Coronavirus news, markets and AI the COVID-19 diaries

"Coronavirus News, Markets and AI explores the analysis of unstructured data from coronavirus related news and the underlying sentiment during its real-time impact on the world and on global financial markets, in particular. In an age where information, both real and fake, travels in the blink...

Descripción completa

Detalles Bibliográficos
Otros Autores: Sharma, Pankaj (Engineer), author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Abingdon, Oxon ; New York, NY : Routledge 2021.
Edición:1st ed
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009634693106719
Tabla de Contenidos:
  • Intro
  • Half Title
  • Title Page
  • Copyright Page
  • Contents
  • List of Figures
  • List of Tables
  • Acknowledgements
  • Notes
  • About the Book
  • Notes
  • Introduction
  • 'Unstructured data' and the huge quantities of information
  • 'Structured data' versus 'unstructured data'
  • Significance of 'unstructured data'
  • What is 'unstructured data' analysis and how are we doing it?
  • The importance of 'multiple sources', 'local language news' and 'translation'
  • Coronavirus pandemic: The key global event for 2020
  • Overreaction and the coronavirus pandemic
  • How do we calculate the coronavirus sentiment?
  • Big data and AI (Artificial Intelligence) texts are the foundation for this book
  • EMAlpha sentiment technology
  • Crude oil price and its linkage with coronavirus sentiment
  • News sentiment on the president of the United States, Donald Trump
  • Why local news-based sentiment analysis matters
  • How base rate changes everything
  • High-Profile cases and the impact on coronavirus sentiment
  • The country-by-country sentiment on the coronavirus
  • COVID-19 has turned the world upside down
  • What are the factors that influence the pandemic news?
  • What do we see more in this coronavirus news?
  • How do we use the inferences drawn from 'unstructured data'?
  • Notes
  • Part I: The Method
  • 1. How to Read This Book?
  • A few suggestions before you begin
  • A sample of our machine-aided observations
  • 2. Reading Coronavirus News
  • Coronavirus: neither the first nor the last pandemic
  • What is sentiment analysis?
  • News sentiment versus real impact
  • The media coverage on the coronavirus and the impact on financial markets
  • The coronavirus pandemic crisis versus the global financial crisis of 2008
  • This book is a diary of market analysts watching sentiment on the coronavirus
  • How do we calculate the coronavirus sentiment?.
  • Notes
  • 3. Sentiment Analysis, Big Data and AI
  • Big data and AI (artificial intelligence) texts are the foundation for this book
  • The drivers of sentiment analysis
  • 'Efficient market hypothesis' versus 'inefficiencies of markets'
  • More information = more data, more data = more analytics
  • How precise is big data inferences?
  • The path from unstructured data to actionable insights
  • Big data applications: they are everywhere
  • No turning back
  • 4. Unstructured Data: How to Tame the Beast?
  • EMAlpha sentiment technology
  • The major challenges
  • What have we done?
  • Machine sentiment combined with human expertise
  • Part II: The Results
  • 5. Ebbing in May: 'Are We Celebrating Too Early?'
  • 29 May 2020: Oil news sentiment captures the firmness in crude prices
  • 16 May 2020: Oil sentiment: conflicting signs from the IEA and aramco stock price
  • 14 May 2020: Did world media underestimate the coronavirus crisis in Latin America?
  • 14 May 2020: Is oil sentiment telling that the worst of the coronavirus is behind Us?
  • 10 May 2020: Coronavirus threat: who can afford a lockdown and for how long?
  • 1 May 2020: Beauty lies in the eyes of the beholder, so does risk!
  • Notes
  • 6. The Deadly April: 'Blame Game and Search for a Coronavirus Vaccine'
  • 30 April 2020: Is the 'news sentiment impact' on markets back in business?
  • 27 April 2020: Oil, again
  • Coronavirus country-by-country sentiment time series
  • Coronavirus aggregate global sentiment time series
  • News sentiment for topical keywords
  • Crude oil news sentiment
  • Aggregate india equity market sentiment
  • 22 April 2020: Oil's historic fall: Precipitated by quickly worsened sentiment?
  • 21 April 2020: Crude and coronavirus: Oil futures in negative for the first time in history and its key implications.
  • 20 April 2020: Markets and the coronavirus sentiment: The battle between optimism and pessimism
  • The details and inferences from the coronavirus and news sentiment
  • Coronavirus country-by-country sentiment time series
  • Coronavirus aggregate global sentiment time series
  • Daily coronavirus sentiment heat map for countries
  • News topic sentiment for keywords
  • Crude oil news sentiment
  • Aggregate india equity markets sentiment
  • 17 April 2020: News sentiment on donald trump does not matter for markets? no, it does not - not really?
  • 15 April 2020: Is trump losing the perception battle in media and why does this matter for markets?
