This paper analyzes the expected life-time utility and the hedging demands in an exchange only, representative agent general equilibrium under incomplete information. We derive an expression for the investor's expected life-time utility, and analyze his hedging demands for intertemporal changes...

This paper studies equilibrium in a pure exchange economy with unobservable Markov switching consumption growth regimes and regime-dependent preferences. Variations in risk attitudes have fundamental effects on the structure of equilibrium. Explicit solutions are provided for the market price of...

When investors have incomplete information, expected returns, as measured by an econometrician, deviate from those predicted by standard asset pricing models by including a term that is the product of the stock's idiosyncratic volatility and the investors' aggregated forecast errors. If...

The paper proposes a framework for large-scale portfolio optimization which accounts for all the major stylized facts of multivariate financial returns, including volatility clustering, dynamics in the dependency structure, asymmetry, heavy tails, and nonellipticity. It introduces a so-called...

We explore the performance of mixed-frequency predictive regressions for stock returns from the perspective of a Bayesian investor. We develop a constrained parameter learning approach for sequential estimation allowing for belief revisions. Empirically, we find that mixed-frequency models...

In this paper, we analyze the differences in annualized capital gains across heterogeneous investor groups in the US housing market, namely owner-occupiers, private investors, as well as short- and long-term institutional investors. Our empirical results link the performance differences to...

We propose a strategy to build portfolios of sovereign securities with progressively declining carbon footprints. Passive investors could use it as a new Paris-consistent benchmark to construct a “net zero” (NZ) portfolio while tracking closely the risk-adjusted returns of a...

We propose that investment strategies should be evaluated based on their net-of-trading-cost return for each level of risk, which we term the "implementable efficient frontier." While numerous studies use machine learning return forecasts to generate portfolios, their agnosticism toward trading...

This paper analyses the links between advances in financial technology, investors’ sophistication, and the composition and returns of their financial portfolios. We develop a simple portfolio choice model under asymmetric information and derive some theoretical predictions. Using detailed...

We use transaction data gathered by a large fintech firm to study retail investors’ investments in cryptocurrencies. Crypto investors tend to be young, male, high-income, and live in wealthy urban areas with high levels of self-employment and low levels of altruism. Crypto investments are...