The volatility of steel prices and international currency is
an element that affects actual project costs. This situation can be mitigated by
considering risk contingency as a fixed percentage of the total budget and/or
by inputting an inflation factor into the cost estimation. These methods have not
overcome the root problem, however, which is the volatility and declining trend
of US dollar purchasing power as base currency. As a result, an alternative
currency with more reliable value as a cost reference is needed as a comparison
of using gold equivalency as an alternative currency for cost estimation
(Asmoro, 2013).
This paper will explore the potential for oil as a referred
currency to be used in investigating the price volatility of selected steels,
i.e. hot rolled coil (HRC) and billet as main material components in oil and
gas pipeline projects. The reliability of oil in terms of purchasing power
compared to the US dollar and inflation will be discussed along with how oil
equivalency can be applied for selected steels to develop an oil-based
forecasting model using a statistical VAR (Vector Auto-Regressive) model. VAR
model is widely used to analyse multivariate time series data such as domestic
product and oil price.
These methods might change the paradigm for estimating
the material costs of pipeline projects and could be developed for and applied
to other projects since steels are heavily used in all major construction
projects.
Keywords: Line-pipe steel prices, oil price, VAR model,
multivariate time series data, US dollar, purchasing power, oil equivalency,
cost estimation, pipeline project
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