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The hungry energised allergic disease-ridden matrix for financial decision dilemmas of entrepreneurs 企业家财务决策困境的饥饿、活力、过敏、疾病缠身的矩阵
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijef.2022.122182
N. Sivasankaran, A. Kanagaraj, D. Israel, R. Prasad
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引用次数: 1
Analysing the impact of personal traits of credit assessors on credit risk assessment 分析了信用评估员的个人特征对信用风险评估的影响
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijef.2022.120351
Sandeep Kaur
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引用次数: 0
Determinants of user’s behavioral intention to use Blockchain technology in the Digital banking services 用户在数字银行服务中使用区块链技术的行为意向的决定因素
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijef.2022.10044201
N. C. Devi, Anitha Kumari
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引用次数: 0
The Hungry Energized Allergic Disease-Ridden (HEAD) Matrix for Financial Decision Dilemmas of Entrepreneurs 企业家财务决策困境的饥饿、能量、过敏、疾病(HEAD)矩阵
Q4 Economics, Econometrics and Finance Pub Date : 2022-01-01 DOI: 10.1504/ijef.2022.10044242
Israel Duraipandi, Kanagaraj Ayyalusamy, N. Sivasankaran, P. R
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引用次数: 0
Estimating bitcoin and traded asset classes volatility using GARCH model 使用GARCH模型估计比特币和交易资产类别的波动性
Q4 Economics, Econometrics and Finance Pub Date : 2021-06-11 DOI: 10.1504/IJEF.2021.10038657
Timcy Sachdeva
Bitcoin is the world's first cryptocurrency which has largest market capitalization. The study aims to analyze the risk measures for the bitcoin and comparing with tradable asset classes that include the Standard and Poor's BSE 500, USD, Euro, GBP and the Gold future prices. The study uses the GARCH models to identify the components of world economies that bitcoin is sensitive too as against variables that impact the global financial prudence. The empirical results of the study reveal that against dollar and euro exchange rates bitcoin returns are more sensitive. Bitcoin can be used together with gold to diversify or eliminate explicit market risks. The study presents reasonable justification over the development and relationship between bitcoin and different traded assets that pose new challenges before the global investors. The implication of this paper for the strategic policy makers shows the sensitivity among tradeable assets.
比特币是世界上第一种市值最大的加密货币。该研究旨在分析比特币的风险指标,并与包括标准普尔BSE 500、美元、欧元、英镑和黄金期货价格在内的可交易资产类别进行比较。该研究使用GARCH模型来确定比特币对影响全球金融审慎的变量也很敏感的世界经济组成部分。研究的实证结果表明,比特币对美元和欧元汇率的回报更为敏感。比特币可以与黄金一起使用,以分散或消除明显的市场风险。该研究为比特币与不同交易资产之间的发展和关系提供了合理的理由,这些资产给全球投资者带来了新的挑战。本文对战略决策者的启示表明了可交易资产之间的敏感性。
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引用次数: 0
A study of confirmation bias among online investors in virtual communities 虚拟社区中在线投资者的确认偏差研究
Q4 Economics, Econometrics and Finance Pub Date : 2021-06-11 DOI: 10.1504/IJEF.2021.115647
Bhoomika Trehan, A. Sinha
The purpose of this study is to investigate the existence of confirmation bias among online investors participating in virtual communities. It further examines the factors such as perceived knowledge, investment experience, and gender that influence the confirmation bias. In the virtual communities, two types of participants were identified 'knowledge seekers' and 'knowledge contributors'. An online survey was conducted using structured questionnaire and the data was analysed with the application of relevant statistical tools. Investment-related virtual communities were found to be a great source of stock market-related news and investment ideas. The findings indicate that online investors exhibit confirmation bias as they join virtual communities to seek information that confirms their previous beliefs and opinions. The data was collected from online chat rooms where online investors interact and discuss investment trades. As many investors invest online without taking financial advice and guidance, their investment choices depend on their instinct and knowledge. Therefore, this study is of immense importance for both investors and investment advisors.
本研究的目的是调查参与虚拟社区的在线投资者是否存在确认偏差。它进一步考察了影响确认偏差的因素,如感知知识、投资经验和性别。在虚拟社区中,两类参与者被确定为“知识寻求者”和“知识贡献者”。使用结构化问卷进行了在线调查,并应用相关统计工具对数据进行了分析。与投资相关的虚拟社区被发现是股票市场相关新闻和投资想法的重要来源。研究结果表明,在线投资者在加入虚拟社区寻求证实其先前信仰和观点的信息时,会表现出确认偏见。这些数据是从在线投资者互动和讨论投资交易的在线聊天室收集的。由于许多投资者在网上投资时没有听取财务建议和指导,他们的投资选择取决于他们的直觉和知识。因此,这项研究对投资者和投资顾问都具有极其重要的意义。
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引用次数: 4
Digital financial inclusion - demand side vs. supply side approach 数字金融包容性——需求侧与供给侧方法
Q4 Economics, Econometrics and Finance Pub Date : 2021-06-11 DOI: 10.1504/IJEF.2021.10038668
Ashutosh Upadhyay, K. Reddy
This paper explores the measurement of digital financial inclusion (DFI) in India by analysing the parameters such as per capita bank accounts, cards, retail payment systems, internet and broadband connections from both the supply side and demand side data. We observe substantial gaps in the level of DFI brought out by these two datasets, with the supply side seeming to overestimate the level of digital financial inclusion. We also propose a theoretical model for equilibrium in demand and supply sides of DFI. Supply of DFI is divided into two components of 'autonomous' and 'induced' supply. We find that demand for and (induced) supply of DFI is directly proportional to the income level of users and the incentives provided for the usage of DFI products/services. For a sustainable model of DFI, both the demand and supply sides should balance and complement each other, and supply-side infrastructure should be available and scalable, to meet a higher level of demand for DFI.
