Review of Methods for Exploratory Data Analysis for Copper Prices 1960-2020

Peter Bell

MPRA Paper from University Library of Munich, Germany

Abstract: This paper presents a statistical analysis of the historical data for global copper prices from the World Bank for the period from 1960 to 2025. This paper presents methods and results for several different approaches. The paper uses time-lag diagrams to show price transition periods as a feature of chaos theory established in other research. The paper also shows methods for using percentile rankings along different dimensions—for example, the years where the copper price increased the most. The paper also shows pathwise data analysis methods that use overlapping data samples to generate rankings about the data on a monthly basis, compared with an ensemble of values from all other paths in the dataset. For example, what did the all-time best five years in the copper markets look like based on the trailing-twelve-month price increase? The paper discusses how these methods can be used to make predictions and how the methods can be used for time series of other base metals, like zinc, or unrelated economic statistical time series.

Keywords: Statistics; Time Series; Methods; Copper; Mining; Finance; World Bank; Exploratory Data Analysis; 1960-2025; Global (search for similar items in EconPapers)
JEL-codes: A1 A19 B59 C0 C02 C1 C14 C15 C18 C19 C4 C40 C6 C63 C69 C8 C81 D2 G1 G10 G17 G19 K2 K23 L2 L5 L7 L72 Q3 Q31 Q32 Q33 Q5 Y1 Y10 (search for similar items in EconPapers)
Date: 2025-01-10
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