Increasing block tariffs seek a cross-subsidy mechanism between the water network users, based on the common assumption of weak water price elasticity. In Manaus, the capital city of the Brazilian state of Amazonas where most of the 1.6 million dwellers are supplied through the municipal water...

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 examines empirically whether nonlinearities play a significant role in the modeling of the carbon price. We highlight the limits of previous carbon markets analyses based essentially on a linear econometric framework. Instead, we propose to revisit the main results on carbon pricing...

The interdependency of socio-ecological systems and the increased reach of human activity have led to major political and scientific challenges in the governance of environmental resources. This chapter reviews the state of our knowledge on the matter. The chapter begins by discussing the...

We study the impact of competition and environmental policy (feed-in tariff vs. the EU ETS) on investment, CO2 emissions and welfare in an electricity sector. We consider different market structures (a planner who maximises social welfare vs. duopoly) and two types of consumers (those whose...

This article is centred on the volatility of commodity prices. It presents the instruments offering a protection against volatility and shows how they can be employed. The first section exposes these derivative instruments. It distinguishes them in step with the need they respond and the way...

Outliers can lead to model misspecifications, poor forecasts and invalid inferences. Their identification and correction is therefore an important objective of financial modeling. This paper introduces a simple method to detect outliers in a financial series. It uses an AR(1)–GARCH(1,1) model...

It seems quite natural for economists to decompose a series with several indexes (time, industry, etc.) into several series with one index a piece, each of which will be analyzed separately. This operation has generally been made in a linear way in the traditional analysis of variance, possibly...

The article focuses on the leverage effect modeling as a form of stochastic processes through the volatility model. It states that leverage effect is characterized by a subsequent stock price dropping and increase in volatility. It mentions that the first model that describes the volatility and...