Detection and forecasting of extreme events in stock price triggered by fundamental, technical, and external factors

A Rai, SR Luwang, M Nurujjaman, C Hens… - Chaos, Solitons & …, 2023 - Elsevier
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 …

Modeling and analysis of the effect of COVID-19 on the stock price: V and L-shape recovery

A Mahata, A Rai, M Nurujjaman, O Prakash - Physica A: Statistical …, 2021 - Elsevier
The emergence of the COVID-19 pandemic, a new and novel risk factor, leads to the stock
price crash due to the investors' rapid and synchronous sell-off. However, within a short …

Characteristics of 2020 stock market crash: The COVID-19 induced extreme event

A Mahata, A Rai, M Nurujjaman, O Prakash… - … Journal of Nonlinear …, 2021 - pubs.aip.org
A sudden fall of stock prices happens during a pandemic due to the panic sell-off by the
investors. Such a sell-off may continue for more than a day, leading to a significant crash in …

Can crude oil serve as a hedging asset for underlying securities?—research on the heterogenous correlation between crude oil and stock index

S Xu, Z Du, H Zhang - Energies, 2020 - mdpi.com
In the increasingly frequent global financial turmoil, investors prefer to invest in stable assets
to hedge risks. Crude oil naturally has dual use value as a general commodity and as a …

High-frequency stock market order transitions during the US–China trade war 2018: A discrete-time Markov chain analysis

S Rabindrajit Luwang, A Rai, M Nurujjaman… - … Journal of Nonlinear …, 2024 - pubs.aip.org
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 …

Identifying extreme events in the stock market: A topological data analysis

A Rai, B Nath Sharma, S Rabindrajit Luwang… - … Journal of Nonlinear …, 2024 - pubs.aip.org
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 …

A sentiment-based modeling and analysis of stock price during the COVID-19: U-and Swoosh-shaped recovery

A Rai, A Mahata, M Nurujjaman, S Majhi… - Physica A: Statistical …, 2022 - Elsevier
In the aftermath of stock market crash due to COVID-19, not all sectors recovered in the
same way. Recently, a stock price model is proposed by Mahata et al.(2021) that describes …

Statistical properties of the aftershocks of stock market crashes revisited: Analysis based on the 1987 crash, financial-crisis-2008 and COVID-19 pandemic

A Rai, A Mahata, M Nurujjaman… - International Journal of …, 2022 - World Scientific
During any unique crisis, panic sell-off leads to a massive stock market crash that may
continue for more than a day, termed as mainshock. The effect of a mainshock in the form of …

Time scales and characteristics of stock markets in different investment horizons

A Mahata, M Nurujjaman - Frontiers in Physics, 2020 - frontiersin.org
Investors adopt varied investment strategies depending on the time scales (τ) of short-term
and long-term investment time horizons (ITH). The nature of the market is very different in …

Market persistence amidst financial crisis: an Indian investigation

A Bhattacharjee, JM Prosad… - Cogent Economics & …, 2025 - Taylor & Francis
This study examines persistence behavior of the Indian Stock Market during financial crises
over the past decade (2012–2022). The investigation period encompasses significant …