This note is concerned with two recent agent-based models of speculative dynamics from the literature, one by Gaunersdorfer and Hommes and the other by He and Li. At short as well as long lags, both of them display an autocorrelation structure in absolute and squared returns that comes...

This paper analyzes the impacts of news shocks on macroeconomic volatility. Whereas in any purely forward-looking model, such as the baseline New Keynesian model, anticipation amplifies volatility, we obtain ambiguous results when including a backward-looking component. In addition to these...

In this paper, we consider daily financial data of a collection of different stock market indices, exchange rates, and interest rates, and we analyze their multi-scaling properties by estimating a simple specification of the Markov- switching multifractal model (MSM). In order to see how well...

Multifractal processes have recently been proposed as a new formalism for modelling the time series of returns in finance. The major attraction of these processes is their ability to generate various degrees of long memory in different powers of returns - a feature that has been found in...

This paper studies the volatility implications of anticipated cost-push shocks (i.e. news shocks) in a New Keynesian model under optimal unrestricted monetary policy with forward-looking rational expectations (RE) and backward-looking boundedly rational expectations (BRE). If the degree of...

In this paper we consider daily financial data from various sources (stock market indices, foreign exchange rates and bonds) and analyze their multi-scaling properties by estimating the parameters of a Markov-switching multifractal model (MSM) with Lognormal volatility components. In order to...

This paper studies the volatility implications of anticipated cost-push shocks (i.e. news shocks) in a New Keynesian model with hybrid price setting both under optimal unrestricted and discretionary monetary policy with flexible inflation targeting. If the degree of backward-looking price...

Multi-fractal processes have recently been proposed as a new formalism for modelling the time series of returns in finance. The major attraction of these processes is their ability to generate various degrees of long memory in different powers of returns - a feature that has been found in...

In this paper Efficient Importance Sampling (EIS) is used to perform a classical and Bayesian analysis of univariate and multivariate Stochastic Volatility (SV) models for financial return series. EIS provides a highly generic and very accurate procedure for the Monte Carlo (MC) evaluation of...