Implications of Heterogeneity in Preferences, Beliefs, and Asset Trading Technologies for the Macroeconomy

Working Paper: NBER ID: w20328

Authors: Yili Chien; Harold L. Cole; Hanno Lustig

Abstract: This paper extends the methodology developed in Chien, Cole and Lustig (2011 & 2012) (hereafter CCL2011 and CCL2012, respectively) to analyze and compute the equilibria of economies with heterogeneous agents who have different asset trading technologies and are subject to both aggregate and idiosyncratic income risk. The different asset trading technologies, which are designed to replicate the portfolio behavior seen in the data, fall into two classes. Active traders manage the composition of their portfolios among a given set of assets in addition to choosing how much to save. Passive traders take their portfolio composition as given and choose only how much to save. There can be a wide variety of different cases within each classes. For active traders, the trading technology varies depending on the set of assets that they can use, while for passive traders it varies with the specific portfolio composition rule. In CCL2011 and CCL2012, all of our agents had to have the same CRRA flow utility functions, discount rates, and beliefs. In this extension, this restriction is relaxed greatly extending the set of economies to which our method applies. This richer degree of heterogeneity allows the model to match a number of key features of the data.

Keywords: Heterogeneity; Preferences; Beliefs; Asset Trading Technologies

JEL Codes: E21; E44; G11; G12


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Heterogeneous preferences and beliefs (D80)Macroeconomic equilibria (D59)
Belief heterogeneity among active traders (D80)Countercyclical volatility of the market price of risk (mpr) (E32)
Traders mistiming the market (G14)Misestimation of risks (D81)
Incorrect beliefs or lower discount factors (D15)Strong precautionary saving motivations at low wealth levels (E21)
Changes in risk aversion (D11)Impact on asset pricing and wealth distribution (G19)

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