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10 December 2010

Banks and Information Technology: Complexity, Flexibility, and Interconnectedness‡

Matej Marinč* University of Ljubljana and ACLE

Abstract This paper analyzes whether banks are special in comparison to other firms in the use of information technology (IT). IT spurs communication, digitization of business processes and establishment of internet and mobile customer access channels. IT modifies core banking technologies and facilitates automatic loan processing, electronic payments, and clearing and settlement transactions. Similar to the situation in other industries, IT increases complexity in banking by increasing product variety and conglomeration. However, pronounced assetsubstitution problems may cause banks to become excessively complex in order to disguise risktaking. Banks may abuse the additional flexibility that IT facilitates to shift risks at short notice or even become too big to fail. Finally, developments in IT may lead to increased interconnectedness in banking with potentially adverse effects on systemic risk. Several examples from the 2007–2009 financial crisis are given.

_______________________ *

Faculty of Economics, University of Ljubljana, Kardeljeva ploščad 17, 1000 Ljubljana, Slovenia, e-mail:

[email protected], and Amsterdam Center for Law & Economics (ACLE), Faculty of Economics and Business, University of Amsterdam, Roetersstraat 11, 1018WB Amsterdam, The Netherlands, e-mail: [email protected].



Special thanks to Arnoud Boot, Igor Lončarski, Barbara Mörec, Peter Trkman and Razvan Vlahu for their comments.

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Electronic copy available at: http://ssrn.com/abstract=1723083

1. Introduction Not many things have reshaped the banking industry as much as information technology (IT) in the last few decades and the 2007-2009 financial crisis in the last few years. IT spurs communication within and across banks, allows for fast business process redesign and facilitates access to bank customers through internet and mobile access channels.2 Banks are also increasingly using IT in their core technologies, including automatic loan processing,3 electronic payments,4 and clearing and settlement transactions. This review seeks to determine what changes IT development may bring for banks. The banking industry is undergoing a major transition from a predictable and rigid industry into a complex, quickly evolving, and increasingly interconnected one. Are banks going too far in this transition and can IT developments be (partially) blamed for this? More specifically, does IT development in banking go hand in hand with increased instability? The importance of these issues is unquestionable and further highlighted by the 2007-2009 financial turmoil.5 Banks may become excessively complex due to IT development. Similar to the situation in other firms, IT development pressures banks to offer a variety of customized products and services, and to demand workers with advanced quantitative skills. However, the existence of explicit and implicit guarantees (e.g., deposit insurance, anticipation of bailout) may drive banks to take excessive risks. Banks may use IT developments to mask risk-taking through increased complexity. Banks may design complex products or transform themselves into highly opaque financial conglomerates that are too-complex-toregulate and/or too-complex-to-fail. IT also increases the speed of change in firms and even more so in banks. What makes banks different in this respect is their more pronounced risk-shifting incentives and the asset-substitution problem. Fast growth, facilitated by IT, may not only be a result of efficient operations but also of pronounced risk-taking, as the examples of Northern Rock and Icesave show. In addition, IT facilitates decisionmaking based on hard information. Although this yields additional flexibility, it also makes banks

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In a 2010 worldwide survey, KPMG (2010) found that 46% of respondents claimed that they had used mobile banking, compared to only 19% in 2008. In the U.S., 58% of respondents claimed that they used online banking in 2010 compared with 44% in 2004 (Pew Internet & American Life Project, 2010, 2004). 3 In 1998, only 62% of large U.S. banks (that responded to the survey) employed small business credit scoring techniques when lending to small businesses (Frame, Srinivasan, and Woosley, 2001). Today, the majority of large banks and an increasing proportion of small banks do this (Berger, Cowan, and Frame, 2009). 4 In the U.S., checks accounted for 46.4% of the total number of transactions in 2003, but only for 28.6% in 2007, whereas the use of debit cards increased from 20.2% to 30.6% (BIS, 2009, pp. 241–242). 5 Total bank writedowns between 2007 and 2010 are expected to reach $2.2 trillion (IMF, 2010a). In the period from January 2008 to October 2010, 275 banks failed only in the U.S. (FDIC, 2010). The real economies of the G7 countries shrank by 3.5% in real terms in 2009 (IMF, 2010b).

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Electronic copy available at: http://ssrn.com/abstract=1723083

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more footloose. Banks that excessively rely on hard information may weaken their relationships with depositors and borrowers. This may decrease stability. Another consequence of high flexibility is that banks imitate each other by following hypes and fads, which makes them even more interlinked. For example, banks and credit-rating agencies have employed quantitative default models based on large sets of historical data to predict the default probabilities of complex securities. The 2007–2009 financial crisis showed that these models systematically underestimated the probability of default, thereby creating large systemic exposure of the banking industry. Interconnectedness deserves special attention in banking due to the systemic risk that it creates. A failure of one bank may then trigger contagion by the entire banking system with adverse spillover effects for the entire economy. Banks seeking to maximize their own profits may disregard negative externalities of their failure. In this negative view, banks would use some IT solutions even though this may lead to excessive interconnectedness. Even more, banks may become too interconnected to fail, knowing that the regulator or government needs to bail them out to prevent a systemic crisis. This review seeks to merge three slightly separate strands of literature. First, it reviews the main characteristics of IT use from information systems literature (e.g., Melville, Kraemer, and Gurbaxani, 2004; Chiasson and Davidson, 2005). Second, it uses management and economics literature that discusses the impact of IT on changes in firm organization and structure (for a review, see Brynjolfsson and Saunders, 2010). Finally, it uses banking literature (e.g., Berger, 2003; Boot and Marinč, 2008) to discuss the special features of banks and their IT use and to give policy implications. This paper is organized as follows. Section 2 discusses the use of IT by banks. Section 3 analyzes the impact of IT on firm and bank complexity. Section 4 focuses on IT-induced flexibility. It is argued that IT developments have made banks more interlinked and the consequences for systemic risk are assessed. Section 5 concludes the paper with brief policy implications.

