In this paper, we study the effect of proportional transaction costs on consumption-portfolio decisions and asset prices in a dynamic general equilibrium economy with a financial market that has a single-period bond and two risky stocks, one of which incurs the transaction cost. Our model has...

We investigate how transaction costs change the number of characteristics that are jointly significant for an investor's optimal portfolio, and hence, how they change the dimension of the cross section of stock returns. We find that transaction costs increase the number of significant...

In this paper, we study the effect of proportional transaction costs on consumption-portfolio decisions and asset prices in a dynamic general equilibrium economy with a financial market that has a single-period bond and two risky stocks, one of which incurs the transaction cost. Our model has...

Our objective is to investigate the effect of model misspecification on mean-variance portfolios and to show how asset-pricing theory and asymptotic analysis (for large number of assets) can be used to provide powerful solutions to mitigate misspecification. The starting point of our analysis is...

Does the choice of weighting scheme used to form test portfolios influence inferences drawn from empirical tests of asset pricing? To answer this question we first show that, with monthly rebalancing, an equal-weighted portfolio outperforms a value-weighted portfolio in terms of total mean...

In this paper, we study the effect of proportional transaction costs on consumption- portfolio decisions and asset prices in a dynamic general equilibrium economy with a financial market that has a single-period bond and two risky stocks, one of which incurs the transaction cost. Our model has...

Our objective is to develop a methodology to price the cross section of asset returns. Despite the hundreds of systematic risk factors considered in the literature (``factor zoo''), there is still a sizable pricing error. We show that what is missing in asset-pricing factor models is not...

A fundamental insight in finance is that there is a strong risk-return tradeoff. Moreira and Muir (2017) challenge this by showing that investors can increase Sharpe ratios by reducing exposure to risk factors when their volatility is high. However, Cederburg, O'Doherty, Wang, and Yan (2020)...

We study whether investors can exploit serial dependence in stock returns to improve out-of-sample portfolio performance. We show that a vector-autoregressive (VAR) model captures stock return serial dependence in a statistically significant manner. Analytically, we demonstrate that, unlike...