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The determinants of allowance prices in the European emissions trading scheme: Can we expect an efficient allowance market 2008?. (2007). Rickels, Wilfried ; Peterson, Sonja ; Keller, Andreas ; Duscha, Vicki.
In: Kiel Working Papers.
RePEc:zbw:ifwkwp:1387.

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Cited: 28

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  1. The impact of carbon policy news on the national energy industry. (2024). Morão, Hugo ; Moro, Hugo.
    In: Working Papers REM.
    RePEc:ise:remwps:wp03212024.

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  2. Dependence structures among geopolitical risks, energy prices, and carbon emissions prices. (2023). Gözgör, Giray ; Gozgor, Giray ; Albasu, Joseph ; Soliman, Alaa M ; Lau, Chi Keung.
    In: Resources Policy.
    RePEc:eee:jrpoli:v:83:y:2023:i:c:s0301420723003148.

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  3. Identifying the determinants of European carbon allowances prices: A novel robust partial least squares method for open-high-low-close data. (2023). Wei, Yigang ; Wang, Huiwen ; Huang, Wenyang.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:90:y:2023:i:c:s1057521923004544.

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  4. Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method. (2022). Chevallier, Julien ; Wei, Yigang ; Qin, Haotong ; Wang, Huiwen ; Huang, Wenyang.
    In: Energy Economics.
    RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322002171.

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  5. The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach. (2021). Mishra, Tapas ; Yan, Cheng ; Shi, Yukun ; Ren, Xiaohang ; Duan, Kun.
    In: Energy Economics.
    RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988321000360.

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  6. From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS. (2020). Mauer, Eva-Maria ; Friedrich, Marina ; Tietjen, Oliver ; Pahle, Michael.
    In: EconStor Preprints.
    RePEc:zbw:esprep:225210.

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  7. Coal phase-outs and carbon prices: Interactions between EU emission trading and national carbon mitigation policies. (2020). Most, Dominik ; Schreiber, Steffi ; Hobbie, Hannes ; Anke, Carl-Philipp.
    In: Energy Policy.
    RePEc:eee:enepol:v:144:y:2020:i:c:s0301421520303773.

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  8. From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS. (2019). Tietjen, Oliver ; Pahle, Michael ; Mauer, Eva-Maria ; Friedrich, Marina.
    In: EconStor Preprints.
    RePEc:zbw:esprep:196150.

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  9. Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors. (2019). Kang, Wanglin ; Zhao, Xin ; Ding, Lili ; Han, Meng.
    In: Energy.
    RePEc:eee:energy:v:171:y:2019:i:c:p:69-76.

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  10. Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece. (2017). Dikaiakos, Christos ; Stratigakos, Akylas ; Siettos, Kostas ; Papaioannou, George P.
    In: Papers.
    RePEc:arx:papers:1708.07063.

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  11. Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models. (2016). Zeitlberger, Alexander ; Brauneis, Alexander.
    In: Central European Journal of Operations Research.
    RePEc:spr:cejnor:v:24:y:2016:i:1:p:149-176.

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  12. The New Zealand Emissions Trading Scheme de-link from Kyoto: impacts on banking and prices. (2016). Kerr, Suzi ; Ormsby, Judd .
    In: Working Papers.
    RePEc:mtu:wpaper:16_13.

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  13. Impacts on CO 2 Emission Allowance Prices in China: A Quantile Regression Analysis of the Shanghai Emission Trading Scheme. (2016). Zhang, LU.
    In: Sustainability.
    RePEc:gam:jsusta:v:8:y:2016:i:11:p:1195-:d:83200.

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  14. The relationship between European electricity markets and emission allowance futures prices in phase II of the EU (European Union) emission trading scheme. (2014). Scholtens, Bert ; Boersen, Arieke .
    In: Energy.
    RePEc:eee:energy:v:74:y:2014:i:c:p:585-594.

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  15. Putting a Price on Carbon – Econometric Essays on the European Union Emissions Trading Scheme and its Impacts. (2013). Remes, Piia.
    In: Research Reports.
    RePEc:fer:resrep:p62.

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  16. Putting a Price on Carbon – Econometric Essays on the European Union Emissions Trading Scheme and its Impacts. (2013). Remes, Piia.
    In: Research Reports.
    RePEc:fer:resrep:62.

