IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v87y2025icp831-859.html

Interconnectedness and determinants of sectoral stock markets in China: Insights from higher-order moment contagion analysis

Author

Listed:
  • Gao, Yang
  • Cao, Jiawen
  • Zhao, Wandi
  • Zhang, Mengwan

Abstract

With the acceleration of global economic integration and industrial convergence, cross-market risk contagion has become a pressing risk management concern. In particular, extreme risk events have become more prevalent in markets, potentially triggering the contagion of higher-order moment risks. Based on the Chinese stock sector indices, this study empirically examines higher-order moment risk spillovers in the time and frequency domains and investigates their influencing factors and cluster structure. The findings reveal that inter-sector higher-order moment risk spillovers demonstrate pronounced time-varying traits that are predominantly influenced by high-frequency effects. Moreover, a distinct two-cluster structure is evident in the transmission of higher-order moment risks among the sectors. Finally, the climate physical risk, climate transition risk, investor sentiment, Chinese economic policy uncertainty, and consumer price index significantly impact the inter-sector higher-order moment risk spillovers. The manifestations of these impacts display heterogeneity under low and high frequencies. This study enriches the cross-sectoral risk contagion analysis in the Chinese stock market from a higher-order moment perspective and provides an essential reference for investors and regulators.

Suggested Citation

  • Gao, Yang & Cao, Jiawen & Zhao, Wandi & Zhang, Mengwan, 2025. "Interconnectedness and determinants of sectoral stock markets in China: Insights from higher-order moment contagion analysis," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 831-859.
  • Handle: RePEc:eee:ecanpo:v:87:y:2025:i:c:p:831-859
    DOI: 10.1016/j.eap.2025.06.038
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S031359262500267X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2025.06.038?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Xu & Lv, Zhiyu & Naeem, Muhammad Abubakr & Rauf, Abdul & Liu, Jiawen, 2024. "Decomposing risk spillover effect in international stock market: A novel intertemporal network topology approach," Finance Research Letters, Elsevier, vol. 63(C).
    2. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Bonsu, Christiana Osei & Karikari, Nana Kwasi & Hammoudeh, Shawkat, 2022. "The effects of public sentiments and feelings on stock market behavior: Evidence from Australia," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 443-472.
    3. Fang, Hao & Chung, Chien-Ping & Lu, Yang-Cheng & Lee, Yen-Hsien & Wang, Wen-Hao, 2021. "The impacts of investors' sentiments on stock returns using fintech approaches," International Review of Financial Analysis, Elsevier, vol. 77(C).
    4. Chatziantoniou, Ioannis & Gabauer, David & Gupta, Rangan, 2023. "Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach," Resources Policy, Elsevier, vol. 84(C).
    5. Bouri, Elie & Lei, Xiaojie & Jalkh, Naji & Xu, Yahua & Zhang, Hongwei, 2021. "Spillovers in higher moments and jumps across US stock and strategic commodity markets," Resources Policy, Elsevier, vol. 72(C).
    6. Lv, Wendai & Li, Bin, 2023. "Climate policy uncertainty and stock market volatility: Evidence from different sectors," Finance Research Letters, Elsevier, vol. 51(C).
    7. Yin, Kedong & Liu, Zhe & Jin, Xue, 2020. "Interindustry volatility spillover effects in China’s stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    8. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    9. Hu, Min & Zhang, Dayong & Ji, Qiang & Wei, Lijian, 2020. "Macro factors and the realized volatility of commodities: A dynamic network analysis," Resources Policy, Elsevier, vol. 68(C).
    10. Wen, Fenghua & Liu, Zhen & Dai, Zhifeng & He, Shaoyi & Liu, Wenhua, 2022. "Multi-scale risk contagion among international oil market, Chinese commodity market and Chinese stock market: A MODWT-Vine quantile regression approach," Energy Economics, Elsevier, vol. 109(C).
