Fintech ?? Food - 24th July 2022
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Hey Fintech Nerds ??
How's Inflationmageddon treating you??
Fresh from last week's birthday celebrations, I'm back and thinking more about incentives than ever. Can we get incentives right in finance, and if we do, do we end up with a better economy and world?
We could really use that. People are struggling. We need you builders. Do your thing.
Fintech isn't dead. As ramp doubled it's revenue there are still massive growth stories out there and reasons to be optimistic.
I also wanted to go deeper into the rumors about Coinbase being insolvent. The contrast in those two stories feels like this moment in time and felt worth analyzing.
Lastly, this week's Good Read looks at the pragmatic payment system Pix in Brazil.?
Until next time :)
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Weekly Rant ??
Incentive alignment in finance.
Finance is a minefield of bad incentives and bad outcomes. Often the most profitable activity is the most socially destructive. Sub-prime lending with high fees, financing commodities like oil, and taking the other side of a trade where institutions win and consumers lose.
But sub-prime consumers?are?a higher loan default risk than higher earners, the economy still needs oil to function, and without a counterparty to trade with, we wouldn't have an economy.?
Without banks, we get no schools, healthcare, charity, and no AirPods.?
So is that it??
We just accept that if we want to offer an opportunity to people on lower incomes, we must give them a higher mountain to climb? We assume that the world needs oil if we want AirPods, and the consumer always loses in markets??
I think both things are true
Therefore the trick will be to better align outcomes between the buyer of financial services and the seller.?
On some level, they?are?aligned.
Providing financial services over the long term requires sensible risk management (i.e., Not lending to people who can't afford to repay). Sensible risk management means an organization gets to stick around and get bigger. Organizations that stick around and get bigger build an ephemeral quality called "trust."?
And this "trust" is what bankers talk about as their USP.
They're regulated, they're big, and in theory, they're sturdy.?
But trust can't just mean being a rational lender and pricing for the financial cycle if we want to do better.
We have to get on our customer's side and?actually?help them.
To me, that's why we're all here.
So take a walk with me as we explore
Banking and finance pricing dynamics.
We can unpick the incentives if we understand the dynamics from first principles.?
If we take the three core functions of finance (store value, move value, lend value), each has its own pricing dynamic but is also linked.
To store an asset for a customer means you have to protect that asset;?this could be as simple as a vault for jewelry or as complicated as providing accounts for multiple currencies and asset classes. The risk is that an attacker might steal that asset, and you'd have to potentially make that customer whole.?
Yet typically, most organizations will pay (in the form of interest) for the privilege of storing a customer's asset. Because when you deposit your cash at a bank, you're really lending to them. And they can use your money to fund other activities (like lending, payments, and more).
Banks have an?incentive?to attract as many deposits as possible. It fuels their growth.?
Moving an asset also carries a cost.?Moving cash requires physical security to move that cash without being stolen, and digital payment infrastructure requires integration with countless payment types. Many things can go wrong with payments, like a sender not having sufficient funds.
Most payment types have an associated fee (whether you, the consumer, pay that or not is another matter). Card payments are paid for by merchants, while international payments are paid by whomever the sender is. These fees pay for the cost of running the infrastructure and managing the complexities when something goes wrong.?
Banks have an?incentive?to manage as many payments as possible as a source of revenue and growth.
To lend to a customer, you have to price the risk of that lending.?Advancing cash to a consumer or business is a minefield of things that could go wrong. Is the lending going to the right person? Can this person or company afford the lending? And crucially, are they likely to pay back the loan? With every loan a lender makes, they will win some and lose some, but the rate they charge for lending should be enough to cover any losses, the cost of running their business, and still make a profit.
Loans are usually priced as a % of the principal in APR or APY. e.g., If you borrow $1,000 at a $10 APY over 1 year, your repayment should be $1,100. Loans can be secured (with collateral like a house) or unsecured, and they can be over a fixed term (e.g., 1 year) or revolving (like a credit card that re-sets monthly).
Lenders have an?incentive?to lend at a high APY but must find a balance between who can afford to pay and the competitors who could undercut them on prices.
These three incentives combine into a flywheel.
Store more deposits, move more money (and collect that fee), and be allowed to lend more. Over time, learn what is good credit and bad credit, and grow trust.
The business model has a rational and historically socially useful set of incentives.
So why all the fees?
The risk of hidden fees and predatory lending.
If finance were that simple, we'd have no predatory lending or hidden fees. But we do, so how come they get to exist?
Over the short term, these rational decisions make sense, but over the long term, they damage the trust and brand an institution has with its customers.
Payday lenders and loan sharks come and go and are often weeded out by regulation, public opinion, or both. This is why often large banks don’t do predatory lending (if anything, they’re more likely to shy away from low-income consumers), but they often have plenty of hidden fees. Their business model benefits from customers in problem debt.
But if we go back to the core USP: Banks and large institutions have sticky relationships with their customers because they have trust. That trust is eroded by a business model that benefits from catching customers out.
Customers are now willing to adopt Fintech apps and services because that trust has eroded. And it eroded from decision making by spreadsheet.
What works on the spreadsheet doesn't always work with humans.
The measures create incentives.
Goodhart’s law states
When a measure becomes a target, it ceases to be a good measure
There are perhaps no organizations more obsessed with spreadsheets than large financial services companies. In many cases, this is a very good thing. We want detail-oriented organizations to make rational decisions.
