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March 2021 - Payments Systems in the U.S. by Carol Coye Benson, Scott Loftesness, and Russ Jones

This month we dive into the fintech space for the first time! Glenbrook Partners is a famous payments consulting company. This classic book describes the history and current state of the many financial systems we use every day. While the book is a bit dated and reads like a textbook, it throws in some great real-world observations and provides a great foundation for any payments novice!

Tech Themes

  1. Mapping Open-Loop and Closed-Loop Networks. The major credit and debit card providers (Visa, Mastercard, American Express, China UnionPay, and Discover) all compete for the same spots in customer wallets but have unique and differing backgrounds and mechanics. The first credit card on the scene was the BankAmericard in the late 1950’s. As it took off, Bank of America started licensing the technology all across the US and created National BankAmericard Inc. (NBI) to facilitate its card program. NBI merged with its international counterpart (IBANCO) to form Visa in the mid-1970’s. Another group of California banks had created the Interbank Card Association (ICA) to compete with Visa and in 1979 renamed itself Mastercard. Both organizations remained owned by the banks until their IPO’s in 2006 (Mastercard) and 2008 (Visa). Both of these companies are known as open-loop networks, that is they work with any bank and require banks to sign up customers and merchants. As the bank points out, “This structure allows the two end parties to transact with each other without having direct relationships with each other’s banks.” This convenient feature of open-loop payments systems means that they can scale incredibly quickly. Any time a bank signs up a new customer or merchant, they immediately have access to the network of all other banks on the Mastercard / Visa network. In contrast to open-loop systems, American Express and Discover operate largely closed-loop systems, where they enroll each merchant and customer individually. Because of this onerous task of finding and signing up every single consumer/merchant, Amex and Discover cannot scale to nearly the size of Visa/Mastercard. However, there is no bank intermediation and the networks get total access to all transaction data, making them a go-to solution for things like loyalty programs, where a merchant may want to leverage data to target specific brand benefits at a customer. Open-loop systems like Apple Pay (its tied to your bank account) and closed-loop systems like Starbuck’s purchasing app (funds are pre-loaded and can only be redeemed at Starbucks) can be found everywhere. Even Snowflake, the data warehouse provider and subject of last month’s TBOTM is a closed-loop payments network. Customers buy Snowflake credits up-front, which can only be used to redeem Snowflake compute services. In contrast, AWS and other cloud’s are beginning to offer more open-loop style networks, where AWS credits can be redeemed against non-AWS software. Side note - these credit systems and odd-pricing structures deliberately mislead customers and obfuscate actual costs, allowing the cloud companies to better control gross margins and revenue growth. It’s fascinating to view the world through this open-loop / closed-loop dynamic.

  2. New Kids on the Block - What are Stripe, Adyen, and Marqeta? Stripe recently raised at a minuscule valuation of $95B, making it the highest valued private startup (ever?!). Marqeta, its API/card-issuing counterpart, is prepping a 2021 IPO that may value it at $10B. Adyen, a Dutch public company is worth close to $60B (Visa is worth $440B for comparison). Stripe and Marqeta are API-based payment service providers, which allow businesses to easily accept online payments and issue debit and credit cards for a variety of use cases. Adyen is a merchant account provider, which means it actually maintains the merchant account used to run a company’s business - this often comes with enormous scale benefits and reduced costs, which is why large customers like Nike have opted for Adyen. This merchant account clearing process can take quite a while which is why Stripe is focused on SMB’s - a business can sign up as a Stripe customer and almost immediately begin accepting online payments on the internet. Stripe and Marqeta’s API’s allow a seamless integration into payment checkout flows. On top of this basic but highly now simplified use case, Stripe and Marqeta (and Adyen) allow companies to issue debit and credit cards for all sorts of use cases. This is creating an absolute BOOM in fintech, as companies seek to try new and innovative ways of issuing credit/debit cards - such as expense management, banking-as-a-service, and buy-now-pay-later. Why is this now such a big thing when Stripe, Adyen, and Marqeta were all created before 2011? In 2016, Visa launched its first developer API’s which allowed companies like Stripe, Adyen, and Marqeta to become licensed Visa card issuers - now any merchant could issue their own branded Visa card. That is why Andreessen Horowitz’s fintech partner Angela Strange proclaimed: “Every company will be a fintech company.” (this is also clearly some VC marketing)! Mastercard followed suit in 2019, launching its open API called the Mastercard Innovation Engine. The big networks decided to support innovation - Visa is an investor in Stripe and Marqeta, AmEx is an investor in Stripe, and Mastercard is an investor in Marqeta. Surprisingly, no network providers are investors in Adyen. Fintech innovation has always seen that the upstarts re-write the incumbents (Visa and Mastercard are bigger than the banks with much better business models) - will the same happen here?

