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Sungbin Sohn

Personal Details

First Name:Sungbin
Middle Name:
Last Name:Sohn
Suffix:
In ASCII letters:
RePEc Short-ID:pso784
[This author has chosen not to make the email address public]
https://sites.google.com/view/sungbinsohn/home
Terminal Degree:2012 Department of Economics; University of California-Berkeley (from RePEc Genealogy)

Affiliation

College of Economics
Sogang University

Seoul, South Korea
https://econ.sogang.ac.kr/
RePEc:edi:ccsogkr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Jaehyuk Choi & Lei Lu & Heungju Park & Sungbin Sohn, 2022. "The financial value of the within-government political network: Evidence from Chinese municipal corporate bonds," Papers 2201.01160, arXiv.org.
  2. Jaehyuk Choi & Desheng Ge & Kyu Ho Kang & Sungbin Sohn, 2021. "Yield Spread Selection in Predicting Recession Probabilities: A Machine Learning Approach," Papers 2101.09394, arXiv.org, revised Jan 2022.

Articles

  1. Kwangwon Ahn & Hanwool Jang & Minhyuk Jeong & Sungbin Sohn, 2025. "The impact of futures trade on the informational efficiency of the U.S. REIT market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-24, December.
  2. Jaehyuk Choi & Desheng Ge & Kyu Ho Kang & Sungbin Sohn, 2023. "Yield spread selection in predicting recession probabilities," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1772-1785, November.
  3. Choi, Jaehyuk & Lu, Lei & Park, Heungju & Sohn, Sungbin, 2022. "The financial value of the within-government political network: Evidence from Chinese municipal corporate bonds," Finance Research Letters, Elsevier, vol. 47(PA).
  4. Shu, Yaruo & Sohn, Sungbin, 2022. "Idiosyncratic return variation: Firm-specific information or noise?," Finance Research Letters, Elsevier, vol. 47(PA).
  5. Yi, Eojin & Cho, Yerim & Sohn, Sungbin & Ahn, Kwangwon, 2021. "After the Splits: Information Flow between Bitcoin and Bitcoin Family," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
  6. Park, Heungju & Sohn, Sungbin, 2021. "Flight to quality and implicit guarantee: Evidence from Chinese trust products," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 399-419.
  7. Carol Alexander & Jaehyuk Choi & Heungju Park & Sungbin Sohn, 2020. "BitMEX bitcoin derivatives: Price discovery, informational efficiency, and hedging effectiveness," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 23-43, January.
  8. Alexander, Carol & Choi, Jaehyuk & Massie, Hamish R.A. & Sohn, Sungbin, 2020. "Price discovery and microstructure in ether spot and derivative markets," International Review of Financial Analysis, Elsevier, vol. 71(C).
  9. K. Ahn & D. Lee & S. Sohn & B. Yang, 2019. "Stock market uncertainty and economic fundamentals: an entropy-based approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(7), pages 1151-1163, July.
  10. Kwangwon Ahn & Yingyao Bi & Sungbin Sohn, 2019. "Price discovery among SSE 50 Index‐based spot, futures, and options markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 238-259, February.
  11. Hanwool Jang & Yena Song & Sungbin Sohn & Kwangwon Ahn, 2018. "Real Estate Soars and Financial Crises: Recent Stories," Sustainability, MDPI, vol. 10(12), pages 1-12, December.
  12. Sungbin Sohn & Xiaofeng Zhang, 2017. "Could the Extended Trading of CSI 300 Index Futures Facilitate Its Role of Price Discovery?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(7), pages 717-740, July.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jaehyuk Choi & Lei Lu & Heungju Park & Sungbin Sohn, 2022. "The financial value of the within-government political network: Evidence from Chinese municipal corporate bonds," Papers 2201.01160, arXiv.org.

    Cited by:

    1. Ren, Zhaoyue & Xiong, Yang & Huang, Yongjian, 2024. "Local officials’ sentiment and government financing cost: Evidence from Chengtou bonds in China," Finance Research Letters, Elsevier, vol. 63(C).

Articles

  1. Kwangwon Ahn & Hanwool Jang & Minhyuk Jeong & Sungbin Sohn, 2025. "The impact of futures trade on the informational efficiency of the U.S. REIT market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-24, December.

    Cited by:

    1. Alessio Abeltino & Andrea Pannone & Andrea Bernardini, 2026. "Speculation and retail price transmission in the frozen concentrated orange juice market: a causal machine learning analysis," Future Business Journal, Springer, vol. 12(1), pages 1-15, December.