    11. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2021. "Investor sentiment and stock returns: Global evidence," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 365-391.
    12. Harvey, Campbell R. & Siddique, Akhtar, 1999. "Autoregressive Conditional Skewness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(4), pages 465-487, December.
    13. Zhou, Dong-hai & Liu, Xiao-xing & Tang, Chun & Yang, Guang-yi, 2023. "Time-varying risk spillovers in Chinese stock market – New evidence from high-frequency data," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    14. Xu, Yongdeng & Guan, Bo & Lu, Wenna & Heravi, Saeed, 2024. "Macroeconomic shocks and volatility spillovers between stock, bond, gold and crude oil markets," Energy Economics, Elsevier, vol. 136(C).
    15. Huang, Junbo & Tian, Huiting & Shen, Weibing, 2023. "Characteristics and mechanisms of the U.S. stock market spillover effects on the Chinese A-share market: Evidence from 6 A-share broad-based and 31 sector indices," International Review of Financial Analysis, Elsevier, vol. 87(C).
    16. Dai, Zhifeng & Hu, Juan & Liu, Xinheng & Yang, Mi, 2024. "ynamic time-domain and frequency-domain spillovers and portfolio strategies between climate change attention and energy-relevant markets," Energy Economics, Elsevier, vol. 134(C).
    17. Zhang, Hongwei & Jin, Chen & Bouri, Elie & Gao, Wang & Xu, Yahua, 2023. "Realized higher-order moments spillovers between commodity and stock markets: Evidence from China," Journal of Commodity Markets, Elsevier, vol. 30(C).
    18. Mensi, Walid & Ko, Hee-Un & Sensoy, Ahmet & Kang, Sang Hoon, 2024. "Higher-order moment connectedness between stock and commodity markets and portfolio management," Resources Policy, Elsevier, vol. 89(C).
    19. Wu, JunFeng & Zhang, Chao & Chen, Yun, 2024. "Analysis of tail risk contagion among industry sectors in the Chinese stock market during the COVID-19 pandemic," Pacific-Basin Finance Journal, Elsevier, vol. 83(C).
    20. Wu, Fei & Zhang, Dayong & Zhang, Zhiwei, 2019. "Connectedness and risk spillovers in China’s stock market: A sectoral analysis," Economic Systems, Elsevier, vol. 43(3).
    21. Bouri, Elie & Jalkh, Naji, 2023. "Spillovers of joint volatility-skewness-kurtosis of major cryptocurrencies and their determinants," International Review of Financial Analysis, Elsevier, vol. 90(C).
    22. Yuan, Xianghui & Long, Jun & Li, Xiang & Zhao, Chencheng, 2025. "Asymmetric connectedness in the Chinese stock sectors: Overnight and daytime return spillovers," Pacific-Basin Finance Journal, Elsevier, vol. 89(C).
    23. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    24. Zhu, Bo & Hu, Xin & Deng, Yuanyue & Zhang, Bokai & Li, Xiru, 2023. "The differential effects of climate risks on non-fossil and fossil fuel stock markets: Evidence from China," Finance Research Letters, Elsevier, vol. 55(PB).
    25. Kei Nakagawa & Yusuke Uchiyama, 2020. "GO-GJRSK Model with Application to Higher Order Risk-Based Portfolio," Mathematics, MDPI, vol. 8(11), pages 1-12, November.
    26. Lv, Wendai & Qi, Jipeng & Feng, Jing, 2023. "Economic policy uncertainty and environmental governance company volatility: Evidence from China," Research in International Business and Finance, Elsevier, vol. 64(C).
    27. Ouyang, Minhua & Xiao, Hailian, 2024. "Tail risk spillovers among Chinese stock market sectors," Finance Research Letters, Elsevier, vol. 62(PB).
    28. Nekhili, Ramzi & Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2024. "Dynamic spillover and connectedness in higher moments of European stock sector markets," Research in International Business and Finance, Elsevier, vol. 68(C).
