1. Forecasts of coking coal futures price indices through Gaussian process regressions. (2025). Jin, Bingzi ; Xu, Xiaojie.
   In: Mineral Economics.
   RePEc:spr:minecn:v:38:y:2025:i:1:d:10.1007_s13563-024-00472-9.

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2. Machine learning price index forecasts of flat steel products. (2025). Xu, Xiaojie ; Jin, Bingzi.
   In: Mineral Economics.
   RePEc:spr:minecn:v:38:y:2025:i:1:d:10.1007_s13563-024-00457-8.

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3. Baidu News and the return volatility of Chinese commodity futures: evidence for the sequential information arrival hypothesis. (2025). Xiong, Xiong ; Ma, Junjun ; Zhang, Yuzhao ; Zhao, Ruwei.
   In: Financial Innovation.
   RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-025-00753-4.

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4. Modeling the Ningbo Container Freight Index Through Deep Learning: Toward Sustainable Shipping and Regional Economic Resilience. (2025). Gong, Chi ; Wu, Haochuan.
   In: Sustainability.
   RePEc:gam:jsusta:v:17:y:2025:i:10:p:4655-:d:1659101.

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5. China futures market and world container shipping economy: An exploratory analysis based on deep learning. (2025). Su, Zhenqing ; Li, Jiankun ; Pang, Qiwei.
   In: Research in International Business and Finance.
   RePEc:eee:riibaf:v:76:y:2025:i:c:s0275531925001266.

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6. Financial regulatory arbitrage and the financialization of commodities. (2024). Zheng, Zunxin ; Ni, Yingzhao ; Zhang, Gaiyan.
   In: Journal of Futures Markets.
   RePEc:wly:jfutmk:v:44:y:2024:i:5:p:826-853.

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7. Lessons from the Demise of the Brent Crude Oil Futures Contract on the Singapore Exchange. (2024). Lim, Wui Boon ; Ding, David K.
   In: JRFM.
   RePEc:gam:jjrfmx:v:17:y:2024:i:6:p:252-:d:1417893.

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8. Autopsy of a futures market failure: Japan’s Dojima rice futures in the early 21st century. (2024). Yamamoto, Shuhei ; Janzen, Joseph P ; Serra, Teresa.
   In: Food Policy.
   RePEc:eee:jfpoli:v:128:y:2024:i:c:s0306919224001283.

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9. Are futures markets functioning well for agricultural perishables? Evidence from Chinas apple futures market. (2023). Glauben, Thomas ; Ren, Yanjun ; Mao, Qianqian ; Loy, Jens-Peter.
   In: EconStor Open Access Articles and Book Chapters.
   RePEc:zbw:espost:283070.

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10. Price discovery in Chinas crude oil futures markets: An emerging Asian benchmark?. (2023). Yu, Ziliang ; Webb, Robert I ; Yang, Jian.
    In: Journal of Futures Markets.
    RePEc:wly:jfutmk:v:43:y:2023:i:3:p:297-324.

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11. Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products. (2023). Zhang, Yun ; Xu, Xiaojie.
    In: Mineral Economics.
    RePEc:spr:minecn:v:36:y:2023:i:4:d:10.1007_s13563-022-00357-9.

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12. Coking coal futures price index forecasting with the neural network. (2023). Zhang, Yun ; Xu, Xiaojie.
    In: Mineral Economics.
    RePEc:spr:minecn:v:36:y:2023:i:2:d:10.1007_s13563-022-00311-9.

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13. Determinants of Corn and Soybean Futures Prices Traded on the Brazilian Stock Exchange: An ARDL Approach. (2023). Tessmann, Mathias ; Carrasco-Gutierrez, Carlos ; Lima, Alexandre Vasconcelos.
    In: International Journal of Economics and Finance.
    RePEc:ibn:ijefaa:v:15:y:2023:i:1:p:65.

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14. Chinese agricultural futures volatility: New insights from potential domestic and global predictors. (2023). Su, Yuandong ; Lu, Xinjie ; Huang, Dengshi.
    In: International Review of Financial Analysis.
    RePEc:eee:finana:v:89:y:2023:i:c:s1057521923003022.

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15. Positive and negative price bubbles of Chinese agricultural commodity futures. (2023). Lin, Yizhou ; Fang, Ming ; Chang, Chiu-Lan.
    In: Economic Analysis and Policy.
    RePEc:eee:ecanpo:v:78:y:2023:i:c:p:456-471.

