An enhanced version of a structural model jointly explains benefit claiming, wealth and retirement, including reversals from states of lesser to greater work. The model includes stochastic returns on assets. Estimated with Health and Retirement Study data, it does a better job of predicting...

This paper investigates the effect of the current recession on the near-retirement age population. Data from the Health and Retirement Study suggest that those approaching retirement age (early boomers ages 53 to 58 in 2006) have only 15.2 percent of their wealth in stocks, held directly or in...

This paper uses data from the Health and Retirement Study to explore the mechanism that underlies the robust relation found in the literature between cognitive ability, and in particular numeracy, and wealth, income constant. We have a number of findings. First, the more valuable the pension,...

This paper constructs a structural retirement model with hyperbolic preferences and uses it to estimate the effect of several potential policy changes. Estimated effects of policies are compared under hyperbolic and standard exponential preferences. Sophisticated hyperbolic discounters may...

In this paper we model intra-daily seasonality in the shape of the residual distribution of the standard ACD model, which is estimated using diurnally (seasonally) adjusted duration data. Specifically, for two of the three companies in our sample, the shapes of the residual distribution for...

The Basel II Accord requires that banks and other Authorized Deposit-taking Institutions (ADIs) communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more risk models to measure Value-at-Risk (VaR). The risk estimates of...

Modelling covariance structures is known to suffer from the curse of dimensionality. In order to avoid this problem for forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures that accommodates asymmetry and long memory....

The papers in this special issue of Mathematics and Computers in Simulation are substantially revised versions of the papers that were presented at the 2011 Madrid International Conference on “Risk Modeling and Management” (RMM2011). The papers cover the following topics: currency hedging...

Modelling covariance structures is known to suffer from the curse of dimensionality. In order to avoid this problem for forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures that accommodates asymmetry and long memory....

The paper investigates the impact of jumps in forecasting co-volatility, accommodating leverage effects. We modify the jump-robust two time scale covariance estimator of Boudt and Zhang (2013) such that the estimated matrix is positive definite. Using this approach we can disentangle the...