Business diversification of coal mining companies as a strategy facing coal price volatility

This study aims to determine the effect of business diversification on stock prices by mediating company performance, represented by the variable ROE and EPS in a fluctuating coal price situation. The data used are 16 companies engaged in coal mining in Indonesia and listed on the Indonesia Stock Exchange (IDX) from 2012 to 2019. Using two analysis methods: path analysis to examine direct and indirect relationships between variables and different tests to see differences in the performance of companies that diversify and do not diversify. The results showed that coal commodity prices had a significant positive effect on stock prices and indirectly, through ROE and EPS, had a significant positive impact on stock prices. Business diversification directly has a significant negative impact on stock prices and indirectly through EPS positively affects stock prices. Business diversification provides a substantial difference to EPS and does not provide a significant difference to ROE.

THE EFFECT OF CORONA PANDEMIC, MINE COMMODITY PRICES AND RUPIAH EXCHANGE RATE ON INDONESIAN SHARIA SHARE PRICES IN THE MINING SECTOR 2020

This study aims to analyze the effect of the corona pandemic, mining commodity prices and the rupiah exchange rate on Indonesian Islamic Share Prices/Indeks Saham Syariah Indonesia (ISSI) in the mining sector in 2020. The corona pandemic is represented by daily active cases that occur in Indonesia, the mining commodities used are coal, oil and gold prices world, and the exchange rate of the rupiah against the dollar. The data used is a cross-sectional type with a sample of 32 companies with an observation duration of 195 days during the 2020 period. The results show that simultaneously the independent variables significantly affect the dependent variable and partially the world coal price, world oil price, gold price. The world and the rupiah exchange rate with the exception of corona have a significant effect on mining stock prices at Indonesian Islamic share prices in 2020. This research proves that the Market anomaly theory is proven to occur in 2020 as a result of the corona pandemic, anomaly in commodity prices and exchange rates on the Indonesia Stock Exchange, especially in the Indonesian Islamic share prices mining sector which proves that the market cannot be accurately predicted if it occurs a sentiment strong enough globally to move investors both in terms of selling or buying shares that previously could not be reflected by the company's stock price.

Coal Pricing in China: Is It a Bit Too Crude?

China is a global leader in methanol production volume, while coal is a major feedstock. The country also has the world’s largest commercial coal-to-methanol operations. Coal-based methanol is used widely within China and is a competitive substitute for gasoline. Owing to this, it is plausible that the price of coal may be linked to international crude oil prices, with methanol prices serving as the connecting channel. We add supporting evidence to a recently emerging area of literature and observe statistically significant relationships among the three prices, and, therefore, the influence from international crude oil and methanol prices on the coal price determination in China. This paper investigates the relationships among these prices for the period from January 2010 to December 2019 through spectral Granger causality analysis, alongside more traditional cointegration tests to develop a comprehensive picture of causal association between the price series in both the frequency and time domain. Cointegration is found in our tri-variate system while the frequency domain Granger causality tests reveal the long-run causality in all directions except from crude oil to methanol, thus, emphasizing the structure of coal price dependence. According to the generalized impulse response functions, the coal price reacts positively to shocks in crude oil prices.

Factors Affecting China's Carbon Trading Price—A Case Study Based on Tianjin Carbon Emissions Trading Market

Building a carbon emission trading market is an effective way to control carbon emissions. The carbon emission trading price is the key to the carbon trading market, and it will affect the carbon emission reduction behavior of enterprises. This study use the vector autoregression (VAR) model, the cointegration analysis, and the Granger causality test to analyze the influence of industrial development index (Shanghai Stock Exchange Industrial Index (000004.SH)), coal price index (National Coal Price Index), air quality index (AQI), and economic index (Purchasing Managers Index (PMI)) on the carbon emission trading price in Tianjin. Empirical research results based on data from January 2014 to December 2019 show that the Shanghai Stock Exchange Industrial Index and AQI are positively correlated with Tianjin carbon emission trading price, and the National Coal Price Index and PMI are negatively correlated with Tianjin carbon emission trading price. Finally, some suggestions are made to promote the rapid maturity of the national carbon emission trading market of China.