  3. Building a High Availability System. Do Mastercard and Visa have the highest availability needs of any system? Obviously, people are angry when Slack or Google Cloud goes down, but think about how many people are affected when Visa or Mastercard goes down? In 2018, a UK hardware failure prompted a five-hour outage at Visa: “Disgruntled customers at supermarkets, petrol stations and abroad vented their frustrations on social media when there was little information from the financial services firm. Bank transactions were also hit.” High availability is a measure of system uptime: “Availability is often expressed as a percentage indicating how much uptime is expected from a particular system or component in a given period of time, where a value of 100% would indicate that the system never fails. For instance, a system that guarantees 99% of availability in a period of one year can have up to 3.65 days of downtime (1%).” According to Statista, Visa handles ~185B transactions per year (a cool 6,000 per second), while UnionPay comes in second with 131B and Mastercard in third with 108B. For the last twelve months end June 30, 2020, Visa processed $8.7T in payments volume which means that the average transaction was ~$47. At 6,000 transactions per second, Visa loses $282,000 in payment volume every second it’s down. Mastercard and Visa have always been historically very cagey about disclosing data center operations (the only article I could find is from 2013) though they control their own operations much like other technology giants. “One of the keys to the [Visa] network's performance, Quinlan says, is capacity. And Visa has lots of it. Its two data centers--which are mirror images of each other and can operate interchangeably--are configured to process as many as 30,000 simultaneous transactions, or nearly three times as much as they've ever been asked to handle. Inside the pods, 376 servers, 277 switches, 85 routers, and 42 firewalls--all connected by 3,000 miles of cable--hum around the clock, enabling transactions around the globe in near real-time and keeping Visa's business running.” The data infrastructure challenges that payments systems are subjected to are massive and yet they all seem to perform very well. I’d love to learn more about how they do it!

Business Themes

interchange_fee.jpg
Interchange.png
  1. What is interchange and why does it exist? BigCommerce has a great simple definition for interchange: “Interchange fees are transaction fees that the merchant's bank account must pay whenever a customer uses a credit/debit card to make a purchase from their store. The fees are paid to the card-issuing bank to cover handling costs, fraud and bad debt costs and the risk involved in approving the payment.” What is crazy about interchange is that it is not the banks, but the networks (Mastercard, Visa, China UnionPay) that set interchange rates. On top of that, the networks set the rates but receive no revenue from interchange itself. As the book points out: “Since the card netork’s issuing customers are the recipients of interchange fees, the level of interchange that a network sets is an important element in the network’s competitive position. A higher level of interchange on one network’s card products naturally makes that network’s card products more attractive to card issuers.” The incentives here are wild - the card issuers (banks) want higher interchange because they receive the interchange from the merchant’s bank in a transaction, the card networks want more card issuing customers and offering higher interchange rates better positions them in competitive battles. The merchant is left worse off by higher interchange rates, as the merchant bank almost always passes this fee on to the merchant itself ($100 received via credit card turns out to only be $97 when it gets to their bank account because of fees). Visa and Mastercard have different interchange rates for every type of transaction and acceptance method - making it a complicated nightmare to actually understand their fees. The networks and their issuers may claim that increased interchange fees allow banks to invest more in fraud protection, risk management, and handling costs, but there is no way to verify this claim. This has caused a crazy war between merchants, the card networks, and the card issuers.

