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Intell. Syst. Account. Finance Manag.最新文献

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Increasing the utility of performance audit reports: Using textual analytics tools to improve government reporting 提高绩效审计报告的效用:使用文本分析工具改进政府报告
Intell. Syst. Account. Finance Manag. Pub Date : 2022-12-07 DOI: 10.2139/ssrn.3707887
H. Duan, Hanxin Hu, Yangin (Ben) Yoon, M. Vasarhelyi
{"title":"Increasing the utility of performance audit reports: Using textual analytics tools to improve government reporting","authors":"H. Duan, Hanxin Hu, Yangin (Ben) Yoon, M. Vasarhelyi","doi":"10.2139/ssrn.3707887","DOIUrl":"https://doi.org/10.2139/ssrn.3707887","url":null,"abstract":"","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"699 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127777917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH-LSTM based Approach 预测商品市场收益波动:一种基于GARCH-LSTM的混合集成学习方法
Intell. Syst. Account. Finance Manag. Pub Date : 2022-05-31 DOI: 10.2139/ssrn.3992382
K. Kakade, A. Mishra, Kshitish Ghate, Shivang Gupta
{"title":"Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH-LSTM based Approach","authors":"K. Kakade, A. Mishra, Kshitish Ghate, Shivang Gupta","doi":"10.2139/ssrn.3992382","DOIUrl":"https://doi.org/10.2139/ssrn.3992382","url":null,"abstract":"","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134480541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Corporate governance performance ratings with machine learning 利用机器学习进行公司治理绩效评级
Intell. Syst. Account. Finance Manag. Pub Date : 2022-03-18 DOI: 10.1002/isaf.1505
Jan Svanberg, Tohid Ardeshiri, Isak Samsten, Peter Öhman, P. Neidermeyer, Tarek Rana, N. Semenova, M. Danielson
{"title":"Corporate governance performance ratings with machine learning","authors":"Jan Svanberg, Tohid Ardeshiri, Isak Samsten, Peter Öhman, P. Neidermeyer, Tarek Rana, N. Semenova, M. Danielson","doi":"10.1002/isaf.1505","DOIUrl":"https://doi.org/10.1002/isaf.1505","url":null,"abstract":"We use machine learning with a cross-sectional research design to predict governance controversies and to develop a measure of the governance component of the environmental, social, governance (ESG) metrics. Based on comprehensive governance data from 2,517 companies over a period of 10 years and investigating nine machine-learning algorithms, we find that governance controversies can be predicted with high predictive performance. Our proposed governance rating methodology has two unique advantages compared with traditional ESG ratings: it rates companies' compliance with governance responsibilities and it has predictive validity. Our study demonstrates a solution to what is likely the greatest challenge for the finance industry today: how to assess a company's sustainability with validity and accuracy. Prior to this study, the ESG rating industry and the literature have not provided evidence that widely adopted governance ratings are valid. This study describes the only methodology for developing governance performance ratings based on companies' compliance with governance responsibilities and for which there is evidence of predictive validity.","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"119400686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Machine learning for financial transaction classification across companies using character-level word embeddings of text fields 使用文本字段字符级单词嵌入的跨公司金融交易分类机器学习
Intell. Syst. Account. Finance Manag. Pub Date : 2021-09-06 DOI: 10.1002/isaf.1500
R. Jørgensen, C. Igel
{"title":"Machine learning for financial transaction classification across companies using character-level word embeddings of text fields","authors":"R. Jørgensen, C. Igel","doi":"10.1002/isaf.1500","DOIUrl":"https://doi.org/10.1002/isaf.1500","url":null,"abstract":"","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126772690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Strategic analysis of providing corporate sustainability open data 提供企业可持续发展开放数据的战略分析
Intell. Syst. Account. Finance Manag. Pub Date : 2021-07-01 DOI: 10.1002/isaf.1501
Raphaela Helbig, Sven von Höveling, A. Solsbach, J. Gómez
{"title":"Strategic analysis of providing corporate sustainability open data","authors":"Raphaela Helbig, Sven von Höveling, A. Solsbach, J. Gómez","doi":"10.1002/isaf.1501","DOIUrl":"https://doi.org/10.1002/isaf.1501","url":null,"abstract":"","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115612637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Enterprise knowledge graphs with applications to continuous monitoring systems 企业知识图谱与连续监控系统的应用
Intell. Syst. Account. Finance Manag. Pub Date : 2021-03-11 DOI: 10.1002/ISAF.1491
D. O’Leary
{"title":"Enterprise knowledge graphs with applications to continuous monitoring systems","authors":"D. O’Leary","doi":"10.1002/ISAF.1491","DOIUrl":"https://doi.org/10.1002/ISAF.1491","url":null,"abstract":"","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121155384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Forecasting spot prices of agricultural commodities in India: Application of deep-learning models 印度农产品现货价格预测:深度学习模型的应用
Intell. Syst. Account. Finance Manag. Pub Date : 2021-01-28 DOI: 10.1002/ISAF.1487
L. ManognaR., A. Mishra
{"title":"Forecasting spot prices of agricultural commodities in India: Application of deep-learning models","authors":"L. ManognaR., A. Mishra","doi":"10.1002/ISAF.1487","DOIUrl":"https://doi.org/10.1002/ISAF.1487","url":null,"abstract":"","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116097370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 25
Biogeography based optimization for mining rules to assess credit risk 基于生物地理学的信用风险评估规则挖掘优化
Intell. Syst. Account. Finance Manag. Pub Date : 2021-01-09 DOI: 10.1002/ISAF.1486
P. Giri, Sagar S. De, S. Dehuri, Sung-Bae Cho
{"title":"Biogeography based optimization for mining rules to assess credit risk","authors":"P. Giri, Sagar S. De, S. Dehuri, Sung-Bae Cho","doi":"10.1002/ISAF.1486","DOIUrl":"https://doi.org/10.1002/ISAF.1486","url":null,"abstract":"","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127913057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Impact of corporate performance on stock price predictions in the UAE markets: Neuro-fuzzy model 公司业绩对阿联酋市场股价预测的影响:神经模糊模型
Intell. Syst. Account. Finance Manag. Pub Date : 2021-01-01 DOI: 10.1002/ISAF.1484
E. Mohamed, I. Ahmed, Riyadh A. K. Mehdi, Hanan Hussain
{"title":"Impact of corporate performance on stock price predictions in the UAE markets: Neuro-fuzzy model","authors":"E. Mohamed, I. Ahmed, Riyadh A. K. Mehdi, Hanan Hussain","doi":"10.1002/ISAF.1484","DOIUrl":"https://doi.org/10.1002/ISAF.1484","url":null,"abstract":"","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130931311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Cryptocurrency price prediction using traditional statistical and machine-learning techniques: A survey 使用传统统计和机器学习技术预测加密货币价格:一项调查
Intell. Syst. Account. Finance Manag. Pub Date : 2021-01-01 DOI: 10.1002/ISAF.1488
A. Khedr, Ifra Arif, P. Raj, M. Bannany, S. Alhashmi, M. Sreedharan
{"title":"Cryptocurrency price prediction using traditional statistical and machine-learning techniques: A survey","authors":"A. Khedr, Ifra Arif, P. Raj, M. Bannany, S. Alhashmi, M. Sreedharan","doi":"10.1002/ISAF.1488","DOIUrl":"https://doi.org/10.1002/ISAF.1488","url":null,"abstract":"","PeriodicalId":153549,"journal":{"name":"Intell. Syst. Account. Finance Manag.","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132291470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 54
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