no code implementations • 8 Feb 2024 • M. Mijaíl Martínez-Ramos, Parisa Majari, Andres R. Cruz-Hernández, Hirdesh K. Pharasi, Manan Vyas
We analyze correlation structures in financial markets by coarse graining the Pearson correlation matrices according to market sectors to obtain Guhr matrices using Guhr's correlation method according to Ref.
no code implementations • 12 Jul 2021 • Hirdesh K. Pharasi, Suchetana Sadhukhan, Parisa Majari, Anirban Chakraborti, Thomas H. Seligman
The concept of states of financial markets based on correlations has gained increasing attention during the last 10 years.
no code implementations • 10 Nov 2020 • Hirdesh K. Pharasi, Eduard Seligman, Suchetana Sadhukhan, Parisa Majari, Thomas H. Seligman
Previous research explored various conditions of financial markets based on the similarity of correlation structures and classified as market states.
no code implementations • 25 Sep 2020 • Areejit Samal, Hirdesh K. Pharasi, Sarath Jyotsna Ramaia, Harish Kannan, Emil Saucan, Jürgen Jost, Anirban Chakraborti
The complexity of financial markets arise from the strategic interactions among agents trading stocks, which manifest in the form of vibrant correlation patterns among stock prices.
no code implementations • 20 Apr 2020 • Vishwas Kukreti, Hirdesh K. Pharasi, Priya Gupta, Sunil Kumar
In this brief review, we critically examine the recent work done on correlation-based networks in financial systems.
no code implementations • 16 Mar 2020 • Hirdesh K. Pharasi, Eduard Seligman, Thomas H. Seligman
We investigate the statistical properties of correlation matrices constructed from the sliding epochs.
no code implementations • 10 Oct 2019 • Anirban Chakraborti, Hrishidev, Kiran Sharma, Hirdesh K. Pharasi
The correlation structures change drastically, akin to phase transitions in physical phenomena, as do the influential stocks (leaders) and sectors (communities), during market events like crashes.