2. The use of IT IT has been widely adapted across business sectors and a range of uses. IT has surpassed the narrow definition in which: ―IT refers to the technological side of an information system. It includes the hardware, databases, software, networks and other devices‖ (Turban, McLean, and Wetherbe, 2002). In a broader concept IT can be defined as ―computers as well as related digital communication technology …‖ with powers to ―… reduce the costs of coordination, communications, and information

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processing‖ (Brynjolfsson and Hitt, 2000).6 Empirical evidence confirms (although not unanimously) that IT improves productivity.7 In banking, IT applications have vastly improved industry core technologies. In addition, general IT applications have facilitated communication, digitization of business processes, new customer channels of access, and information sharing.

2.1. Use of general IT applications in banking Communication, coordination, collaboration, and information availability: IT facilitates better communication within and across corporate borders. Interaction between employees and customers can flow directly through e-mails or indirectly through blogs and customer opinions (McAfee, 2006). Communication can be structured through constantly evolving corporate intranets, extranets, text messaging, corporate web sites, and information portals (Davenport, 2005). Within the bank, virtual teams surpass geographical distances (although time zones and cultural differences still affect communication; Lee-Kelley and Sankey, 2008). Communication across corporate borders is strong in banking. Banks have established highly secure communication standards such as SWIFTNet and EBICS to exchange a variety of information (e.g., account statements, securities holdings, and debit and credit payment orders) between themselves and other financial institutions. Automatic messaging systems (e.g., Loan/SERV) are becoming a standard in a syndicated loan market and facilitate communication between several banks when lending to a single large borrower. Banks increasingly exchange information about their retail and corporate borrowers through public credit registers and private information exchanges. IT developments such as the internet and IT tools (such as web browsers, aggregators, customer opinions, web wrappers – programs that extract machine-readable data from the Web) and IT architectures for information sharing have augmented the quantity of information that banks possess (Pan and Viña, 2004). Increased communication and greater information availability have improved the quality of bank operations. For example, the evidence shows that the existence of information exchanges (e.g., credit bureaus such as Dun & Bradstreet and Experian) improves the lending decisions of banks, reduces loan interest rates, and decreases loan defaults (Pagano and Japelli, 1993; Kallberg and Udell, 2003). Banks often compete fiercely in one market segment and cooperate closely in another. For example, banks may cooperate in a lending syndicate and voluntarily share information through credit registers, and at the same time compete fiercely for depositors. In addition, banks possess much valuable

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IT has been applied to wide range of business processes and products, has spurred innovations in other technologies, and has demonstrated great potential for constant improvement. All of these characteristics make it a general-purpose technology (Bresnahan and Trajtenberg, 1996; Jovanovic and Rousseau, 2005). 7 See Brynjolfsson and Saunders (2010) for a discussion.

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proprietary information that may create substantial damage when leaked. Consequently, carefully designed IT architecture for communication between banks and within banks is a must. Business processes: IT has provided support for coordinating and automating business and management processes within a bank and provided access to integrated data across the entire bank. IT software and infrastructure are combined to link bank products and services to customers, back office functions, and business units. In banking, special attention is given to risk management. Banks need to build internal processes that identify, measure, and mitigate risk to comply with regulatory standards. Risk-management systems need to provide automatic registration of risky events, allow for centralized risk oversight over the whole bank, provide decision support for risk mitigation, and have a framework for automatic reporting to regulators (Bamberger, 2010). Models for risk measurement and management have become increasingly complex due to developments in information technology and advances in quantitative finance (e.g., exponential growth in computation power and the BlackScholes model for option pricing). Value-at-risk and stress-testing are two the most commonly used models that require substantial IT support (Fender and Gibson, 2001; Jorion, 2006, p. 431). Online and mobile banking access channels: Banks are increasingly reaching their customers through online and mobile banking channels.8 The introduction of internet banking generally increases bank profitability.9 Internet banking also modifies the importance of other access channels. It acts as a complement to a branch network (DeYoung, Lang, and Nolle, 2007; Hernando and Nieto, 2007). Campbell and Frei (2010) showed that online banking induces replacement of marginally more costly self-service delivery channels (such as ATMs), augmentation of costly service delivery channels (branches and call centers), and an increase in transaction volume. The cost of services, customer retention, and market share increase due to the introduction of online banking.

2.2. Use of IT in core banking technologies As is shown next, IT has also substantially modified core banking technologies in both the back office and front office. As a result, the quality and variety of banking products and services has improved (Berger, 2003; Casolaro and Gobbi, 2007). Automatic loan processing and transaction lending techniques: IT spurred automatic loan processing based on hard quantifiable information about bank clients. Banks are increasingly using credit bureaus

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For a review of internet banking, see VanHoose (2009) and Frame and White (2009); for a review of mobile banking and mobile payments, see Mallat, Rossi, and Tuunainen (2004) and Dahlberg et al. (2008); for IT use in micropayments, see Hinds (2004). 9 For the evidence from Spanish and Italian banking, see Hernando and Nieto (2007) and Ciciretti, Hasan, and Zazzara (2009). DeYoung, Lang, and Nolle (2007) reported that U.S. community banks charged extra fees for services related to deposit accounts upon introducing the internet channel. Greater revenues more than compensated for the increase in wage expenses that these banks incurred.