  2. Jaehyuk Choi & Desheng Ge & Kyu Ho Kang & Sungbin Sohn, 2023. "Yield spread selection in predicting recession probabilities," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1772-1785, November.

    Cited by:

    1. Kajal Lahiri & Cheng Yang, 2023. "ROC and PRC Approaches to Evaluate Recession Forecasts," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 119-148, September.
    2. Visa Kuntze, 2026. "The Role of Coincident Information in Real‐Time Business Cycle Forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(6), pages 2890-2904, September.
    3. Philip Rademacher, 2025. "Forecasting Recessions in Germany with Feature Selection and Machine Learning," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 21(2), pages 119-157, December.

  3. Choi, Jaehyuk & Lu, Lei & Park, Heungju & Sohn, Sungbin, 2022. "The financial value of the within-government political network: Evidence from Chinese municipal corporate bonds," Finance Research Letters, Elsevier, vol. 47(PA).
    See citations under working paper version above.
  4. Shu, Yaruo & Sohn, Sungbin, 2022. "Idiosyncratic return variation: Firm-specific information or noise?," Finance Research Letters, Elsevier, vol. 47(PA).

    Cited by:

    1. Bai, Jiangtao & Song, He & Wang, Haojie & Liu, Yuetong, 2025. "Economic policy uncertainty and stock market reactions to earnings announcements: Evidence from China," Finance Research Letters, Elsevier, vol. 85(PA).

  5. Yi, Eojin & Cho, Yerim & Sohn, Sungbin & Ahn, Kwangwon, 2021. "After the Splits: Information Flow between Bitcoin and Bitcoin Family," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).

    Cited by:

    1. Assaf, Ata & Mokni, Khaled & Youssef, Manel, 2023. "COVID-19 and information flow between cryptocurrencies, and conventional financial assets," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 73-81.
    2. Jenni, Matthew & Schadner, Wolfgang & Angerer, Martin, 2025. "Hard forks, hard questions: Unraveling the microstructure effects on Bitcoin’s return, volume, and volatility," Economics Letters, Elsevier, vol. 257(C).
    3. Kong, Xiaolin & Ma, Chaoqun & Ren, Yi-Shuai & Baltas, Konstantinos & Narayan, Seema, 2024. "A comparative analysis of the price explosiveness in Bitcoin and forked coins," Finance Research Letters, Elsevier, vol. 61(C).
    4. Khaki, Audil & Prasad, Mason & Al-Mohamad, Somar & Bakry, Walid & Vo, Xuan Vinh, 2023. "Re-evaluating portfolio diversification and design using cryptocurrencies: Are decentralized cryptocurrencies enough?," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Hyeonoh Kim & Eojin Yi & Daeyong Lee & Kwangwon Ahn, 2022. "Technological Change and Market Conditions: Evidence from Bitcoin Fork," Complexity, John Wiley & Sons, vol. 2022(1).
    6. Kihwan Jo & Gahyun Choi & Jongwook Jeong & Kwangwon Ahn, 2023. "Information flow among stocks, bonds, and convertible bonds," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-12, March.
    7. Yaçine Merrad & Mohamed Hadi Habaebi & Elfatih A. A. Elsheikh & Fakher Eldin. M. Suliman & Md Rafiqul Islam & Teddy Surya Gunawan & Mokhtaria Mesri, 2022. "Blockchain: Consensus Algorithm Key Performance Indicators, Trade-Offs, Current Trends, Common Drawbacks, and Novel Solution Proposals," Mathematics, MDPI, vol. 10(15), pages 1-35, August.
    8. Hyeonoh Kim & Eojin Yi & Jooyoung Jeon & Taeyoung Park & Kwangwon Ahn, 2024. "After the Split: Market Efficiency of Bitcoin Cash," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 411-427, July.
    9. Bonga-Bonga, Lumengo & Khalique, Muhammad Masood, 2023. "The dynamic relationship between digital currency and other financial markets in developed and emerging markets," MPRA Paper 118654, University Library of Munich, Germany.
    10. Yi, Eojin & Ahn, Kwangwon & Choi, M.Y., 2022. "Cryptocurrency: Not far from equilibrium," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    11. Kong, Xiaolin & Ma, Chaoqun & Ren, Yi-Shuai & Narayan, Seema & Nguyen, Thong Trung & Baltas, Konstantinos, 2023. "Changes in the market structure and risk management of Bitcoin and its forked coins," Research in International Business and Finance, Elsevier, vol. 65(C).
    12. Kim, Daehan & Ryu, Doojin & Webb, Robert I., 2023. "Determination of equilibrium transaction fees in the Bitcoin network: A rank-order contest," International Review of Financial Analysis, Elsevier, vol. 86(C).
    13. Sihyun An & Jihae Kim & Gahyun Choi & Hanwool Jang & Kwangwon Ahn, 2024. "The effect of rare events on information-leading role: evidence from real estate investment trusts and overall stock markets," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.

