Why does financial innovation occur




















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There are hundreds of startups with a lot of brains and money working on various alternatives to traditional banking. The ones you read about most are in the lending business, whereby the firms can lend to individuals and small businesses very quickly and — these entities believe — effectively by using Big Data to enhance credit underwriting. We are going to work hard to make our services as seamless and competitive as theirs.

And we also are completely comfortable with partnering where it makes sense Dimon Startups play an important role in changing the process and landscape of innovation activities Spender et al. Innovators outside the conventional system, such as startups, may have more freedom in experimenting with new ideas and methods and, should they succeed in achieving an important discovery, players from the conventional system who have weak ties to the innovators outside the system may achieve better results Rogers, Mohan shows that there are emerging signs of collaboration between banks and Fintech startups.

Behavioral theory is the third motor of development in institutional theory. The emphasis on the importance of behavioral theory in the study of financial innovation has been increasing since the financial crisis of Shiller, The behavioral model explains the interaction between financial innovation and the behaviors of participants in financial markets. Integrating elements from behavioral theory into financial innovations can have positive consequences for the management and design of new financial innovations Shefrin and Statman, and financial regulation Shiller, On the one hand, behavioral aspects could be perceived as a precondition for the emergence and diffusion of financial innovations.

For example, Bhatt suggests that trust is among the essential factors that contribute to the development of financial innovations since no financial innovation is possible without a general climate of confidence.

This is important because end-users of financial products and services can sometimes lack the knowledge and capabilities necessary to evaluate financial innovations and related information accurately. Therefore, there is a need for some form of assurance. Additionally, Salampasis et al.

On the other hand, financial innovations can induce certain behaviors in their adopters with positive or negative consequences. For example, a field study showed that farmers who faced uncertain weather conditions changed their behavior after the adoption of new risk management products.

The adoption of the new financial innovation induced farmers to invest more in higher sensitivity cash crops Cole et al. Santomero and Trester show that financial innovation can induce banks to increase their risk profile.

Shiller a discussed the development of private accounts for social security driven by behavioral roots. According to Stiglitz , institutional changes that took place in the period before the crisis induced markets to develop financial innovations and strategies that were short-sighted.

With the shift to short-termism, the natural selection laws ceased to be the driving force of market innovation. The last theory in the institutional model is regulation. Regulation can interact with the process of financial innovation in two ways. First, regulation can be a driver of financial innovation. For example, a new regulation can forbid banks or other institutions to engage in a certain financial activity.

To circumvent these regulations, banks can innovate to maintain their profits. Other forms of regulation-driven financial innovations are focused on avoiding capital requirements such as securitization. On the other hand, financial regulation can be reinforced to actively encourage market participants to develop beneficial and responsible financial innovations. Following the crisis, increasing attention has been paid to the role of regulation in designing mechanisms for responsible and social financial innovations.

Thus, regulation remains a crucial driver of the development and direction of financial innovations. Institutional theory holds when institutional changes and the structure of market interaction is the driving force of financial innovation development.

No assumption concerning the historical development course or economic factors is assumed in institutional theory. Institutional theory results are useful when cross-regional differences in financial innovation are observed. An outstanding example of how institutional factors can lead to the emergence of financial innovations is money market funds Wall, In and , banking acts were passed in the United States that gave the Federal Reserve the freedom to ceil interest rates paid by commercial banks on savings and time deposits.

This regulation is famously known as Regulation Q. This regulation created an institutional barrier for investors mostly small investors who sought interest payment on their deposits. To overcome this regulatory constraint, Bruce R. Bent and Henry B. Brown created an alternative in called a money market fund. The fund was named the Reserve Fund, and it offered services to investors who wanted to secure a modest rate of return on their cash and earnings.

Money market funds invested in low-risk securities that paid interest rates in line with market rates, such as certificates of deposit. As Regulation Q ceilings continued to fall behind market rates in the late s, investments in money market funds grew rapidly, and many more funds were created Fink, The previous section discussed the theories of development of financial innovations and the contingencies under which each development theory applies.