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  17. Price determination in the EU ETS market: Theory and econometric analysis with market fundamentals. (2013). Remes (née Aatola), Piia ; Toppinen, Anne ; Ollikainen, Markku.
    In: Energy Economics.
    RePEc:eee:eneeco:v:36:y:2013:i:c:p:380-395.

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  18. A study on the volatility spillovers, long memory effects and interactions between carbon and energy markets: The impacts of extreme weather. (2013). Liu, Hsiang-Hsi ; Chen, Yi-Chun.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:35:y:2013:i:c:p:840-855.

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  19. Informational Efficiency of the EU ETS market – a study of price predictability and profitable trading. (2012). Remes (née Aatola), Piia ; Ollikka, Kimmo ; Ollikainen, Markku.
    In: Working Papers.
    RePEc:fer:wpaper:28.

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  20. Pricing emission permits in the absence of abatement. (2012). Hintermann, Beat.
    In: Energy Economics.
    RePEc:eee:eneeco:v:34:y:2012:i:5:p:1329-1340.

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  21. Market Power, Permit Allocation and Efficiency in Emission Permit Markets. (2011). Hintermann, Beat.
    In: Environmental & Resource Economics.
    RePEc:kap:enreec:v:49:y:2011:i:3:p:327-349.

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  22. The Dependence Structure between Carbon Emission Allowances and Financial Markets - A Copula Analysis. (2011). Trueck, Stefan ; Ketterer, Janina ; Gronwald, Marc ; Truck, Stefan.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_3418.

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  23. Carbon Price Drivers: Phase I versus Phase II Equilibrium?. (2011). Mignon, Valérie ; Jouvet, Pierre-André ; Creti, Anna.
    In: Working Papers.
    RePEc:cec:wpaper:1106.

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  24. Hedging With Futures Contract: Estimation and Performance Evaluation of Optimal Hedge Ratios in the European Union Emissions Trading Scheme. (2010). Roca, Eduardo ; Akimov, Alexandr ; Fan, John Hua .
    In: Discussion Papers in Finance.
    RePEc:gri:fpaper:finance:201009.

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  25. Factors affecting the carbon allowance market in the US. (2010). Kim, Hyun ; Koo, Won W..
    In: Energy Policy.
    RePEc:eee:enepol:v:38:y:2010:i:4:p:1879-1884.

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  26. An Options Pricing Approach for CO2 Allowances in the EU ETS. (2009). Hintermann, Beat.
    In: CEPE Working paper series.
    RePEc:cee:wpcepe:09-64.

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  27. The EU Emissions Trading Scheme : Disentangling the Effects of Industrial Production and CO2 Emissions on Carbon Prices. (2008). Cheze, Benoit ; Chevallier, Julien ; Alberola, Emilie.
    In: Working Papers.
    RePEc:hal:wpaper:hal-04140795.

    Full description at Econpapers || Download paper

  28. The EU emissions trading scheme : The effects of industrial production and CO2 emissions on carbon prices. (2008). Cheze, Benoit ; Chevallier, Julien ; Alberola, Emilie .
    In: Economics Papers from University Paris Dauphine.
    RePEc:dau:papers:123456789/4223.

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References

References cited by this document

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  15. Sijm, J., S. Bakker, Y. Chen, H. Harmesen, and W. Lise (2005). CO2 price dynamics: The implications of EU emissions trading on the price of electricity. Report ECNC -05-81, Energy Reserach Center of the Netherlands (ECN). A Appendix In this appendix we describe the cointegration analysis that was done to test for a longterm relationship between the variables. In a first step, we run a Johansen Trace Test for the allowance, oil, coal and gas price series. The included lags for the levels were determined by the Akaike Info Criterion.
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  16. We tested for the period Jan, 03, 2005 until April, 23, 2006, the second period from May 15, 2006 until Dec 27, 2006 and for the whole period, including two dummy variables for the structural breaks. For the single periods we assumed a constant in the deterministic equation, since that makes it more likely that the null hypothesis of no cointegration is rejected. For the whole period assumed we tested for a constant but also for a constant plus a linear trend in the deterministic equation. The Johansen Trace Test accepts the null hypothesis of no cointegration at the 5% significance level for the two single periods, but it rejects this hypothesis for the whole period at the 1% significance level.
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