  6. Carol Alexander & Jaehyuk Choi & Heungju Park & Sungbin Sohn, 2020. "BitMEX bitcoin derivatives: Price discovery, informational efficiency, and hedging effectiveness," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 23-43, January.

    Cited by:

    1. Lai T. Hoang & Dirk G. Baur, 2020. "Forecasting bitcoin volatility: Evidence from the options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1584-1602, October.
    2. Erdinc Akyildirim & Oguzhan Cepni & Shaen Corbet & Gazi Salah Uddin, 2023. "Forecasting mid-price movement of Bitcoin futures using machine learning," Annals of Operations Research, Springer, vol. 330(1), pages 553-584, November.
    3. Shimeng Shi, 2022. "Bitcoin futures risk premia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2190-2217, December.
    4. Julien Chevallier & Dominique Guégan & Stéphane Goutte, 2021. "Is It Possible to Forecast the Price of Bitcoin?," Post-Print halshs-04250269, HAL.
    5. Azhar Mohamad & Sarveshwar Kumar Inani, 2023. "Price discovery in bitcoin spot or futures during the Covid-19 pandemic? Evidence from the time-varying parameter vector autoregressive model with stochastic volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 30(19), pages 2749-2757, November.
    6. Jaehyun Kim & Hyungbin Park, 2025. "Designing funding rates for perpetual futures in cryptocurrency markets," Papers 2506.08573, arXiv.org.
    7. Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
    8. Alexander, Carol & Deng, Jun & Feng, Jianfen & Wan, Huning, 2023. "Net buying pressure and the information in bitcoin option trades," Journal of Financial Markets, Elsevier, vol. 63(C).
    9. Kwangwon Ahn & Hanwool Jang & Minhyuk Jeong & Sungbin Sohn, 2025. "The impact of futures trade on the informational efficiency of the U.S. REIT market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-24, December.
    10. Andrei Shynkevich, 2021. "Impact of bitcoin futures on the informational efficiency of bitcoin spot market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 115-134, January.
    11. Bilel Sanhaji & Julien Chevallier, 2023. "Tracking ‘Pure’ Systematic Risk with Realized Betas for Bitcoin and Ethereum," Econometrics, MDPI, vol. 11(3), pages 1-36, August.
    12. Carol Alexander & Jun Deng & Bin Zou, 2021. "Hedging with Bitcoin Futures: The Effect of Liquidation Loss Aversion and Aggressive Trading," Papers 2101.01261, arXiv.org, revised Aug 2021.
    13. Erdong Chen & Mengzhong Ma & Zixin Nie, 2024. "Exploring the Impact: How Decentralized Exchange Designs Shape Traders' Behavior on Perpetual Future Contracts," Papers 2402.03953, arXiv.org, revised Apr 2024.
    14. Andrei Shynkevich, 2026. "Trading Periodicity and Algorithmic Divide in Cryptocurrency Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 46(5), pages 904-930, May.
    15. Oliver Entrop & Bart Frijns & Marco Seruset, 2020. "The determinants of price discovery on bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 816-837, May.
    16. Apostolakis, George N., 2024. "Bitcoin price volatility transmission between spot and futures markets," International Review of Financial Analysis, Elsevier, vol. 94(C).
    17. Jun Deng & Huifeng Pan & Shuyu Zhang & Bin Zou, 2021. "Optimal Bitcoin trading with inverse futures," Annals of Operations Research, Springer, vol. 304(1), pages 139-163, September.
    18. Stefan Scharnowski & Hossein Jahanshahloo, 2025. "The Economics of Liquid Staking Derivatives: Basis Determinants and Price Discovery," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(2), pages 91-117, February.
    19. Alexander, Carol & Deng, Jun & Zou, Bin, 2023. "Hedging with automatic liquidation and leverage selection on bitcoin futures," European Journal of Operational Research, Elsevier, vol. 306(1), pages 478-493.
    20. Carol Alexander & Xi Chen & Jun Deng & Qi Fu, 2025. "Price Discovery and Efficiency in Uniswap Liquidity Pools," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(8), pages 1023-1048, August.
    21. Erdong Chen & Mengzhong Ma & Zixin Nie, 2024. "Perpetual future contracts in centralized and decentralized exchanges: Mechanism and traders’ behavior," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-36, December.
    22. Alexander, Carol & Heck, Daniel F., 2020. "Price discovery in Bitcoin: The impact of unregulated markets," Journal of Financial Stability, Elsevier, vol. 50(C).
    23. Helder Miguel Correia Virtuoso Sebastião & Paulo José Osório Rupino Da Cunha & Pedro Manuel Cortesão Godinho, 2021. "Cryptocurrencies and blockchain. Overview and future perspectives," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 21(3), pages 305-342.
    24. Guillermo Angeris & Tarun Chitra & Alex Evans & Matthew Lorig, 2022. "A primer on perpetuals," Papers 2209.03307, arXiv.org.
    25. Ramshreyas Rao, 2025. "Agent-Based Simulation of a Perpetual Futures Market," Papers 2501.09404, arXiv.org.
    26. Shimeng Shi & Jia Zhai & Yingying Wu, 2024. "Informational inefficiency on bitcoin futures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(6), pages 642-667, April.
