FEDS Paper: Queuing, Service Time, and Price Dynamics in Residential Mortgage Lending

Akos Horvath and Benjamin S. KayBuilding on queuing theory, we develop and empirically validate a novel theoretical model of residential mortgage supply. Our model gives insight into how the stochastic arrival and sequential servicing of loan applications affect mortgage origination. The model provides closed-form predictions for lenders’ optimal response to changes in the level and price elasticity of mortgage demand.

How much do you really need to retire? It’s probably a lot less than $1 million

Every few months, someone in the superannuation industry declares that Australians now “need” around A$1 million to retire comfortably. It’s a big, scary number.

But consumer advocates say most people can retire with far less.

Independent estimates suggest something closer to $322,000 is enough for many retirees who own their own home. So who’s right – and what assumptions drive these wildly different targets?

IFDP Paper: Volatile Rates, Fragile Growth: Global Financial Risk and Productivity Dynamics

Nils Gornemann, Eugenio Rojas, Felipe SaffieDoes global financial risk affect long-run growth? Using a panel state-space model for emerging and advanced small open economies, we measure the effects of U.S. monetary policy uncertainty shocks. A one-standard-deviation shock lowers the level of the stochastic trend in emerging markets by at least 25 basis points after three years, with little effect in advanced economies.

IFDP Paper: The Design and Effect of Tariff Retaliation: Evidence from the European Union

Ece Fisgin, Johannes Fleck, Keith RichardsWe show that the EU’s 2018 retaliation against US steel and aluminum tariffs targeted goods with low US import dependence and high substitutability. For the majority of tariffed goods, the US share of EU imports declined notably and remained below pre-2018 levels even after the retaliatory tariffs were lifted, reflecting asymmetric effects of tariffs on trade diversion.

IFDP Paper: Risk in a Data-Rich Model

Dario Caldara, Haroon Mumtaz, and Molin ZhongWe characterize asymmetric tail risk across over one hundred U.S. macroeconomic and financial variables using a dynamic factor model with stochastic volatility. The model unifies growth-at-risk, inflation-at-risk, and sectoral heterogeneity through common factors whose volatility responds endogenously to shocks, combined with heterogeneous factor loadings.

Pages

Subscribe to Front page feed