Abstract

According to the criterion of the visibility graph and the irreversibility of the time series, this paper proposes a new perspective to construct the directed limited penetrable interdependent network (DLPIN) for thermal coal between the opening and closing price series after the Johansen cointegration test. The results of the statistical research and cointegration analysis show that there is a cointegration relationship between the opening and the closing price series, and the relationship between them does not follow a normal distribution. By analyzing the topological characteristic of the DLPIN, the results indicate that there is an obvious "community structure" and scale-free features, which show that there are groups and differences among the thermal coal price, and most of them have a weak transmission ability of the thermal coal price information; only a few of them have a strong transmission ability. The differences of the in-degree and out-degree show that some thermal coal prices have a weak influence on the other prices but are strongly affected by the other prices. In addition, most of the thermal coal prices are far away from the infectious source of the price information; only a few are close to the infectious source of the price information to a certain extent. Obviously, the influence of the thermal coal price has a certain range, which is closely related in a short distance. Furthermore, these results can reveal the internal laws of the main price fluctuation and information transmission for the thermal coal, and some references can be provided to reduce risk investment and improve capital return for the related investors.

Highlights

  • Thermal coal refers to the coal that is used as the raw material of power in the way of combustion, which is the core strategic resource of coal resources and occupies the main position in China

  • The relationships between the opening price series (OPS) and the closing price series (CPS) can be further analyzed by the Bierens-Martins test and Gregory-Hansen test, but these are not the subject to be studied in the text

  • According to Equations (5) and (6) based on the criteria of the directed limited penetrable visibility graph [31,32] and the irreversibility of the time series, the directed limited penetrable interdependent network (DLPIN) of the opening and closing price for thermal coal is constructed in this paper, and the rule of the network construction is different between the same price series and different price series, whose specific algorithm is shown in the Algorithm 1. (In order to show their rules and differences, the first six data in the OPS and CPS are taken as an example.)

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Summary

Introduction

Thermal coal refers to the coal that is used as the raw material of power in the way of combustion, which is the core strategic resource of coal resources and occupies the main position in China. Based on the economic impact of the efforts made by Kyoto Protocol and the European Union Emissions Trading System to mitigate the climate change, Schernikau [26] analyzed the recent trend of the thermal coal market, and qualitatively discussed the global thermal coal trading market with the help of a non-linear model. This paper aims to explore the following topics: In regards the different time series, how can the interdependent network of the thermal coal price information be constructed?

The Source and Basic Statistical Analysis of the Data
The Processing of the Data
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1: As for the adjacent nodes
The Statistical Characteristics of the DLPIN
Analysis of the DLPIN
The BC of the Nodes for DLPIN
The BCC-C of the Nkodes for DkLinPIN kout k kin kout
The C-C of the Nodes for DLPIN
The EC of the Nodes for DLPIN
26 October 2016
The Authority and the Hub of the Nodes for the DLPIN
Findings
The correction rules of the hub
Full Text
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