Does Smooth Ambiguity Matter for Asset Pricing?
We use the Bayesian method introduced by Gallant and McCulloch (2009) to estimate consumption-based asset pricing models featuring smooth ambiguity preferences. We rely on semi-nonparametric estimation of a flexible auxiliary model in our structural estimation. Based on the market and aggregate consumption data, our estimation provides statistical support for asset pricing models with smooth ambiguity. Statistical model comparison shows that models with ambiguity, learning and time-varying volatility are preferred to the long-run risk model. We analyze asset pricing implications of the ...
Risk Management for Sovereign Debt Financing with Sustainability Conditions
We develop a model of debt sustainability analysis with optimal financing decisions in the presence of macroeconomic, financial and fiscal uncertainty. We define a coherent measure of refinancing risk, and trade off the risks of debt stock and flow dynamics, subject to debt sustainability constraints and endogenous risk and term premia. We optimize both static and dynamic financing strategies, compare them with several simple rules and consol financing to demonstrate economically significant effects of optimal financing, and show that the stock-flow tradeoff can be critical for ...
Ignorance, Uncertainty, and Strategic Consumption-Portfolio Decisions
This paper constructs a recursive utility version of a canonical Merton (1971) model with uninsurable labor income and unknown income growth to study how the interaction between two types of uncertainty due to ignorance affects strategic consumption-portfolio rules and precautionary savings. Specifically, after solving the model explicitly, we theoretically and quantitatively explore (i) how these ignorance-induced uncertainties interact with intertemporal substitution, risk aversion, and the correlation between the equity return and labor income, and (ii) how they jointly affect strategic ...
Monetary Policy in an Oil-Exporting Economy
The sudden collapse of oil prices poses a challenge to inflation-targeting central banks in oil-exporting economies. In this article, the authors illustrate this challenge and conduct a quantitative assessment of the impact of changes in oil prices in a small open economy in which oil represents an important fraction of its exports. They build a monetary, three-sector, dynamic stochastic general equilibrium model and estimate it for the Colombian economy. They model the oil sector as an optimal resource extracting problem and show that in oil-exporting economies the macroeconomic effects vary ...
The market resources method for solving dynamic optimization problems
We introduce the market resources method (MRM) for solving dynamic optimization problems. MRM extends Carroll?s (2006) endogenous grid point method (EGM) for problems with more than one control variable using policy function iteration. The MRM algorithm is simple to implement and provides advantages in terms of speed and accuracy over Howard?s policy improvement algorithm. Codes are available.
Impulse-Based Computation of Policy Counterfactuals
We propose an efficient procedure to solve for policy counterfactuals in linear models with occasionally binding constraints. The procedure does not require knowledge of the structural or reduced-form equations of the model, its state variables, or its shock processes. Forecasts of the variables entering the policy problem, and impulse response functions of these variables to anticipated policy shocks under an arbitrary policy, constitute sufficient information to construct valid counterfactuals. We show how to compute solutions for instrument rules and optimal discretionary and commitment ...
A Generalized Time Iteration Method for Solving Dynamic Optimization Problems with Occasionally Binding Constraints
We study a generalized version of Coleman (1990)’s time iteration method (GTI) for solving dynamic optimization problems. Our benchmark framework is an irreversible investment model with labor-leisure choice. The GTI algorithm is simple to implement and provides advantages in terms of speed relative to Howard (1960)’s improvement algorithm. A second application on a heterogeneous-agents incomplete-markets model further explores the performance of GTI.
Implementing the Modified Golden Rule? Optimal Ramsey Capital Taxation with Incomplete Markets Revisited
What is the prescription of Ramsey capital taxation in the long run? Aiyagari (1995) addressed the question in a heterogeneous-agent incomplete-markets (HAIM) economy, showing that a positive capital tax should be imposed to implement the so-called modified golden rule (MGR). This paper revisits the long-standing issue. We first show that the Aiyagari?s result holds if the shadow price of raising government revenues through distorting taxes converges to zero in the limit at the Ramsey optimum. This ?if? is clearly a strong condition. As long as the condition fails to hold, we show (i) there ...
Portfolio choice with house value misperception
Households systematically overvalue or undervalue their houses. We compute house value misperception as the difference between self-reported and market house values. Misperception is sizable, countercyclical, and persistent. We find that a 1 percent increase in house overvaluation results, on average, in a 4.56 percent decrease in the share of risky stock holdings for those households that participate in the stock market. We then build a rational inattention model in which households make decisions based on their perceived level of housing wealth. Numerical simulations generate the effects of ...