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《山东大学学报(理学版)》 ›› 2024, Vol. 59 ›› Issue (9): 79-87.doi: 10.6040/j.issn.1671-9352.0.2023.421

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基于上市公司风险披露数据的航空业风险源关联性与演化性分析

徐畅1,惠雨乔2,韩汶1*,曹梦迪1,钟振方2,孟庆春2   

  1. 1.山东省交通科学研究院, 山东 济南 250031;2.山东大学管理学院, 山东 济南 250100
  • 发布日期:2024-10-10
  • 通讯作者: 韩汶(1987— ),男,高级工程师,硕士研究生,研究方向为交通运输规划、交通政策研究. E-mail:hanwen@sdjtky.cn
  • 基金资助:
    基于一体化发展的山东省综合交通运输体制机制改革研究项目(2021B35);2021年度山东省交通运输厅科技计划项目

Analysis of correlation and evolutionary of risk sources in aviation industry based on risk disclosure data of listed companies

XU Chang1, HUI Yuqiao2, HAN Wen1*, CAO Mengdi1, ZHONG Zhenfang2, MENG Qingchun2   

  1. 1. Shandong Transportation Research Institute, Jinan 250031, Shandong, China;
    2. School of Management, Shandong University, Jinan 250100, Shandong, China
  • Published:2024-10-10

摘要: 根据潜在狄利克雷分配(latent Dirichlet allocation, LDA)得到的2005—2022年255家航空业上市公司的风险识别结果,分析了客运航空公司、机场服务公司和空运物流公司披露的风险源。研究结果显示:在风险关联方面,不同子行业内部的风险源存在一定的关联,这种关联与行业的业务属性密切相关,客运航空业与机场服务业之间的风险关联相对较高,表明二者存在共性风险或者相似的风险特征,词共现分析说明成本风险和经营风险与其他风险类型关联度最高;在风险演化方面,包括声誉风险在内的5类风险有所增加,而股票波动风险等其他3类风险则呈下降趋势,由指数平滑法预测出客运航空业和空运物流业未来的总风险都呈上升趋势,客运航空业的上升最快,机场服务业的则呈下降趋势。

关键词: 风险关联, 风险演化, 航空业, 文本挖掘

Abstract: This study analyzes the risk sources disclosed by passenger airlines, airport service companies and air logistics companies based on the risk identification results of 255 listed companies in the aviation industry from 2005 to 2022 obtained by LDA method. The results of the study show that: in terms of risk correlation, there is a certain inner correlation between the risk sources of different sub-industries, and this correlation is closely related to the business attributes of the industry, and the risk correlation between the passenger airline industry and the air transportation logistics industry is higher, which suggests that there is a common risk or a similar risk characteristic between, and the results obtained by word covariance indicate that cost risk and operational risk have the highest degree of correlation with the other types of risk; and in terms of risk evolution. The five types of risks, including reputation risk, have increased, while the other three types of risks, such as stock volatility risk, have shown a decreasing trend, and the exponential smoothing method predicts that the total risk size of the passenger aviation industry and the air logistics industry in the future are both showing an increasing trend, and the airport service industry has shown a decreasing trend while the passenger aviation industry has the fastest rising trend.

Key words: risk correlation, risk evolution, aviation industry, text mining

中图分类号: 