本文通过从供给侧和需求侧数据分析人均银行账户、银行卡、零售支付系统、互联网和宽带连接等参数,探讨了印度数字普惠金融(DFI)的衡量方法。我们观察到这两个数据集带来的DFI水平存在巨大差距,供应方似乎高估了数字普惠金融的水平。本文还提出了DFI需求侧和供给侧均衡的理论模型。DFI的供应分为“自主”供应和“诱导”供应两部分。我们发现,对DFI的需求和(诱导的)供应与用户的收入水平和为使用DFI产品/服务提供的激励成正比。对于可持续发展的DFI模式来说,需求侧和供给侧应该相互平衡和互补,供给侧的基础设施应该是可用的和可扩展的,以满足更高水平的DFI需求。
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引用次数: 1
Internet of things: financial perspective and its associated security concerns 物联网:金融视角及其相关安全问题
Q4 Economics, Econometrics and Finance Pub Date : 2021-06-11 DOI: 10.7763/ijcte.2020.v12.1276
F. Masoodi, B. Pandow
The internet of things (IoT) has expanded at a very rapid rate over the last decade and revolutionised much of internet and devices technologies. Though much of transformation was driven by IoT, however, its implementation, security issues and other associated aspects still remain a matter of concern. The literature on the financial aspect of IoT is very scarce and this paper aims to fill this void and provide financial perspectives on IoT. The analysis of IoT banking and financial services industry is projected to expand from $249.5 million to USD2.03 billion by 2023: eight-time rise or a compound annual growth rate (CAGR) of around 52%. Furthermore, it was noted that the financial results of selected IoT firms had seen decent development over the past many years. In addition, there are several mergers and acquisitions in the IoT market, culminating in USD75.44 billion increase in the sector. One of the major challenges in IoT implementation in the financial industry is security and privacy. The inherent vulnerabilities in IoT devices can be exploited by the attacker, which makes it increasingly onerous for financial services firms to safeguard the system against phishing, data breaches, ransomware and other attacks.
物联网(IoT)在过去十年中以非常快的速度扩张,并彻底改变了许多互联网和设备技术。尽管大部分转型都是由物联网驱动的,但物联网的实施、安全问题和其他相关方面仍然是一个令人担忧的问题。关于物联网金融方面的文献非常稀缺,本文旨在填补这一空白,并提供物联网的金融视角。物联网银行和金融服务行业的分析预计到2023年将从2.495亿美元扩大到20.3亿美元:增长8倍或复合年增长率(CAGR)约为52%。此外,有人指出,在过去的许多年里,选定的物联网公司的财务业绩取得了不错的发展。此外,物联网市场出现了几次并购,最终该行业增长了754.4亿美元。在金融行业实施物联网的主要挑战之一是安全和隐私。物联网设备的固有漏洞可以被攻击者利用,这使得金融服务公司越来越难以保护系统免受网络钓鱼、数据泄露、勒索软件和其他攻击。
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引用次数: 10
Bitcoin prices and rupee-dollar exchange rates during COVID-19 COVID-19期间比特币价格和卢比兑美元汇率
Q4 Economics, Econometrics and Finance Pub Date : 2021-01-01 DOI: 10.1504/IJEF.2021.10038663
G. Naresh, S. Ananda
Bitcoin is the primary cryptocurrency in the world that can be stored and traded through the internet. Digital contracts and cryptocurrencies created on blockchains have now been used in exchanging instruments on the networks and are available online readily. This paper’s main objective is to investigate the causal relationship between bitcoin prices and rupee-US dollar exchange during COVID-19. The study used the Granger causality model to study the price behaviour of bitcoin and the rupee-dollar exchange rate. The study found an unidirectional Granger causality existed, where the rupee-US dollar exchange rate affected the bitcoin price in the Indian market during COVID-19. The bitcoins are widely considered as an investment asset in Indian markets, and the rupee-dollar exchange rate has a significant impact on the bitcoin prices. Copyright © 2021 Inderscience Enterprises Ltd.
比特币是世界上可以通过互联网存储和交易的主要加密货币。在区块链上创建的数字合同和加密货币现已用于网络上的交易工具,并且可以随时在线获取。本文的主要目的是调查COVID-19期间比特币价格与卢比-美元汇率之间的因果关系。本研究使用格兰杰因果关系模型来研究比特币和卢比兑美元汇率的价格行为。研究发现,在2019冠状病毒病期间,卢比兑美元汇率影响了印度市场上的比特币价格,存在单向格兰杰因果关系。比特币在印度市场被广泛视为一种投资资产,卢比兑美元的汇率对比特币价格有重大影响。版权所有©2021 Inderscience Enterprises Ltd。
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引用次数: 0
The Effects of Acculturation on Expatriate Workers' Motivation and Intention to Stay 文化适应对外派员工留下来动机和意愿的影响
Q4 Economics, Econometrics and Finance Pub Date : 2021-01-01 DOI: 10.1504/ijef.2021.10041676
Cyril Mae Estipona Lopez, Karl Manuel Amistoso Gonzales, Jason Lim Chiu
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引用次数: 1
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International Journal of Electronic Finance
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