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CHAPTER 17
Technology and Other Operational Risks
Copyright © 2014 by the McGraw-Hill Companies, Inc. All rights reserved
Overview
Factors affecting operational returns
and risks
Importance of optimal management
and control of labor, capital, and other
input sources and their costs
Technology and its impact on risk and
return
Examples: Risks resulting from
innovations in IT and effects of terrorist
attacks on key technologies
Ch 17-2
Sources of Operational Risk
Technology
Employees
Customer relationships
Capital assets
External
Ch 17-3
Technology & Profitability
Efficient technological base can result
in:
– Lower costs
Through improved allocation of inputs
– Increased revenues
Through wider range of outputs
– Earnings before taxes = (Interest income Interest expense) + (Other income Noninterest expense) - Provision for loan
losses
Ch 17-4
Impact of Technology
Interest income can be increased
– Through wider array of outputs or cross
selling
Interest expense can be decreased
– Through improved access to markets for
liabilities
Fedwire, CHIPS
Ch 17-5
Impact of Technology
Other income can be increased
– Through electronic handling of fee
generating OBS activities such as LCs and
derivatives
Noninterest expenses can be reduced
– Through improved efficiency of back
office operations using technology
Especially true for securities-related activities
Ch 17-6
Impact on Wholesale Banking
Improvements to cash management:
Controlled disbursement accounts
Account reconciliation
Wholesale lockbox
Electronic lockbox
Funds concentration
Electronic funds transfer
Check deposit services
Electronic initiation of letters of credit
Ch 17-7
Impact on Wholesale Banking (continued)
Treasury management software
Electronic data interchange
Facilitating B2B e-commerce
Electronic billing
Verifying identities
– Issue of law enforcement access to
encrypted data since September 11, 2001
Assisting small business entry into ecommerce
Online customer-facing technologies
Cloud computing
Ch 17-8
Impact on Retail Banking
Automated teller machines
Point-of-sale debit cards
Tablet banking
Preauthorized debits/credits
Mobile banking
Online banking
Ch 17-9
Impact on Retail Banking
Smart cards
FI social media sites
Integration of online, offline, and
mobile channels
Financial planning services
Instant ‘micro mobile loans’
Loyalty programs
Ch 17-10
Effects of Technology on Revenues & Costs
Investments in technology are risky
– Potentially negative NPV projects due to
uncertainty and potential competitive
responses
– Service quality and convenience
Inability of ATMs to interact with customers as
humans can
Example: Customers compare mortgage
rates online, but only 2% close online
Virtual FIs operating branch offices
∙ Example: ING Direct
Ch 17-11
Effects of Technology on Revenues & Costs
Evidence shows the impact of
regulation on the value of
technological innovations
– Branching restrictions in U.S. affect the
value of cash management services, for
example
– Less valuable in Europe where
comparable restrictions are absent
Ch 17-12
Effects of Technology on Revenues & Costs
Revenue effects:
– Facilitates cross-marketing
Mixed success
∙ Example: Citigroup and insurance
– Increases innovation
Ch 17-13
Technology and Costs
For larger FIs the scale and array of
potential technology investments is
greater
– Potential average cost advantage for
larger FIs
Economies of scale
Potential elimination of smaller banks?
– Technological investments are risky
Potential diseconomies of scale
Ch 17-14
Economies of Scale in FIs
Ch 17-15
Effects of Technological Improvement
Ch 17-16
Effects on Costs (continued)
Economies of scope
– Multiple outputs may provide synergies in
production
– FI size may affect potential gains and
losses from IT investment
Diseconomies of scope
– Specialization may have cost benefits in
production and delivery of some FI
services
Ch 17-17
Testing for Economies of Scale and Scope
Production approach:
– Views FI as producing output of services
using inputs of labor and capital
– C = f(y,w,r)
Intermediation approach:
– Includes funds used to produce
intermediated services among the inputs
– C = f(y,w,r, k)
Ch 17-18
Empirical Findings
Evidence of economies of scale for banks
up to the $10 billion to $25 billion range
X-inefficiencies may be more important
Inconclusive evidence on scope
Recent studies using a profit-based
approach find that large FIs tend to be
more efficient in revenue generation
Potential long term gains from innovation
– Cashless payments system?
