Intelligent Systems in Accounting, Finance and Management最新文献_第8页

Some issues in blockchain for accounting and the supply chain, with an application of distributed databases to virtual organizations† 区块链在会计和供应链中的一些问题，以及分布式数据库在虚拟组织中的应用

Intelligent Systems in Accounting, Finance and Management Pub Date : 2019-11-15 DOI: 10.1002/isaf.1457

Daniel E. O'Leary

引用次数: 27

Co-evolved genetic programs for stock market trading 共同进化的股票市场交易基因程序

Intelligent Systems in Accounting, Finance and Management Pub Date : 2019-11-15 DOI: 10.1002/isaf.1458

Jason F. Nicholls, Andries P. Engelbrecht

{"title":"Co-evolved genetic programs for stock market trading","authors":"Jason F. Nicholls, Andries P. Engelbrecht","doi":"10.1002/isaf.1458","DOIUrl":"10.1002/isaf.1458","url":null,"abstract":"<div>\u0000 \u0000 <p>The profitability of trading rules evolved by three different optimised genetic programs, namely a single population genetic program (GP), a co-operative co-evolved GP, and a competitive co-evolved GP is compared. Profitability is determined by trading thirteen listed shares on the Johannesburg Stock Exchange (JSE) over a period of April 2003 to June 2008. An empirical study presented here shows that GPs can generate profitable trading rules across a variety of industries and market conditions. The results show that the co-operative co-evolved GP generates trading rules perform significantly worse than a single population GP and a competitively co-evolved GP. The results also show that a competitive co-evolved GP and the single population GP produce similar trading rules. The profits returned by the evolved trading rules are compared to the profit returned by the buy-and-hold trading strategy. The evolved trading rules significantly outperform the buy-and-hold strategy when the market trends downwards. No significant difference is identified among the buy-and-hold strategy, the competitive co-evolved GP, and single population GP when the market trends upwards.</p>\u0000 </div>","PeriodicalId":53473,"journal":{"name":"Intelligent Systems in Accounting, Finance and Management","volume":"26 3","pages":"117-136"},"PeriodicalIF":0.0,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/isaf.1458","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115068287","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: 1

Exploring the predictability of range-based volatility estimators using recurrent neural networks 利用递归神经网络探索基于区间的波动估计器的可预测性

Intelligent Systems in Accounting, Finance and Management Pub Date : 2019-08-09 DOI: 10.1002/isaf.1455

Gábor Petneházi, József Gáll

引用次数: 6

GOOGLE'S Duplex: Pretending to be human* 谷歌的双面机器人:假装人类*

Intelligent Systems in Accounting, Finance and Management Pub Date : 2019-03-25 DOI: 10.1002/isaf.1443

Daniel E. O'Leary

引用次数: 26

Profitability of alternative methods of combining the signals from technical trading systems 结合技术交易系统信号的替代方法的盈利能力

Intelligent Systems in Accounting, Finance and Management Pub Date : 2019-03-08 DOI: 10.1002/isaf.1442

Jasdeep S. Banga, B. Wade Brorsen

引用次数: 9

Assessing qualitative similarities between financial reporting frameworks using visualization and rules: COREP vs. pillar 3 使用可视化和规则评估财务报告框架之间的质量相似性:COREP与支柱3

Intelligent Systems in Accounting, Finance and Management Pub Date : 2019-03-05 DOI: 10.1002/isaf.1441

Wenmei Yang, Adriano S. Koshiyama

引用次数: 3

Using Artificial Neural Networks to forecast Exchange Rate, including VAR-VECM residual analysis and prediction linear combination 利用人工神经网络对汇率进行预测，包括VAR-VECM残差分析和预测线性组合

Intelligent Systems in Accounting, Finance and Management Pub Date : 2019-01-29 DOI: 10.1002/isaf.1440

Alejandro Parot, Kevin Michell, Werner D. Kristjanpoller

{"title":"Using Artificial Neural Networks to forecast Exchange Rate, including VAR-VECM residual analysis and prediction linear combination","authors":"Alejandro Parot, Kevin Michell, Werner D. Kristjanpoller","doi":"10.1002/isaf.1440","DOIUrl":"10.1002/isaf.1440","url":null,"abstract":"<div>\u0000 \u0000 <p>The Euro US Dollar rate is one of the most important exchange rates in the world, making the analysis of its behavior fundamental for the global economy and for different decision-makers at both the public and private level. Furthermore, given the market efficiency of the EUR/USD exchange rate, being able to predict the rate's future short-term variation represents a great challenge. This study proposes a new framework to improve the forecasting accuracy of EUR/USD exchange rate returns through the use of an Artificial Neural Network (ANN) together with a Vector Auto Regressive (VAR) model, Vector Error Corrective model (VECM), and post-processing. The motivation lies in the integration of different approaches, which should improve the ability to forecast regarding each separate model. This is especially true given that Artificial Neural Networks are capable of capturing the short and long-term non-linear components of a time series, which VECM and VAR models are unable to do. Post-processing seeks to combine the best forecasts to make one that is better than its components. Model predictive capacity is compared according to the Root Mean Square Error (RMSE) as a loss function and its significance is analyzed using the Model Confidence Set. The results obtained show that the proposed framework outperforms the benchmark models, decreasing the RMSE of the best econometric model by 32.5% and by 19.3% the best hybrid. Thus, it is determined that forecast post-processing increases forecasting accuracy.</p>\u0000 </div>","PeriodicalId":53473,"journal":{"name":"Intelligent Systems in Accounting, Finance and Management","volume":"26 1","pages":"3-15"},"PeriodicalIF":0.0,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/isaf.1440","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114650306","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: 32