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to gather information and using credit-scoring models to process it and approve the loan (Berger and Udell, 2006). For example, banks use credit-scoring models when approving mortgages, credit cards, and automobile credits to retail customers. Even lending to small and medium-sized enterprises (SMEs) has become increasingly digitized. Transaction lending techniques, such as financial statement lending, asset-based lending, fixed-asset lending, leasing, factoring, and small business credit scoring (SBCS) use quantifiable information to automatically process loans. Transaction lending gives a competitive edge to distant banks even though they may lack close personal contact with borrowers (Berger and Udell, 2006).10 SBCS is particularly IT intensive because it gathers and processes data from multiple sources. SBCS typically combines consumer data from the owner, small business data gathered by the financial institution, and data obtained through consumer and commercial credit bureaus. The empirical evidence shows that SBCS increases the availability of credit, the maturity and risk of credit, and the distance between the bank and the borrower (Berger, Frame, and Miller, 2005; Berger et al., 2005; Berger and Frame, 2007; Frame, Padhi, and Woosley, 2004; DeYoung, Glennon, and Nigro, 2008). Electronic payments & clearing and settlement transactions: The most evident and empirically quantifiable are the real effects of IT developments in payment systems and clearing and settlements. IT lowers transaction costs and spurs the development of new payment products.11 Paper payments such as cash and checks are increasingly being replaced by electronic payments such as debit and credit cards or by mobile payments. Humphrey et al. (2006) found that replacing the costly paperbased payment method with an electronic-based payment system and replacing branch offices with ATMs resulted in cost savings of 0.38% of the twelve EU nations’ GDP. IT and investment banking: IT is also important for banks when interacting with financial markets. Large investment banks in particular offer services such as custody of securities, clearing, securities lending, cash management, and reporting, which require substantial IT support (Channon, 1998; Schmiedel, Malkamäki, and Tarkka, 2006; see also Duffie, 2010 for further description of the business operations of large banks). Risk management that makes extensive use of IT is crucial in underwriting, over-the-counter derivatives, and off-balance sheet financing. Investment banks also engage in proprietary trading in primary and secondary markets and act as market makers. For trading activities, banks increasingly use algorithmic trading. That is, they trade automatically based on complex and often opaque algorithms through high-speed/frequency software engines.12

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Although SBCS was initially adopted by large banks, it has also recently been used by small community banks and in developing countries (Berger, Cowan, and Frame, 2009; de la Torre et al., 2010). 11 Banks are increasingly cooperating or even competing with telecommunications companies, payment processors and IT vendors for the electronic payment market. 12 See Hendershott, Jones, and Menkveld, 2010 for more on algorithmic trading.

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The following pages examine how IT changes complexity, flexibility, and interconnectedness.

3. IT and complexity IT has an impact on firm complexity in several dimensions.13 IT and its applications modify firm product variety, the complexity of job tasks, and firm conglomeration. It is argued that banks are no different in this respect; however, banks may become overly complex to mask their excessive risk taking.

3.1. Product variety, workers’ skills and diversification benefits Internet access channels and IT-induced information availability spur demand for product variety and customization. For example, aggregation of customers slashes storage costs. Information availability through browsers and customer opinions may boost demand for niche products (Anderson, 2006).14 IT affects the entire firm and its strategy: firms are moving towards more customized products (Bartel, Ichniowski, and Shaw, 2007). IT reduces the time of setting up a new production process, which allows for customized production. Innovative, made-to-order production further increases customization of products. Banks are no different. As mentioned in Section 2.2, banking has become a broad business with a multitude of different products and services. Banks increasingly rely on hard digitizable information. Leasing, factoring, asset-based lending, and fixed-asset lending have joined relationship loans. Brokered deposits and money market deposits are now offered alongside bank core deposits (Berger and Udell, 2006; DeYoung, Lang, and Nolle, 2007). Banks also cross-sell a wide array of services and products including payments, savings, and advisory services (de la Torre et al., 2010). Cost efficiencies due to IT have made possible microfinance loans and facilitated a variety of micropayment products.15 Banks also tailor their products and services to their clients’ needs and characteristics. An instructive example is complexity in mortgage lending. IT capabilities for data collection and mining allow mortgage lenders to sell complex and customized financial products to consumers and employ the information advantage with respect to the risk of consumers and the products offered (Willis, 2006). IT also increases the complexity of job tasks, together with the demand for workers with advanced problem-solving skills (Bartel, Ichniowski, and Shaw, 2007). Computers replace jobs that rely on rule-

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The structural complexity of a firm may be defined as the number of jobs or services performed, the number of departments, or the variety of specialists that work in a firm (Damanpour, 1996). 14 Bils and Klenow (2001) showed that product variety in the U.S. increased 1% per year from 1959 to 1999 and was accelerating in the last two decades. 15 For example, mobile banking can increase access to finance in developing countries for a previously unbankable population (Kapoor, Ravi, and Morduch, 2007).

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based tasks but are complementary for nonprocedural cognitive tasks (Autor, Levy, and Murnane, 2003). IT spurs employee productivity through enhanced cooperation (e.g., through virtual teamwork; Majchrzak et al., 2004), empowerment of employees and multitasking (Aral, Brynjolfsson, and Alstyne, 2007).16 In investment banking, the technical skills of employees became increasingly important along with the improvements in quantitative finance and IT developments. Because such codified skills could be learned at universities, the importance of long-term mentoring of new associates has declined (Morrison and Wilhelm, 2008). At the same time, the need for IT investments has been huge. The need for IT investment and demand for quantitative workers’ skills has driven the organizational change in investment banking. Before the 1980s, investment banks were organized in partnerships. A flat wage, the threat of being fired, and promised long-term gain for success worked together to retain capable new associates and nurture long-term mentoring (Morrison and Wilhelm, 2008). The decline in the need for mentoring and the need for investment forced investment banks to grow substantially and become publicly traded.17 The complexity in firms increased also through greater diversification. Firms that more intensively employ IT are slightly more diversified. In addition, diversified firms demand higher investment in IT (Hitt, 1999). IT increases performance of firms that follow multi-focused business strategies more than the ones that have a single focus (Tallon, 2007). Interestingly, the positive relation between IT and diversification is strong only for diversification in related activities and for moderate geographic diversification (Ravichandran et al., 2009). The rationale for the positive relation between diversification and IT may be the following. The costs of communication and coordination among business units are more pronounced for diversified firms than for specialized firms. Therefore the benefits of IT in lowering communication costs are the highest for diversified firms and when firm activities are related. In the unrelated activities, strategic controls (where the need for communication and coordination is high) are replaced by financial controls and IT is needed less (Liu, Ravichandran, 2008).18 Briefly, IT affects complexity. It increases product variety and customization. Workers need to become proficient in advanced technical and problem-solving skills, with the ability to work in

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Bresnahan, Brynjolfsson, and Hitt (2002) showed that IT is complementary to workplace reorganizations to more decentralized organizations, human capital investment, and the introduction of new products and services. Banks seem to be no different. IT investment related to consulting services, implementation services, training and education, and support services improves bank performance, but not direct IT investment in hardware and software (Beccalli, 2007). 17 The value of mentoring declines especially in trading departments in investment banks, where codified, quantitative knowledge seems to be the most important. Soft knowledge and therefore mentoring, however, can still be important in departments where relationship building with clients is still crucial, such as in wealth management, M&A, and private equity. 18 Rather than performed in-house unrelated activities can be outsourced. IT reduces the cost of communication with outside partners (Brews and Tucci, 2004). Firms can increase their focus and specialization, lower interfirm hierarchy, and increase external partnering.

