This study examines the causal links between energy consumption (EC) and economic development, as measured by Gross Domestic Product (GDP) for four Balkan countries (i.e. Greece, Bulgaria, Romania and Albania) during the period 1980-2009. Energy is a key source of economic growth because many...

We investigate the causal relationship between GDP and different types of energy consumption for the five South Asian Countries; Pakistan, India, Sri Lanka, Bangladesh and Nepal by using Error Correction Model and Toda and Yamamoto (1995) approach. For Pakistan evidence shows that there is...

Models for a continuous risk outcome has a wide application in portfolio risk management and capital allocation. We introduce a family of interval distributions based on variable transformations. Densities for these distributions are provided. Models with a random effect, targeting a continuous...

This work aims at analysing the dynamics of macroeconomic fluctuations in Cameroon, using a semi-structural VAR to determine the sources of its macroeconomic fluctuations. The results obtained point out that the macroeconomic fluctuations in Cameroon, even though influenced by external shocks,...

We propose a new model for transaction data that accounts jointly for the time duration between transactions and for the discreteness of the intraday stock price changes. Duration is assumed to follow a stochastic conditional duration model, while price discreteness is captured by an...

Negative prices for electricity are a novelty in European power markets. At the German EEX spot market negative hourly prices have since occurred frequently, down to values as extreme as minus several hundred €/MWh. However, in some non-European markets as USA, Australia and Canada, negative...

This is a summary of the paper entitled : “The Mean Squared Prediction Error Paradox”. In that paper, we show that traditional comparisons of Mean Squared Prediction Error (MSPE) between two competing forecasts may be highly controversial. This is so because when some specific conditions of...

This draft is a summary of the paper entitled: Forecasting Fuel Prices with the Chilean Exchange Rate. In that paper we show that the Chilean exchange rate has the ability to predict the returns of oil prices and of three additional oil-related products: gasoline, propane and heating oil. The...

We propose a broad class of count time series models, the mixed Poisson integer-valued stochastic intensity models. The proposed specification encompasses a wide range of conditional distributions of counts. We study its probabilistic structure and design Markov chain Monte Carlo algorithms for...

In this paper, we attempt to show the validity and limits of univariate time series modeling applied to annual production of sugar in Mauritius form 1879 to 1987. We analyse the series through the main components of long-term growth and stationary dynamics of short-term coupled with the impact...