Weathering Volatility 2.0: A Monthly Stress Test to Guide Savings

In this report, the JPMorgan Chase Institute uses administrative bank account data to measure income and spending volatility and the minimum levels of cash buffer families need to weather adverse income and spending shocks.

Inconsistent or unpredictable swings in families’ income and expenses make it difficult to plan spending, pay down debt, or determine how much to save. Managing these swings, or volatility, is increasingly acknowledged as an important component of American families’ financial security. This report makes further progress toward understanding how volatility affects families and what levels of cash buffer they need to weather adverse income and spending shocks. 



Trading Equity for Liquidity: Bank Data on the Relationship Between Liquidity and Mortgage Default

For many, homeownership is a vital part of the American dream. Buying a home represents one of the largest lifetime expenditures for most homeowners, and the mortgage has generally become the financing instrument of choice. For many families, their mortgage will be their greatest debt and their mortgage payment will be their largest recurring monthly expense.

In this report, we present a combination of new analysis and previous findings from the JPMorgan Chase Institute body of housing finance research to answer important questions about the role of liquidity, equity, income levels, and payment burden as determinants of mortgage default. Our analysis suggests that liquidity may have been a more important predictor of mortgage default than equity, income level, or payment burden.



Paychecks, Paydays, and the Online Platform Economy Big Data on Income Volatility


This report from the JPMorgan Chase Institute digs deeper into the demographics and sources of income volatility and provides an unprecedented look at the impact of the Online Platform Economy. This analysis relies on high-frequency data from a randomized, anonymized sample of 1 million Chase customers between October 2012 and September 2015. To examine the Online Platform Economy, we assembled the largest sample of platform workers to date—a dataset of over 260,000 individuals who have offered goods or services on one of 30 distinct platforms




The Monthly Stress-Test on Family Finances

Paychecks, Paydays, and the Online Platform Economy Big Data on Income Volatility

Weathering Volatility: Big Data on the Financial Ups and Downs of U.S. Individuals