    27. Hu, Yang & Hou, Yang Greg & Oxley, Les, 2020. "What role do futures markets play in Bitcoin pricing? Causality, cointegration and price discovery from a time-varying perspective?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    28. Pati, Pratap Chandra, 2022. "Informativeness of CME Micro Bitcoin Futures in Pricing of Bitcoin: Intraday Evidence," Finance Research Letters, Elsevier, vol. 49(C).
    29. Dirk G. Baur & Lee A. Smales, 2022. "Trading behavior in bitcoin futures: Following the “smart money”," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(7), pages 1304-1323, July.
    30. Rui Ma & Ben R Marshall & Nhut H Nguyen & Nuttawat Visaltanachoti, 2022. "Does bitcoin liquidity resemble the liquidity of other financial assets?," Australian Journal of Management, Australian School of Business, vol. 47(4), pages 729-748, November.
    31. Songrun He & Asaf Manela & Omri Ross & Victor von Wachter, 2022. "Fundamentals of Perpetual Futures," Papers 2212.06888, arXiv.org, revised Sep 2026.
    32. Nam Anh Le, 2026. "Funding-Aware Optimal Market Making for Perpetual DEXs," Papers 2605.06405, arXiv.org.
    33. Arun Narayanasamy & Humnath Panta & Rohit Agarwal, 2023. "Relations among Bitcoin Futures, Bitcoin Spot, Investor Attention, and Sentiment," JRFM, MDPI, vol. 16(11), pages 1-24, November.
    34. Felföldi-Szűcs, Nóra & Králik, Balázs & Váradi, Kata, 2024. "Put–call parity in a crypto option market — Evidence from Binance," Finance Research Letters, Elsevier, vol. 61(C).
    35. Efe Caglar Cagli & Pinar Evrim Mandaci, 2021. "Information transmission between bitcoin derivatives and spot markets: high-frequency causality analysis with Fourier approximation," Economics and Business Letters, Oviedo University Press, vol. 10(4), pages 394-402.
    36. Johnson, William C. & Scharnowski, Stefan, 2025. "Price discovery through wrapped tokens," Economics Letters, Elsevier, vol. 257(C).
    37. Alexander, Carol & Choi, Jaehyuk & Massie, Hamish R.A. & Sohn, Sungbin, 2020. "Price discovery and microstructure in ether spot and derivative markets," International Review of Financial Analysis, Elsevier, vol. 71(C).
    38. Takahiro Hattori & Ryo Ishida, 2021. "The relationship between arbitrage in futures and spot markets and Bitcoin price movements: Evidence from the Bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 105-114, January.
    39. Cynthia Weiyi Cai & Rui Xue & Bi Zhou, 2023. "Cryptocurrency puzzles: a comprehensive review and re-introduction," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 46(1), pages 26-50, June.
    40. Yeguang Chi & Wenyan Hao, 2020. "A Horserace of Volatility Models for Cryptocurrency: Evidence from Bitcoin Spot and Option Markets," Papers 2010.07402, arXiv.org.
    41. Gemayel, Roland & Franus, Tatiana & Bowden, James, 2023. "Price discovery between Bitcoin spot markets and exchange traded products," Economics Letters, Elsevier, vol. 228(C).
    42. Chi, Yeguang & Hao, Wenyan, 2021. "Volatility models for cryptocurrencies and applications in the options market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    43. Guo, Zi-Yi, 2021. "Price volatilities of bitcoin futures," Finance Research Letters, Elsevier, vol. 43(C).
    44. Zhiyong Cheng & Jun Deng & Tianyi Wang & Mei Yu, 2021. "Liquidation, Leverage and Optimal Margin in Bitcoin Futures Markets," Papers 2102.04591, arXiv.org.
    45. Han, Qian & Zhao, Chengzhi & Chen, Jing & Guo, Qian, 2025. "Does asynchronous market update matter? Re-examining the price discovery of stock index and futures in China," Emerging Markets Review, Elsevier, vol. 67(C).
    46. Hattori, Takahiro & Ishida, Ryo, 2021. "Did the introduction of Bitcoin futures crash the Bitcoin market at the end of 2017?," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    47. Alexander, Carol & Chen, Xi & Deng, Jun & Wang, Tianyi, 2024. "Arbitrage opportunities and efficiency tests in crypto derivatives," Journal of Financial Markets, Elsevier, vol. 71(C).
    48. Riccardo De Blasis & Alexander Webb, 2022. "Arbitrage, contract design, and market structure in Bitcoin futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 492-524, March.
    49. Kiana Kia & Bo Liu & Qian Li & Victor Song & Ke Xu, 2026. "Price Discovery in Bitcoin ETF Market," The Financial Review, Eastern Finance Association, vol. 61(2), pages 435-449, May.
    50. Bouteska, Ahmed & Harasheh, Murad, 2023. "Bitcoin volatility and the introduction of bitcoin futures: A portfolio construction approach," Finance Research Letters, Elsevier, vol. 57(C).
    51. Julien Chevallier & Bilel Sanhaji, 2023. "Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices," Stats, MDPI, vol. 6(4), pages 1-32, December.
    52. Day, Min-Yuh & Ni, Yensen, 2023. "The profitability of seasonal trading timing: Insights from energy-related markets," Energy Economics, Elsevier, vol. 128(C).
    53. Azhar Mohamad, 2025. "Do Bitcoin ETFs Lead Price Discovery Following their Introduction in the Bitcoin Market?," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 947-969, July.
    54. Jakob Albers & Mihai Cucuringu & Sam Howison & Alexander Y. Shestopaloff, 2021. "Fragmentation, Price Formation, and Cross-Impact in Bitcoin Markets," Papers 2108.09750, arXiv.org.
    55. Guo, Zi-Yi, 2022. "Risk management of Bitcoin futures with GARCH models," Finance Research Letters, Elsevier, vol. 45(C).

