no code implementations • 3 May 2022 • Taras Bodnar, Vilhelm Niklasson, Erik Thorsén
In this paper, a new way to integrate volatility information for estimating value at risk (VaR) and conditional value at risk (CVaR) of a portfolio is suggested.
1 code implementation • 2 Dec 2021 • Jesper Muren, Vilhelm Niklasson, Dmitry Otryakhin, Maxim Romashin
This paper is devoted to the problem of detection of forest and non-forest areas on Earth images.
no code implementations • 3 Dec 2020 • Taras Bodnar, Mathias Lindholm, Vilhelm Niklasson, Erik Thorsén
By using simulation and real market data, we compare the new Bayesian approach to the conventional method by studying the performance and existence of the global minimum VaR portfolio and by analysing the estimated efficient frontiers.