But I think we’ve swung too far the other way, especially after the Financial Crisis; large banks became obsessed with one metric (as did analysts and shareholders).
ROTE.?
Return on Tangible Equity describes the return generated by money shareholders invested in the company. It becomes a rule of thumb measure of how well a lender or bank manages its costs, balance sheet, and lending activity compared to its peers, and you'll often see it cited in reports.?
Large banks will generate a "ROTE" anywhere between 10% and 15%, while some niche banks can deliver 20 to 25% but with much lower overall revenue.?
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Fees are a great way to drive up ROTE.
And drive away customer trust.
The rise of Fintech lenders
The first wave of Fintech lenders from ~2010 (SoFi, Prosper, LendingClub) initially targeted market gaps left by banks, who had exited unprofitable consumer lending segments after the financial crisis.?
Banks exiting left small businesses and consumers demanding lending but with little supply. And so, initially, these lenders found they could drive revenue by selling lending to an underserved segment.
Through the next decade, these lenders struggled to scale and build a balance sheet because they didn't have the cheap funding source the banks did (deposits), and customers' ability to repay changed over time (credit risk is related to the economic cycle).?
Many of those organizations are now banks themselves.?
The next generation of Fintech companies is now experimenting with their lending. We credit builder cards built on open banking data, cash advances paid for with “tips,” and even “Gen Z focussed credit cards.”
It’s not obvious these products will fare any better than their predecessors.
Although I am hopeful that we can use more data about a customer, we can better understand their risk.
Must finance always revert to the mean?
Finance feels mean.
The rich get richer, and the poor have the highest borrowing rates. It feels unfair, even if it's rational.
The lenders with the largest data set and most deposits get to be the most profitable over the long run, and often that's the big banks. They're like a gradual snowball, getting slightly larger in the short term but compounding in scale over the long term.
That's the way it has worked for centuries.
Because the regulator can fine you, but the shareholders can fire you.
Apps that just deliver customer value risk delivering no revenue to shareholders.
Businesses that deliver revenue risk delivering ever less value to customers over time.
But could we do more with incentives?
The physics of finance are hard to mess with. Those with the biggest balance sheet will continue to exist. But they also bear the biggest responsibility and opportunity to impact consumer and social outcomes.
The big lenders are best placed to make a meaningful difference to society. But often lack the focus and skill to align the business model to customer outcomes.
Fintech companies are masters of building products to solve customer problems. Perhaps they can play with aligning incentives and use that to grow like fungus in a petri-dish. Alex Johnson gives some really good examples of business models that are driving revenue and customer value in his latest piece here.
Customer outcomes are easy to measure.
The reality is that improving consumer outcomes is not a giant mystery. Good finance advice is generally well known (in the?Financial Health Score?and countless SubReddits). Compounding, rainy day fund, building resilience, building credit scores. The metrics are there.
So what if there was a prize feedback loop for building products that improved customer outcomes?
Why can't we reward the positive and link that to revenue?
My inspiration here is how ESG ratings work (yes,?I know they're gamed, but I'd argue they're a net positive). Stocks that pollute, mistreat employees, or produce adverse outcomes for society typically get a worse "rating" from rating agencies.?
Like diversity on boards, I'm 100% certain we'd see that companies with better customer outcomes also had better financial outcomes.
With lending, if we build someone’s credit score, they might one day take out a mortgage and be super loyal too. They might just be willing to pay a subscription for how much their life is improving.
Can we build the metrics for that that don’t fall prey to Goodharts law?
A credit score shouldn’t be a life sentence.
It should be a lifeline.
And our goal should be to build that.
Let's make finance better.
Let's experiment.
Let's do this.
ST.
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4 Fintech Companies ??
1.?Marketwolf?- The anti-Robinhood for India?
2.?Fletch?- Embedded Insurance API
3.?Plannery?- Debt consolidation for Healthcare professionals
4.?Cryptio?- Enterprise-grade accounting for Crypto
Things to know ??
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Good Reads ??
Other great reads
That's all, folks. ??
Remember, if you're enjoying this content, please do tell all your fintech friends to check it out and hit the subscribe button :)
Thanks for reading Fintech Brain Food ??! Subscribe for free to receive new posts and support my work.
Digital Experience Lead at Coutts
2 年“Bank algos are designed to figure out how they get paid back not how you can build wealth” has resonated with me very strongly. I’m so passionate about *really* moving the dial for people first, building trust on their journey and forming meaningful relationships on the path to building that wealth. Thanks for sharing (again!)!
???? ???? Fintech CRO at Arc (YC W22)????Unicorn builder ?? ?? Winemaker ?? ?? Angel Investor??
2 年Simon Taylor are we past the era of “opaque ML credit modeling” as the core credit fintech moat? What if credit modeling gets opened up to the benefit of the applicant? On the one hand, it errodes proprietary edge and increases first party fraud risk… on the other hand sharing the rules of the road openly gives more borrowers a clear blueprint to help them get the right outcome
Data & Tech @Swiss Re
2 年We need more of this discussion of incentives in finance, thanks Simon. Individual data availability can facilitate mass customisation, rather than one-size-fits-all products and services. This personalised approach can drive better fit for many (and grow the pie), but incentive structures need to address financial exclusion by design.