An application of extreme value theory to cryptocurrencies
By Konstantinos Gkillas, Paraskevi Katsiampa. 2018
236 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Information Systems
View Paper: https://www.semanticscholar.org/paper/cb96fef2314995a6a2a559524aa32ad9a3750935
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Emmanouil Platanakis
- Andrew Urquhart
- Charles M. S. Sutcliffe
- Paraskevi Katsiampa
- Pengfei Wang
- Dehua Shen
- Tetsuya Takaishi
- Ahmet Sensoy
In Information Systems
- Emmanouil Platanakis
- Andrew Urquhart
- Charles M. S. Sutcliffe
- Paraskevi Katsiampa
- Pengfei Wang
- Dehua Shen
- Tetsuya Takaishi
- Ahmet Sensoy
Citations in the corpus
- Booms, busts and heavy-tails: The story of Bitcoin and cryptocurrency markets? (2018, unknown): “From equations (12) and (9) it follows that μ(t) = μ+ 4σ − 4σ(1− F (t)) π 4 .”
- Optimal vs naïve diversification in cryptocurrencies (2018, background): “…2018), the hedging and diversification benefits of Bitcoin (Bouri et al 2017a; Corbet et al 2018a), the unique features of cryptocurrencies (Gkillas and Katsiampa 2018; Phillip et al 2018), the relationship between transaction activity and Bitcoin returns (Koutmos 2018) and price…”
- An empirical investigation of volatility dynamics in the cryptocurrency market (2019, unknown): “, 2018), heavy tail behaviour (Osterrieder and Lorenz, 2017; Osterrieder et al., 2017; Gkillas and Katsiampa, 2018; Phillip et al., 2018) and leverage effects (Phillip et al.”