    29. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    30. Yao, Haixiang & Jiang, Xiaoqing, 2025. "The performance of industry risk spillover under extreme events: Evidence from the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 91(C).
    31. Wang, Bo & Xiao, Yang, 2023. "Risk spillovers from China's and the US stock markets during high-volatility periods: Evidence from East Asianstock markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
    32. Leon, Angel & Rubio, Gonzalo & Serna, Gregorio, 2005. "Autoregresive conditional volatility, skewness and kurtosis," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 599-618, September.
    33. Wang, Yiding & Zhao, Xiaojun & Shang, Junyan, 2025. "Dynamic risk spillover in green financial markets: A wavelet frequency analysis from China," Energy Economics, Elsevier, vol. 143(C).
    34. Koop, Gary & Korobilis, Dimitris, 2013. "Large time-varying parameter VARs," Journal of Econometrics, Elsevier, vol. 177(2), pages 185-198.
    35. Julián Andrada-Félix & Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2023. "Financial market analogies of the COVID-19 pandemic: evidence from the Dow Jones Industrial Average Index," Applied Economics Letters, Taylor & Francis Journals, vol. 30(17), pages 2364-2369, October.
    36. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    37. Bouri, Elie, 2023. "Spillovers in the joint system of conditional higher-order moments: US evidence from green energy, brown energy, and technology stocks," Renewable Energy, Elsevier, vol. 210(C), pages 507-523.
    38. Mufaddal Baxamusa & Sunil Mohanty & Ramesh P. Rao, 2015. "Information Asymmetry about Investment Risk and Financing Choice," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 42(7-8), pages 947-964, September.
    39. Assaf, Ata & Charif, Husni & Mokni, Khaled, 2021. "Dynamic connectedness between uncertainty and energy markets: Do investor sentiments matter?," Resources Policy, Elsevier, vol. 72(C).
    40. Bouri, Elie & Lei, Xiaojie & Xu, Yahua & Zhang, Hongwei, 2023. "Connectedness in implied higher-order moments of precious metals and energy markets," Energy, Elsevier, vol. 263(PB).
    41. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    42. Luo, Changqing & Qu, Yi & Su, Yaya & Dong, Liang, 2024. "Risk spillover from international crude oil markets to China’s financial markets: Evidence from extreme events and U.S. monetary policy," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    43. Han, Chunmao & Shi, Yongdong, 2022. "Chinese stock anomalies and investor sentiment," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    44. Shen, Junyan & Yu, Jianfeng & Zhao, Shen, 2017. "Investor sentiment and economic forces," Journal of Monetary Economics, Elsevier, vol. 86(C), pages 1-21.
    45. Tang, Pan & Xu, Wei & Wang, Haosen, 2024. "Network-Based prediction of financial cross-sector risk spillover in China: A deep learning approach," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    46. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    47. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    48. Zhu, Pengfei & Tang, Yong & Wei, Yu & Dai, Yimin & Lu, Tuantuan, 2021. "Relationships and portfolios between oil and Chinese stock sectors: A study based on wavelet denoising-higher moments perspective," Energy, Elsevier, vol. 217(C).
    49. Chen, Zhonglu & Zhang, Li & Weng, Chen, 2023. "Does climate policy uncertainty affect Chinese stock market volatility?," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 369-381.
    50. Zhu, Pengfei & Lu, Tuantuan & Chen, Shenglan, 2022. "How do crude oil futures hedge crude oil spot risk after the COVID-19 outbreak? A wavelet denoising-GARCHSK-SJC Copula hedge ratio estimation method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    51. Wenjie Ding & Khelifa Mazouz & Qingwei Wang, 2019. "Investor sentiment and the cross-section of stock returns: new theory and evidence," Review of Quantitative Finance and Accounting, Springer, vol. 53(2), pages 493-525, August.
