Cite This        Tampung        Export Record
Judul Application of Fractal Processes and Fractional Derivatives in Finance / Leung Lung Chan (editor)
Pengarang Chan, Leung Lung (editor)
Penerbitan MDPI, 2024
Deskripsi Fisik 250 p.
ISBN 978-3-7258-1092-5
Subjek FINANCE
Catatan In recent years, there has been a fast growth in the application of long-memory processes to underlying assets including stock, volatility index, exchange rate, etc. The fractional Brownian motion is the most popular of the long-memory processes and was introduced by Kolmogorov in 1940 and later by Mandelbrot in 1965. It has been used in hydrology and climatology as well as finance. The dynamics of the volatility of asset price or asset price itself were modelled as a fractional Brownian motion in finance and are called rough volatility models and the fractional Black–Scholes model, respectively. Fractional diffusion processes are also used to model the dynamics of underlying assets. The option price under the fractional diffusion setting induces fractional partial differential equations involving the fractional derivatives with respect to the time and the space, respectively. Some closed-form solutions might be found via transform methods in some cases of applications, and numerical methods to solve fraction
Bentuk Karya Tidak ada kode yang sesuai
Target Pembaca Tidak ada kode yang sesuai
Lokasi Akses Online https://directory.doabooks.org/handle/20.500.12854/139257
https://mdpi-res.com/bookfiles/book/9252/Application_of_Fractal_Processes_and_Fractional_Derivatives_in_Finance.pdf?v=1751591375

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
591025192 332 App Baca Online Perpustakaan Pusat - Online Resources
Ebook
Tersedia
Tag Ind1 Ind2 Isi
001 INLIS000000000163296
005 20250705101715
007 ta
008 250705################|##########|#|##
020 # # $a 978-3-7258-1092-5
035 # # $a 0010-0725000163
082 # # $a 332
084 # # $a 332 App
245 # # $a Application of Fractal Processes and Fractional Derivatives in Finance /$c Leung Lung Chan (editor)
260 # # :$b MDPI,$c 2024
300 # # $a 250 p.
505 # # $a In recent years, there has been a fast growth in the application of long-memory processes to underlying assets including stock, volatility index, exchange rate, etc. The fractional Brownian motion is the most popular of the long-memory processes and was introduced by Kolmogorov in 1940 and later by Mandelbrot in 1965. It has been used in hydrology and climatology as well as finance. The dynamics of the volatility of asset price or asset price itself were modelled as a fractional Brownian motion in finance and are called rough volatility models and the fractional Black–Scholes model, respectively. Fractional diffusion processes are also used to model the dynamics of underlying assets. The option price under the fractional diffusion setting induces fractional partial differential equations involving the fractional derivatives with respect to the time and the space, respectively. Some closed-form solutions might be found via transform methods in some cases of applications, and numerical methods to solve fractional partial differential equations are being developed. This Special Issue focuses on empirical studies as well as option pricing. The empirical studies consist of multifractal analyses of stock market and volatility index. Multifractal analyses include cross-correlation multifractal analysis, multifractal detrended fluctuation analysis, and other fractional analyses. Meanwhile, option pricing focuses on the fractional Black–Scholes models and their variants, including the fuzzy fractional Black–Scholes model, uncertain fractional differential equation, and model with fractional-order feature.
650 # # $a FINANCE
700 0 # $a Chan, Leung Lung (editor)
856 # # $a https://directory.doabooks.org/handle/20.500.12854/139257
856 # # $a https://mdpi-res.com/bookfiles/book/9252/Application_of_Fractal_Processes_and_Fractional_Derivatives_in_Finance.pdf?v=1751591375
990 # # $a 591025192
Content Unduh katalog