The last 30 years saw substantial increases in wealth inequality and in stock market participation, smaller increases in consumption inequality and the fraction of indebted households, a decline in interest rates and in the expected equity premium, as well as a prolonged stock market boom....

In this paper we study a simple two-period asset pricing model to understand the implications of uninsurable labor income risk and/or borrowing constraints, limited stock market participation, heterogeneous labor income volatilities, and heterogeneous preferences. We appraise the performance of...

This paper studies equilibrium portfolio choice and asset returns using a new model of recursive preferences called optimal risk attitude utility. Our model is an extension of recursive expected utility that allows an individual to optimally select her risk aversion parameter in response to the...

To study intertemporal decisions under risk, we develop a new recursive model of non-expected-utility preferences. The main axiom of our analysis is called mixture aversion, as it captures a dislike of probabilistic mixtures of lotteries. Our representation for mixture-averse preferences can be...

This paper examines the integration of stock markets in Germany, France, Netherlands, Ireland and UK over January 1973-August 2008 at the aggregate market and industry level considering the following industries: basic materials, consumer goods, industrials, consumer services, health care and...

This paper examines the long-run dynamics and the cyclical structure of the US stock market using fractional integration techniques, specifically a version of the tests of Robinson (1994a) which allows for unit (or fractional) roots both at the zero (long-run) and at the cyclical frequencies. We...

We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory counterparts. Since long memory models should have a...

We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory counterparts. Since long memory models should have a...

We consider the problem of ex-ante forecasting conditional correlation patterns using ultra high frequency data. Flexible semiparametric predictors referring to the class of dynamic panel and dynamic factor models are adopted for daily forecasts. The parsimonious set up of our approach allows to...