This paper assesses the quantitative impact of ambiguity on the historically observed financial asset returns and prices. The single agent, in a dynamic exchange economy, treats the conditional uncertainty about the consumption and dividends next period as ambiguous. We calibrate the agent's...

This is a draft Chapter from a book by the authors on “Levy Driven Volatility Modelsâ€.

We discuss computational aspects of likelihood-based estimation of unvariate ARFIMA (p,d,q) models. We show how efficient computation and simulation is feasible, even for large samples. We also discuss the implementation of analytical bias corrections.

We infer unobserved strategies from the observed actions of buyers in posted-offer market experiments to evaluate their effectiveness against a monopolist. While the strategies of one-quarter of the buyers in our experiments correspond to the game-theoretic prediction of passive price-taking,...

This paper investigates the success of the well-known reverse-shooting and forward-shooting algorithms in finding stable solutions for linear macroeconomic models that both possess the particular property known as saddle-path instabiity and also have highly cyclic dynamic properties. It is...

This paper examines the efficiency of stock based compensation by valuing stock and options from the executive`s point of view. Companies give compensation in the form of stock in order to align incentives by providing a link between executive wealth and the stock price performance of the...

I discuss models which allow the local level model, which rationalised exponentially weighted moving averages, to have a time-varying signal/noise ratio.  I call this a martingale component model.  This makes the rate of discounting of data local.  I show how to handle such models...

Optimal climate policy should act in a precautionary fashion to deal with tipping points that occur at some future random moment. The optimal carbon tax should include an additional component on top of the conventional present discounted value of marginal global warming damages. This component...

Estimating the covariance and correlation between assets using high frequency data is challenging due to market microstructure effects and Epps effects.  In this paper we extend Xiu's univariate QML approach to the multivariate case, carrying out inference as if the observations arise from an...

Monitoring corruption typically relies on top-down interventions aimed at increasing the probability of external controls and the severity of punishment.  An alternative approach to fighting corruption is to induce bottom-up pressure for reform.  Recent studies have shown that both top-down...