Stochastic Modeling and Analysis of Energy Commodity Spot Price Processes

Abstract

Supply and demand in the World oil market are balanced through responses to price movement with considerable complexity in the evolution of underlying supply-demand expectation process. In order to be able to understand the price balancing process, it is important to know the economic forces and the behavior of energy commodity spot price processes. The relationship between the different energy sources and its utility together with uncertainty also play a role in many important energy issues. The qualitative and quantitative behavior of energy commodities in which the trend in price of one commodity coincides with the trend in price of other commodities, have always raised the questions regarding their interactions. Moreover, if there is any interaction, then one would like to know the extent of influence on each other. In this work, we undertake the study to shed a light on the above highlighted processes and issues. The presented study systematically deals with the development of stochastic dynamic models and mathematical, statistical and computational analysis of energy commodity spot price and interaction processes.

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Document Details

Document Type
Technical Report
Publication Date
Jun 27, 2014
Accession Number
ADA616583

Entities

People

  • Olusegun M. Otunuga

Organizations

  • University of South Florida

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computational Science
  • Confidence Limits
  • Databases
  • Difference Equations
  • Differential Equations
  • Information Science
  • Kalman Filters
  • Lyapunov Functions
  • Markov Processes
  • Mathematical Analysis
  • Mathematical Filters
  • Mathematical Models
  • Random Variables
  • Simplex Method
  • Statistical Analysis
  • Stochastic Processes
  • Surveys

Readers

  • Computational Modeling and Simulation
  • Energy Conservation and Renewable Energy Engineering.
  • Life Cycle Cost Analysis