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(virtual) teams and multitask. IT generally leads to greater benefits of diversification in related activities.

3.2. IT and conglomeration in banking The attractiveness of geographic diversification in banking increased due to IT developments. IT driven scale economies are present in back office operations. Studies have identified substantial ITbased cost reduction and economies of scale in processing electronic payments (Hancock, Humphrey, and Wilcox, 1999; Beijnen and Bolt, 2008) and in clearing and settlement systems (Schmiedel, Malkamäki, and Tarkka, 2006).19 Scale economies also derive from running a sizeable distribution network. For example, internet banking allows banks to reach more distant customers at practically zero marginal cost but at high initial investment. Big banks have both a greater capacity to make a large investment in IT and a larger customer base.20 Big banks adopted IT technologies much sooner and to a greater extent than small banks. Big banks gained an advantage in transaction lending technologies that rely on easily quantifiable, hard information, whereas small banks more often employ relationship lending, which uses soft information about local markets and soft person-to-person information about local borrowers.21 Big banks may rely less on ―soft‖ lending techniques than small banks because transmission of soft (i.e., unquantifiable) information through hierarchical and geographical distances within a bank is difficult (Stein, 2002; Liberti and Mian, 2009). IT developments have lowered information problems, especially within large banks. Berger et al. (2007) found that IT-induced technological progress increased the profitability of large, multimarket banks more than small community banks.22 The effect occurred through both greater revenues and lower costs, and it was especially pronounced for geographically dispersed large banks. Lower communication costs facilitate the ability to control branch managers from the parent bank. Through online banking, customers may be approached directly from the parent bank. In addition, ITenhanced methods for risk management and improvements in credit-scoring and data-mining techniques may (partially) shift the decision-making from a branch manager to the parent bank. Berger

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IT-induced economies of scale reach across national borders. In the future, technological improvements may further reduce the burden of various technical requirements, fiscal rules, and legal frameworks, and consequently decrease fragmentation in payment processing and the clearing and settlement industry. 20 DeYoung (2005) showed that internet-only banks, even though less profitable than brick-and-mortar banks, were able to realize substantial economies of scale. IT development may increase the importance of global branding (Wright, 2002) and trust (Brynjolfsson and Smith, 2000). 21 Big banks were also the first adopters of internet banking (Courchane, Nickerson, and Sullivan, 2002). 22 Large banks also gain a quality advantage over smaller competitors by having a denser branch network, by engaging in more advertising, and by having more employees at the branch level (Dick, 2007). Felici and Pagnini (2008) showed that IT allowed banks to easily open branches in more distant markets.

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and DeYoung (2006) found that parent banks control affiliate banks better, contributing to decreased agency costs of distance. They attributed this finding to technological progress. Parallel with Morrison and Wilhelm’s (2008) demise of the investment banking partnership, the increased importance of IT (high initial investment needed and greater codification of employee skills) may make small community banks inefficient and they may lose ground in competition with huge ITintensive banks. Small banks may need to redefine their models in this light. Small banks may be forced to increasingly focus on niche markets in a particular market segment, geographic region, part of the supply chain, or specific product.23 Not everything is grim for small(er) banks though. Empirical evidence points to the existence of diversification discount in which diversification in multiple activities destroys firm value (Leaven and Levine, 2007; Schmid and Walter, 2009). Big financial conglomerates may have entrenched themselves and bigger focus may be desirable in the future. The question is what makes conglomeration and increased complexity in banking special.

3.3. Costs of bank failure In banking, there exists another, a more negative explanation of why IT may spur greater complexity. Banks (and bankers) may intentionally increase complexity for their private benefit. They may bet on earning high profits and disguise the risks that they are taking. In banking, several implicit and explicit (government) guarantees encumber the control that bank investors (such as depositors) have over bank risk-taking. Deposit insurance is prevalent in banking and insured depositors have only a few incentives to monitor their bank’s risk. Even uninsured depositors may rely on implicit government bailout guarantees. Consequently, banks may have bigger incentives than non-financial companies to swiftly increase risk and the asset-substitution problem may be more pronounced. Additional key difference between banks and other firms is that bank failure creates huge negative externalities for the economy at large. A collapse of one bank may damage confidence in the financial system at large and may trigger a system-wide collapse or panic. If one bank goes bankrupt, deposit holders may interpret this event as a signal for the existence of solvency problems in the entire financial sector and react by massive withdrawal of funds. The social cost of bank failures may then be considerable. Bank failures can produce a sharp monetary contraction and induce a recession. Bank failures may reduce the supply of bank loans, which is especially detrimental to small- and medium-

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In e-banking small banks may provide localized services and information (e.g., links to important community information or specialized customer information); see Southard and Siau (2004).

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sized business financing (Hubbard, Kuttner, and Palia, 2002). The total collapse of a banking system might even cause a breakdown of the payment system and impair trade. Empirical research confirms that the costs of bank crises are high. In cross-country studies, Hoggarth, Reis, and Saporta (2002) assessed the costs at 15 to 20% of annual GDP.24 The broad economic importance of bank stability and considerable costs of bank instability to the economy at large justify the existence of extensive banking regulation. Deposit insurance prevents costly bank runs (Diamond and Dybvig, 1983) but needs to be accompanied by capital regulation. Capital regulation (e.g., Basel I, II and III capital requirements) aims to put bank capital at risk, giving banks incentives to correctly evaluate the risks of their operations. Capital regulation may then diminish the negative externalities of excessive risk-taking triggered by deposit insurance or other implicit government guarantees.