DNA Mining and genealogical information systems: Not just for finding family ethnicity DNA挖掘和家谱信息系统:不仅仅是为了寻找家族种族

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-12-16 DOI: 10.1002/isaf.1439

Daniel E. O'Leary

{"title":"DNA Mining and genealogical information systems: Not just for finding family ethnicity","authors":"Daniel E. O'Leary","doi":"10.1002/isaf.1439","DOIUrl":"10.1002/isaf.1439","url":null,"abstract":"<div>\u0000 \u0000 <p>The primary expected use of DNA and genealogy sites has been their ability to help users find their family, find their ethnicity and to help them connect with distant relatives. In so doing such sites help users to “learn more about themselves.” Such systems have also been proposed to have the broader goals of helping connect mankind and show people how their similarities are greater than their differences. However, the use of DNA and genealogy information recently turned away from just finding family connections, ethnicity and origins. Recently it was announced that the “Golden State Killer” had been caught using information generated from using DNA and consumer genealogical websites.</p>\u0000 <p>This paper investigates some of the questions and unanticipated consequences raised by this alternative use of these technologies and their impact on individuals, organizations and society. As part of that analysis we analyze some of the immediate consequences on the firm from which the DNA information was gathered, the new emerging approach used by law enforcement, some privacy concerns and provide a network game formulation as a means to model user behavior. Finally, we examine some potential emerging research issues.</p>\u0000 </div>","PeriodicalId":53473,"journal":{"name":"Intelligent Systems in Accounting, Finance and Management","volume":"25 4","pages":"190-196"},"PeriodicalIF":0.0,"publicationDate":"2018-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/isaf.1439","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134225584","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: 0

Open Information Enterprise Transactions: Business Intelligence and Wash and Spoof Transactions in Blockchain and Social Commerce 开放信息企业交易:区块链和社交商务中的商业智能和欺诈交易

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-09-04 DOI: 10.1002/isaf.1438

Daniel E. O'Leary

{"title":"Open Information Enterprise Transactions: Business Intelligence and Wash and Spoof Transactions in Blockchain and Social Commerce","authors":"Daniel E. O'Leary","doi":"10.1002/isaf.1438","DOIUrl":"10.1002/isaf.1438","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper investigates what are referred to as ‘open information transactions’. Such transactions are in contrast to traditional transactions, where typically two parties to a transaction are the only ones with information about the transaction. For example, in a sale, the seller and the purchaser typically are the only ones with information about the transaction. However, some emerging technologies, such as blockchain accounting, supply chain social media, and hashtag commerce are making information about the transactions potentially openly available to others. This paper investigates some of the implications and strategies that include the use of that open information. For example, open information in accounting and supply chain transactions provides the potential for both business intelligence analysis of the information and possibly misleading and illusory transactions, analogous to those that have garnered the recent attention of the Justice Department in cryptocurrencies. Finally, this paper suggests that blockchain transaction processing will provide reliable information in those settings where there is a “single truth” feed of information flow for the phenomena of interest, no ability to do off-blockchain transactions (or a large penalty cost) and limitation to a single identity for each enterprise on the blockchain.</p>\u0000 </div>","PeriodicalId":53473,"journal":{"name":"Intelligent Systems in Accounting, Finance and Management","volume":"25 3","pages":"148-158"},"PeriodicalIF":0.0,"publicationDate":"2018-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/isaf.1438","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127605571","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: 43

MIAC: A mobility intention auto-completion model for location prediction MIAC:一种用于位置预测的移动意图自动完成模型

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-08-13 DOI: 10.1002/isaf.1432

Feng Yi, Guan Feng, Hongtao Wang, Zhi Li, Limin Sun

{"title":"MIAC: A mobility intention auto-completion model for location prediction","authors":"Feng Yi, Guan Feng, Hongtao Wang, Zhi Li, Limin Sun","doi":"10.1002/isaf.1432","DOIUrl":"https://doi.org/10.1002/isaf.1432","url":null,"abstract":"<div>\u0000 \u0000 <p>Location prediction is essential to many commercial applications and enables appealing experience for business and governments. Many research work show that human mobility is highly predictable. However, existing work on location prediction reported limited improvements in using generalized spatio-temporal features and unsatisfactory prediction accuracy for complex human mobility. To address these challenges, in this paper we propose a <i>Mobility Intention and Auto-Completion</i> (MIAC) model. We extract those mobility patterns that generalize common spatio-temporal features of all users, and use the mobility intentions as the hidden states from mobility dataset. A new predicting algorithm based on auto-completion is then proposed. The experimental results on real-world datasets demonstrate that the proposed MIAC model can properly capture the regularity of a user's mobility by simultaneously considering the spatial and temporal features. The comparison results also indicate that MIAC model significantly outperforms state-of-the-art location prediction methods, and also can predicts long range locations.</p>\u0000 </div>","PeriodicalId":53473,"journal":{"name":"Intelligent Systems in Accounting, Finance and Management","volume":"25 4","pages":"161-173"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/isaf.1432","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137675346","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: 0