  7. Alexander, Carol & Choi, Jaehyuk & Massie, Hamish R.A. & Sohn, Sungbin, 2020. "Price discovery and microstructure in ether spot and derivative markets," International Review of Financial Analysis, Elsevier, vol. 71(C).

    Cited by:

    1. Brini, Alessio & Lenz, Jimmie, 2024. "Pricing cryptocurrency options with machine learning regression for handling market volatility," Economic Modelling, Elsevier, vol. 136(C).
    2. Muneer M. Alshater & Mayank Joshipura & Rim El Khoury & Nohade Nasrallah, 2023. "Initial Coin Offerings: a Hybrid Empirical Review," Small Business Economics, Springer, vol. 61(3), pages 891-908, October.
    3. Conlon, Thomas & Corbet, Shaen & McGee, Richard J., 2024. "The Bitcoin volume-volatility relationship: A high frequency analysis of futures and spot exchanges," International Review of Financial Analysis, Elsevier, vol. 91(C).
    4. Prashant Sharma & Prashant Gupta & Dinesh Kumar Sharma & Gaurav Agarwal, 2022. "Investigating the Efficiency of Bitcoin Futures in Price Discovery," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 12(3), pages 104-109, May.
    5. Apostolakis, George N., 2024. "Bitcoin price volatility transmission between spot and futures markets," International Review of Financial Analysis, Elsevier, vol. 94(C).
    6. Robert Garrison & Pankaj K. Jain & Mark Paddrik, 2024. "Cross‐Asset Tandem Trading and Extraordinary Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(9), pages 1508-1542, September.
    7. Weige Huang & Xiang Gao, 2023. "Forecasting Bitcoin Futures: A Lasso-BMA Two-Step Predictor Selection for Investment and Hedging Strategies," SAGE Open, , vol. 13(1), pages 21582440231, January.
    8. Elie Bouri & Ladislav Kristoufek & Tanveer Ahmad & Syed Jawad Hussain Shahzad, 2024. "Microstructure noise and idiosyncratic volatility anomalies in cryptocurrencies," Annals of Operations Research, Springer, vol. 334(1), pages 547-573, March.
    9. Lien, Donald, 2022. "Comparisons of Alternative Information Share Measures," Finance Research Letters, Elsevier, vol. 50(C).
    10. Urquhart, Andrew, 2022. "Under the hood of the Ethereum blockchain," Finance Research Letters, Elsevier, vol. 47(PA).
    11. Su, Fei & Wang, Xinyi & Yuan, Yulin, 2022. "The intraday dynamics and intraday price discovery of bitcoin," Research in International Business and Finance, Elsevier, vol. 60(C).
    12. Johnson, William C. & Scharnowski, Stefan, 2025. "Price discovery through wrapped tokens," Economics Letters, Elsevier, vol. 257(C).
    13. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    14. Shilov, Kirill (Шилов, Кирилл) & Zubarev, Andrey (Зубарев, Андрей), 2023. "Return factors of Ether cryptocurrency: on chain metrics and DeFi," Working Papers w20220221, Russian Presidential Academy of National Economy and Public Administration.
    15. Takahiro Hattori & Ryo Ishida, 2021. "The relationship between arbitrage in futures and spot markets and Bitcoin price movements: Evidence from the Bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 105-114, January.
    16. Yeguang Chi & Wenyan Hao, 2020. "A Horserace of Volatility Models for Cryptocurrency: Evidence from Bitcoin Spot and Option Markets," Papers 2010.07402, arXiv.org.
    17. Chi, Yeguang & Hao, Wenyan, 2021. "Volatility models for cryptocurrencies and applications in the options market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    18. Alexander, Carol & Chen, Xi & Deng, Jun & Wang, Tianyi, 2024. "Arbitrage opportunities and efficiency tests in crypto derivatives," Journal of Financial Markets, Elsevier, vol. 71(C).
    19. Kirill D. Shilov & Andrei V. Zubarev, 2023. "Factors of Ethereum Profitability as a Platform for Creating Decentrilized Applications," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 95-115, February.
    20. Christian Kreuzer & Christian Sparrer & Gregor Dorfleitner, 2026. "Beyond pure hype: news sentiment and its role in the BTC and ETH futures market," Review of Derivatives Research, Springer, vol. 29(1), pages 1-36, December.