3.4. Excessive complexity in banking In the more negative view, banks may use IT support in calibrating complex risk-measurement and risk-management models and designing complex products in order to disguise excessive risk-taking. The complexity of loan agreements, which IT support enables, may, besides serving various needs and preferences of customers, also trick customers into signing a loan contract without knowing its detailed structure.25 For example, lending in mortgage markets was based on complex attributes of mortgages such as adjustable interest rates, postponed mortgage principle payment, and substantial prepayment fees, and did not require full documentation of ownership of assets and income (Mayer, Pence, and Sherlund, 2009). Borrowers had a hard time understanding the mechanics of complex mortgage terms (e.g., for adjustable-rate mortgages, see Bucks and Pence, 2008; Campbell, 2006) or were even under attack by predatory lenders (Engel and McCoy, 2002). The complexity of mortgage backed products was further increased due to misaligned incentives of mortgage originators. The incentives of mortgage originators were largely driven by increasingly frequent subsequent mortgage securitization. Mortgage lenders did not keep mortgages on their balance sheets, but followed an ―originate-to-distribute‖ model: mortgages were pooled together and were sold to investors on the capital markets. Because mortgage lenders did not cover the entire loss of default, they were eager to collect higher origination fees at the expense of deteriorating lending standards (Keys et al., 2010). Mayer, Pence, and Sherlund (2009) argued that the lack of correct incentives of mortgage originators and falling house prices were the main drivers of mortgage delinquencies in 2008.

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For a comprehensive survey on banking crises, see Allen and Gale (2007). A caveat should be made. IT is not the only driver for creating and disseminating complex products. Others may include quantitative models and the institutional framework. 25

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Several market participants were tricked by complex mortgage products and other structured financial products generated through the ―originate-to-distribute‖ model. These include credit-rating agencies, large insurance companies (monoliners), and regulators. Large investment banks were able to reverseengineer the models that credit-rating agencies used to rate collateralized debt obligations. For example, Standard & Poor’s provided a CDO Evaluator Manual on its website (Benmelech and Dlugoszb, 2008) and investment banks could use it to obtain the highest possible rating at minimum costs. Usually this also meant the highest inherent risk at the given rating. The combination of complex financial conglomerates, off-balance-sheet financing through SPVs and ABCP conduits also obscured the risks from the regulator. Calomiris and Mason (2004) showed that credit card securitization was used to circumvent capital regulation in ―regulatory arbitrage.‖ Acharya and Schnabl (2009) saw regulatory arbitrage as one of the culprits of the 2007–2009 financial crisis. The complexity of large financial conglomerates also created a too complex to fail problem. The systemic concerns may force the regulator to bailout the failed large financial conglomerate. 26 Worrisomely, banks may anticipate bailout and even become intentionally too complex to fail to ride on implicit bailout guarantees. IT solutions may help banks to (intentionally or unintentionally) reach this goal. In short, banks and other firms use IT to boost product variety, customization and diversification in related activities. However, banks may go too far in creating complex products and processes to hide the risks from borrowers, credit-rating agencies, regulators, and other capital market participants.

4. Speed of change Now the impact of IT on flexibility and the consequent repercussions for stability and interconnectedness will be evaluated.

4.1. IT induces change and flexibility The mere adoption of IT creates a huge change in a firm. Firms need to adopt IT swiftly together with the entire range of coordinated changes in organizational activities (Milgrom and Roberts, 1990). The use of IT may produce substantial economies of scale in only certain tasks. It is the manager’s responsibility to lead the reorganization of processes and jobs to increase productivity of employees. Autor, Levy, and Murnane (2002) analyzed two back-office departments of a bank that adopted check

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The controlled unwinding of a large financial conglomerate is especially difficult if it operates under different bankruptcy codes and under the authority of several regulators, if interconnections within the conglomerate are opaque, and if bank creditors (e.g., depositors, REPO creditors) abruptly terminate their funding (Squam Lake Working Group on Financial Regulation, 2009).

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imaging and optical character recognition software. They provided evidence that computer-based technology replaces numerous procedural or rule-based tasks. However, many tasks were unchanged and it was the manager’s role to see how these tasks would be organized in jobs. Specialized jobs were created in the Deposit Processing Department, but in the Exceptions Processing Department the development led to integration of tasks in one job. Several corporate IT systems (e.g., Enterprise resource planning systems) include templates for the business process design called best practices (Scheer and Habermann, 2000). Together with implementation of a corporate IT system, a firm can modify its current business practices to reflect the best business practices.27 The implementation of corporate IT systems equips firms with additional flexibility and agility to transform business processes and products as a response to unexpected changes in the corporate environment (Sambamurthy, Bharadwaj, and Grover, 2003).28 Enhanced communication, teamwork, and cooperation within the firm and across the firm borders provide a fruitful framework for constant modifications in business products and processes.29 Because business processes are digitized, innovations in business processes can be easily replicated across the entire firm (McAfee and Brynjolfsson, 2008). This creates substantial opportunities to quickly scale up advantage in the firm. In addition, the internet access channel allows for swift (and relatively cheap) adoption of changes in business products and immediate distribution to customers.30 Hitt, Keats, and DeMarie (1998) argue that firms need to obtain strategic flexibility in order to survive in an increasingly competitive business environment. Firms may not have much choice but to be prepared to enter and exit new markets immediately when opportunities and threats crystallize. In ITintensive industries competition has heated up and has become more of a ―win all or lose everything‖ situation (McAfee and Brynjolfsson, 2008).31 IT development has increased turnover of small firms and concentration of the industry in large firms. Saunders (2009) attributed this result to the

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Ramirez, Melville, and Lawler (2010) found synergies between IT and business process redesign as drivers for strategic organizational change that would positively affect the market value of a firm. The fit between business processes and IT is important (Trkman, 2010). 28 For example, service-oriented architecture (SOA) allows for service-based software components that are attached to independent functional units (Baskerville et al., 2010). These functional units may be located inside or even across corporate borders and may also provide a basis for designing flexible IT structures in traditionally rigid industries such as banking (Homann, Rill, and Wimmer, 2004). 29 However, already implemented IT systems may also act as inhibitors of change. Legacy IT systems usually use closed form architectures which are inflexible and force the bank to rely on a single IT vendor. This may impede the introduction of new financial products or removal of redundant work processes (Mazursky, 1989). 30 In the case of a bank branch network, potential changes require a substantial period of time and investment (e.g., due to education of employees). 31 The relationship goes in the other direction as well. IT investment is relatively more valuable in competitive and dynamic industries (Melville, Gurbaxani, and Kraemer, 2007).

