This paper studies the nonlinear adjustment between industrial production and carbon prices – coined as ‘the carbon-macroeconomy relationship’ – in the EU 27. We model carbon price returns and industrial production as nonlinear and state-dependent, with dynamics depending on the sign and...

The Ohlson model (OM) builds on the accounting-based residual income valuation (RIV) model for equity valuation then specifies a linear information model (LIM) for the time-series behavior of residual income. As a result, stock price is related through a simple linear formula to current book...

This article proposes an econometric analysis of the demand for mobility in the aviation sector. The role played by different variables (GDP, jet-fuel prices, exogenous shocks, market maturity) on air traffic is estimated using dynamic panel-data modeling. GDP appears to have a positive...

Toward the late 1990s, several research groups independently began developing new, related theories in mathematical finance. These theories did away with the standard stochastic geometric diffusion "Samuelson" market model (also known as the Black-Scholes model because it is used in that most...

This paper constructs a closed set Y in Rl such that for all y in the boundary of Y, Clarke's normal cone to Y at y is equal to Rl+. If Y is the production set of a firm, then the marginal cost pricing rule imposes no restriction. The existence of Y is shown to be equivalent to the existence of...

We consider the discretized version of a (continuous-time) two-factor model introduced by Benth and coauthors for the electricity markets. For this model, the underlying is the exponent of a sum of independent random variables. We provide and test an algori thm, which is based on the celebrated...

Cet ouvrage présente et simule les principaux modèles de volatilité et d'évaluation d'options standards avec une discussion essentiellement centrée autour du smile de volatilité. Le premier chapitre permet d'aborder les modèles de volatilité locale et implicite. Le second chapitre se...

Three processes reflecting persistence of volatility are initially formulated by evaluating three Lévy processes at a time change given by the integral of a mean-reverting square root process. The model for the mean-reverting time change is then generalized to include non-Gaussian models that...

This article proposes a new empirical methodology for computing a cross-market volatility index - coined CMIX - based on the Factor-Dynamic Conditional Correlation (DCC) model, implemented on volatility surprises. This approach solves problems in treating high-dimensional data and estimating...

This paper constitutes the first exercise of nonparametric modeling applied to carbon markets. The framework of analysis is carefully detailed, and the empirical application unfolds in the case of BlueNext spot and ECX futures prices. The data is gathered in daily frequency from April 2005 to...