Munich Personal RePEc Archive

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Group by: Date | Item ID
Number of items: 11.

February 2011

Fantazzini, Dean and Geraskin, Petr (2011): Everything You Always Wanted to Know about Log Periodic Power Laws for Bubble Modelling but Were Afraid to Ask. Forthcoming in: European Journal of Finance

1 February 2011

Fantazzini, Dean and Hook, Mikael and Angelantoni, André (2011): Global oil risks in the early 21st century. Forthcoming in: Energy Policy

2013

Höök, Mikael and Fantazzini, Dean and Angelantoni, André and Snowden, Simon (2013): Hydrocarbon liquefaction: viability as a peak oil mitigation strategy. Forthcoming in: Philosophical Transactions of the Royal Society: A

September 2013

Larsson, Simon and Fantazzini, Dean and Davidsson, Simon and Kullander, Sven and Hook, Mikael (2013): Reviewing electricity production cost assessments. Forthcoming in: Renewable & Sustainable Energy Reviews

2014

Fantazzini, Dean (2014): Editorial for the Special Issue on 'Computational Methods for Russian Economic and Financial Modelling'. Published in: International Journal of Computational Economics and Econometrics , Vol. 1-2, No. 4 (2014): pp. 1-3.

2015

Fantazzini, Dean and Toktamysova, Zhamal (2015): Forecasting German Car Sales Using Google Data and Multivariate Models. Forthcoming in: International Journal of Production Economics (2015)

2016

Fantazzini, Dean and Nigmatullin, Erik and Sukhanovskaya, Vera and Ivliev, Sergey (2016): Everything you always wanted to know about bitcoin modelling but were afraid to ask. Forthcoming in: Applied Econometrics (2016)

6 June 2016

Fantazzini, Dean (2016): The Oil Price Crash in 2014/15: Was There a (Negative) Financial Bubble? Forthcoming in: Energy Policy (2016)

2019

Fantazzini, Dean and Shangina, Tamara (2019): The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades. Forthcoming in: Applied Econometrics

Fantazzini, Dean and Zimin, Stephan (2019): A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies. Forthcoming in: Journal of Industrial and Business Economics

April 2019

Bazhenov, Timofey and Fantazzini, Dean (2019): Forecasting Realized Volatility of Russian stocks using Google Trends and Implied Volatility. Published in: Russian Journal of Industrial Economics , Vol. 1, No. 12 (2019): pp. 79-88.

This list was generated on Sat Oct 19 23:20:21 2019 CEST.
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