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Characteristics of networks in financial markets
Computer Physics Communications, 2007We investigate the financial network of the Korea Stock Exchange (KSE) using numerical simulations and scaling arguments. The frequency of degree and the edge density for a real stock market graph are mainly discussed from a numerical point of view. In particular, our frequency of degree follows approximately the power law distribution.
Kim, K, Kim, SY Kim, Soo Yong, Ha, DH
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Financial flow of funds networks
Networks, 1992AbstractThis article develops a general network model of financial flow of funds accounting that explicitly incorporates feedback and can be used to calculate reconciled values of all outstanding financial instruments, tangible assets, and net worth.
Nagurney, Anna, Hughes, Merritt
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2017
This chapter examines how networked financialization exacerbated capitalism's crisis tendencies. Financialization, a formative aspect of the rise of digital capitalism in response to the crisis of the 1970s, evolved out of multiple impulses. One spur came as millions of workers who experienced wage repression were brought to depend on debt for ...
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This chapter examines how networked financialization exacerbated capitalism's crisis tendencies. Financialization, a formative aspect of the rise of digital capitalism in response to the crisis of the 1970s, evolved out of multiple impulses. One spur came as millions of workers who experienced wage repression were brought to depend on debt for ...
openaire +1 more source
Navigating financial toxicity in patients with cancer: A multidisciplinary management approach
Ca-A Cancer Journal for Clinicians, 2022Maria Pisu +2 more
exaly
Time to add screening for financial hardship as a quality measure?
Ca-A Cancer Journal for Clinicians, 2021Ya-Chen Tina Shih +2 more
exaly
Neural networks for financial forecast.
1998We use Neural Networks algorithms for forecasting financial time series. We check first he kind of correlations that the series exhibits by means of the estimate of the Hurst's H parameter. The range of correlations characterize the time series and fives useful hints for choosing the network and the training set.
ROTUNDO, Giulia +2 more
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Neural Network–Based Financial Volatility Forecasting: A Systematic Review
ACM Computing Surveys, 2023Wenbo Ge, Hanna Suominen
exaly
Multilayer financial networks and systemic importance: Evidence from China
International Review of Financial Analysis, 2021Xiong Wang +2 more
exaly