  8. K. Ahn & D. Lee & S. Sohn & B. Yang, 2019. "Stock market uncertainty and economic fundamentals: an entropy-based approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(7), pages 1151-1163, July.

    Cited by:

    1. Andrey Shternshis & Piero Mazzarisi & Stefano Marmi, 2022. "Efficiency of the Moscow Stock Exchange before 2022," Papers 2207.10476, arXiv.org, revised Jul 2022.
    2. Lu, Xinjie & Ma, Feng & Wang, Tianyang & Wen, Fenghua, 2023. "International stock market volatility: A data-rich environment based on oil shocks," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 184-215.
    3. Andrey Shternshis & Stefano Marmi, 2023. "Price predictability at ultra-high frequency: Entropy-based randomness test," Papers 2312.16637, arXiv.org, revised May 2024.
    4. Lavín, Jaime F. & Valle, Mauricio A. & Magner, Nicolás S., 2024. "Stock market pattern recognition using symbol entropy analysis," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    5. Bariviera, Aurelio F. & Font-Ferrer, Alejandro & Sorrosal-Forradellas, M. Teresa & Rosso, Osvaldo A., 2019. "An information theory perspective on the informational efficiency of gold price," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    6. Yi, Eojin & Cho, Yerim & Sohn, Sungbin & Ahn, Kwangwon, 2021. "After the Splits: Information Flow between Bitcoin and Bitcoin Family," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    7. Hyeonoh Kim & Eojin Yi & Daeyong Lee & Kwangwon Ahn, 2022. "Technological Change and Market Conditions: Evidence from Bitcoin Fork," Complexity, John Wiley & Sons, vol. 2022(1).
    8. Kihwan Jo & Gahyun Choi & Jongwook Jeong & Kwangwon Ahn, 2023. "Information flow among stocks, bonds, and convertible bonds," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-12, March.
    9. Thach Pham & Deepa Bannigidadmath & Robert Powell, 2025. "Industry return predictability using health policy uncertainty," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-42, December.
    10. Yi, Eojin & Ahn, Kwangwon & Choi, M.Y., 2022. "Cryptocurrency: Not far from equilibrium," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    11. Ma, Feng & Lu, Xinjie & Liu, Jia & Huang, Dengshi, 2022. "Macroeconomic attention and stock market return predictability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    12. Ryu, Inug & Jang, Hanwool & Kim, Dongshin & Ahn, Kwangwon, 2021. "Market Efficiency of US REITs: A Revisit," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    13. Kleyton da Costa, 2023. "Anomaly Detection in Global Financial Markets with Graph Neural Networks and Nonextensive Entropy," Papers 2308.02914, arXiv.org, revised Aug 2023.
    14. Hasan Ayaydın & Said Abdullah Shırzadı & Hasan Celal Balıkçı & Abdel-Aziz Ahmad Sharabati & Abdulkadir Barut, 2026. "Entropy-based VIKOR and TOPSIS approaches for financial performance ranking: evidence from Turkish cement companies listed on Borsa Istanbul," Quality & Quantity: International Journal of Methodology, Springer, vol. 60(2), pages 5583-5605, April.
    15. Shternshis, Andrey & Mazzarisi, Piero & Marmi, Stefano, 2022. "Measuring market efficiency: The Shannon entropy of high-frequency financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    16. Artem Stopochkin & Inessa Sytnik & Janusz Wielki & Nataliia Zemlianska, 2021. "Methodology for Building Trader's Investment Strategy Based on Assessment of the Market Value of the Company," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 913-935.
    17. Zhou, Yang & Xie, Chi & Wang, Gang-Jin & Gong, Jue & Li, Zhao-Chen & Zhu, You, 2024. "Who dominate the information flowing between innovative and traditional financial assets? A multiscale entropy-based approach," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 329-358.
    18. Jang, Hanwool & Song, Yena & Ahn, Kwangwon, 2020. "Can government stabilize the housing market? The evidence from South Korea," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).

