Contagion and regulation in endogenous bank networks

We develop a simple model of endogenous bank networks to study financial contagion and how leverage regulation may affect it. Banks maximize expected profit by choosing the optimal allocation of resources between three different classes of assets. An interbank network arise as result of loans between banks, creating a direct channel of contagion in the financial system. Contagion may occur when the realized return of the risky asset is sufficiently low to make a bank insolvent, subsequently triggering a cascade effect that propagates through default in interbank loans. Contrary to what would be expected, our results show that despite forcing banks to deleverage, increasing minimum capital requirements may lead to a system with higher aggregate levels of default.

Le secret bancaire et l'entraide internationale

Parmi les indicateurs de la mondialisation, le secret bancaire est au centre d'un débat animé en ce moment historique, caractérisé par la globalisation de l'économie, les exigences de sécurité croissantes, l'urgence de la lutte contre le blanchiment des capitaux provenant d’activités criminelles et l’internationalisation expansive des réseaux bancaires. La tendance vers le renforcement de la coopération internationale, met en discussion la forte sauvegarde du secret bancaire de plusieurs pays. La question dirimante est plutôt claire. Il s'agit, effectivement, de savoir jusqu'à quel point le secret, dans sa conception la plus inextensible et inflexible, devient par contre un instrument décisif pour contourner les règles communes,faire une concurrence déloyale sur les marchés et assurer des véritables crimes, par exemple de type terroriste. Pour faire évoluer les situations jugées problématiques, la démarche parallèle des trois organismes BÂLE, l’OCDE puis le GAFI est d’autant plus significative, qu’elle a été inspirée par les préoccupations exprimées au sein du G7 sur les dangers que présenteraient pour l’économie internationale certaines activités financières accomplies sur et à partir de ces territoires. L’ordre public justifie aussi la mise en place de mesures particulières en vue d’enrayer le blanchiment des capitaux provenant du trafic des stupéfiants. Selon les pays, des systèmes plus ou moins ingénieux tentent de concilier la nécessaire information des autorités publiques et le droit au secret bancaire, élément avancé de la protection de la vie privée dont le corollaire est, entre autres, l’article 7 et 8 de la Charte canadienne des droits et libertés et l’article 8 de la Convention européenne de sauvegarde des droits de l’homme et des libertés fondamentales du citoyen, et donc de l’atteinte à ces libertés. Nous le verrons, les prérogatives exorbitantes dont bénéficient l’État, l’administration ou certains tiers, par l’exercice d’un droit de communication et d’échange d’information, constituent une véritable atteinte au principe sacré de la vie privée et du droit à la confidentialité. Cette pénétration de l’État ou de l’administration au coeur des relations privilégiées entre la banque et son client trouve certainement une justification irréfutable lorsque la protection est celle de l’intérêt public, de la recherche d’une solution juridique et judiciaire. Mais cela crée inévitablement des pressions internes et des polémiques constantes,indépendamment de l’abus de droit que l’on peut malheureusement constater dans l’usage et l’exercice de certaines prérogatives.

A model of competition and interbank network formation

This work aims to understand the interaction between competition and network formation in the banking market. Combining Matutes and Padilla (1994) and Matutes and Vives (2000), we build a model of imperfect bank competition for deposits in which an interbank relationship network is a key strategic decision: it affects banks’ profit and risk position. The competition level exerts influence in the banking network structure since it affects the network outcomes. As result, we have that different competition levels imply different network topologies. Specifically, greater competition imply denser networks. Finally, when we allow for the possibility of collusion, the denser network can come out in the least competitive environment.

Creating and modelling personal socio-economic networks in on-line banking

The banking industry is observing how new competitors threaten its millennial business model by targeting unbanked people, offering new financial services to their customer base, and even enabling new channels for existing services and customers. The knowledge on users, their behaviour, and expectations become a key asset in this new context. Well aware of this situation, the Center for Open Middleware, a joint technology center created by Santander Bank and Universidad Politécnica de Madrid, has launched a set of initiatives to allow the experimental analysis and management of socio-economic information. PosdataP2P service is one of them, which seeks to model the economic ties between the holders of university smart cards, leveraging on the social networks the holders are subscribed to. In this paper we describe the design principles guiding the development of the system, its architecture and some implementation details.

SOA for business networks - service delivery framework

The next generation of SOA needs to scale for flexible service consumption, beyond organizational boundaries and current B2B applications, into communities, eco-systems, and business networks. In the wider and, ultimately, global settings, new capabilities are needed so that business partners can efficiently and reliably enable, adapt, and expose services where they can be discovered, ordered, consumed, metered, and paid for, through new applications and opportunities, driven by third parties in the global "village". This trend is already underway, in different ways, through various early adopter market segments. For the small medium enterprises segment, Google, Intuit-Microsoft, and others have launched appstores, through which an open-ended array of hosted applications are sourced from the development community and procured as maketplace commondities. In the corporate sector, the marketplace model and business network hubs are being put in place on top of connectivity and network orchestration investments for capitalizing services as tradable assets, seen in banking/finance (e.g. American Express Intelligent Marketplace), logistics (e.g., the E2open hub), and the public sector (e.g., UK DirectGov whole-of-government citizen services delivery).

Improving retail banking staff incentive systems

This Work Project seeks to analyze the viability, utility and best way of implementing mechanisms of double accounting and of insertion of low (or null) sales objectives in an incentives program. The main findings are that both processes are possible and to a certain extent advisable, although in very specific ways and with some limitations. Double accounting processes are especially effective between different segments and networks and should have a greater impact in the first evaluation periods of each case and the null objectives, albeit usable, are recommended to be always substituted by positive objectives, even if quite small. Moreover, it is concluded that the formal structure of the incentives program influences significantly these concepts, namely concerning the duration of the evaluation periods and the interaction of the objectives of different entities for both the vertical (hierarchic) and horizontal (individual and collective) levels.

An overview of the use of neural networks for data mining tasks

In the recent years, the area of data mining has been experiencing considerable demand for technologies that extract knowledge from large and complex data sources. There has been substantial commercial interest as well as active research in the area that aim to develop new and improved approaches for extracting information, relationships, and patterns from large datasets. Artificial neural networks (NNs) are popular biologically-inspired intelligent methodologies, whose classification, prediction, and pattern recognition capabilities have been utilized successfully in many areas, including science, engineering, medicine, business, banking, telecommunication, and many other fields. This paper highlights from a data mining perspective the implementation of NN, using supervised and unsupervised learning, for pattern recognition, classification, prediction, and cluster analysis, and focuses the discussion on their usage in bioinformatics and financial data analysis tasks. © 2012 Wiley Periodicals, Inc.

Bank networks and firm credit: an agent based model approach

Starting from the idea that economic systems fall into complexity theory, where its many agents interact with each other without a central control and that these interactions are able to change the future behavior of the agents and the entire system, similar to a chaotic system we increase the model of Russo et al. (2014) to carry out three experiments focusing on the interaction between Banks and Firms in an artificial economy. The first experiment is relative to Relationship Banking where, according to the literature, the interaction over time between Banks and Firms are able to produce mutual benefits, mainly due to reduction of the information asymmetry between them. The following experiment is related to information heterogeneity in the credit market, where the larger the bank, the higher their visibility in the credit market, increasing the number of consult for new loans. Finally, the third experiment is about the effects on the credit market of the heterogeneity of prices that Firms faces in the goods market.