australia. This is reflected in the static state of market share between the four major banks, and very slow and marginal improvements gains even by strong second tier competitors. Furthermore, the retail banking sectorâs capacity for product and service innovation is limited.
Although the absence of vigorous rivalry is conducive to stability within the retail banking sector, it is likely to detract from the welfare of retail banking consumers. Furthermore, the level of innovation may not be as high as is feasible and barriers, including prudential regulatory barriers to entry or expansion, mean that the extent of rivalry is unlikely to change without some form of promotion of competition.
The paper consequently makes a four-point recommendation for the removal of the âfour pillarsâ policy:
The four major banks are protected by an implicit government guarantee that impacts market operation with little observable benefit to consumers, and may be a source of consumer disutility.
The four pillars policy has prompted increased vertical integration within the sector, particularly in the area of mortgage products.
There are sufficient merger protections provided by Part IV of the Competition and Consumer Act 2010 (Cth).
Competition and contestability arise when there are reasonably low barriers to entry and exit from the sector. It is not clear that low barriers to entry exist in Australia, and evidence to support this view comes from the failure of international banks to gain a significant toehold in the retail banking sector in Australia. One deterrent to entry is the regulatory focus on the four pillars.
The authors recognise that this position is at odds with the view of the Financial System Inquiry. However, the rationale in the report of the Inquiry was to prevent mergers, and the current competition law achieves this objective.
The paper recommends two specific policies to promote competition in retail banking without the structural intervention that would otherwise be required to improve the intensity of competition in the retail banking sector:
Introduce bank account number portability. This would use âknow your customerâ and central database systems in a similar form to those that have been used for mobile number portability in Australia for the last decade and a half.
Introduce customer access to data held by banks to allow third parties to compare bank offerings across all banks.
Significantly, these two recommendations are consistent with the productivity proposals issued by the UK Government in July 2015.
The research paper also examines crowd equity funding as a disruptive force in the banking sector, and recommends that crowd equity funding be permitted with the following safeguards:
ASIC should take an active role in monitoring crowd equity funding and be willing to sue in case of fraudulent action.
Any intermediary online platform should have a financial services licence with limited duty of care.
There should be a cap for business raisings through crowd equity funding of $2 million in a 12-month period.
Crowd equity funding is a social phenomenon. Through its use of social media, it has attracted people who have previously never been interested in investing in companies. Instead of being feared, this interest should be nurtured through the promotion of investorsâ financial education
Mutually Exciting Point Processes for Crowdfunding Platform Dynamics
Crowdfunding is a powerful tool for individuals or organizations seeking
financial support from a vast audience. Despite widespread adoption, managers
often lack information about dynamics of their platforms. Hawkes processes have
been used to represent self-exciting behavior in a wide variety of empirical
fields, but have not been applied to crowdfunding platforms in a way that could
help managers understand the dynamics of users' engagement with the platform.
In this paper, we extend the Hawkes process to capture important features of
crowdfunding platform contributions and apply the model to analyze data from
two donation-based platforms. For each user-item pair, the continuous-time
conditional intensity is modeled as the superposition of a self-exciting
baseline rate and a mutual excitation by preferential attachment, both
depending on prior user engagement, and attenuated by a power law decay of user
interest. The model is thus structured around two time-varying features --
contribution count and item popularity. We estimate parameters that govern the
dynamics of contributions from 2,000 items and 164,000 users over several
years. We identify a bottleneck in the user contribution pipeline, measure the
force of item popularity, and characterize the decline in user interest over
time. A contagion effect is introduced to assess the effect of item popularity
on contribution rates. This mechanistic model lays the groundwork for enhanced
crowdfunding platform monitoring based on evaluation of counterfactual
scenarios and formulation of dynamics-aware recommendations
Financial Innovation and Sustainable Development in Selected Countries in West Africa
Financial innovation has given a new trend to modern financial system and its
importance has been widely recognized. This study investigated the effect of
financial innovation augmented with bank competition on sustainable development
in eight West African countries. Data were sourced from World Bank development
indicators from years 2000-2013. We used two proxies of competitions, two proxies
of financial innovations and regressed them on a growth indicator as well as
development indicator with other control variables. Using panel data estimations,
our results confirmed that an increase in banking efficiency driven by competition
and financial innovation would improve economic growth and development. While
the two proxies of competition were significant, the financial innovations were not
significant; one displayed a negative, while the other exhibited a positive relationship
with development. These results revealed the differential effects of different financial
innovations adopted in the financial system. That is, the growth effect of financial
innovation is sensitive to the choice of proxy. A reduction in demand for money
caused by financial innovations could deter economic growth and development. This
is because individuals would move away from more liquid assets to less liquid assets.