However, observed financial innovation processes may be more complex than any of these theories suggest because the development of an innovation can be triggered by an interplay among the theories Poole et al. Therefore, we posit that a good meta-theory of financial innovation must allow for inter-level combinations of the four theories to better account for the complexity of financial innovation processes. This section provides some examples of how the different models can be combined to explain the development of financial innovations under different conditions.

The following examples should encourage researchers to develop more detailed and complex models to better understand the process of financial innovation. In some cases, the life-cycle model can be extended to include institutional requirements instead of logical laws. For example, some financial innovations occur only after many law-making and regulation stages, in which case the regulation theory under the institutional theory can be adopted to better explain the financial innovation at hand.

An example of this could be the period between the introduction of the Glass Steagall and Gramm Leach Bliley Acts and the engagement of US commercial banks in securities markets and the introduction of financial innovations Walter, Additionally, although the life-cycle theory argues in favor of financial innovation being a continuous sequence of events, discontinuities could exist, and economic theory could help explain this inconsistency by assuming demand and supply factors Philippas and Siriopoulos, Finally, related to the life-cycle theory, evolutionary theory can be adopted to explain the logic where several enabling technologies in the space of possibilities can be assumed necessary for the next stage in the life-cycle of financial innovations Loreto et al.

In many cases, the development of financial innovations may be technologically feasible. Consideration of institutional aspects or institutional changes might be necessary before they can emerge.

For example, in analyzing the idea of radical financial innovations in macro risk management, Shiller, b argues that such financial innovations would be possible only if combining existing information technology with institutional aspects like behavioral finance is considered. The self-organization idea is associated with the life-cycle theory to explain the development of important financial innovations like stock exchanges, clearing houses, and fractional reserve banking, each of which has a long history and has emerged without direct government control see, for example, Campbell-Kelly, This paper proposes a new theoretical approach to the study of the financial innovation process using a meta-theoretic method.

The need for such a theory is justified by the increasing complexity and diversity of financial innovations, which makes it impossible to construct a single general theory for financial innovation. By relying on the research method proposed by Poole and Van de Ven , four ideal-type theories of financial innovation development are identified: life-cycle theory, evolutionary theory, economic theory, and institutional theory.

Each of these theories has rich scientific traditions, and they offer different interpretations of the financial innovation process.

The main advantage of the proposed meta-theory is that it makes it possible to construct contextualized explanatory models of different financial innovations without assuming any restrictive assumptions. The development of financial innovations can be more complex than any of the proposed four theories suggest, and the reason is the inter-level connections between the different development theories. The proposed meta-theoretic approach allows for combining different parts of each theory to construct more realistic and dynamic theories for financial innovation.

However, more research is needed to validate and extend the proposed framework. An extension could be to explore the inter-level relationships between the proposed theories, the criteria to be used when switching between models, and the weight to be assigned to each model in explaining a financial innovation. To some extent, this might seem reductionist and not a reflection of the likelihood of feedback loops or interdependencies among the proposed models.

Another extension that might be useful is to consider the role of complexity theory in the development of financial innovations. Concepts including non-linear dynamics, emergent phenomena, and networks deserve more investigation as potential explanatory models of financial innovation.

The proposed meta-theoretic framework is an innovative tool for academics and researchers that can be used to better understand and communicate financial innovation theory. Additionally, it can help managers and decision makers improve their decisions where financial innovation is concerned. The dynamic nature of financial markets, the increasing competition from Fintech startups, regulation, and the increasing complexity of consumer demand are factors that increase the need to communicate to managers how financial innovation occurs in a firm and the factors affecting its successful development.

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Richard Owen for his invaluable guidance, supervision and proof-reading support. Further, much appreciation goes to her husband Albert Kwame Arthur and her son Nyameye Woodruff Arthur for their cooperation and encouragement.

Her research interests are in the area of Entrepreneurship and Innovation. She declares that she has no competing interests. You can also search for this author in PubMed Google Scholar. Correspondence to Keren Naa Abeka Arthur. Reprints and Permissions.



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