Lars A. Lochstoer
University of California at Los Angeles
Institutional Affiliation: University of California at Los Angeles
NBER Working Papers and Publications
|December 2018||Conditional Dynamics and the Multi-Horizon Risk-Return Trade-Off|
with Mikhail Chernov, Stig R. H. Lundeby: w25361
We propose testing asset-pricing models using multi-horizon returns (MHR). MHR serve as powerful source of conditional information that is economically important and not data-mined. We apply MHR-based testing to linear factor models. These models seek to construct the unconditionally mean-variance efficient portfolio. We reject all state-of-the-art models that imply high maximum Sharpe ratios in a single-horizon setting. Thus, the models do a poor job in accounting for the risk-return trade-off at longer horizons. Across the different models, the mean absolute pricing errors associated with MHR are positively related to the magnitude of maximal Sharpe ratio in the single-horizon setting. Model misspecification manifests itself in strong intertemporal dynamics of the factor loadings in the ...
|December 2013||Parameter Learning in General Equilibrium: The Asset Pricing Implications|
with Pierre Collin-Dufresne, Michael Johannes: w19705
Parameter learning strongly amplifies the impact of macro shocks on marginal utility when the representative agent has a preference for early resolution of uncertainty. This occurs as rational belief updating generates subjective long-run consumption risks. We consider general equilibrium models with unknown parameters governing either long-run economic growth, the variance of shocks, rare events, or model selection. Overall, parameter learning generates long-lasting, quantitatively significant additional macro risks that help explain standard asset pricing puzzles.
Published: Pierre Collin-Dufresne & Michael Johannes & Lars A. Lochstoer, 2016. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," American Economic Review, vol 106(3), pages 664-698.
|March 2011||Limits to Arbitrage and Hedging: Evidence from Commodity Markets|
with Viral V. Acharya, Tarun Ramadorai: w16875
Motivated by the literature on limits-to-arbitrage, we build an equilibrium model of commodity markets in which speculators are capital constrained, and commodity producers have hedging demands for commodity futures. Increases (decreases) in producers' hedging demand (speculators' risk-capacity) increase hedging costs via price-pressure on futures, reduce producers' inventory holdings, and thus spot prices. Consistent with our model, producers' default risk forecasts futures returns, spot prices, and inventories in oil and gas market data from 1980-2006, and the component of the commodity futures risk premium associated with producer hedging demand rises when speculative activity reduces. We conclude that limits to financial arbitrage generate limits to hedging by producers, and affect bo...
“Limits to Arbitrage and Hedging: Evidence from Commodity Markets” with Lars Lochstoer and Tarun Ramadorai, forthcoming, Journal of Financial Economics. citation courtesy of