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MetaMask: Where your money lives
Buy, trade, earn, and spend, all from one app you control.
Artificial intelligence and personal finance
Artificial intelligence (AI) is transforming how consumers access and use financial information, education and advice for personal financial decision making. While consumers’ increasing use of AI tools and AI-generated content for personal finance brings opportunities in terms of accessibility, personalisation and decision making, it also increases risks related to bias, hallucinations, commercial influence, data privacy and exclusion, with uncertain benefits on long-term financial well-being. This policy paper provides policymakers and stakeholders with an overview of current trends, opportunities and risks in the use of AI in personal finance and in the design and delivery of financial education. It also proposes a set of financial literacy competencies to support the use of AI in personal financial decision making.
FinTech Adoption Across Generations: Financial Fitness in the Information Age
This paper analyzes how better access to financial information via new technology changes use of consumer credit and affects financial fitness. We exploit the introduction of a smartphone application for personal financial management as a source of exogenous variation. FinTech adoption reduces financial fee payments and penalties, but differs cross-sectionally in the population. After adopting the new technology, Millennials and members of Generation X incur fewer financial fees and penalties, whereas Baby Boomers do not benefit from the technological advance. Millennials and Gen Xers save fees by using their credit cards rather than overdrafts to manage short-term liabilities. Moreover, Millennials shift some of their spending to discretionary entertainment, whereas members of Generation X remain more austere. Finally, while men tend to adopt new technology and access information at a higher rate, the economic impact of access is larger for women.
Fi Money rolls out AI feature for users' queries on personal finance via ChatGPT, Gemini- Moneycontrol.com
Until now, users relied on generic prompts and manual inputs to use AI tools for financial advice, Fi has replaced this with a structured, consent-driven way to share real financial data, the neo-banking firm's co-founder Sumit Gwalani has said
The Ostrich in Us: Selective Attention to Personal Finances
Abstract We analyze attention to personal finances using a high-frequency panel of bank data, including information on logins. We document a number of robust patterns. Relative to their personal histories, individuals pay more attention when holding more cash and liquidity and when receiving income. In contrast, attention decreases discretely as bank account balances go from positive to negative and then decreases further as overdraft debt increases. We conclude that Ostrich effects in a personal finance context, i.e., the avoidance of obtaining information on everyday personal finances, is a widespread phenomenon and explore a number of explanations for our findings.
Household Financial Transaction Data
The growth of the availability and use of detailed household financial transaction micro data has dramatically expanded the ability of researchers to understand both household decision making and aggregate economic fluctuations across a wide range of fields. This class of transaction data is derived from a myriad of sources, including financial institutions, FinTech apps, and payment intermediaries. We review how these detailed data have been utilized in finance and economics research and analyze both their benefits and limitations as compared to more traditional measures of income, spending, and wealth. Finally, we discuss the future potential of this flexible class of data in firm-focused research, real-time policy analysis, and macro statistics.
AtmoPay — payments for the open social web
Set your prices once. AtmoPay publishes them to your own account and settles the money, so every app that reads your profile can sell for you.
Household Finance
Household financial decisions are complex, interdependent, and heterogeneous, and central to the functioning of the financial system. We present an overview of the rapidly expanding literature on household finance (with some important exceptions) and suggest directions for future research. We begin with the theory and empirics of asset market participation and asset allocation over the life cycle. We then discuss household choices in insurance markets, trading behavior, decisions on retirement saving, and financial choices by retirees. We survey research on liabilities, including mortgage choice, refinancing, and default, and household behavior in unsecured credit markets, including credit cards and payday lending. We then connect the household to its social environment, including peer effects, cultural and hereditary factors, intra-household financial decision-making, financial literacy, cognition, and educational interventions. We also discuss literature on the provision and consumption of financial advice.
The Future of Money: How the Digital Revolution Is Tran…
A cutting-edge look at how accelerating financial chang…
Cash versus Debit Card: The Role of Budget Control
Due to the financial crisis, an increasing number of households face financial problems. This may lead to an increasing need for monitoring spending and budgets. We demonstrate that both cash and the debit card are perceived as helpful in this respect. We show that, on average, consumers responsible for financial decision making within a household find cash and the debit card equally helpful for monitoring their household finances. Individuals differ in major respects, however. In particular, low earners and the liquidity‐constrained prefer cash as a budgeting tool. Finally, we present evidence that at an aggregated level, such preferences strongly affect consumer payment behavior. These findings suggest that the substitution of cash by cards may slow down because of the financial crisis.
Manifest Financial | Banking Solutions for Creators
Crafted specifically for creators, streamlining financial management with seamless payments and effortless expense tracking—all in one place.
Chatbots in consumer finance | Consumer Financial Protection Bureau
Many financial institutions are using advanced technologies to deploy customer service chatbots. Poorly designed chatbots can lead to customer frustration, reduced trust, and even violations under the law.
Splital: Split Expenses App for Trips, Couples & Roommates
Split expenses easily with Splital. No ads, no limits. Track who owes what and settle up in seconds. Available on Android and iPhone.
Global Data on Financial Inclusion | FinDev Gateway
Explore our curated list of data sources relevant for microfinance and financial inclusion.
SJ · Home
I’m a designer and developer by training and trade. I spend most of my spare time reading about business, finance and crypto. If this combination interests you, welcome to my corner of the internet. This is where I share my reading list, investment updates, and software adventures.
