Pension funds aim to hold assets that match their future liabilities. For this purpose, there is a growing interest in multi-family properties as their returns should be positively related to wage growth and hence pension liabilities. Using data for Sweden over 145 years, we investigate the role...

We study the sensitivity of optimal consumption streams with respect to perturbations of the random endowment. At the leading order, the consumption adjustment does not matter: any choice that matches the budget constraint simply shifts the original utility by the marginal value of the...

We study how plan sponsors choose investment management firms from their opportunity set when delegating $1.6 trillion in assets between 2002 and 2017. Two factors play an influential role in choice: pre-hiring returns, and pre-existing personal connections between personnel at the plan (or...

What do asset managers believe regarding the financial performance of Environmental, Social, and Governance (ESG) investment strategies? We address this question by exploring the relationship between fund managers’ co-ownership and portfolio ESG performance. Managers with more “skin in the...

Our objective is to identify the trading strategy that would allow an investor to take advantage of excessive stock price volatility and sentiment fluctuations. We construct a general-equilibrium model of sentiment. In it, there are two classes of agents and stock prices are excessively volatile...

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...

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...

We introduce an ensemble learning method based on Gaussian Process Regression (GPR) for predicting conditional expected stock returns given stock-level and macro-economic information. Our ensemble learning approach significantly reduces the computational complexity inherent in GPR inference and...

We construct a momentum factor that identifies cross-sectional winners and losers based on a weighting scheme that incorporates all the price data, over the entire lookback period, as opposed to only the first and last price points of the window. The weighting scheme is derived from the...

This article shows that the presence of portfolio constraints can give rise to rational asset pricing bubbles in equilibrium even if there are unconstrained agents in the economy who can bene t from the corresponding limited arbitrage opportunities. Furthermore, it is shown that when they are...