17 research outputs found
Highly Interconnected Subsystems of the Stock Market
The stock market is a complex system that affects economic and financial
activities around the world. Analysis of stock price data can improve
our understanding of the past price movements of stocks. In this work,
we develop a method to determine the highly interconnected subsystems of
the stock market. Our method relies on a k-core decomposition scheme to
analyze large networks. Our approach illustrates that the stock market
is a nearly decomposable system which comprises hierarchic subsystems.
This work also presents results from the analysis of a network derived
from a large data set of stock prices. This network analysis technique
is a new promising approach to analyze and classify stocks based on
price interactions and to decompose the complex system embodied in the
stock market
Highly Interconnected Subsystems of the Stock Market
The stock market is a complex system that affects economic and financial
activities around the world. Analysis of stock price data can improve
our understanding of the past price movements of stocks. In this work,
we develop a method to determine the highly interconnected subsystems of
the stock market. Our method relies on a k-core decomposition scheme to
analyze large networks. Our approach illustrates that the stock market
is a nearly decomposable system which comprises hierarchic subsystems.
This work also presents results from the analysis of a network derived
from a large data set of stock prices. This network analysis technique
is a new promising approach to analyze and classify stocks based on
price interactions and to decompose the complex system embodied in the
stock market