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16. Are futures markets functioning well for agricultural perishables? Evidence from Chinas apple futures market. (2023). Glauben, Thomas ; Ren, Yanjun ; Mao, Qianqian ; Loy, Jens-Peter.
    In: Agricultural Economics.
    RePEc:caa:jnlage:v:69:y:2023:i:12:id:278-2023-agricecon.

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17. Correlation structure analysis of the global agricultural futures market. (2023). Zhou, Wei-Xing ; Dai, Yun-Shi ; Zheng, Qing-Huan ; Anh, Ngoc Quang.
    In: Papers.
    RePEc:arx:papers:2310.16849.

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18. Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat. (2022). Zhang, Yun ; Xu, Xiaojie.
    In: Intelligent Systems in Accounting, Finance and Management.
    RePEc:wly:isacfm:v:29:y:2022:i:3:p:169-181.

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19. Correlation structure analysis of the global agricultural futures market. (2022). Zhou, Wei-Xing ; Dai, Yun-Shi ; Zheng, Qing-Huan ; Anh, Ngoc Quang.
    In: Research in International Business and Finance.
    RePEc:eee:riibaf:v:61:y:2022:i:c:s0275531922000654.

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20. The impact of VIX on China’s financial market: A new perspective based on high-dimensional and time-varying methods. (2022). Sun, Yan-Lin ; Chen, Bin-Xia.
    In: The North American Journal of Economics and Finance.
    RePEc:eee:ecofin:v:63:y:2022:i:c:s1062940822001668.

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21. Forecasting the total market value of a shares traded in the Shenzhen stock exchange via the neural network. (2022). Zhang, Yun ; Xu, Xiaojie.
    In: Economics Bulletin.
    RePEc:ebl:ecbull:eb-21-01165.

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22. Dynamic price discovery in Chinese agricultural futures markets. (2021). Xiong, Tao ; Li, Miao.
    In: Journal of Asian Economics.
    RePEc:eee:asieco:v:76:y:2021:i:c:s1049007821000993.

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23. Are futures markets functioning well for agricultural perishables? Evidence from Chinas apple futures market. (). Ren, Yanjun ; Glauben, Thomas ; Mao, Qianqian ; Loy, Jens-Peter.
    In: Agricultural Economics.
    RePEc:caa:jnlage:v:preprint:id:278-2023-agricecon.

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1. The impact of futures trade on the informational efficiency of the U.S. REIT market. (2025). Sohn, Sungbin ; Jeong, Minhyuk ; Jang, Hanwool ; Ahn, Kwangwon.
   In: Financial Innovation.
   RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-024-00715-2.

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2. Measuring and benchmarking time-varying market efficiency. (2024). Mu, Yali.
   In: IAAE 2024 Conference, August 2-7, 2024, New Delhi, India.
   RePEc:ags:cfcp15:344294.

   Full description at Econpapers || Download paper

3. Are futures markets functioning well for agricultural perishables? Evidence from Chinas apple futures market. (2023). Glauben, Thomas ; Ren, Yanjun ; Mao, Qianqian ; Loy, Jens-Peter.
   In: EconStor Open Access Articles and Book Chapters.
   RePEc:zbw:espost:283070.

   Full description at Econpapers || Download paper

4. Price discovery in Chinas crude oil futures markets: An emerging Asian benchmark?. (2023). Yu, Ziliang ; Webb, Robert I ; Yang, Jian.
   In: Journal of Futures Markets.
   RePEc:wly:jfutmk:v:43:y:2023:i:3:p:297-324.

   Full description at Econpapers || Download paper

5. Text‐based soybean futures price forecasting: A two‐stage deep learning approach. (2023). Zeng, Yurong ; An, Wuyue ; Wang, Lin.
   In: Journal of Forecasting.
   RePEc:wly:jforec:v:42:y:2023:i:2:p:312-330.

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6. Asymmetric price adjustment and price discovery in spot and futures markets of agricultural commodities. (2023). Chen, Zhuo ; Liu, Liyu ; Kang, Hanwen ; Yan, BO.
   In: Review of Economic Design.
   RePEc:spr:reecde:v:27:y:2023:i:1:d:10.1007_s10058-021-00276-1.

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7. Declining trade interest in Indian commodity derivatives: a survey-based study on cardamom futures contract. (2023). Vijayakumar, A N.
   In: Global Business and Economics Review.
   RePEc:ids:gbusec:v:28:y:2023:i:3:p:333-346.

