Financial time series prediction is a hot topic in machine learning field, but existing works
barely catch the point of such data. In this study, we employ the most suitable preprocessing …

Introduction A deeper comprehension of accountability is beneficial for identifying and
fostering tactics to boost accountability and raise the standard of healthcare. The main …

This study examines how YouTube influencers can help shape equity decisions. We used a
structured questionnaire with 26 questions to collect data using a purposive sample and the …

The study intends to identify the factors that affect the risk perception of investors towards
equity shares and further identifies the association between the identified factors. The study …

Introduction This study aims to identify the negative customer experiences reflected in
complaints against diagnostic centers using data mining tools. Methods Analyzing customer …

This study explores risk perceptions in cryptocurrency investments among Indian investors. It
employs a multistage random sampling survey of 228 investors. Four key factors influence …

ABSTRACT A social media payment platform is a digital service that allows users to send
and receive money through social media platforms. In the light of popularity of social media …

We propose an agent-based artificial stock market to investigate the influences of social
networks on financial markets. It contains four types of traders whose information sets and …

The main aim of this study is to assess the relative weight of determinants of investment in
Index schemes of mutual funds. The target population for the study came out to be 880 …

The study attempts to identify the presence of randomness in the socially responsible
indices (SRI) of the stock markets of developed and emerging economies. 9 developed and …