On the other hand, financial innovations could potentially lead to an increase in
money demand if payment systems improve and individualâs demand for more liquid
assets is channeled to productive sectors. We therefore concluded that policies which
would drive competition and efficiency in the banking industry as well as financial
innovation should be introduced to ensure effective functioning of the financial
system.Innowacje finansowe sÄ
nieodzownym elementem wspĂłĆczesnego systemu finansowego.
Badania zaprezentowane w artykule dotyczÄ
znaczenia innowacji finansowych
dla konkurencji bankowej oraz ich wpĆywu na zrĂłwnowaĆŒony rozwĂłj w oĆmiu krajach
Afryki Zachodniej i zostaĆy oparte na wskaĆșnikach rozwoju opracowanych przez
Bank Ćwiatowy z lat 2000-2013. W badaniach jako zmienne objaĆniane wykorzystano
wskaĆșnik wzrostu jak i rozwoju, a wĆrĂłd zmiennych objaĆniajÄ
cych znalazĆy siÄ miÄ-
dzy innymi dwie zmienne opisujÄ
ce konkurencyjnoĆÄ, dwie zmiennie okreĆlajÄ
ce innowacje
finansowe. Na podstawie analizy danych panelowych stwierdzono, ĆŒe wzrost
efektywnoĆci w systemie bankowym wywoĆany przez konkurencjÄ i innowacje finansowe
przyczynia siÄ do wzrostu gospodarczego i rozwoju. W modelach dwie zmienne
objaĆniajÄ
ce w zakresie konkurencyjnoĆci okazaĆy siÄ statystycznie istotne, natomiast
zmienne w zakresie innowacji finansowych nie byĆy istotne â jedna wykazywaĆa negatywny,
podczas gdy druga pozytywny wpĆyw na wskaĆșniki rozwoju. Badania ujawniĆy
zrĂłĆŒnicowane efekty innowacji finansowych zaadaptowanych w systemach finansowych,
co oznacza, ĆŒe efekt wzrostu wywoĆany przez innowacje finansowe jest wraĆŒ-
liwy na dobĂłr zmiennej objaĆniajÄ
cej. Zmniejszenie popytu na pieniÄ
dz wywoĆane
innowacjami finansowymi moĆŒe spowolniÄ wzrost gospodarczy i rozwĂłj. Wynika to
z faktu, ĆŒe osoby fizyczne mogÄ
konwertowaÄ swoje aktywa z bardziej pĆynnych na
mniej pĆynne. Z drugiej strony innowacje finansowe mogÄ
potencjalnie wpĆynÄ
Ä na
wzrost popytu na pieniÄ
dz jeĆŒeli system pĆatnoĆci zostanie usprawniony i indywidualny
popyt na bardziej pĆynne aktywa zostanie przeniesiony na sektor produkcyjny.
W zwiÄ
zku z tym stwierdza siÄ, ĆŒe w celu zapewnienia funkcjonowania efektywnego
systemu finansowego polityka powinna pobudzaÄ konkurencjÄ i efektywnoĆÄ w systemie
bankowym jak i innowacje finansowe
Quantifying Learning and Competition among Crowdfunding Projects: Metrics and a Predictive Model
The performance of a crowdfunding project is highly situational-dependent. In this study, we quantify the interactions between crowdfunding projects in order to understand how these interactions can help predict the performance of crowdfunding campaigns. Specifically, we utilize Natural Language Processing (NLP) techniques to create a semi-automated system to label the associated product for each crowdfunding campaign. We also propose three sets of metrics to measure how crowdfunding projects learn from and compete with each other. Finally, we propose a machine learning model and demonstrate that the proposed metrics and the proposed model outperform other combinations when predicting the performance of crowdfunding projects
Fintech report: an overview of the Iberian fintech market
The FinTech industry is quite dynamic and it has progressed beyond its early stages rapidly. FinTech can be defined as âorganizations that combine innovative business models and technology to enable, enhance and disrupt financial servicesâ (Hwa, 2019). This Work Project aims to analyse Portuguese and Spanish FinTechs and combine the findings in a comprehensive report of the Iberian FinTech ecosystem. This paper explains how that report was built and it is organized in four main parts: literature review, methodology, results and personal reflection. Additionally, limitations and recommendations for further research are presented in the end of the paper
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