Ch 17-19
Technology and Evolution of the Payments System
Use of electronic transactions higher in
other countries
– Usage of checks rapidly becoming
obsolete
– Checks cleared using electronic funds
transfer
– E-money virtually non-existent in the US
Facilitates foreign currency transactions on the
internet
Not FDIC insured
Ch 17-20
U.S. Payments System
– U.S. reluctance to abandon the use of
checks
– U.S. payments system
– FedWire
– Clearing House Interbank Payments
System (CHIPS)
– Combined value of transactions often
more than $5 trillion per day
Ch 17-21
Web Resources
For more information on the Clearing
House Interbank Payments System,
visit:
CHIPS www.chips.org
Ch 17-22
Wire Transfer System Risks
Daylight overdraft risk
– FedWire settlement at 6:30 EST
– Banks commonly ran daylight overdrafts
50 basis point interest rate introduced for
daylight overdrafts
– Regulation J guarantees payment finality
of wire transfer messages by the Fed
Fed bears the risk
– Regulation F sets exposure limits to
individual correspondent banks
Ch 17-23
Risks (continued)
International Technology Transfer Risk
Crime and Fraud Risk
– Fraud risk, especially from FI employees
– Riggs National Bank transactions with Saudis
– Costs of complying with Patriot Act
Ch 17-24
Risks (continued)
Regulatory Risk
– Technology facilitates avoidance of
regulation by locating in least regulated
state or country
Citigroup credit card operations in South
Dakota
South Dakota and Delaware liberal in terms of
usury ceilings and other regulatory controls
Cayman Islands
Ch 17-25
Risks (continued)
Tax Avoidance
– Internal pricing mechanisms to shift profits to low
tax regimes
– UBS AG: the Hong Kong connection
Competition Risk: nonfinancial firms
– GMs credit card operation
– AT&T
– Industrial loan corporations (ILCs)
Technology allows locating in Utah where regulation is
more favorable
Requirement to register ILCs as bank holding
companies, 2009
Ch 17-26
Other Operational Risks
Employees
–
–
–
–
–
–
–
Turnover
Key personnel
Fraud
Errors
Rogue trading
Money laundering
Confidentiality breach
Example: Theft of code by ex-Goldman programmer
– Revelation of ethical problems via email
exchanges
Ch 17-27
Technology Risks
Programming error
Model risk
Mark-to-market error
Management information
IT/Telecommunications systems outage
Technology provider failure
Contingency planning
Ch 17-28
Customer Relationship Risks
Contractual disagreement
Dissatisfaction from poorly performing
technology
Default
Ch 17-29
Capital Asset Risk
Safety
Security
Operating costs
Fire/flood
Ch 17-30
External Risks
External fraud
Taxation risk
Legal risk
War
Market collapse
Reputation risk
Relationship risk
Ch 17-31
Controlling Operational Risk
Loss prevention:
– Training, development, review of
employees
Loss control:
– Planning, organization, back-up
Loss financing:
– External insurance
Loss insulation:
– FI capital
Ch 17-32
Regulatory Issues
1999 Basel Committee on Banking
Supervision noted the importance of
operational risks
Follow up report
Required capital:
– Basic Indicator Approach
– Standardized Approach
– Advanced Measurement Approach
Consumer protection issues
Ch 17-33
Other Concerns
Efforts to expand consumer
acceptance of web-based services
frustrated by scams
– Identity theft concerns
Vulnerability of online credit card
usage
Ch 17-34
Pertinent Websites
BIS
The Clearing House
FDIC
International Swap and
Derivatives Association
The Wall Street Journal
www.bis.org
www.chips.org
www.fdic.gov
www.isda.org
www.wsj.com
Ch 17-35