EGU23-14416
https://doi.org/10.5194/egusphere-egu23-14416
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Estimating the risk of large investments using Hurst-Kolmogorov dynamics in interest rates

David Markantonis, Panayotis Dimitriadis, G.-Fivos Sargentis, Theano Iliopoulou, Nikos Mamassis, and Demetris Koutsoyiannis
David Markantonis et al.
  • Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens

Economies of scale, which minimize the cost of the unit, are vital for the prosperity of the society and the progress of civilizations. In order to achieve economies of scale, large investments have to be made. However, investments contain always a risk.  An important evaluation of the investment’s risk could be done by interest rates. In this study, we update our recently presented methodology from utilizing Markov assumptions and instead for the timeseries generation algorithm, we employ a stochastic model following the Hurst-Kolmogorov dynamics . The updated methodology is applied for interest rates in various historical periods and compared with the Markov-based one.

How to cite: Markantonis, D., Dimitriadis, P., Sargentis, G.-F., Iliopoulou, T., Mamassis, N., and Koutsoyiannis, D.: Estimating the risk of large investments using Hurst-Kolmogorov dynamics in interest rates, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-14416, https://doi.org/10.5194/egusphere-egu23-14416, 2023.

Supplementary materials

Supplementary material file