Agent-based Versus Macroscopic Modeling of Competition and Business Processes in Economics and Finance
arXiv:1202.3533
Abstract
We present examples of agent-based and stochastic models of competition and business processes in economics and finance. We start from as simple as possible models, which have microscopic, agent-based, versions and macroscopic treatment in behavior. Microscopic and macroscopic versions of herding model proposed by Kirman and Bass diffusion of new products are considered in this contribution as two basic ideas. Further we demonstrate that general herding behavior can be considered as a background of nonlinear stochastic model of financial fluctuations.
20 pages, 8 figures
References in corpus (9)
- Critical Overview of Agent-Based Models for Economics
- Modeling scaled processes and 1/f^b noise by the nonlinear stochastic differential equations
- Agent based reasoning for the non-linear stochastic models of long-range memory
- A long-range memory stochastic model of the return in financial markets
- Herding model and 1/f noise
- Mean-field-like behavior of the generalized voter-model-class kinetic Ising model
- Trading activity as driven Poisson process: comparison with empirical data
- Long-range memory model of trading activity and volatility
- Agent-based Versus Macroscopic Modeling of Competition and Business Processes in Economics