  9. Kwangwon Ahn & Yingyao Bi & Sungbin Sohn, 2019. "Price discovery among SSE 50 Index‐based spot, futures, and options markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 238-259, February.

    Cited by:

    1. Yi, Eojin & Cho, Yerim & Sohn, Sungbin & Ahn, Kwangwon, 2021. "After the Splits: Information Flow between Bitcoin and Bitcoin Family," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    2. Da Dong & Qingfu Liu & Pingping Tao & Zhiliang Ying, 2021. "The pricing mechanism between ETF option and spot markets in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1286-1300, August.
    3. Sebastiano Michele Zema & Francesco Cordoni, 2023. "A non-Normal framework for price discovery: The independent component based information shares measure," LEM Papers Series 2023/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Liu, Shengnan & Yang, Linshan & Gu, Rongbao, 2023. "Can the introduction of stock index futures stabilize the volatility of the stock market? Evidence from the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 44-58.
    5. Kihwan Jo & Gahyun Choi & Jongwook Jeong & Kwangwon Ahn, 2023. "Information flow among stocks, bonds, and convertible bonds," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-12, March.
    6. Alexander, Carol & Heck, Daniel F., 2020. "Price discovery in Bitcoin: The impact of unregulated markets," Journal of Financial Stability, Elsevier, vol. 50(C).
    7. Ryu, Inug & Jang, Hanwool & Kim, Dongshin & Ahn, Kwangwon, 2021. "Market Efficiency of US REITs: A Revisit," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    8. Zhu, Fangfei & Luo, Xingguo & Jin, Xuejun, 2019. "Predicting the volatility of the iShares China Large-Cap ETF: What is the role of the SSE 50 ETF?," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    9. Doojin Ryu & Jinyoung Yu, 2021. "Informed options trading around holidays," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 658-685, May.
    10. Chaudhry, Neeru & Gupta, Aastha, 2024. "Impact of using derivatives on stock market liquidity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 97(C).
    11. Bin Wu & Pengzhan Chen & Wuyi Ye, 2021. "Jump activity analysis of the equity index and the corresponding volatility: Evidence from the Chinese market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(7), pages 1055-1073, July.
    12. Fassas, Athanasios P. & Papadamou, Stephanos & Koulis, Alexandros, 2020. "Price discovery in bitcoin futures," Research in International Business and Finance, Elsevier, vol. 52(C).
    13. Zema, Sebastiano Michele, 2022. "Directed acyclic graph based information shares for price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    14. Kim, Hyeonoh & Ha, Chang Yong & Ahn, Kwangwon, 2022. "Preference heterogeneity in Bitcoin and its forks' network," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    15. Gemayel, Roland & Franus, Tatiana & Bowden, James, 2023. "Price discovery between Bitcoin spot markets and exchange traded products," Economics Letters, Elsevier, vol. 228(C).
    16. Kai Wu & Yi Liu & Weiyang Feng, 2022. "The Effect of Index Option Trading on Stock Market Volatility in China: An Empirical Investigation," JRFM, MDPI, vol. 15(4), pages 1-19, March.
    17. Carol Alexander & Jaehyuk Choi & Heungju Park & Sungbin Sohn, 2020. "BitMEX bitcoin derivatives: Price discovery, informational efficiency, and hedging effectiveness," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 23-43, January.
    18. Jiang, Zhengyun & Zhou, Xin, 2024. "Trading activity, risk aversion, and risk neutral skewness: Evidence from SSE 50ETF option," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 378-399.
    19. Sebastiano Michele Zema, 2020. "Directed Acyclic Graph based Information Shares for Price Discovery," LEM Papers Series 2020/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  10. Hanwool Jang & Yena Song & Sungbin Sohn & Kwangwon Ahn, 2018. "Real Estate Soars and Financial Crises: Recent Stories," Sustainability, MDPI, vol. 10(12), pages 1-12, December.