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observation that large firms have used business process replication to gain economies of scale whereas small firms were operating in niche markets.

4.2. Risky growth strategy in banking Banks are becoming flexible institutions with the ability to transform their products and their business processes and to grow extraordinarily fast.32 This is very similar to other non-financial firms. What is different (or more pronounced) in banking is that flexibility may go hand-in-hand with (potential) instability and may be detrimental for the economy at large. Several examples from the 2007–2009 financial crisis demonstrate the role of IT applications in banks’ rapid and risky growth.33 The Icelandic bank Landsbanki realized extraordinary growth in the Netherlands and the UK by offering Icesave online savings accounts with attractive interest rates. In only five months of presence in the Netherlands, it raised €1.7b in approximately 130,000 accounts (de Moor, du Perron, and Krop, 2009, pp. 54, 56). The subsequent collapse of Landsbanki created a diplomatic dispute between Iceland and the UK and the Netherlands. Another example that shows the dangers of high growth is the collapse of the UK bank Northern Rock. Northern Rock’s assets on a consolidated basis grew more than six-fold from 1997 to 2006 (from £15.8 billion to £101.0 billion).34 During this period Northern Rock transformed from a building society with a limited geographical focus to an important nationwide player in the UK mortgage market. Rather than relying on branches Northern Rock employed IT based originate-and-distribute model. Nationwide distribution was enabled by the network of intermediaries (e.g., large firms of introducers and groups of smaller intermediaries) that relied on an online mortgage approval system. In 2006, 89% of all mortgage lending was performed through intermediaries and 90% of all intermediary business was conducted online.35 To finance this extraordinary growth, Northern Rock substantially increased its leverage, which made it sensitive to wholesale securitization markets and may be one of the main culprits in its demise (Shin, 2009). The systemic stability considerations necessitated government intervention and Northern Rock was subsequently nationalized.

32

Bank managers argued that continuously evolving regulation (e.g., IFRS and Basel II), outsourcing of IT personnel, systems, and processes and multi-channel access to products and services contribute towards more agile banks (Oosterhout, Waarts, and van Hillegersberg, 2006). 33 On the other hand, IT could also be used strategically to deter entry. Gan and Riddiough (2008) showed how government-sponsored enterprises (GSEs) in the mortgage market, such as Fannie Mae and Freddie Mac, could use their competitive advantage to deter entry into the industry. Credit-scoring techniques (which heavily used IT) have provided a scale advantage and GSEs were able to impose control through licensing agreements over mortgage sellers. GSEs forced retail mortgage originators to simply apply GSEs’ credit-evaluation models without revealing the precise mechanics of the models (see also van Order, 2001; Straka, 2000). 34 See Northern Rock Annual Report 1998, p. 31, and Northern Rock Annual Report 2006, p. 59. 35 Northern Rock Annual Report 2006, p. 34.

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The (negative) relationship between flexibility and stability in banking will now be further analyzed.

4.3. Flexibility, soft information, and instability in banking IT increases the importance of hard quantifiable information, giving banks greater flexibility but also contributing to their less stable footprint. The introduction of internet banking changes depositors’ behavior by facilitating the shift from relationship-oriented core deposits established through bank branches (e.g., checking accounts) towards more non-relationship finance (e.g., money market deposit accounts and brokered deposits; DeYoung, Lang, and Nolle, 2007). The non-relationship nature of deposits impacts bank stability. Relationship-oriented core deposits seem to be more stable than market-based deposits. Iyer and Puri (2010) provided evidence that depositors with longer relationships with the bank were less likely to withdraw funds in a bank run. Shin (2009) showed that in the demise of Northern Rock internet, telephone, offshore, and postal accounts were depleted to a much greater extent than the core branch deposits. In addition, the combination of the increasingly non-relationship nature of bank lending coupled with non-relationship market-based deposits may increase bank fragility (Song and Thakor, 2007). The internet delivery channel also reduces the availability of soft information that a bank would otherwise obtain through the person-to-person relationship at bank branches (Agarwal and Hauswald, 2008). Lending techniques that extensively use soft information, such as small-business lending, are less suitable for use over the internet than those that rely on quantifiable hard information such as credit card loans, auto loans, and mortgages. Banks that adopted internet banking realized an increase in credit card lending, invested more in off-balance sheet activities and had more diversified loan portfolios (DeYoung, Lang, and Nolle, 2007; Ciciretti, Hasan, and Zazzara, 2009). IT developments and reliance on hard information has spurred securitization of consumer loans (e.g., credit card, auto, and mortgage loans) and large business commercial papers. The dissemination of information through consumer credit bureaus together with better (and standardized) information processing led to lower information capture and greater marketability of consumer loans. Consequently, banks became more flexible but also lost their competitive advantage against other banks and against financial markets. Lost franchise values may go hand in hand with increased risk taking (Keeley, 1991; Martinez-Miera and Repullo (2010)).36 Banks that securitize a large part of their portfolios face an increased moral

36

Evidence from the mortgage industry is aligned with the view that IT makes banking a fast-evolving win-orlose industry with increased risk. Livshits, MacGee, and Tertilt (2010) showed that consumer bankruptcy

