In this paper we explore ways that alleviate problems of nonparametric (artificial neural networks) and parametric option pricing models by combining the two. The resulting enhanced network model is compared to standard artificial neural networks and to parametric models with several historical...

Option pricing model with non-constant volatility models are compared to stochastic volatility ones. The non-constant volatility models considered are the Dupire's local volatility and Hobson and Rogers path-dependent volatility models. These approaches have the theoretical advantage of...

This paper describes and analyses the use of the Filtered Historical Simulation algorithm in pricing spread options. Spread options are contracts whose payoff depends on the price difference (spread) between two or more underlying assets at a future date. Such kind of options are written in the...

We propose the use of a classical tool in PDE theory, the parametrix method, to build approximate solutions to generic parabolic models for pricing and hedging contingent claims. We obtain an expansion for the price of an option using as starting point the classical Black and Scholes formula....

This paper integrates the literature of Mortgage Design with that of Rotating Savings and Credit Associations (ROSCAs) to present a novel way of mortgage financing (with a zero interest rate) using cooperatives. This mode of financing dissipates credit (default) risk better than the normal mode...

Dynamic models with inequality constraints pose a challenging prob- lem for two major reasons: Dynamic Programming techniques often necessitate a non established differentiability of the value function, while Euler equation based techniques have problematic or unknown convergence properties....

We introduce a ''new'' algorithm that can be used to solve stochastic dynamic general equilibrium models. This approach exploits the fact that the equations defining equilibrium can be viewed as set of algebraic equations in the neighborhood of the steady-state. Then a recursive scheme, which...

The lion’s share of hidden Markov models (HMMs) /Markov regime switching models considered in economic research incorporates a comparably small number of states. The popularity of models with mostly two or three states principally results from their good interpretability: often regime...

This paper examines the effect on economic growth and welfare of the access to external financing which results in technological transfers to a developing country from the rest of the world. We consider a two-sector stochastic growth model and compute optimal accumulation mechanisms in the...

The Efficient Market Hypothesis (EMH) is one of the most investigated questions in Finance. Nevertheless, it is still a puzzle, despite the enormous amount of research it has provoked. For instance, it is still discussed that market cannot be outperformed in the long run (Detry and Gregoire,...