    Cited by:

    1. Yi, Eojin & Cho, Yerim & Sohn, Sungbin & Ahn, Kwangwon, 2021. "After the Splits: Information Flow between Bitcoin and Bitcoin Family," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    2. Yi, Eojin & Ahn, Kwangwon & Choi, M.Y., 2022. "Cryptocurrency: Not far from equilibrium," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    3. Ryu, Inug & Jang, Hanwool & Kim, Dongshin & Ahn, Kwangwon, 2021. "Market Efficiency of US REITs: A Revisit," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    4. Weiwei Li & Lisheng Weng & Kaixu Zhao & Sidong Zhao & Ping Zhang, 2021. "Research on the Evaluation of Real Estate Inventory Management in China," Land, MDPI, vol. 10(12), pages 1-29, November.
    5. Kwangwon Ahn & Minhyuk Jeong & Jinu Kim & Domenico Tarzia & Ping Zhang, 2024. "Tightening policy and housing price bubbles: Examining an episode in the Chinese housing market," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-22, September.
    6. Yousaf, Imran & Beljid, Makram & Chaibi, Anis & Ajlouni, Ahmed AL, 2022. "Do volatility spillover and hedging among GCC stock markets and global factors vary from normal to turbulent periods? Evidence from the global financial crisis and Covid-19 pandemic crisis," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    7. Abd Samad, Khairunnisa & Mohd Daud, Siti Nurazira & Mohd Dali, Nuradli Ridzwan Shah, 2020. "Early Warning Indicators for Systemic Banking Crises: Household Debt and Property Prices," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(1), pages 121-134.
    8. Yijia Wen & Li Fang & Qing Li, 2022. "Commercial Real Estate Market at a Crossroads: The Impact of COVID-19 and the Implications to Future Cities," Sustainability, MDPI, vol. 14(19), pages 1-16, October.
    9. Jang, Hanwool & Song, Yena & Ahn, Kwangwon, 2020. "Can government stabilize the housing market? The evidence from South Korea," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).

  11. Sungbin Sohn & Xiaofeng Zhang, 2017. "Could the Extended Trading of CSI 300 Index Futures Facilitate Its Role of Price Discovery?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(7), pages 717-740, July.

    Cited by:

    1. Klein, Tony & Todorova, Neda, 2021. "Night trading with futures in China: The case of Aluminum and Copper," Resources Policy, Elsevier, vol. 73(C).
    2. Liwei Jin & Xianghui Yuan & Shihao Wang & Peiran Li & Feng Lian, 2022. "Trades or quotes: Which drives price discovery? Evidence from Chinese index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2235-2247, December.
    3. Mahmoud Qadan & David Y. Aharon, 2019. "The length of the trading day and trading volume," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 137-156, June.
    4. Ma, Gaoping & Bouri, Elie & Xu, Yahua & Zhou, Z. Ivy, 2025. "The “night effect” of intraday trading: Evidence from Chinese gold and silver futures markets," Global Finance Journal, Elsevier, vol. 64(C).
    5. Kwangwon Ahn & Yingyao Bi & Sungbin Sohn, 2019. "Price discovery among SSE 50 Index‐based spot, futures, and options markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 238-259, February.
    6. Carol Alexander & Jaehyuk Choi & Heungju Park & Sungbin Sohn, 2020. "BitMEX bitcoin derivatives: Price discovery, informational efficiency, and hedging effectiveness," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 23-43, January.
    7. Xiaojie Xu & Yun Zhang, 2023. "Neural network predictions of the high-frequency CSI300 first distant futures trading volume," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(2), pages 191-207, June.

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NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (1) 2021-02-15. Author is listed
  2. NEP-CFN: Corporate Finance (1) 2022-01-31. Author is listed
  3. NEP-CMP: Computational Economics (1) 2021-02-15. Author is listed
  4. NEP-MAC: Macroeconomics (1) 2021-02-15. Author is listed
  5. NEP-MON: Monetary Economics (1) 2021-02-15. Author is listed
  6. NEP-ORE: Operations Research (1) 2022-01-31. Author is listed

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