  2. Why is Jamie Dimon so pissed about fintechs? In a recent interview, Jamie Dimon, CEO of JP Morgan Chase, recently called fintechs “examples of unfair competition.” Dimon is angry about the famous (or infamous) Durbin Amendment, which was a last-minute addition included in the landmark Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010. The Durbin amendment attempted to cap the interchange amount that could be charged by banks and tier the interchange rates based on the assets of the bank. In theory, capping the rates would mean that merchants paid less in fees, and the merchant would pass these lower fees onto the consumer by giving them lower prices thus spurring demand. The tiering would mean banks with >$10B in assets under management would make less in interchange fees, leveling the playing field for smaller banks and credit unions. “The regulated [bank with >$10B in assets] debit fee is 0.05% + $0.21, while the unregulated is 1.60% + $0.05. Before the Durbin Amendment the fee was 1.190% + $0.10.” While this did lower debit card interchange, a few unintended consequences resulted: 1. Regulators expected that banks would make substantially less revenue, however, they failed to recognize that banks might increase other fees to offset this lost revenue stream: “Banks have cut back on offering rewards for their debit cards. Banks have also started charging more for their checking accounts or they require a larger monthly balance.” In addition, many smaller banks couldn’t recoup the lost revenue amount, leading to many bankruptcies and consolidation. 2. Because a flat rate fee was introduced regardless of transaction size, smaller merchants were charged more in interchange than the prior system (which was pro-rated based on $ amount). “One problem with the Durbin Amendment is that it didn’t take small transactions into account,” said Ellen Cunningham, processing expert at CardFellow.com. “On a small transaction, 22 cents is a bigger bite than on a larger transaction. Convenience stores, coffee shops and others with smaller sales benefited from the original system, with a lower per-transaction fee even if it came with a higher percentage.” These small retailers ended up raising prices in some instances to combat these additional fees - causing the law to have the opposite effect of lowering costs to consumers. Dimon is angry that this law has allowed fintech companies to start charging higher prices for debit card transactions. As shown above, smaller banks earn a substantial amount more in interchange fees. These smaller banks are moving quickly to partner with fintechs, which now power hundreds of millions of dollars in account balances and Dimon believes they are not spending enough attention on anti-money laundering and fraud practices. In addition, fintech’s are making money in suspect ways - Chime makes 21% of its revenue through high out-of-network ATM fees, and cash advance companies like Dave, Branch, and Earnin’ are offering what amount to pay-day loans to customers.

  3. Mastercard and Visa: A history of regulation. Visa and Mastercard have been the subject of many regulatory battles over the years. The US Justice Department announced in March that it would be investigating Visa over online debit-card practices. In 1996, Visa and Mastercard were sued by merchants and settled for $3B. In 1998, the Department of Justice won a case against Visa and Mastercard for not allowing issuing banks to work with other card networks like AmEx and Discover. In 2009, Mastercard and Visa were sued by the European Union and forced to reduce debit card swipe fees by 0.2%. In 2012, Mastercard and Visa were sued for price-fixing fees and were forced to pay $6.25B in a settlement. The networks have been sued by the US, Europe, Australia, New Zealand, ATM Operators, Intuit, Starbucks, Amazon, Walmart, and many more. Each time they have been forced to modify fees and practices to ensure competition. However, this has also re-inforced their dominance as the biggest payment networks which is why no competitors have been established since the creation of the networks in the 1970’s. Also, leave it to the banks to establish a revenue source that is so good that it is almost entirely undefeatable by legislation. When, if ever, will Visa and Mastercard not be dominant payments companies?

