We use mean-variance analysis with short selling constraints to diagnose the effects of the recent global financial crisis by evaluating the potential benefits of international diversification in the search for ‘safe havens’. We use stock index data for a sample of developed,...

L'information sectorielle permet-elle de mieux comprendre le tableau des flux de trésorerie d'un groupe coté ? Si cette question de recherche intéresse tous les praticiens de la finance, elle sensibilise avant tout les dirigeants de la firme sur le contenu et la forme des informations à...

L'objet de ce papier est de s'interroger sur la performance financière des banques mesurée d'un point de vue comptable. A partir d'une étude menée sur dix ans auprès d'un échantillon constitué des 50 principales banques européennes, nous testons s'il est possible de déceler des...

This paper attempts to clarify the influence of time on trader behaviour in an electronic order book context. Our research was conducted on the Spanish Financial Futures market over one business week in 1996. We present a simple ACD (Autoregressive Conditional Duration) model to determine the...

Initial public offerings in China are distinguished from IPOs in other markets by their extremely high abnormal initial returns and so-called 'Chinese Characteristics'. We examine the effect on IPO underpricing and short-run performance of significant changes in Chinese IPO regulations...

We use mean-variance analysis with short selling constraints to diagnose the effects of the recent global financial crisis by evaluating the potential benefits of international diversification in the search for 'safe havens'. We use stock index data for a sample of developed, advanced-emerging...

We use mean-variance analysis with short selling constraints to diagnose the effects of the recent global financial crisis by evaluating the potential benefits of international diversification in the search for ‘safe havens’. We use stock index data for a sample of developed,...

Since the first multi-agents based market simulations in the nineties, many different artificial stock market models have been developped. There are mainly used to reproduce and understand real markets statistical properties such as fat tails, volatility clustering and positive auto-correlation...

Randomness and regularities in Finance are usually treated in probabilistic terms. In this paper, we develop a completely different approach in using a non-probabilistic framework based on the algorithmic information theory initially developed by Kolmogorov (1965). We present some elements of...

Since the first multi-agents based market simulations in the nineties, many different artificial stock market models have been developped. There are mainly used to reproduce and understand real markets statistical properties such as fat tails, volatility clustering and positive auto-correlation...