The paper investigates the dynamic relationship between renewable energy usage and trade performance in sub-Saharan Africa (SSA), while considering the conditioning role of corruption control, regulatory quality, and the private sector access to finance. Focusing on 42 SSA countries for the...

This paper focuses on forecasting quarterly energy prices of commodities, such as oil, gas and coal, using the Global VAR dataset proposed by Mohaddes and Raissi (2018). This dataset includes a number of potentially informative quarterly macroeconomic variables for the 33 largest economies,...

This paper investigates the integration among sub-sectors within the environmentally friendly stock market and the integration between these sub-sectors and other financial asset classes. Using the recently developed cross-quantilogram framework, we contribute to the literature by quantifying...

This paper investigates the price effect of EPC ratings on the residential dwelling prices in Wales. It examines the capitalisation of energy efficiency ratings into house prices using two approaches. The first adopts a cross-sectional framework to investigate the effect of EPC band (and EPC...

The environmental performance of a building is rapidly gaining importance as a metric in real estate investments. This study investigates the price effects of environmental certification on commercial real estate assets. It is argued that there are likely to be three main drivers of price...

The Internet Appendix consists of three sections. Section A shows data sources and detailed data processing procedures. In Section B, we outline seven forecasting models. Last, Section C represents the empirical results

This paper explores the possibility of the potential usage of machine learning models in the field of realized volatility forecasting of crude oil with a vast variety of empirical analyses and robustness checks. Although the conventional heterogeneous autoregressive (HAR) model is widely...

This paper reports evidence of intraday return predictability, consisting of both intraday momentum and reversal, in the cryptocurrency market. Using high-frequency price data on Bitcoin from March 3, 2013, to May 31, 2020, it shows that the patterns of intraday return predictability change in...