    52. Yuqin Zhou & Shan Wu & Zhenhua Liu & Lavinia Rognone, 2023. "The asymmetric effects of climate risk on higher-moment connectedness among carbon, energy and metals markets," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    53. Wang, Jie & Xue, Weina & Song, Jiashan, 2022. "Economic policy uncertainty and industry risk on China’s stock market," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    54. Nekhili, Ramzi & Bouri, Elie, 2023. "Higher-order moments and co-moments' contribution to spillover analysis and portfolio risk management," Energy Economics, Elsevier, vol. 119(C).
    55. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    56. Stiassny, Alfred, 1996. "A Spectral Decomposition for Structural VAR Models," Empirical Economics, Springer, vol. 21(4), pages 535-555.
    57. Xiao, Jihong & Jiang, Jiajie & Zhang, Yaojie, 2024. "Policy uncertainty, investor sentiment, and good and bad volatilities in the stock market: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    58. Hanif, Waqas & Mensi, Walid & Gubareva, Mariya & Teplova, Tamara, 2023. "Impacts of COVID-19 on dynamic return and volatility spillovers between rare earth metals and renewable energy stock markets," Resources Policy, Elsevier, vol. 80(C).
    59. Morales, Lucía & Andreosso-O'Callaghan, Bernadette, 2014. "The global financial crisis: World market or regional contagion effects?," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 108-131.
    60. Wu, Xinyu & Jiang, Zhengting, 2023. "Time-varying asymmetric volatility spillovers among China’s carbon markets, new energy market and stock market under the shocks of major events," Energy Economics, Elsevier, vol. 126(C).
    61. Xiao-Li Gong & Zhi-Qiang Du, 2020. "Institutional Investor Information Sharing, Stock Market Extreme Risk, and Financial Systemic Risk," Complexity, Hindawi, vol. 2020, pages 1-10, April.
    62. Amaya, Diego & Christoffersen, Peter & Jacobs, Kris & Vasquez, Aurelio, 2015. "Does realized skewness predict the cross-section of equity returns?," Journal of Financial Economics, Elsevier, vol. 118(1), pages 135-167.
    63. Si, Deng-Kui & Zhao, Bing & Li, Xiao-Lin & Ding, Hui, 2021. "Policy uncertainty and sectoral stock market volatility in China," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 557-573.
    64. Panpan Zhu & Qingjie Zhou & Yinpeng Zhang, 2024. "Investor attention and consumer price index inflation rate: Evidence from the United States," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    65. Gerson de Souza Raimundo Júnior & Rafael Baptista Palazzi & Ricardo de Souza Tavares & Marcelo Cabus Klotzle, 2022. "Market Stress and Herding: A New Approach to the Cryptocurrency Market," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(1), pages 43-57, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhou, Donghai & Liu, Xiaoxing & Tang, Chun, 2024. "Does the international oil market interact with China’s financial market? New evidence from time-varying higher moments," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    2. Ouyang, Minhua & Xiao, Hailian, 2024. "Tail risk spillovers among Chinese stock market sectors," Finance Research Letters, Elsevier, vol. 62(PB).
    3. Alomari, Mohammed & Selmi, Refk & Mensi, Walid & Ko, Hee-Un & Kang, Sang Hoon, 2024. "Dynamic spillovers in higher moments and jumps across ETFs and economic and financial uncertainty factors in the context of successive shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 210-228.
    4. Jinxin Cui & Aktham Maghyereh & Salem Ziadat, 2025. "Crude oil, forex, and stock markets: unveiling the higher-order moment and cross-moment risk spillovers in times of turmoil," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-21, December.
    5. Wang, Yu & Cheung, Adrian Wai Kong & Yan, Wan-Lin & Wang, Bin, 2025. "Connectedness of China’s green bond and green stock markets at the low- and high-order moments: The role of economic and climate policy uncertainty," The North American Journal of Economics and Finance, Elsevier, vol. 78(C).
