academic engagement (representative) |
publications |
[1] dayong dong, giray gozgor, zhou lu, et al. personal consumption in the united states during the covid-19 crisis. applied economics, 2021, 53(11): 1311-1316. [2] hua wang, dayong dong, zhenzhong guan, et al. the impact of quantity commitment with disappointment-averse and elation-seeking consumers. physica a: statistical mechanics and its applications, 2021, 584: 126362. [3] hua wang, zhenzhong guan, dayong dong, et al. optimal pricing strategy with disappointment‐aversion and elation‐seeking consumers: compared to price commitment. international transactions in operational research, 2021, 28(5): 2810-2840. [4] keyan liu, jianan zhou, dayong dong. improving stock price prediction using the long short-term memory model combined with online social networks. journal of behavioral and experimental finance, 2021, 30: 100507. [5] yang mo, yue si shi, dong dayong. do institutional investors maintain knowledge-action unity in practice? evidence from fund companies. research in financial economics, 2021, 36(04): 111-125. [6] yue sishi, dong dayong. can survey information of listed companies predict the changes in the company's future performance? a study based on the financial information data in disclosed surveys. research in financial economics, 2021, 36(01): 122-135. [7] dayong dong, sishi yue, jiawei cao. site visit information content and return predictability: evidence from china. the north american journal of economics and finance, 2020, 51: 101104. [8] keke wu, yan yu, dayong dong. does advertising really work? the direct stimulating and attention-grabbing effects of advertising on investor behavior. international journal of accounting&information management, 2020, 28(3). [9] dong dayong, yu rui. research on the impact of investors' attention on the market effect of goodwill impairment announcement. industrial technology and economics, 2020, 39(06): 111-116. [10] dayong dong, keke wu. investor attention is a risk pricing factor? evidence from chinese investors for self-selected stocks. china finance review international, 2019, 10(1). [11] qian hao, dayong dong, keke wu. online investment forum and the market response around earnings announcement in the chinese stock markets. international journal of accounting&information management, 2019, 27(4): 615-631. [12] dong dayong, cao jiawei. the experience and reference of zhejiang online technology market——based on the analysis of online transaction data. contemporary economy, 2019, (06): 14-18. [13] dong dayong, fan ziying, li xusheng. "forgetting effect" in the impact of forecast on official financial report market. shanghai finance, 2019, (01): 24-30. [14] yan yuwei, dong dayong. research progress and review of shanghai r&d public service platform. northern economic and trade, 2019, (09): 31-34. [15] yue sishi, fan ziying, dong dayong. the research on factors influencing site visit information disclosure quality of listed companies——based on the evidence of site visit information disclosure in a share market. economic system reform, 2019, (05): 113-120. [16] dong dayong, wu keke. the impact of investor attention distribution on asset pricing: eyeball effect and exposure effect. systems engineering, 2018, 36(09): 51-58. [17] wang hua, dong dayong, guan zhenzhong, et al. the impact of joint decision-making on supply chain performance in the presence of strategic consumers. systems engineering, 2017, 35(08): 134-144. [18] yi hongbo, cai yuye, dong dayong. the research on construction and effect of stock market investor sentiment index in china. price theory and practice, 2017, (10): 130-133. [19] yao zheng, dayong dong, hongquan zhu. does heterogeneous sentiment influence on stock market herding: evidence from internet stock community. system engineer, 2016, 34(9): 9-14. [20] yao zheng, dayong dong, hongquan zhu. does internet communication of stock information weak the stock market herding? an analysis in chinese markets? management review, 2015, 6: 52-61. [21] hongbo yi, juanjuan lai, dayong dong. influence of network forum different investor sentiment on the trading market: an empirical study based on var model analysis. financial essays, 2015, 1: 80-88. |
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