Dig Deeper

  • American Banker: Big banks, Big Tech face-off over swipe fees

  • Stripe Sessions 2019 | The future of payments

  • China's growth cements UnionPay as world's largest card scheme

  • THE DAY THE CREDIT CARD WAS BORN by Joe Nocera (Washington Post)

  • Mine Safety Disclosure’s 2019 Visa Investment Case

  • FineMeValue’s Payments Overview

tags: Visa, Mastercard, American Express, Discover, Bank of America, Stripe, Marqeta, Adyen, Apple, Open-loop, Closed-loop, Snowflake, AWS, Nike, BNPL, Andreessen Horowitz, Angela Strange, Slack, Google Cloud, UnionPay, BigCommerce, Jamie Dimon, Dodd-Frank, Durbin Amendment, JP Morgan Chase, Debit Cards, Credit Cards, Chime, Branch, Earnin', US Department of Justice, Intuit, Starbucks, Amazon, Walmart
categories: Non-Fiction
 

December 2020 - Do Androids Dream of Electric Sheep? (Blade Runner) by Phillip K. Dick

This month we read the classic sci-fi novel, Do Androids Dream of Electric Sheep? The book follows Rick Deckard, a bounty hunter searching out android robots who are pretending to be human beings. Along the journey, the reader is asked to consider: what does it mean to be alive? Philip K. Dick was a crazy sci-fi writer, producing many books and stories that became famous like The Man in the High Castle, Minority Report, and Total Recall. Although his writing career was prolific, Dick was a troubled individual. He was a heavy drug user, he married five times, he experienced drug-induced “paranormal activities” and he was physically abusive to at least two of his wives. While

Tech Themes

The common, modern depiction of a Turing Test

The common, modern depiction of a Turing Test

  1. Are you an android? In 1950, British computer scientist Alan Turing conceived of the Turing Test, a hypothetical test to determine whether a machine can display intelligent behavior. Turing asked the question, “Can machines think?” and attempted to define a test whereby a human might be tricked into believing a machine was human. The test design is fairly complex but involves a human asking written questions to a machine in another room. If the machine can convince the interrogator that it’s human, then machines can “think.” This Turing test is mirrored in the Voigt-Kampff test used throughout the book. It’s unclear if the test works, and Rick Deckard almost misdiagnoses Rachel in the book's early parts. At the end of the book, the test is turned on its head, with Rick impersonating John Isidore (another human), trying to convince machines (in another room) to let him in. This role-reversal and the questioning of who is an android happens throughout the novel - at times, Rick, Phil Resh, and Harry Bryant might all be androids. These questions are the centerpiece of sci-fi lore. They are also explored in a similar style in the famous movie Ghost in The Shell, where people have now have some organs and limbs replaced by electric parts. When a cyber-attacker named the Puppet Master takes over the machine network of technological parts, it’s unclear who is human, who is an android, and who is possessed by the Puppet Master. In the video game world, this idea has also recently been explored in Detroit: Become Human. In the game, which is set up in choose-your-own-adventure style, players can play as humans or androids and choose whether they stay in character or break out of their controlled, android state. The idea of an interrogator or bounty hunter snooping out rogue machines has been explored across books, film, and video games. As technology has become more prevalent in our lives, the cultural mediums may have changed, but the classic philosophical question - what does it mean to be alive? - remains.

