This paper employs a Time-Varying Parameter Vector Autoregression Directional-Spillover (TVP-VAR-DY) model to investigate the dynamic spillover effects among China's energy, real estate, and stock markets from 2013 to 2023, with a focus on the impact of extreme events. The findings show that the...

This study deals with the evolution of fuels' prices over time in the EU. The central research inquiry revolves around whether there exists any correlation among the trajectories followed by national prices in the gasoline and diesel markets. The EU, and more specifically the Euro-Area, by its...

Since the deregulation of electricity markets in the 1990s, U.S. power grids have witnessed the creation of an increasingly diverse suite of financial instruments designed to mitigate risks caused by underlying generation and consumption patterns. However, the nature of risks is shifting rapidly...

We propose two robust bootstrap-based simultaneous inference methods for time series models featuring time-varying coefficients and conduct an extensive simulation study to assess their performance. Our exploration covers a wide range of scenarios, encompassing serially correlated,...

This paper proposes a game-theoretic model to analyze the strategic behavior of inc-dec gaming in market-based congestion management (redispatch). We extend existing models by considering incomplete information about competitors' costs and a finite set of providers. We find that inc-dec gaming...

In this paper, we examine energy demand in a group of Latin American regions using a fractional integration approach. Employing annual data from 1965 to 2023 on primary energy consumption in exajoules (EJ) and per capita consumption in gigajoules (GJ), we investigate the persistence and...

This paper investigates the macroeconomic impacts of structural oil price shocks by employing a Global Vector Autoregression (GVAR) framework, utilizing the structural shocks as identified by Baumeister and Hamilton (2019). Our analysis differentiates among three types of oil shocks: economic...

The paper examines the price volatility, key determinants, and autoregressive distributed lag (ARDL) framework of Romania's Intraday Continuous Market (IDC) during the summer months. The stability of the ARDL-ECM coefficients is assessed using the cumulative sum (CUSUM) test. We explore the...

This study explores the intricate links between remittance inflow and energy consumption in South Asia, a region characterized by high levels of migration abroad and remittance inflows. The present study provides a thorough analysis of vigorous energy utilization in the context of South Asian...

The rapid increase in global energy demand and the shift towards sustainable energy sources have highlighted the need for more efficient, transparent, and decentralized energy management systems. This study presents a novel blockchain-enabled marketplace designed to enhance energy trading and...

The energy sector, as a major source of carbon emissions, has a significant impact on the operation of the carbon market and the management of carbon emissions. With the introduction of the "dual carbon" goals, the Chinese government has actively implemented measures to reduce carbon emissions,...

This paper introduces a novel Bayesian reverse unrestricted mixed-frequency model applied to a panel of nine European electricity markets. Our model analyzes the impact of daily fossil fuel prices and hourly renewable energy generation on hourly electricity prices, employing a hierarchical...

In 2021 and particularly in 2022, gas prices rose sharply in Europe due to Russia's invasion of Ukraine and the previous throttling of Russian gas supply to Western Europe. Because of the merit-order system, this also led to an increase in electricity prices in Austria and in many other EU...

Aggregate price shocks can lead to significant inequality in losses both across and within income groups. This creates a trade-off between supporting households through subsidies, which target those most affected but introduce inefficiencies, and transfers, which are less distortionary but...

We create a large meta-dataset of price elasticities of energy demand for heating and cooling in buildings, comprising close to 5000 price elasticity estimates including study and observation characteristics from more than 400 primary studies. We find robust and strong signs of p-hacking and...