The goal of the paper is to review the last 35 years of continuous-time finance by focusing on two major advances: (i) The powerful elegance of the martingale representation for primitive assets and attainable contingent claims in more and more general settings, thanks to the probabilistic tool...

The exceptional rise in government deficits following the subprime crisis, the recent commodity price spikes and the increase in inflation volatility have revived the debate on medium to long-term resurgence of inflation. Using a vector-autoregressive model, this paper investigates the...

Size and book to market ratio are both highly correlated with the average returns of common stocks. Fama and French (1993) argue that these effects are proxies for factors of risk. In this study, we try to test the three factor model of Fama and French and the Capital Asset Pricing Model on the...

This article deals with the time-series variation in average sin stock returns – returns on publicly-traded companies involved in producing tobacco, alcohol, and gaming. Next to nothing has been written about this class of stocks, especially on the European stock market. The hypothesis I...

We give characterizations of asymptotic arbitrage of the first and second kind and of strong asymptotic arbitrage for a sequence of financial markets with small proportional transaction costs λ n on market n, in terms of contiguity properties of sequences of equivalent probability measures...

In financial economics risk-return tradeoffs show how expected rates of return and consequently asset prices are altered in response to changes in the exposure to the underlying shocks that impinge in the economy. In these lectures we will: (i) Present some of the recent literature that is...

This paper applies real options and mean–variance portfolio theories to analyze the electricity generation planning into presence of nuclear power plant for the Tunisian case. First, we analyze the choice between fossil fuel and nuclear production. A dynamic model is presented to illustrate...

Testing for normality is of paramount importance in many areas of science since the Gaussian distribution is a key hypothesis in many models. As the use of semi–moments is increasing in physics, economics or finance, often to judge the distributional properties of a given sample, we propose a...