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Xiaoqian Zhu
Chinese Academy of Sciences
33Publications
7H-index
148Citations
Publications 33
Newest
Lu Wei2
Estimated H-index: 2
(CAS: Chinese Academy of Sciences),
Guowen Li2
Estimated H-index: 2
(CAS: Chinese Academy of Sciences)
+ 1 AuthorsXiaoqian Zhu7
Estimated H-index: 7
(CAS: Chinese Academy of Sciences)
Abstract Approaches based on financial statements are important to the field of bank risk aggregation. However, previous studies only used numerical data recorded in financial statements to aggregate bank risk. Time lags in numerical data can bias risk aggregation results. Thus, this paper first incorporates forward-looking textual risk disclosures reported in financial statements into bank risk aggregation. In doing so, we overcome the drawback of risk aggregation resulting from using only hist...
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Published on May 1, 2019in Energy Economics 4.15
Lu Wei2
Estimated H-index: 2
(CAS: Chinese Academy of Sciences),
Guowen Li2
Estimated H-index: 2
(CAS: Chinese Academy of Sciences)
+ 2 AuthorsJianping LiXiaolei19
Estimated H-index: 19
(CAS: Chinese Academy of Sciences)
Abstract Selecting risk factors is essential for measuring energy corporate risk. However, the comprehensive identification of energy corporate risk factors is still a difficult issue. This paper innovatively uses the text mining approach to comprehensively identify energy corporate risk factors from textual risk disclosures reported in financial statements. Based on 131,755 risk factor headings from 3707 Form 10-K filings from 840 U.S. energy corporations over the period 2010–2016, 66 types of ...
7 Citations Source Cite
Published on Mar 22, 2019in Electronic Commerce Research 1.94
Jianping LiXiaolei19
Estimated H-index: 19
(CAS: Chinese Academy of Sciences),
Yinhong Yao (CAS: Chinese Academy of Sciences)+ 3 AuthorsXiaoqian Zhu7
Estimated H-index: 7
(CAS: Chinese Academy of Sciences)
Understanding consumer’s risk perception on the Belt and Road (B&R) countries is important for the development of cross-border e-commerce (CBEC) along these countries. However, most of the extant studies cannot properly analyze consumer’s risk perception due to the limited data collected by questionnaires. Therefore, this study proposes a text-mining-based framework to study consumer’s risk perception on the B&R countries based on massive textual online reviews collected from CBEC. In the propos...
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Xiaoqian Zhu7
Estimated H-index: 7
(CAS: Chinese Academy of Sciences),
Jianping LiXiaolei19
Estimated H-index: 19
(CAS: Chinese Academy of Sciences),
Dengsheng Wu10
Estimated H-index: 10
(CAS: Chinese Academy of Sciences)
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Published on Feb 19, 2019in Accounting and Finance 1.48
Lu Wei2
Estimated H-index: 2
(CAS: Chinese Academy of Sciences),
Guowen Li2
Estimated H-index: 2
(CAS: Chinese Academy of Sciences)
+ 1 AuthorsJianping LiXiaolei19
Estimated H-index: 19
(CAS: Chinese Academy of Sciences)
4 Citations Source Cite
Dengsheng Wu10
Estimated H-index: 10
(CAS: Chinese Academy of Sciences),
Xiaoqian Zhu7
Estimated H-index: 7
(CAS: Chinese Academy of Sciences)
+ 2 AuthorsJianping LiXiaolei19
Estimated H-index: 19
(CAS: Chinese Academy of Sciences)
Studies on software risk response theories and methods play an important role in improving the success rate of software project. With the requirement of software risk management, the existing single-objective risk response strategies section model is difficult to manage software risks effectively. This paper regards software risk response cost and software risk exposure as optimization objectives and proposes a multiobjective risk response strategies optimization model for software project. Furt...
2 Citations Source Cite
Published on Jan 1, 2019in Journal of Operational Risk 0.73
Xiaoqian Zhu7
Estimated H-index: 7
,
Yinghui Wang1
Estimated H-index: 1
,
Jianping LiXiaolei19
Estimated H-index: 19
1 Citations Source Cite
Published on Sep 1, 2018in Annals of Data Science
Lu Wei2
Estimated H-index: 2
(CAS: Chinese Academy of Sciences),
Jianping LiXiaolei19
Estimated H-index: 19
(CAS: Chinese Academy of Sciences),
Xiaoqian Zhu7
Estimated H-index: 7
(CAS: Chinese Academy of Sciences)
This paper is the first to provide a comprehensive overview of the worldwide operational loss data collection exercises (LDCEs) of internal loss, external loss, scenario analysis and business environment and internal control factors (BEICFs). Based on analyzing operational risk-related articles from 2002 to March 2017 and surveying a large amount of other information, various sources of operational risk data are classified into five types, i.e. individual banks, regulatory authorities, consortia...
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Jianping LiXiaolei19
Estimated H-index: 19
(CAS: Chinese Academy of Sciences),
Lu Wei2
Estimated H-index: 2
(CAS: Chinese Academy of Sciences)
+ 2 AuthorsDengsheng Wu10
Estimated H-index: 10
(CAS: Chinese Academy of Sciences)
Abstract One of the major challenges involved in risk aggregation is the lack of risk data. Recently, researchers have found that mapping financial statements into risk types is a satisfactory way to resolve the problem of data shortage and inconsistency. Nevertheless, ignoring off-balance sheet (OBS) items has so far been regarded as the usual practice in risk aggregation, which may lead to deviations in conclusions. Hence, we improve the financial statements based risk aggregation framework by...
3 Citations Source Cite
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