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Forecasting optimization model of the U.S. coal, energy and emission markets

Jagla, Jan-Hendrik; Westermann, Lutz - In: Operations research proceedings 2007 : selected papers …, (pp. 37-41). 2008

Persistent link: https://www.econbiz.de/10003716029

Can weather variables and electricity demand predict carbon emissions allowances prices? : evidence from the first three phases of the EU ETS

Eslahi, Mohammadehsan; Mazza, Paolo - In: Ecological economics : the transdisciplinary journal of … 214 (2023), pp. 1-14

Persistent link: https://www.econbiz.de/10014452042

Analysis and forecast of the economic climate and price situation, 2007 - 2008

Lei, Chen; Yunfang, Liang; Qiu, Sheng'e - In: The China economy yearbook : analysis and forecast of … 3 (2009), pp. 49-73

Persistent link: https://www.econbiz.de/10009156200

Modeling and forecasting carbon dioxide emission allowance spot price volatility : multifractal vs. GARCH-type volatility models

Segnon, Mawuli; Lux, Thomas; Gupta, Rangan - 2015

This paper applies Markov-switching multifractal (MSM) processes to model and forecast carbon dioxide (CO2) emission price volatility, and compares their forecasting performance to the standard GARCH, fractionally integrated GARCH (FIGARCH) and the two-state Markov-switching GARCH (MS-GARCH)...

Persistent link: https://www.econbiz.de/10011296114

Now-Casting Building Permits with Google Trends

Coble, David - 2017

We propose a useful way to predict building permits in the US, exploiting rich real-time data from web search queries. The time series on building permits is usually considered as a leading indicator of economic activity in the construction sector. Nevertheless, new data on building permits are...

Persistent link: https://www.econbiz.de/10012964103