Do real options perform better than net present value? Testing in an artificial financial market

Authored by M Sapienza

Date Published: 2003-06

Sponsors: No sponsors listed

Platforms: Swarm

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

Abstract

This paper contains an investigation on a particular kind of non-linear rational expectations equilibrium in financial markets. By adopting an agent based computational finance (ACF) paradigm we will analyze whether using real options theory in financial markets is useful. Do agents who incorporate option value -when forming their trading prices - obtain higher profits? Real Options based valuation can be a valuable tool when the agents interacting in the market are homogenous in their cognitive abilities to understand and learn market dynamics, even if they are heterogenous in their ideas or “market theories”. Speed of the learning process is another factor which crucially determines the relevance of an options based approach to valuation. If we introduce a small portion of traders acting on the basis of different strategies, we observe drastic deviations from the rational benchmark. Moreover the profitability of ROV based traders is inferior to random guessing, and to neural network based strategies.

Tags

Agent based models market microstructure Artificial markets SWA classifier systems economic simulation