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hazard problem, which may result in lax screening standards and lazy monitoring (Gorton and Pennacchi, 1988; Berndt and Gupta, 2009). The evidence from the 2007–2009 financial crisis confirms the negative relationship between marketability and stability (Mian and Sufi, 2009; Keys et al., 2010). However, IT developments do not always yield greater marketability. In contrast to consumer loans, small business loans are rarely securitized, even though banks process them with transaction-lending techniques that use hard quantifiable information (such as SBCS). The rationale may be the following. Historic data about the performance of small business loans is rarely available and is bank-specific (Temkin and Kormendi, 2003). Banks, especially small ones, often combine SBCS with other lending techniques, including ones based on soft information. A rating agency involved in the securitization of small business loans therefore needs to assess the bank’s performance and its process of loan origination instead of the characteristics of the pool of small business loans. This is more costly. In addition, moral hazard issues pertain to servicing securitized small business loans (see also Berger and Frame, 2007). The high information content of small business loans persists. The role of IT determines its impact on loan marketability. In the case of consumer loans, IT mainly facilitates dissemination of information and, by doing this, increases marketability. In the case of SME loans, however, IT development mainly leads to better processing of information and to a lower extent to dissemination of information. Consistent with Hauswald and Marquez (2003), IT development increases the advantage of a bank that engages in monitoring of SMEs, decreasing marketability of small business loans. The recipe for overcoming the drawbacks of flexibility/marketability would be to further engage in relationship banking and use IT-induced flexibility to strengthen relationships with customers. Banks can constantly improve products and services, increase their variety, and adjust them to customer needs. For example, cross-selling is important for strengthening the relationship between a bank and its borrowers (de la Torre et al., 2010). In addition, cross-selling may increase the stability of a depositor base. Iyer and Puri (2010) found that depositors that also have loans at the same banks were less likely to run. Cross-selling therefore acts also as partial insurance against a bank run. In addition, banks should access their customers through multiple access channels and at different points in time. For example, banks should use internet banking complementary to a strong branch network to promote cross-selling of customized products and services. Indeed, flexibility may sometimes go hand in hand with stability and IT developments may help mediate information problems within banks. IT facilitates organizational practices (such as

increased in the U.S. due to two IT-related effects: lower transaction costs of lending and lower costs of bankruptcy.

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multitasking, teamwork, and job rotation) that may mitigate communication problems between bank employees.37

4.4. Excessive interconnectedness in banking Another danger of IT development in banking may crystallize. Excessive reliance on hard data can lead to ―footloose corporations‖ through greater marketability (Boot, 2009; Boot and Marinč, 2010). Following the hypes and fads that marketability spurs makes banks dependent on investor sentiment. This may increase volatility and reduce bank stability (Shleifer and Vishny, 2010). The pressure from the financial markets (e.g., due to information spillovers, Acharya and Yorulmazer, 2008) may force bank(er)s to herd which makes them more interconnected. For example, Gerding (2009) attributed major responsibility for the current financial crisis to the sophisticated risk-management strategies by financial institutions (see also Haldane, 2009). The default risk models that banks used relied substantially on historical data about loan delinquencies but failed to consider the incentives of mortgage originators and therefore underestimated defaults among borrowers (Rajan, Seru, and Vig, 2010).38 The error of models based on historical values is the highest when soft information about borrowers is more important than hard quantifiable information. Furthermore, such an error is systematic in nature and cannot be simply corrected by including more detailed historical values. One has to admit that IT is not directly responsible for the failure of default risk models. The main fault lies in an inappropriate use of IT solutions. What may be true, however, is that IT simplified the inclusion of a large amount of historical data. For example, sharing information through information registries or extracting machine-readable data from the Web may create systemic problems because banks would make decisions based on the same information. Incorporating human and economic incentives into algorithmic analysis is more difficult to perform. Rajan, Seru, and Vig (2010) called for the use of structural models instead of reduced-form statistical models (in a similar vein as used in monetary policy decision-making in the last decade; see Gali and Gertler, 2007). This may point to the current inefficiency of automated IT decision systems: they may generally perform well, but in the case of a drastic event they may break down. The events in the ―flash crash‖ confirm the problematic nature of automated IT systems. On 6 May 2010, the U.S. equity and futures markets fell by more than 5% and then quickly recovered. What is even more interesting is that several

37

Another such practice may be a rotation policy. Loan officers report more accurate information if they are faced with the threat of rotation (Hertzberg, Liberti, and Paravisini, 2010). 38 Another systematic mistake in default models may be disregarding exposure of securities to systemic risk (Coval, Jurek, and Stafford, 2009).

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stocks were traded at 1 cent per share, and several others for $100,000 per share, an event attributed to the combination of the large order from automatic execution program and algorithmic trading systems (CFTC and SEC, 2010). A failure of automated IT systems may deepen a systemic shock. Beck (2010) argued that banks were simply forced to disconnect their trading computers during the peak of the 2007–2009 financial crisis. The environment changed so much that relying on historical data was useless. In addition, the additional complexity was huge and computer models needed to be substantially reconfigured, which required time. Caballero and Simsek (2009) argued that weakening bank balance sheets increases interlinkages between banks. The complexity of such an environment drastically increases and liquidity in the system may evaporate, further exacerbating the complexity and interlinkages in the banking system. Complex IT-supported risk management systems that banks employ sometimes increase systemic risk even though they decrease the risk of an individual bank. For example, the diversification that risk management produces may lower the risk of the individual bank but may increase the systemic risk of several banks failing at the same time (Wagner, 2010). Adrian and Shin (2010) showed that investment banks adjust their leverage to business cycles due to their VaR management. This subsequently increases the volatility of security prices and market-wide volatility. Regulators should focus on the stability of the entire banking system instead of the stability of an individual institution and use risk-management systems (such as stress testing) themselves to control systemic risk.

