Comment on "Pricing of financial derivatives based on the Tsallis statistical theory" by Zhao, Pan, Yue and Zhang. (July 2021)
- Record Type:
- Journal Article
- Title:
- Comment on "Pricing of financial derivatives based on the Tsallis statistical theory" by Zhao, Pan, Yue and Zhang. (July 2021)
- Main Title:
- Comment on "Pricing of financial derivatives based on the Tsallis statistical theory" by Zhao, Pan, Yue and Zhang
- Authors:
- Tsallis, Constantino
Borges, Ernesto P. - Abstract:
- Highlights: Pricing of financial derivatives. q-Gaussian distribution. Nonadditive entropy. Abstract: In their recent paper, Zhao, Pan, Yue and Zhang [Chaos, Solitons and Fractals 142, 110463 (2021)] have analyzed the distribution of daily returns of the 50ETF index and concluded that "the empirical distribution rejects to obey a Gaussian distribution or a Tsallis distribution". We exhibit here that, whereas their statement is certainly correct in what concerns the Gaussian distribution, it is sensibly wrong in what concerns what they refer to as "Tsallis distribution". Indeed, we show here that their 'real' data are quite satisfactorily fitted by p ( x ) = M e q − β x 2 with ( q, β, M ) = ( 1.487, 7550, 40 ) .
- Is Part Of:
- Chaos, solitons and fractals. Volume 148(2021)
- Journal:
- Chaos, solitons and fractals
- Issue:
- Volume 148(2021)
- Issue Display:
- Volume 148, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 148
- Issue:
- 2021
- Issue Sort Value:
- 2021-0148-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-07
- Subjects:
- Chaotic behavior in systems -- Periodicals
Solitons -- Periodicals
Fractals -- Periodicals
Chaotic behavior in systems
Fractals
Solitons
Periodicals
003.7 - Journal URLs:
- http://www.elsevier.com/journals ↗
http://www.sciencedirect.com/science/journal/09600779 ↗ - DOI:
- 10.1016/j.chaos.2021.111026 ↗
- Languages:
- English
- ISSNs:
- 0960-0779
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3129.716000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17266.xml