COUPLED NETWORK APPROACH TO PREDICTABILITY OF FINANCIAL MARKET RETURNS AND NEWS SENTIMENTS-Reference-Cited by-同舟云学术

COUPLED NETWORK APPROACH TO PREDICTABILITY OF FINANCIAL MARKET RETURNS AND NEWS SENTIMENTS

Published:2015-11 Issue:07 Volume:18 Page:1550043
ISSN:0219-0249
Container-title:International Journal of Theoretical and Applied Finance
language:en
Short-container-title:Int. J. Theor. Appl. Finan.

Author:

CURME CHESTER¹,STANLEY H. EUGENE¹,VODENSKA IRENA²

Affiliation:

1. Center for Polymer Studies and Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, MA 02215, USA

2. Administrative Sciences Department, Metropolitan College, Boston University, 808 Commonwealth, Avenue Boston, MA 02215, USA

Abstract

We analyze the network structure of lagged correlations among daily financial news sentiments and returns of financial market indices of 40 countries from 2002 to 2012. Using a spectral method, we decompose the network into bipartite sub-structures, and show that these sub-structures are relevant to the performance of prediction models, bridging concepts from network theory and time series analysis. Our results suggest that, at the daily level, endogenous influences among financial markets overwhelm exogenous influences of news outlets, and that changes in financial news sentiments respond to market movements more substantially than they drive them.

Publisher

World Scientific Pub Co Pte Lt

Subject

General Economics, Econometrics and Finance,Finance

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219024915500430

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