  • 9 April 2020: Is the fed making data on fundamentals irrelevant for markets?
  • 8 April 2020: Why does local news-based sentiment analysis matter?
  • Does all this really matter for the markets?
  • 6 April 2020: Coronavirus: Darkest before the dawn or no light at the end of the tunnel?
  • Coronavirus country-by-country sentiment time series
  • Daily coronavirus sentiment heat map for countries
  • News topic sentiment for keywords
  • Crude oil news sentiment
  • Aggregate india equity markets sentiment
  • Coronavirus numbers and statistics
  • 1 April 2020: Coronavirus sentiment versus aggregate market sentiment and the base rate
  • Why does base rate matter?
  • Notes
  • 7. Coronavirus Goes Global in March: 'Oops ... It Is Getting Serious'
  • 30 March 2020: The dichotomy of a worse coronavirus situation and better markets
  • Coronavirus Country Sentiment
  • Global Coronavirus Sentiment
  • News Topic Sentiment
  • Oil Sentiment
  • Coronavirus Sentiment Map
  • Coronavirus Numbers and Statistics
  • 25 March 2020: For global economy and EMs, better news sentiment on the United States helps
  • 24 March 2020: Coronavirus news sentiment and Indian markets on 20 and 23 March.
  • 23 March 2020: Coronavirus, news Sentiment and investor behaviour
  • Coronavirus, Sentiment and Markets
  • Phase 1: 10 January to 9 February
  • Phase 2: 10 February to 2 March
  • The Importance of Local News
  • Phase 3: 3 March to Present
  • 18 March 2020: Coronavirus sentiment: Deteriorating further and what did we learn in India?
  • 15 March 2020: High-Profile cases and the impact on coronavirus sentiment
  • 10 March 2020: EMAlpha news sentiment: The markets and coronavirus
  • 7 March 2020: Coronavirus, human irrationality and Daniel Kahneman
  • 4 March 2020: Coronavirus Sentiment Watch
  • 2 March 2020: Coronavirus impact on markets: Is local sentiment more important?
  • Notes
  • 8. The Build-Up in February : 'Come on, Do Not Worry Too Much'
  • 27 February 2020: Coronavirus and markets
  • 9 February 2020: The coronavirus and how sentiment impacts the market
  • Notes
  • Part III: The Samples
  • 9. Politics, Conspiracy Theories and Religion
  • 10 March: Iranian claims dealing with the coronavirus outbreak fell to agencies at the last minute
  • Machine-generated translation in english:
  • 13 March: American National Security Advisor Accusing China of the pandemic
  • Machine-generated translation in english:
  • 13 March: China accusing the United States Military of the Coronavirus
  • Machine-generated translation in english:
  • 14 March: Did trump catch COVID-19 from Jair Bolsonaro
  • Machine-generated translation in english:
  • 15 March: 'Coronavirus holidays' and debate on measures adopted by politicians
  • Machine-generated translation in english:
  • 16 March: Muslims returning to Turkey from Pilgrimage in Saudi Arabia are taken into quarantine
  • 16 March: Trump Administration Offered the German Pharmaceutical Company a 'Large Sum of Money' for exclusivity on vaccination against the coronavirus
  • Machine-generated translation in english:.
  • 19 March: New coronavirus infection is not produced in the laboratory
  • Machine-generated translation in english:
  • 20 March: Trump accuses China of failing to share information on the epidemic
  • Machine-generated translation in english:
  • 21 March: 700 cases linked to a mass religious gathering held at a mosque
  • 22 March: Filipinos who attended a religious event in Malaysia linked to a Spike in COVID-19
  • 25 March: Response of politicians to the coronavirus
  • 26 March: Activists launch 'Digital Protest' to end United States Sanctions on Iran
  • 27 March: Coronavirus - where it came from for humans
  • Machine-generated translation in english:
  • 28 March: The Verbal War between Iran and the United States
  • 29 March: Brazil and coronavirus cases in Italy, Germany and Spain
  • English translation:
  • 4 April: A cluster of coronavirus cases can be traced back to a single mosque, and now 200 million muslims are being vilified
  • 5 April: Canada's Health Minister's credulity plays right into China's hands
  • 11 April: Churches in Singapore took good friday services online
  • 16 April: Chinese foreign ministry spokesperson quotes WHO and said to support that there is no evidence that the coronavirus was released from a laboratory
  • Machine-generated translation in english:
  • 16 April: Trump said his government is trying to determine if the coronavirus came from a laboratory
  • 18 April: France said no evidence so far of a link between the new coronavirus and the P4 research laboratory in Wuhan
  • 19 April: Heavy criticism of the work of the undersecretary of health in Mexico
  • Machine-generated translation in english:
  • 20 April: Tension between France and China
  • Machine-generated translation in english:
  • 21 April: Political crisis in Brazil and president Jair Bolsonaro
  • Machine-generated translation in english:.
  • 23 April: Washington not letting up on its 'Maximum Pressure' against Iran.