摘要：Steel is a commodity with significant price volatility and the choice of stochastic process that better describes its price performance is a fundamental issue in real options valuation in steel industry projects. As verified with other commodities, it is assumed that steel prices can be led partially by a mean reversion component, but the analysis of some economic issues related to production indicates that steel prices may also have a rising drift component. This, in practical terms, would increase the long term mean with time. This work presents a model that we call Mean Reversion with Drift (MRM-D), in which a deterministic tendency is attached to the long term equilibrium level in order to capture the increase of steel production marginal cost. It then evaluates the implications of using this model in valuation of steel sector projects.
其他摘要：Steel is a commodity with significant price volatility and the choice of stochastic process that better describes its price performance is a fundamental issue in real options valuation in steel industry projects. As verified with other commodities, it is assumed that steel prices can be led partially by a mean reversion component, but the analysis of some economic issues related to production indicates that steel prices may also have a rising drift component. This, in practical terms, would increase the long term mean with time. This work presents a model that we call Mean Reversion with Drift (MRM-D), in which a deterministic tendency is attached to the long term equilibrium level in order to capture the increase of steel production marginal cost. It then evaluates the implications of using this model in valuation of steel sector projects.
关键词：stochastic processes;real options;mean reversion models;steel industry;processos estocásticos;opções reais;modelos de reversão à média;setor siderúrgico
其他关键词：Finance; Valuation; Real Options;stochastic processes; real options; mean reversion models; steel industry;C61, L61, M21
