The objective of the paper is to extend the results in Fournié, Lasry, Lions, Lebuchoux, and Touzi (1999), Cass and Fritz (2007) for continuous processes to jump processes based on the Bismut-Elworthy-Li (BEL) formula in Elworthy and Li (1994). We construct a jump process using a subordinated...

Monte Carlo methods are widely-used simulation tools for market practitioners from trading to risk management. When pricing complex instruments, like mortgage-backed securities (MBS), strong path-dependency and high dimensionality make the Monte Carlo method the most suitable, if not the only,...

The Markov Tree model is a discrete-time option pricing model that accounts for short-term memory of the underlying asset. In this work, we compare the empirical performance of the Markov Tree model against that of the Black-Scholes model and Heston's stochastic volatility model. Leveraging a...

In option pricing models with correlated stochastic processes, an option premium is commonly a solution to a partial differential equation (PDE) with mixed derivatives in more than two space dimensions. Alternating direction implicit (ADI) finite difference methods are popular for solving a PDE...

In this study, we use Neural Networks (NNs) to price American put options. We propose two NN models-a simple one and a more complex one-and we discuss the performance of two NN models with the Least-Squares Monte Carlo (LSM) method. This study relies on American put option market prices, for...

The purpose of this paper is to estimate the default probabilities in infrastructure projects. For that, we analyze the exposure of the lenders to a state of default. This application is made by assuming the debt service coverage ratio (DSCR) dynamic itself and the payment profile determined by...

La presente investigación tiene como objetivo principal desarrollar un análisis de toma de decisiones bajo incertidumbre a través de la aplicación de opciones reales en la evaluación de inversiones en proyectos mineros. Asimismo, se propone estudiar el comportamiento de los precios del oro,...

Our research is aimed at finding the optimization of the service provided to citizens, in order to avoid breakdowns in certain administrative services compared to other services that have low levels of activity. The algorithm applied (Branch & Bound) detects what branches of the tree...

Present article is contextualized in an evolved market as the banking where there is a high level of competition that leads in many cases to the marketing of wide range of financial products based on limited information or untransparent, presence of surprise or unfair terms or other type of...

In this paper, an agent-based search and matching (ABSAM) model of a local labor market with heterogeneous agents and an on-the-job search is developed, i.e. job seekers who vary in unemployment duration, skills levels and preferences compete for vacancies which differ for skills demands and the...