  2. Predicting the future. The Blade Runner movie is famously set in Los Angeles, 2019, while the book is set in 1992 in San Francisco. The book itself was written in 1968, and the movie Blade Runner debuted 14 years later in 1982. In 2019, Blade Runner experienced a comic resurgence as its dark, bleak futuristic society of flying cars, fully intelligent artificial beings, and international space travel never happened. Today, predictions of computing and artificial intelligence abound. In his original Imitation Game paper, Alan Turing made one of the most famous AI predictions: “I believe that in about fifty years’ time it will be possible to programme computers, with a storage capacity of about 10^9, to make them play the imitation game so well that an average interrogator will not have more than 70 percent, chance of making the right identification after five minutes of questioning.” It’s tough to know if this prediction came true (other than the 10^9 part because that is only 1 GB), with some places claiming to have built algorithms that beat the Turing Test. Interestingly, one common theme emerges about these computing predictions - both experts and non-experts typically predict about 15-25 years out. In the Innovators, Walter Issacson posited that this was enough time to allow people to engage in imaginative thinking. Roy Amara, co-founder of the Institute for the Future, probably put it best: “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” How long run is the long run, though? As John Maynard Keynes proclaimed: “In the long run we are all dead. Economists set themselves too easy, too useless a task if, in tempestuous seasons, they can only tell us that when the storm is long past the ocean is flat again.” It is seriously hard to estimate the combination of changing technologies and infrastructures, which unlock completely new and cost-effective ways of building things. Will we have self-driving cars in 20 years? Will we have Artificial General Intelligence? Will we have quantum computing? I have no idea.

  3. Technology and nature. One theme repeatedly explored throughout the novel is this balance or tension between technology and nature. World War Terminus has caused a layer of radioactive dust to fall over the world, killing animal life and changing the environment. Mechanical animals are the norm, and Rick dreams about procuring a real horse, ostrich, or goat one day. He regularly checks his Sidney’s Animal & Fowl Catalogue like a stockbroker checking the latest price change. A real animal is significantly more expensive than a mechanical version, despite it being nearly impossible to figure out whether an animal is real or fake. This mirror’s the book's whole premise - a real human is more important and valuable than an Android despite increasingly small differences between Androids and humans. Rick realizes this at the end of the book: “The spider Mercer gave the chickenhead, Isidore; it probably was artificial, too. But it doesn't matter. The electric things have their lives, too. Paltry as those lives are." Technology and nature have a tradeoff in today’s world as well. Cloud computing is certainly energy-intensive, but according to the companies that run those clouds (like Google Cloud or Microsoft Azure), it is significantly less intensive than having companies run their own data centers. Beyond the environmental impact, the behavior of nature is something to consider when operating a data center. A few years ago, Facebook data centers went down when a Snake chewed through a switchboard and took down all services. In 2014, a shark bit through an underwater Google fiber cable, and in 2012 a squirrel took down a Yahoo data center. Animals, technology, and nature are constantly interacting, sometimes in unexpected ways.

Business Themes

Screenshot 2020-12-24 092236.png
  1. Status seeking and the growth of e-commerce. In the battle to achieve status, real animals are a highly sought after status symbol. Early on in the book, Rick engages in a jealous conversation over his neighbor’s real horse: “‘Ever thought of selling your horse?’ Rick asked. He wished to god he had a horse, in fact any animal.” After revealing that his sheep was electric, Rick’s neighbor kindly remarks that he won’t tell the other people in the apartment complex, suggesting that if people knew Rick had an electric sheep (rather than a real one), they would look down on him. While this interaction seems weird, it parallels so many interactions people have today. Vance Packard offered a description of “status seekers” in 1959: “People who are continually straining to surround themselves with visible evidence of the superior rank they are claiming.” As general consumption and wealth rose after World-War II in the US, luxury goods became more attainable for more classes. Globalization of supply chains also increased this trend. When commerce moved online, new shopping styles and behaviors emerged. E-commerce purchases can frequently replace feelings and there is even a psychological disorder caused by excessive purchasing: Buying-shopping disorder (BSD) is characterized by extreme preoccupations with and craving for buying/shopping and by irresistible and identity-seeking urges to possess consumer goods. Patients with BSD buy more consumer goods than they can afford, and those are neither needed nor frequently used. The excessive purchasing is primarily used to regulate emotions, e.g. to get pleasure, relief from negative feelings, or coping with self-discrepancy.” Dick may be signaling that humans seek status and importance compared to their reference groups, regardless of setting or what indicates that status to others, whether it be an expensive handbag or a goat.

