Financial models are largely used in option pricing. These physical models capture several salient features of asset price dynamics. The pricing performance can be significantly enhanced when they are combined with nonparametric learning approaches, that empirically learn and correct pricing errors through estimating state price distributions. In this paper, we propose a new semiparametric meth...

Various methods of determining local prices for access to power on electricity grids have been proposed since deregulation became widespread. The aim of power regulatory authorities is to ensure fairness by restrictions on collusion. Nodal pricing is used in various transmission networks around the world but has a flaw in the opportunity it offers suppliers to exploit the nexus between historic...

We consider a simple form of pricing for crowdsourcing system, where policy is published priori, and workers then decide their task acceptance. Such widely adopted in practice its simplicity, e.g., Amazon Mechanical Turk, although additional sophistication to rule can enhance budget efficiency. With the goal designing efficient rules, we study impact following two design features policies: (i) ...

The main goal of the present study is testing asymmetric risk pricing and comparing it with pricing of traditional risk measures in Tehran Stock Market. Accordingly, a sample consisting of 101 companies listed in Tehran Stock Market during 2002-2013 went under investigation. In order to test asymmetric risk pricing, regression model of panel data was applied. The results revealed a positive and...

Although technological progress has lowered the cost of solar and wind to make renewable energy competitive with fossil fuels on a levelized-cost basis, supply of these resources is highly variable and inelastic, which contrasts with elastic, stable and controllable supply from traditional power plants. As a result, the cost of flat retail pricing in comparison to dynamic, marginal-cost retail ...