Global Business Review最新文献_第4页

Can Machine Learning Outperform the Market? Testing the Weak-form Efficiency Hypothesis of the Indian Stock Market Using Support Vector Machines 机器学习能否跑赢市场？使用支持向量机测试印度股市的弱式效率假说

Global Business Review Pub Date : 2023-11-21 DOI: 10.1177/09721509231204137

Robin Thomas

{"title":"Can Machine Learning Outperform the Market? Testing the Weak-form Efficiency Hypothesis of the Indian Stock Market Using Support Vector Machines","authors":"Robin Thomas","doi":"10.1177/09721509231204137","DOIUrl":"https://doi.org/10.1177/09721509231204137","url":null,"abstract":"This article examines the validity of the weak form of the efficient market hypothesis (EMH) in the context of the Nifty stock market index by applying a support vector machine (SVM) model. The aim is to forecast future stock prices using historical data and to evaluate the performance of the SVM model based on accuracy, precision, recall and the area under the receiver operating characteristic (ROC) curve (AUC). The findings offer important implications for the efficiency of the Nifty market and its consequences for investors. The EMH posits that stock prices incorporate all available information, making it impossible to consistently beat the market using historical data. This article tests this proposition by using an SVM model to forecast future stock prices using historical data. The methodology consists of applying the SVM algorithm on historical data of the Nifty stock market index. Performance measures, such as accuracy, precision, recall and AUC, are used to assess the effectiveness of the SVM model. The results show an accuracy of 63.25% in forecasting stock prices, indicating a substantial agreement between predicted and actual labels. The precision score of the model is 97.97%, indicating a high proportion of correctly predicted positive instances. However, the recall score is relatively low at 34.36%, suggesting that some actual positive instances were overlooked. The ROC curve visually illustrates the trade-off between true positive rate and false positive rate for different classification thresholds. This article contributes to the literature on market efficiency by applying a novel SVM model to forecast future stock prices of the Nifty index and finding that the model outperforms random chance, thus challenging the weak form of the EMH.","PeriodicalId":503988,"journal":{"name":"Global Business Review","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139251773","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

A PLS-SEM Approach to Investigate the Effect of Satisfaction on Willingness to Recommend M-wallet Services 采用 PLS-SEM 方法研究满意度对推荐 M-钱包服务意愿的影响

Global Business Review Pub Date : 2023-11-16 DOI: 10.1177/09721509231202315

Subhajit Bhattacharya, Sasadhar Bera

{"title":"A PLS-SEM Approach to Investigate the Effect of Satisfaction on Willingness to Recommend M-wallet Services","authors":"Subhajit Bhattacharya, Sasadhar Bera","doi":"10.1177/09721509231202315","DOIUrl":"https://doi.org/10.1177/09721509231202315","url":null,"abstract":"Mobile wallets (m-wallets), a particular form of mobile payment system, are gaining considerable attention in different emerging markets. This study uses the stimulus-organism-response model to understand how user recommendation depends on intention to use and satisfaction in the m-wallet payment system at the post-adoption stage in emerging markets. This research also investigates the mediating role of satisfaction between intention to use and recommendation. Online convenience and snowball sampling yielded 474 valid responses. This research applied the partial least squares-structural equation modelling approach to determine the relationship among the latent variables, model parameters estimation and mediation analysis. The results show that significant stimuli, namely brand awareness, perceived quality, compatibility and functional congruity, influence the intention to use m-wallets and users’ satisfaction. The analysis explains that improving the intention to use is insufficient to control the willingness to recommend because users’ satisfaction partially mediates between intention to use and willingness to recommend. Our study contributes to m-wallet users’ propensity to refer to the emerging market’s context. This study explains how customer satisfaction affects m-wallet users’ willingness and intention to make a recommendation at the post-adoption stage.","PeriodicalId":503988,"journal":{"name":"Global Business Review","volume":"11 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139268584","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

Patterns of Innovation and Firms’ Efficiency in Case of Indian Manufacturing Sector 印度制造业的创新模式与企业效率

Global Business Review Pub Date : 2023-11-16 DOI: 10.1177/09721509231195411

B. N. Rath, Poulomi Bhattacharya

引用次数: 0

Understanding the Adoption of Traditional (2D) and Virtual Reality (3D) Online Grocery Store in India:An Exploratory Study 了解印度对传统（2D）和虚拟现实（3D）网上杂货店的采用情况：一项探索性研究

Global Business Review Pub Date : 2023-11-16 DOI: 10.1177/09721509231202002

P. Vishwakarma, S. Mukherjee, Biplab Datta, Charu Sijoria

引用次数: 0