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8. Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets. (2023). Zhou, Wei-Xing ; Dai, Yun-Shi.
   In: Journal of International Financial Markets, Institutions and Money.
   RePEc:eee:intfin:v:88:y:2023:i:c:s1042443123000884.

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9. Are futures markets functioning well for agricultural perishables? Evidence from Chinas apple futures market. (2023). Glauben, Thomas ; Ren, Yanjun ; Mao, Qianqian ; Loy, Jens-Peter.
   In: Agricultural Economics.
   RePEc:caa:jnlage:v:69:y:2023:i:12:id:278-2023-agricecon.

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10. Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets. (2023). Zhou, Wei-Xing ; Dai, Yun-Shi.
    In: Papers.
    RePEc:arx:papers:2303.11030.

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11. Futures–spot price transmission in EU corn markets. (2022). Trestini, Samuele ; Giampietri, Elisa ; Penone, Carlotta.
    In: Agribusiness.
    RePEc:wly:agribz:v:38:y:2022:i:3:p:679-709.

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12. A novel text-based framework for forecasting agricultural futures using massive online news headlines. (2022). Li, jianping ; Zhu, Xiaoqian ; Liu, Mingxi ; Wei, LU.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:38:y:2022:i:1:p:35-50.

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13. Testing for asymmetric cointegration of Italian agricultural commodities prices: Evidence from the futures-spot market relationship. (2022). Trestini, Samuele ; Penone, Carlotta.
    In: Agricultural Economics.
    RePEc:caa:jnlage:v:68:y:2022:i:2:id:226-2021-agricecon.

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14. Estimating dynamic market efficiency frontiers. (2022). Mu, Yali ; von Cramontaubadel, Stephan.
    In: Journal of Agricultural Economics.
    RePEc:bla:jageco:v:73:y:2022:i:3:p:633-653.

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15. Could Exist a Causality Between the Most Traded Commodities and Futures Commodity Prices in the Agricultural Market?. (2022). Ermak, Michal ; Ligocka, Marie.
    In: AGRIS on-line Papers in Economics and Informatics.
    RePEc:ags:aolpei:330101.

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16. Global wheat market dynamics: What is the role of the EU and the Black Sea wheat exporters?. (2021). Svanidze, Miranda ; Uri, Ivan.
    In: EconStor Open Access Articles and Book Chapters.
    RePEc:zbw:espost:237575.

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17. Price discovery in chinese agricultural futures markets: A comprehensive look. (2021). Yang, Jian ; Li, Zheng ; Wang, Tao.
    In: Journal of Futures Markets.
    RePEc:wly:jfutmk:v:41:y:2021:i:4:p:536-555.

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18. Global Wheat Market Dynamics: What Is the Role of the EU and the Black Sea Wheat Exporters?. (2021). Svanidze, Miranda ; Uri, Ivan.
    In: Agriculture.
    RePEc:gam:jagris:v:11:y:2021:i:8:p:799-:d:619290.

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19. Dynamic price discovery in Chinese agricultural futures markets. (2021). Xiong, Tao ; Li, Miao.
    In: Journal of Asian Economics.
    RePEc:eee:asieco:v:76:y:2021:i:c:s1049007821000993.

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20. Measuring price discovery in the European wheat market using the partial cointegration approach. (2020). von Cramon-Taubadel, Stephan ; Vollmer, Teresa ; Herwartz, Helmut.
    In: European Review of Agricultural Economics.
    RePEc:oup:erevae:v:47:y:2020:i:3:p:1173-1200..

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21. Price discovery in Bitcoin: The impact of unregulated markets. (2020). Alexander, Carol ; Heck, Daniel F.
    In: Journal of Financial Stability.
    RePEc:eee:finsta:v:50:y:2020:i:c:s1572308920300759.

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22. Determinants of spatial market efficiency of grain markets in Russia. (2019). Götz, Linde ; Svanidze, Miranda ; Gotz, Linde.
    In: EconStor Open Access Articles and Book Chapters.
    RePEc:zbw:espost:207027.

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23. Determinants of spatial market efficiency of grain markets in Russia. (2019). Götz, Linde ; Svanidze, Miranda ; Gotz, Linde.
    In: Food Policy.
    RePEc:eee:jfpoli:v:89:y:2019:i:c:s0306919219305913.

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24. Are futures markets functioning well for agricultural perishables? Evidence from Chinas apple futures market. (). Ren, Yanjun ; Glauben, Thomas ; Mao, Qianqian ; Loy, Jens-Peter.
    In: Agricultural Economics.
    RePEc:caa:jnlage:v:preprint:id:278-2023-agricecon.

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