  2. Buy goat now, pay-later. 2020 saw the emergence of buy-now, pay-later (BNPL) vendors like Affirm, Klarna, and Afterpay. These companies typically offer zero-interest loans to consumers and get paid a 5% merchant fee for increasing purchases at e-commerce stores. The stores (like Peloton for example) increase sales and the consumers benefit from not having to pay a significant upfront payment. The other way these companies make money is by charging interest payments on specific types of purchases (likely where the merchant doesn’t want to give away a fee). These interest rates can be really, really high - averaging around 10-30% depending on the purchase. This is not a new concept and the idea of payday loans at predatorily high-interest rates has been around for over 30 years. Luckily, the purchases that these BNPL providers are financing tend to not be really high-value products, but it’s still concerning that some people are buying things without understanding the true value they will have to pay in interest. When Rick purchases a real goat, after killing three androids, he finances it, paying $3,000 upfront and entering into a three-year payment contract. Rick’s wife Iran is outraged at the cost of the goat: "‘What are the monthly payments on the goat?’ She held out her hand; reflexively he got out the contract which he had signed, passed it to her. ‘That much,’ she said in a thin voice. ‘The interest; good god — the interest alone. And you did this because you were depressed. Not as a surprise for me, as you originally said.” With BNPL providers now securitizing these consumer loans and selling them off to banks, I wonder if we will see any new regulation come to bear for the benefit of consumers. If people are not careful, they could be locked into long contracts with significant interest over time.

  3. Two case studies in electric animals. Electric animals have actually been invented and while they may not be the equivalent of Goddard from Jimmy Neutron yet, they are pretty funny and interesting case studies. Sony released the AIBO dog in 1999 after many years of research. The original robot dog cost $2,100 (~$3,500 in today’s dollars) and sold about 65,000 units. The programmable software allowed the dogs to be used in a variety of situations including an AI soccer world cup. The initial popularity of the dogs waned, and price wars with new rivals caused sales to decline. In 2006, the AIBO dog was discontinued. In 2018, it made a resurgence and is now a barking flexible model that you can pet, play games with, and feed. Another tale of odd mechanic animals is Boston Dynamics. The company that spun out of MIT in 1992 produced massive quadruped animals including one called BigDog, that was capable of balancing, walking up-hill, and carrying significant amounts of equipment. The Company had trouble selling products though and was acquired by Google in 2013 for an undisclosed sum. This came at a time when Google was pushing heavily into robotics with Google Glass and what would become Waymo - they literally titled this Project Replicant (the name used for Android in the Blade Runner film). After some more years of underperformance, Google sold Boston Dynamics to Softbank in 2017. After years of development, the company finally released a product to consumers for a whopping $75,000. The dog is still pretty creepy and comes without a real face, unlike the Aibo. In 2020, it was announced that Hyundai had acquired an 80% stake in the business at a $1.1B valuation. We are still years away from having electric animals that mimic real-life animals and that may be a good thing.

Dig Deeper

  • Blade Runner: How Its Problems Made It a Better Movie

  • Does Buy Now, Pay Later Threaten Credit Card Issuers?

  • Predicting a Future Where the Future Is Routinely Predicted

  • An Overview of the latest Affirm Consumer Loan Securitization

  • Snakes in a Facebook Data Center

tags: Alan Turing, Ghost in the Shell, Blade Runner, Philip K. Dick, Sony, AI, AGI, Google, Microsoft, Yahoo, BNPL, Affirm, Klarna, Afterpay, e-Commerce, Securitization, Jimmy Neutron, AIBO, Boston Dynamics, Softbank, Hyundai, Facebook, Waymo, Rick Deckard, Detroit: Become Human, Los Angeles, San Francisco
categories: Fiction
 

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