Fiscal policy in the U.S. and other countries renders intertemporal budgets non-differentiable, nonconvex, and discontinuous. Consequently, assessing work and saving responses to policy requires global optimization. This paper develops the Global Life-Cycle Optimizer (GLO), a stochastic...

In this paper we examine the quantitative effects of margin regulation on volatility in asset markets. We consider a general equilibrium infinite-horizon economy with heterogeneous agents and collateral constraints. There are two assets in the economy which can be used as collateral for...

In this paper we examine the effect of collateral constraints and margin requirements on the prices of long-lived assets. We consider a Lucas-style infinite-horizon exchange economy with heterogenous agents and collateral constraints. In our calibrated economy collateral constraints lead to a...

We embed it into a time iteration algorithm to compute recursive equilibria in an infinite horizon endowment economy where heterogeneous agents trade in various assets subject to collateral constraints and short sale constraints. We show that adaptive simplicial interpolation computes equilibria...

In this paper we examine the effect of collateral requirements on the prices of long- lived assets. We consider a Lucas-style infinite-horizon exchange economy with heteroge- nous agents and collateral constraints. There are two trees in the economy which can be used as collateral for short-term...

Many assets derive their value not only from future cash flows but also from their ability to serve as collateral. In this article, we investigate this collateral premium and its impact on asset returns in an infinite‐horizon general equilibrium model with heterogeneous agents. We document...

In this paper we develop a Negishi approach to characterize recursive equilibria in stochastic models with overlapping generations. When competitive equilibria are Pareto-optimal, using Negishi-weights as a co-state variable has three major computational advantages over the standard approach of...

We propose a generic and scalable method for computing global solutions of nonlinear, high-dimensional dynamic stochastic economic models. First, within an MPI–TBB parallel time-iteration framework, we approximate economic policy functions using an adaptive, high-dimensional model...

How does the market makers' aversion to unhedgeable risks influence option prices? We answer this question by introducing a new structural approach: deep replication. With this method, we extract the risk aversion of S&P500 options per contract and per day. Cross-sectionally, we show the...