A Tale of Two Sentiment Scales: Disentangling Short-Run and Long-Run Components in Multivariate Sentiment Dynamics

@article{Vassallo2019ATO,
  title={A Tale of Two Sentiment Scales: Disentangling Short-Run and Long-Run Components in Multivariate Sentiment Dynamics},
  author={Danilo Vassallo and Giacomo Bormetti and Fabrizio Lillo},
  journal={Econometric Modeling: Capital Markets - Portfolio Theory eJournal},
  year={2019}
}
  • D. Vassallo, G. Bormetti, F. Lillo
  • Published 3 October 2019
  • Computer Science, Economics, Mathematics
  • Econometric Modeling: Capital Markets - Portfolio Theory eJournal
We propose a novel approach to sentiment data filtering for a portfolio of assets. In our framework, a dynamic factor model drives the evolution of the observed sentiment and allows to identify two distinct components: a long-term component, modeled as a random walk, and a short-term component driven by a stationary VAR(1) process. Our model encompasses alternative approaches available in literature and can be readily estimated by means of Kalman filtering and expectation maximization. This… Expand
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References

SHOWING 1-10 OF 61 REFERENCES
News, volatility and jumps: the case of natural gas futures
We investigate the impact of news sentiment on the price dynamics of natural gas futures. We propose a Local News Sentiment Level model, based on the Local Level model of Durbin and Koopman [TimeExpand
Stock Return Predictability and Investor Sentiment: A High-Frequency Perspective
We explore the predictive relation between high-frequency investor sentiment and stock market returns. Our results are based on a proprietary dataset of high-frequency investor sentiment, which isExpand
Statistical arbitrage in the US equities market
We study model-driven statistical arbitrage in US equities. Trading signals are generated in two ways: using Principal Component Analysis (PCA) or regressing stock returns on sector Exchange TradedExpand
Estimating US Monetary Policy Shocks Using a Factor-Augmented Vector Autoregression: An EM Algorithm Approach
Economy-wide effects of shocks to the US federal funds rate are estimated in a state space model with 120 US macroeconomic and financial time series driven by the dynamics of the federal funds rateExpand
Machine News and Volatility: The Dow Jones Industrial Average and the TRNA Real-Time High-Frequency Sentiment Series
This chapter features an analysis of the relationship between the volatility of the Dow Jones Industrial Average (DJIA) Index and a sentiment news series using daily data obtained from the ThomsonExpand
The Effects of Twitter Sentiment on Stock Price Returns
TLDR
Investigating the relations between a well-known micro-blogging platform Twitter and financial markets shows that sentiment polarity of Twitter peaks implies the direction of cumulative abnormal returns. Expand
How News and its Context Drive Risk and Returns Around the World
Abstract We develop a classification methodology for the context and content of news articles to predict risk and return in stock markets in 51 developed and emerging economies. A parsimoniousExpand
Words are the New Numbers: A Newsy Coincident Index of the Business Cycle
ABSTRACT I construct a daily business cycle index based on quarterly GDP growth and textual information contained in a daily business newspaper. The newspaper data are decomposed into time seriesExpand
News Sentiment in the Gold Futures Market
This article utilises commodity specific news sentiment data provided by Thomson Reuters News Analytics to examine the relationship between news sentiment and returns in the gold futures market overExpand
An Empirical Analysis of Alternative Portfolio Selection Criteria
In modern portfolio theory, financial portfolios are characterised by a desired property, the ‘reward’, and something undesirable, the ‘risk’. While these properties are commonly identified with meanExpand
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