This paper analyzes investors’ portfolio selection problems in a two-period dynamic model of Knightian uncertainty. We account for the existence of portfolio inertia in this two-period framework. Furthermore, by incorporating investors’ up-dating behavior, we analyze how new observation in...

We consider individual’s portfolio selection problems. Introducing the concept of ambiguity, we show the existence of portfolio inertia under the assumptions that decision maker’s beliefs are captured by an inner measure, and that her preferences are represented by the Choquet integral with...

This paper proposes a novel test of zero pricing errors for the linear factor pricing model when the number of securities, N, can be large relative to the time dimension, T, of the return series. The test is based on Student t tests of individual securities and has a number of advantages over...

This paper develops a model of banking to study the risk-taking consequences of contingent capital (CC). It begins with the observation that partial conversion of CC provides its owners with a portfolio of equity and debt. Since the former (latter) asset typically induces a preference for risk...

Taxes on capital gains are deferred until realization, whereas dividend taxes are levied upon accrual. This often makes dividends tax-disadvantaged relative to share repurchases, which leads to the payout puzzle: why do firms pay dividends? This paper develops a model of corporate payout policy...

This study experimentally investigates the impact of the lack of arbitrage opportunities across different assets on the realization of the law of one price. Our experiment is based on the framework established by Charness and Neugebauer (2019) where participants, acting as traders, are involved...

This paper investigates the individual outcomes of irrational thinking, including paranormality and non-scientific thinking. These modes of thinking are identified by factor analysis from a 2008 survey. Income and happiness are used as measures of performance. Empirical results reveal that...

In this paper, we propose a novel consistent estimation method for the approximate factor model of Chamberlain and Rothschild (1983), with large cross-sectional and timeseries dimensions (N and T, respectively). Their model assumes that the r (fi N) largest eigenvalues of data covariance matrix...

In this paper, we consider statistical inference for high-dimensional approximate factor models. We posit a weak factor structure, in which the factor loading matrix can be sparse and the signal eigenvalues may diverge more slowly than the cross-sectional dimension, N. We propose a novel...