Stock market prediction is a very important problem in the economics field. With the
development of machine learning, more and more algorithms are applied in the stock market …

The impact of the investor sentiment on China's capital market price volatility is concerned
under the perspective of the behavioral finance. Firstly, in terms of the existing methods of …

The sporadic large fluctuations seen in the stock market are due to different factors. These
large fluctuations are termed extreme events (EE). We have identified fundamental …

Statistical analysis of high-frequency stock market order transaction data is conducted to
understand order transition dynamics. We employ a first-order time-homogeneous discrete …

Penelitian ini bertujuan untuk mendeskripsikan sentimen negatif netizen pada kolom
komentar detik. com sebagai respon atas pemberitaan mengenai rekayasa kasus …

This paper identifies the cryptocurrency market crashes and analyses its dynamics using the
complex network. We identify three distinct crashes during 2017-20, and the analysis is …

This paper employs Topological Data Analysis (TDA) to detect extreme events (EEs) in the
stock market at a continental level. Previous approaches, which analyzed stock indices …

In this study, we analyzed structural changes in financial markets under COVID-19 to
support investors' investment decisions. Because an explanation of these changes is …

The outbreak of Covid-19 has changed the condition of stock markets around the world,
including Indonesia. The bad news regarding this latest pandemic is forming negative …

Background: India, as one of the major developing economies globally, has experienced
significant economic growth following the Liberalization Reforms of 1991. However, the …