    6. Chen, Bin-xia & Sun, Yan-lin, 2024. "Risk characteristics and connectedness in cryptocurrency markets: New evidence from a non-linear framework," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    7. Su, Xianfang & Zhao, Yachao, 2025. "Asymmetric time-frequency risk spillovers between the Fourth Industrial Revolution assets and commodity futures: Is economic policy uncertainty a driving factor?," Global Finance Journal, Elsevier, vol. 64(C).
    8. Zhang, Yunhan & Gabauer, David & Gupta, Rangan & Ji, Qiang, 2024. "How connected is the oil-bank network? Firm-level and high-frequency evidence," Energy Economics, Elsevier, vol. 136(C).
    9. Yi, Qing & Jiang, Yuanying, 2025. "Time-frequency spillovers between carbon, fossil fuels, and clean energy markets: New insights from the TVP-VAR framework," Energy, Elsevier, vol. 323(C).
    10. He, Xie & Hamori, Shigeyuki, 2024. "Asymmetric Higher-Moment spillovers between sustainable and traditional investments," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 97(C).
    11. Cui, Jinxin & Alshater, Muneer M. & Mensi, Walid, 2023. "Higher-order moment risk spillovers and optimal portfolio strategies in global oil markets," Resources Policy, Elsevier, vol. 86(PA).
    12. Cui, Jinxin & Maghyereh, Aktham & Liao, Dijia, 2024. "Risk connectedness between international oil and stock markets during the COVID-19 pandemic and the Russia-Ukraine conflict: Fresh evidence from the higher-order moments," International Review of Economics & Finance, Elsevier, vol. 95(C).
    13. Jun Long & Xianghui Yuan & Liwei Jin & Chencheng Zhao, 2024. "Connectedness and risk spillover in China's commodity futures sectors," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 784-802, May.
    14. Jinxin Cui & Elie Bouri, 2026. "Jumps and higher-order moments of crude oil and stock sectors in China: new insights from timescales connectedness," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 12(1), pages 1-48, December.
    15. Foglia, Matteo & Plakandaras, Vasilios & Gupta, Rangan & Bouri, Elie, 2025. "Rare disasters and multilayer spillovers between volatility and skewness in international stock markets over a century of data: The role of geopolitical risk," International Review of Economics & Finance, Elsevier, vol. 101(C).
    16. Yun-Shi Dai & Peng-Fei Dai & St'ephane Goutte & Duc Khuong Nguyen & Wei-Xing Zhou, 2025. "Moment connectedness and driving factors in the energy-food nexus: A time-frequency perspective," Papers 2510.24174, arXiv.org.
    17. Matteo Foglia & Vasilios Plakandaras & Rangan Gupta & Elie Bouri, 2023. "Multi-Layer Spillovers between Volatility and Skewness in International Stock Markets Over a Century of Data: The Role of Disaster Risks," Working Papers 202337, University of Pretoria, Department of Economics.
    18. Mensi, Walid & Ko, Hee-Un & Sensoy, Ahmet & Kang, Sang Hoon, 2024. "Higher-order moment connectedness between stock and commodity markets and portfolio management," Resources Policy, Elsevier, vol. 89(C).
    19. Dang, Tam Hoang Nhat & Balli, Faruk & Balli, Hatice Ozer & Gabauer, David & Nguyen, Thi Thu Ha, 2024. "Sectoral uncertainty spillovers in emerging markets: A quantile time–frequency connectedness approach," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 121-139.
    20. Gao, Wang & Wei, Jiajia & Zhang, Hongwei & Zhang, Haizhen, 2024. "The higher-order moments connectedness between rare earth and clean energy markets and the role of geopolitical risk:New insights from a TVP-VAR framework," Energy, Elsevier, vol. 305(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecanpo:v:87:y:2025:i:c:p:831-859. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/economic-analysis-and-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.