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The impacts of liquidity dynamics on emissions allowances price: Different evidence from China's emissions trading pilots
16 references·4 citing·48 second hop
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References

  • 2002Illiquidity and stock returns: cross-section and time-series effects10,008 cited
  • 1985Continuous Auctions and Insider Trading9,626 cited
  • 1994Is the Electronic Open Limit Order Book Inevitable?996 cited
  • 2003Presidential Address: Liquidity and Price Discovery652 cited
  • 2015China׳s carbon-emissions trading: Overview, challenges and future538 cited
  • 2003Liquidity and Expected Returns: Lessons from Emerging Markets362 cited
  • 2014Carbon emission reduction: the impact on the financial and operational performance of international companies333 cited
  • 2015Joint production and pricing decisions for multiple products with cap-and-trade and carbon tax regulations300 cited
  • 2015The dynamic volatility spillover between European carbon trading market and fossil energy market280 cited
  • 2014Emissions trading in China: Progress and prospects276 cited
  • 2016Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook271 cited
  • 2016How to improve the market efficiency of carbon trading: A perspective of China249 cited
  • 2010Carbon price volatility: Evidence from EU ETS221 cited
  • 2017Research on the efficiency of carbon trading market in China216 cited
  • 2011

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Price discovery and volatility spillovers in the European Union emissions trading scheme: A high-frequency analysis
201 cited
  • 2017Emission trading and carbon market performance in Shenzhen, China196 cited
  • Cited by

    • 2019Volatility spillover effect and dynamic correlation between regional emissions allowances and fossil energy markets: New evidence from China’s emissions trading scheme pilots73 cited
    • 2019Improving the liquidity of China's carbon market: Insight from the effect of carbon price transmission under the policy release63 cited
    • 2021Modelling extreme risks for carbon emission allowances — Evidence from European and Chinese carbon markets37 cited
    • 2026A Bayesian-Tuned Gaussian Process Approach to Forecasting Carbon Market Prices: A Case Study of China’s Emissions Trading Scheme30 cited