Luca Vincenzo Ballestra
Orcid: 0000-0001-7205-6319
According to our database1,
Luca Vincenzo Ballestra
authored at least 17 papers
between 2010 and 2024.
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Bibliography
2024
Investigating long and short memory in cryptocurrency time series by stochastic fractional Brownian models.
Commun. Stat. Simul. Comput., September, 2024
Math. Comput. Simul., 2024
A new bivariate approach for modeling the interaction between stock volatility and interest rate: An application to S&P500 returns and options.
Eur. J. Oper. Res., 2024
Construction and mean-square stability analysis of a new family of stochastic Runge-Kutta methods.
Appl. Math. Comput., 2024
2022
The Impact of R&D Investments on Eco-Innovation: A Cross-Cultural Perspective of Green Technology Management.
IEEE Trans. Engineering Management, 2022
2021
Harvesting reflective knowledge exchange for inbound open innovation in complex collaborative networks: an empirical verification in Europe.
J. Knowl. Manag., 2021
Enhancing finite difference approximations for double barrier options: mesh optimization and repeated Richardson extrapolation.
Comput. Manag. Sci., 2021
2019
Stability analysis of split-step <i>θ</i>-Milstein method for a class of n-dimensional stochastic differential equations.
Appl. Math. Comput., 2019
2016
Comput. Math. Appl., 2016
2015
J. Comput. Appl. Math., 2015
A numerical method to price discrete double Barrier options under a constant elasticity of variance model with jump diffusion.
Int. J. Comput. Math., 2015
Appl. Math. Comput., 2015
2014
Repeated spatial extrapolation: An extraordinarily efficient approach for option pricing.
J. Comput. Appl. Math., 2014
An analysis of a model for the diffusion of engineering innovations under multi-firm competition.
Int. J. Technol. Manag., 2014
Stability Switches and Bifurcation Analysis of a Time Delay Model for the Diffusion of a New Technology.
Int. J. Bifurc. Chaos, 2014
2011
Appl. Math. Comput., 2011
2010
The evaluation of American options in a stochastic volatility model with jumps: An efficient finite element approach.
Comput. Math. Appl., 2010