4.5. Interconnectedness and decomposition of the value chain in banking IT-enhanced communication may facilitate outsourcing of non-core capabilities and lead to (partial) decomposition of the value chain.39 Outsourcing is common in the case of back-office business processes such as check clearing and payment processing, risk management and measurement systems, and IT systems.40 Outsourcing eases the complexity of individual bank but may create even direr systemic risk concerns. For example, banks increasingly rely on the credit assessment of credit-rating agencies. Credit-rating agencies drastically underestimated the default probabilities before the 2007–2009 financial crisis.41 In

39

IT and outsourcing are especially correlated in the case of high levels of input diversity, if the level of technological change is low and industry standards are present (Sahaym, Steensma, and Schilling, 2007). 40 Tas and Sunder (2004) positively assess offshore outsourcing of business processes in banking (e.g., overseas call centers for customer support) only if supporting tools and application software (e.g., virtual team rooms and active project plans) are of sufficiently high quality. IT outsourcing was prevalent in small U.S. banks, whereas large banks relied on internally-built IT systems (Ang and Straub, 1998). 41 In November 2007, S&P recalibrated its online LEVELS@default model in a way that default probabilities of non-documentation loans with low FICO scores increased by 60% (Standard & Poor’s, 2007).

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this sense, outsourcing of credit assessment to credit-rating agencies may have triggered systemic exposure of the entire banking system to the default risk models of a few mayor credit-rating agencies. This increased the interconnectedness of the banking industry.42 Security IT risks also increase the interconnection between banks. If a large credit card database is stolen then all banks (and customers’ trust in their security) may suffer at the same time. 43 In addition, if firms are connected through common IT architecture, the security of the network may depend on the weakest link, the strongest link, or the average link (Anderson and Moore, 2006), depending on how the investment in security systems is organized. Firms may invest in security on their own, the best firm may provide security, or firms may together work on security. Decomposition of the value chain may also lead to additional interconnectedness across banking, insurance and mutual fund industries, credit rating agencies and IT providers. Such interconnectedness may lead to unexpected spillovers of risks and contagion (Allen and Carletti, 2006). The 2007–2009 financial crisis clearly demonstrated the dangers of such interconnectedness. Over a span of eleven days (from 14 to 25 September 2008), the investment bank Merrill Lynch needed to be sold to Bank of America, the investment bank Lehman Brothers filed for bankruptcy, the insurance corporation AIG obtained heavy government support, and the savings bank Washington Mutual was seized by the Federal Deposit Insurance Corporation (see also Brunnermeier, 2009). It has been shown that IT may be one of the drivers of interconnectedness. Alternatively, banks may intentionally herd and increase interconnectedness, and one way of doing this may be to rely on common models and use common IT solutions. In this more negative view, IT may provide support for banks to become too interconnected to fail in order to exploit government guarantees.

5. Conclusions and brief policy implications IT spurs fundamental changes in banking. Banks are driven to become highly complex and mutually interlinked institutions with the ability to quickly change their products, services, and processes. What

42

In the securitization market, the impact of credit-rating agencies is not only direct by rating securitization tranches but also indirect by rating monoliners—insurance companies that insure the securitization tranches. Monoliners became indispensible for the existence of securitization markets, and their ability to offer credible guarantees depends heavily on themselves having AAA ratings. A failure of a monoliner then produces a chain reaction through banks active in a structured finance market. 43 Although there has been limited evidence of a systemic IT-induced failure, the increasing use of IT in banking may elevate the probability of such event. Nonetheless, there have been several individual failures: JP Morgan Chase’s online banking was down from 13 to 15 September 2010 (http://www.nytimes.com/2010/09/16/ business/16chase.html?scp=1&sq=chase%20outage&st=cse). On 5 July 2010, the IT outage at Singapore’s DBS bank lasted for seven hours and made ATMs unavailable. DBS bank has outsourced some of its IT operations to IBM. IBM has taken responsibility for the outage and attributed it to human error (http://www.ibm.com/news/my/en/2010/07/13/g766074l95026h58.html).

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makes banks special is their systemic importance for the economy at large and the consequent presence of implicit and explicit guarantees in banking. Exacerbated risk shifting and the assetsubstitution problem in banking have revealed a more negative picture of excessively increased complexity, interconnectedness, and banks’ ability to change quickly. Brief policy implications are now given. Banks may use IT support to provide excessively complex products and to hide the risks involved. Prudential regulation should limit redundant complexity. Elevating capital requirements across the board may streamline banks toward prudent risk taking. The regulator should surveil corporate governance mechanisms including the relationship between risk taking and pay for performance for core bank employees. This could shift the focus of regulation from hard data to human incentives. Anti-predatory practices in mortgage markets can be established. Prompt corrective action should facilitate timely intervention and special bank bankruptcy regime should allow for fast split up of different parts of the financial conglomerate. Large financial conglomerates should write their own resolution plans so called ―living wills.‖44 Such living wills should also deal with the transition or dissolution of bank information systems. Certain too risky activities can be separated from banks (see the Volcker rule in the Dodd-Frank Act that prohibits proprietary trading by banks for their own account). In banking flexibility has (also) a dark side. It may derail the key attribute of a bank: its stability. Moreover, it may work to increase interconnectedness by allowing banks to follow fads and hype, and thereby increase the volatility and systemic risk in banking. The regulator can promote responsible bank growth through higher capital requirements for systemically important banks 45 and/or through dynamic loan loss provisioning (i.e., by acknowledging already incurred and anticipated losses in bank loan portfolio; see developments under Basel III and Saurina, 2009 for Spanish experience). Dynamic loan loss provisions may also work as a macroprudential tool for the regulator to measure the resilience of the banking system against a macroeconomic shock. IT may also help the regulator. For example, information-sharing IT architectures could be designed to limit the potentially contagious effect of information sharing and to maximize the benefits of disclosure. Stress test models could analyze the impact of the individual bank failure in the closely interconnected banking system. Disclosure and closer surveillance of automatic decision systems used in banking may also be needed. The discrepancy between banks and their regulators seems to exist. Whereas banks have fully embraced IT developments, the regulators may have been lagging behind.

44

See the recently accepted Dodd-Frank Act; Dodd-Frank Wall Street Reform and Consumer Protection Act, H.R. 4173, 111th Cong., 2nd Sess. 2010. 45 For example, Switzerland aims to impose capital requirements of 19% of risk weighted assets for their systemically important banks. Adrian and Brunnermeier (2010) have proposed macroprudential regulation based on the CoVaR measure of interconnectedness between financial institutions.

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