Short-time at-the-money skew and rough fractional volatility

Article Properties
  • Language
    English
  • Publication Date
    2016/07/21
  • Indian UGC (journal)
  • Refrences
    24
  • Citations
    66
  • Masaaki Fukasawa Department of Mathematics, Osaka University, 1-1 Machikaneyama, Toyonaka, Osaka, Japan.
Cite
Fukasawa, Masaaki. “Short-Time at-the-Money Skew and Rough Fractional Volatility”. Quantitative Finance, vol. 17, no. 2, 2016, pp. 189-98, https://doi.org/10.1080/14697688.2016.1197410.
Fukasawa, M. (2016). Short-time at-the-money skew and rough fractional volatility. Quantitative Finance, 17(2), 189-198. https://doi.org/10.1080/14697688.2016.1197410
Fukasawa, Masaaki. “Short-Time at-the-Money Skew and Rough Fractional Volatility”. Quantitative Finance 17, no. 2 (2016): 189-98. https://doi.org/10.1080/14697688.2016.1197410.
Fukasawa M. Short-time at-the-money skew and rough fractional volatility. Quantitative Finance. 2016;17(2):189-98.
Journal Categories
Science
Mathematics
Social Sciences
Commerce
Business
Social Sciences
Economic theory
Demography
Economics as a science
Social Sciences
Finance
Social Sciences
Statistics
Refrences
Title Journal Journal Categories Citations Publication Date
Approximation and Calibration of Short-Term Implied Volatilities Under Jump-Diffusion Stochastic Volatility SSRN Electronic Journal 5 2006
Approximation and Calibration of Short-Term Implied Volatilities Under Jump-Diffusion Stochastic Volatility 1992
Approximation and Calibration of Short-Term Implied Volatilities Under Jump-Diffusion Stochastic Volatility SIAM Journal on Financial Mathematics
  • Social Sciences: Finance
  • Social Sciences: Statistics
  • Science: Mathematics
  • Social Sciences: Economic theory. Demography: Economics as a science
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
2015
Analysis, Geometry, and Modeling in Finance: Advanced Methods in Option Pricing 2009
The Volatility Surface: A Practioner’s Guide 2006
Citations
Title Journal Journal Categories Citations Publication Date
Deep calibration with random grids Quantitative Finance
  • Social Sciences: Finance
  • Social Sciences: Economic theory. Demography: Economics as a science
  • Social Sciences: Statistics
  • Science: Mathematics
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
2024
The rough Hawkes Heston stochastic volatility model

Mathematical Finance
  • Social Sciences: Finance
  • Social Sciences: Economic theory. Demography: Economics as a science
  • Social Sciences: Statistics
  • Science: Mathematics
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
2024
Moderate Deviation Principle for Multiscale Systems Driven by Fractional Brownian Motion Journal of Theoretical Probability
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
1 2023
Short-Time Asymptotics for Non-Self-Similar Stochastic Volatility Models Applied Mathematical Finance 2023
Approximation of Stochastic Volterra Equations with kernels of completely monotone type

Mathematics of Computation
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2 2023
Citations Analysis
The category Science: Mathematics 44 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled The Randomised Heston Model and was published in 2016. The most recent citation comes from a 2024 study titled Deep calibration with random grids. This article reached its peak citation in 2022, with 11 citations. It has been cited in 26 different journals, 7% of which are open access. Among related journals, the SSRN Electronic Journal cited this research the most, with 12 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year