We develop a dynamic model to study the interaction between obfuscation and investor sophistication in retail financial markets. Taking into account different learning mechanisms within the investor population, we characterize the optimal timing of obfuscation for a profit-maximizing monopolist....

We analytically show that a common across rich/poor individuals Stone-Geary utility function with subsistence consumption in the context of a simple two-asset portfolio-choice model is capable of qualitatively and quantitatively explaining: (i) the higher saving rates of the rich, (ii) the...

This paper analyzes optimal hedging of a tradable risk (e.g. price risk or exchange rate risk) with forward contracts in the presence of untradable inflation risk. Utility is defined over real wealth. Optimal forward positions are derived relative to a given initial exposure in the tradable...

The most recent financial crisis highlights the importance of event risks and the ensuing market illiquidity and worsening investment opportunity set for optimal portfolio selection. However, the existing portfolio selection literature does not consider the joint impact of these risks. In this...

The financial crisis of 2008 cut deeply into the retirement savings of most retirees and those who are soon to retire. Add to this the clear trends of longer life expectancies and more active retirements and it becomes clear that portfolios must be structured to minimize the risk of asset...

We study a continuous-time model of consumption and portfolio selection with limited commitment in a stochastic environment. The credit constraints of a household are determined endogenously in the credit market where creditors know that the household is not committed to payment of debt. By...

We study the consumption and investment model under time-varying liquidity constraints (TVLC) that are widely used in reality. We first develop a martingale method to analyze the case in which the borrowing limit is specified by the debt-to-income ratio limit and then extend this framework to...