Explore the words cloud of the ENEFOR project. It provides you a very rough idea of what is the project "ENEFOR" about.
The following table provides information about the project.
Coordinator |
PANTEIO PANEPISTIMIO KOINONIKON KAIPOLITIKON EPISTIMON
Organization address contact info |
Coordinator Country | Greece [EL] |
Project website | http://enefor.eu |
Total cost | 164˙653 € |
EC max contribution | 164˙653 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2014 |
Funding Scheme | MSCA-IF-EF-ST |
Starting year | 2015 |
Duration (year-month-day) | from 2015-04-06 to 2017-04-05 |
Take a look of project's partnership.
# | ||||
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1 | PANTEIO PANEPISTIMIO KOINONIKON KAIPOLITIKON EPISTIMON | EL (KALLITHEA ATHINA) | coordinator | 164˙653.00 |
Oil price and oil price volatility forecasts are of major importance, given the oil market is well crowded by participants who proceed to decisions based on these forecasts (e.g. oil traders, monetary policy authorities, etc). The current state-of-the-art forecasting techniques, though, (i) involve a trade-off among internal consistency, forecasting accuracy and easiness to communicate aspects and (ii) do not use ultra high frequency data. Thus, this exciting and innovative project aims to develop new econometric model frameworks to forecast oil price and oil price volatility, which will be successful in enhancing internal consistency, forecasting accuracy and easiness to communicate extracting added-value (in terms of predictability) information from the ultra high sampling frequency. In addition, this project aims to use the forecasted oil price volatility to predict the economic policy uncertainty in Europe, given that oil price shocks exert significant impact on the effectiveness of economic policy. This project will allow the researcher to advance his existing scientific and transferable skills through the cutting-edge training in the state-of-the-art forecasting techniques, as well as, in programming, consultancy and policy formulation skills. The outcome of this training (i) will provide the fellow with an invaluable opportunity for the development of a pioneering research agenda and (ii) will position him as an internationally recognised scholar that contributes to research excellence in Europe. The established capacity of the fellow as an independent researcher in the area of energy economics, the expertise of the scientist-in-charge in state-of-the-art forecasting techniques and the infrastructure of the host organisation offer great complementarities, which will allow these highly innovative model frameworks to be realised. This project will have a great impact not only to the researcher, but also to the host organisation and to the European Research Area
year | authors and title | journal | last update |
---|---|---|---|
2016 |
Rustam Boldanov, Stavros Degiannakis, George Filis Time-varying correlation between oil and stock market volatilities: Evidence from oil-importing and oil-exporting countries published pages: 209-220, ISSN: 1057-5219, DOI: 10.1016/j.irfa.2016.10.002 |
International Review of Financial Analysis 48 | 2019-07-24 |
2018 |
Nikolaos Antonakakis, Juncal Cunado, George Filis, David Gabauer, Fernando Perez de Gracia Oil volatility, oil and gas firms and portfolio diversification published pages: 499-515, ISSN: 0140-9883, DOI: 10.1016/j.eneco.2018.01.023 |
Energy Economics 70 | 2019-07-24 |
2017 |
Stavros Degiannakis, George Filis Forecasting oil price realized volatility using information channels from other asset classes published pages: 28-49, ISSN: 0261-5606, DOI: 10.1016/j.jimonfin.2017.05.006 |
Journal of International Money and Finance 76 | 2019-07-24 |
2018 |
Stavros Degiannakis, George Filis, Sofia Panagiotakopoulou Oil price shocks and uncertainty: How stable is their relationship over time? published pages: , ISSN: 0264-9993, DOI: 10.1016/j.econmod.2018.01.004 |
Economic Modelling | 2019-07-24 |
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The information about "ENEFOR" are provided by the European Opendata Portal: CORDIS opendata.