By Fred Espen Benth, Giulia Di Nunno
These lawsuits provide a variety of peer-reviewed learn and survey papers through a few of the optimum overseas researchers within the fields of finance, strength, stochastics and danger, who current their newest findings on topical difficulties. The papers disguise the parts of stochastic modeling in power and fiscal markets; risk management with environmental elements from a stochastic keep an eye on viewpoint; and valuation and hedging of derivatives in markets ruled via renewables, all of which additional increase the idea of stochastic research and mathematical finance. The papers have been awarded on the first convention on “Stochastics of Environmental and fiscal Economics (SEFE)”, being a part of the task within the SEFE examine crew of the Centre of complex research (CAS) on the Academy of Sciences in Oslo, Norway in the course of the 2014/2015 educational year.
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Extra info for Stochastics of Environmental and Financial Economics: Centre of Advanced Study, Oslo, Norway, 2014-2015
J. Bus. Econ. Stat. 24(2), 127–161 (2006) 30. : Stochastic modelling of turbulence: with applications to wind energy. D thesis. Aarhus University (2012) 31. : A causal continuous-time stochastic model for the turbulent energy cascade in a helium jet flow. J. Turbul. 14(11), 1–26 (2014) 32. : The random integral representation conjecture a quarter of a century later. Lith. Math. J. 51, 362–369 (2011) 33. : Progress in the statistical theory of turbulence. J. Marine Res. 7, 252–264 (1948) 34. : Stochastic calculus with respect to gaussian processes (2014).
Stat. 10, 921–970 (2013) 13. : Selfdecomposable fields. (In preparation, 2015) 14. : Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics. J. Royal Stat. Soc. 63, 167–241 (2001) 15. : Levy-driven Models with volatility. (In preparation, 2015) 16. : Time change and universality in turbulence. In: Research Report 15, Thiele Centre for Applied Mathematics in Natural Science, Aarhus University. (2006) Some Recent Developments in Ambit Stochastics 25 17. : Ambit processes; with applications to turbulence and tumour growth.
Its Appl. 52, 372–388 (2008) 19. : Brownian semistationary processes and volatility/intermittency. , Schachermeyer, W. ) Advanced financial modelling. Radon Series on Computational and Applied Mathematics, vol. 8. pp. 1–26. W. de Gruyter, Berlin (2009) 20. : Incremental similarity and turbulence. ) (2015) 21. : Time change and Universality in turbulence and finance. In: Research Report 18, Thiele Centre for Applied Mathematics in Natural Science, Aarhus University. (2006) 22. : Change of Time and Change of Measure.