The multivariate lognormal model is a basic pricing model for derivatives with multiple underlying processes, for example, spread options. However, the market observation of implied correlation skew examplifies how inaccurate the constant correlation assumption in the multivariate lognormal model can be. In this paper, we study alternative modeling approaches that generate implied correlation s...

We consider a simple uncertain-volatility model for the asset price underlying a given option market. The asset price volatility is assumed to follow a discrete (actually finite) Markov chain σ, which changes value on some fixed future times. The volatility chain is independent of the Brownian motion governing the future evolution of the asset. Modeling the volatility evolution in this way is e...

the revenue management concept and techniques are applied to model the coordination of supply chain elements. the fundamental premise of this approach is synchronization of a group of business entities consist-ing of a manufacturer and multiple suppliers to achieve an optimal supply chain capacity plans. the output of the supply chain can be various products and thus it is measured in terms of ...

In this paper‎, ‎the impacts of premium bounds of put option contracts on the operation of put option and day-ahead electricity markets are studied‎. ‎To this end‎, ‎first a comprehensive equilibrium model for a joint put option and day-ahead markets is presented‎. ‎Interaction between put option and day-ahead markets‎, ‎uncertainty in fuel price, impact of premium bounds, and elasticity of con...

This article provides an overview of market-based option pricing and its applications. First, two fundamental approaches for market-based option pricing from the literature are introduced. Then, three important new processes, the deterministic volatility model, the stochastic volatility model, and a model including jump, are discussed. Finally, several empirical analyses on the NIKKEI225 option...