Real option models maximize the estimated market value of operational assets, exploiting
the flexibility that decision makers have in managing these assets. Inspired by the valuation …

Propósito: Desarrollar un acercamiento hacia las metodologías para la valoración
financiera, como herramienta que permite a los gerentes tener una visión objetiva y …

In this paper, we consider the valuation problem of equity-linked annuity with guaranteed
minimum death benefit (GMDB) by complex Fourier series method under regime-switching …

This work reviews the literature on spline local basis methods for non-parametric density
estimation. Particular attention is paid to B-spline density estimators which have …

A sound credit assessment mechanism has been explored for many years and is the key to
internet finance development, and scholars divide credit assessment mechanisms into linear …

We clarify the relations among different Fourier-based approaches to option pricing, and
improve the B-spline probability density projection method using the sinh-acceleration …

A general and efficient nonparametric density estimation procedure for local bases,
including B-splines, is proposed, which employs a novel statistical Galerkin method …

The symmetric trading algorithm (STA) and asymmetric trading algorithm (ATA) are
proposed, and a step-by-step pseudo code of proposed algorithms are presented. Utilizing a …

We propose a novel flexible framework for the joint evolution of stock log-returns and their
volatility based on time changed Lévy processes. The novelty of the approach stems from …

Learning density estimation is important in probabilistic modeling and reasoning with
uncertainty. Since B-spline basis functions are piecewise polynomials with local support …