  • F506
[1] 田广明,韩毅,李原. 面向航空项目的风险识别技术研究[J]. 工业工程与管理, 2004(3):21-24. TIAN Guangming, HAN Yi, LI Yuan. Research on risk identification techniques for aviation projects[J]. Industrial Engineering and Management, 2004(3):21-24.
[2] 王妍. 基于强化财务风险管理的国企内部控制策略[J]. 中国集体经济, 2023(24):141-144. WANG Yan. Internal control strategy of state-owned enterprises based on strengthening financial risk management[J]. China Collective Economy, 2023(24):141-144.
[3] BAO Yang, DATTA A. Simultaneously discovering and quantifying risk types from textual risk disclosures[J]. Management Science, 2014, 60(6):1371-1391.
[4] HUANG Kewei, LI Zhuolun. A multilabel text classification algorithm for labeling risk factors in SEC form 10-K[J]. ACM Transactions on Management Information Systems(TMIS), 2011, 2(3):1-19.
[5] LI Jianping, FENG Yuyao, LI Guowen, et al. Tourism companies risk exposures on text disclosure[J]. Annals of Tourism Research, 2020, 84:102986.
[6] PENELA D, SERRASQUEIRO R M. Identification of risk factors in the hospitality industry: evidence from risk factor disclosure[J]. Tourism Management Perspectives, 2019, 32:100578.
[7] ZHU Xiaoqian, WANG Yinghui, LI Jianping. What drives reputational risk: evidence from textual risk disclosures in financial statements[J]. Humanities and Social Sciences Communications, 2022, 9(1):1-15.
[8] ZHOU Yusheng, WANG Xueqin, YUEN K F. Sustainability disclosure for container shipping: a text-mining approach[J]. Transport Policy, 2021, 110:465-477.
[9] CAMPBELL J, CHEN H, DHALIWAL D S, et al. The information content of mandatory risk factor disclosures in corporate filings[J]. Review of Accounting Studies, 2014, 19:396-455.
[10] CHOWDLURY S, ZHU Jin. Investigation of critical factors for future-proofed transportation infrastructure planning using topic modeling and association rule mining[J]. Journal of Computing in Civil Engineering, 2023, 37(1):04022044.
[11] WEI L, LI G, ZHU X, et al. Developing a hierarchical system for energy corporate risk factors based on textual risk disclosure[J]. Energy Economics, 2019, 80:452-460.
[12] LI Jianping, LI Guowen, ZHU Xiaoqian, et al. Identifying the influential factors of commodity futures prices through a new text mining approach[J]. Quantitative Finance, 2020, 20(12):1967-1981.
[13] ANG A, CHEN J. Asymmetric correlations of equity portfolios[J]. Journal of Financial Economics, 2002, 63:443-494.
[14] KENOURGIOS D, ARISTEIDIS SAMITAS A, PALTALIDIS N. Financial crises and stock market contagion in a multivariate time-varying asymmetric framework[J]. Journal of International Financial Markets, 2011, 21(1):92-106.
[15] BARUNIK J, KREHLIK T. Measuring the frequency dynamics of financial connectedness and systemic risk[J]. Journal of Financial Econometrics, 2018, 16:271-296.
[16] MENG Guowen, LI Zhongbo, LI Jingyu, et al. Drivers of risk correlation among financial institutions: a study based on a textual risk disclosure perspective[J]. Economic Modelling, 2023, 128:106468.
[17] ZHOU Wei, CHEN Yan, CHEN Jin. Risk spread in multiple energy markets: extreme volatility spillover network analysis before and during the COVID-19 pandemic[J]. Energy, 2022, 256:124580.
[18] ASGHARIAN H, NOSSMAN M. Risk contagion among international stock markets[J]. Journal of International Money Finance, 2011, 30(1):22-38.
[19] 党兴华,张晨. 基于STERGM的风险投资网络演化动力研究[J]. 科研管理, 2022, 43(5):182-190. DANG Xinghua, ZHANG Chen. A study of the evolutionary dynamics of venture capital networks based on STERGM[J]. Research Management, 2022, 43(5):182-190.
[20] 田新民,陈仁全,高菲. 共同冲击视角下全球股票市场关联性研究:基于时变广义动态因子模型的分析[J]. 国际金融研究, 2024(5):50-61 TIAN Xinmin, CHEN Renquan, GAO Fei. A study of global stock market correlations under the perspective of common shocks: an analysis based on a time-varying generalized dynamic factor model[J]. International Financial Studies, 2024(5):50-61.
[21] 黄蕾,李东. 航空客运市场的风险识别及管理策略研究[J]. 南昌航空大学学报(社会科学版), 2011, 13(2):9-15. HUANG Lei, LI Dong. Research on risk identification and management strategy of air passenger transportation market[J]. Journal of Nanchang University of Aeronautics and Astronautics(Social Science Edition), 2011, 13(2):9-15.
[22] 郑磊,池宏,邵雪焱. 基于QAR数据的飞行操作模式及其风险分析[J]. 中国管理科学, 2017, 25(10):109-118. ZHENG Lei, CHI Hong, SHAO Xueyan. Analysis of flight operation patterns and their risks based on QAR data[J]. Chinese Journal of Management Science, 2017, 25(10):109-118.
[23] HUI Yuqiao, MENG Qingchun, BAO Chunbing. Exploring risk exposures in the aviation sector by examining risk disclosure information from listed companies[J]. Procedia Computer Science, 2023, 221:518-525.
[24] 王洪德,于萌慧. 基于模糊ISM的铁路机务行车安全风险关联性分析[J]. 大连交通大学学报, 2023, 44(6):19-24. WANG Hongde, YU Menghui. Analysis of the correlation of safety risk of railroad engine operation based on fuzzy ISM[J]. Journal of Dalian Jiaotong University, 2023, 44(6):19-24.
[25] SONG Hao, CHEN Cai. A social network approach to software development risk correlation analysis[C] // Fifth International Conference on Business Intelligence and Financial Engineering. New York: IEEE, 2012.
[26] 杨雨桐,张利,杨玖. 基于指数平滑法的噪声污染预测及应用[J]. 资源节约与环保, 2024(3):74-78. YANG Yutong, ZHANG Li, YANG Jiu. Noise pollution prediction and application based on exponential smoothing method[J]. Resource Conservation and Environmental Protection, 2024(3):74-78.
[27] BLEI D M, JORDA M I. Variational inference for Dirichlet process mixtures[J]. Bayesian Analysis, 2006, 1(1):121-143.
[28] 王少鹏,彭岩,王洁. 基于LDA的文本聚类在网络舆情分析中的应用研究[J]. 山东大学学报(理学版), 2014, 49(9):129-134. WANG Shaopeng, PENG Yan, WANG Jie. Research on the application of text clustering based on LDA in online public opinion analysis[J]. Journal of Shandong University(Natural Science), 2014, 49(9):129-134.
[29] 余传明,左宇恒,郭亚静,等. 基于复合主题演化模型的作者研究兴趣动态发现[J]. 山东大学学报(理学版), 2018, 53(9):23-34. YU Chuanming, ZUO Yuheng, GUO Yajing, et al. Dynamic discovery of authors research interests based on composite topic evolution model[J]. Journal of Shandong University(Natural Science), 2018, 53(9):23-34.
[30] 李晓花. 航空公司客运收入管理动态定价与舱位控制的统一策略及其风险分析初探[D]. 成都: 四川大学, 2004. LI Xiaohua. A unified strategy of dynamic pricing and class control for airline passenger revenue management and its risk analysis[D]. Chendu: Sichuan University, 2004.
[31] 李敬,陈艳秋,何珮. 中国民航业安全风险监测与仿真研究[J]. 中国安全科学学报, 2009, 19(7):20-25. LI Jing, CHEN Yanqiu, HE Pei. Safety risk monitoring and simulation research in Chinas civil aviation industry[J]. China Journal of Safety Science, 2009, 19(7):20-25.
[32] 田利军. 中国航空运输业投资风险及应对策略[J]. 交通财会, 2014(12):18-23. TIAN Lijun. Investment risks and coping strategies in Chinas air transportation industry[J]. Transportation Finance and Accounting, 2014(12):18-23.
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