The pricing kernel is an important tool for understanding asset prices, expected returns, and investor preferences. However, empirical findings often reveal deviations from theoretical predictions, leading to the so-called "pricing kernel puzzle". This article explores the pricing kernel under...

The neo-Schumpeterian growth models, which appeared in the early 1990s, have ostensibly reintroduced the entrepreneur into mainstream growth theory. However, we show that by ignoring genuine uncertainty and by assuming that profits follow an objectively true and ex ante known probability...

We propose and axiomatize a new model of incomplete preferences under uncertainty, which we call hope-and-prepare preferences. An act is considered more desirable than another when, and only when, both an optimistic evaluation, computed as the welfare level attained in a best-case scenario, and...

Interrelated global crises - climate change, pandemics, loss of ecosystem services and biodiversity - pose risks that demand collective solutions. Uncertainty about others' behavior, coupled with the dependence on some to take collective efforts to mitigate risks for all (e.g. conservation of...

Heterogeneous beliefs among market participants can lead to questionable speculative trading that goes beyond any risk-sharing motives. We demonstrate that such unwarranted betting behavior in market equilibrium can be mitigated by introducing nonlinear pricing for ambiguous contracts, without...

The neo-Schumpeterian growth models, which appeared in the early 1990s, have ostensibly reintroduced the entrepreneur into mainstream growth theory. However, we show that by ignoring genuine uncertainty and by assuming that profits follow an objectively true and ex ante known probability...

Beyond its environmental damage, climate change is predicted to produce significant economic costs. Combining novel high-frequency geospatial temperature data from satellites with measures of economic activity for the universe of US listed firms, this article examines a potentially important...

We introduce and analyze expected balanced uncertain utility (EBUU) theory. A prior and a balanced outcome-set utility characterize an EBUU decision maker. Conditional on a reference or "balancing value," the latter assigns a utility to each outcome-set. The decision maker associates with each...

In this study, we address the ambiguity in portfolio optimization, particularly focusing on the uncertainty related to the statistical parameters governing asset returns. We propose a novel method that combines robust optimization with artificial neural networks (ANNs). Our approach effectively...

This study examined how uncertainty and global risk affect financial markets in emerging economies, focusing on foreign investment, CDS spreads, exchange rates, and stock return volatility. Using over 8.6 million ticker transaction observations and structural vector autoregression (VAR) models,...

Earnings uncertainty is central to most heterogeneous-household models. Yet, there is surprisingly little evidence on how subjective uncertainty is related to consumption behavior. Using unique data from the Survey of Consumer Expectations, we show that the marginal propensity to consume (MPC)...

In prosocial decisions, decision-makers face interpersonal uncertainty - uncertainty about how their choices impact others' utility. We use three approaches to show how it shapes classic patterns of prosocial behavior like ingroup favoritism, merit-based fairness, and self-favoring behavior....

Background: Governments face critical decisions regarding road remediation projects, requiring careful economic evaluation, especially in countries like Slovakia where road infrastructure is crucial for attracting foreign investment. These decisions are complex, involving short-term and...

We present a theory of context-dependent risk preferences under which within-state payoff comparisons and regret aversion shape decisions. Defining the attraction and compromise effect in reference to a state-space-based description of the choice problem, we show that our theory can account for...

In this work, we study a class of stationary mean-field games of singular stochastic control under model uncertainty. The representative agent adjusts the dynamics of an Itô-diffusion via onesided singular stochastic control, aiming to maximize a long-term average expected profit criterion. The...

Despite decades of global attention, effective climate policy implementation remains challenging, with firms and investors often grappling with uncertainty about potential policymaking in addition to actual policy changes. This paper introduces a novel Climate Policy Uncertainty (CPU) index,...

Earnings uncertainty is central to most heterogeneous-household models. Yet, there is surprisingly little evidence on how subjective uncertainty is related to consumption behavior. Using unique data from the Survey of Consumer Expectations, we show that the marginal propensity to consume (MPC)...

We introduce a novel experimental framework, the two-ball Ellsberg gamble, which allows us to explore a wider range of possible drivers of ambiguity attitudes than usually considered by the literature. In an incentivized experiment on a representative sample from the US with 708 participants, we...

Gallice and Monzón (2019) present a natural environment that sustains full cooperation in one-shot social dilemmas among a finite number of self-interested agents. They demonstrate that in a sequential public goods game, where agents lack knowledge of their position in the sequence but can...

In the growing social commerce landscape, addressing seller uncertainty has become critical for fostering consumer trust and enhancing purchase decisions. Seller uncertainty, often driven by information asymmetry and a lack of trust signals, can significantly hinder transactions on these...