Coronavirus news, markets and AI : the COVID-19 diaries / Pankaj Sharma.

Format:

Book

Author/Creator:

Sharma, Pankaj (Engineer), author.

Language:

English

Subjects (All):

Information theory in finance.

COVID-19 (Disease)--Economic aspects.

COVID-19 (Disease).

Stock exchanges and current events.

Big data.

Artificial intelligence--Economic aspects.

Artificial intelligence.

Physical Description:

1 online resource (xx, 213 pages) : illustrations

Edition:

1st ed.

Place of Publication:

Abingdon, Oxon ; New York, NY : Routledge, 2021.

Summary:

"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 of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: - Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across 'short term' and 'long term'; - Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump's policies; - Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; - Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities"-- Provided by publisher.

Contents:

Intro

Half Title

Title Page

Copyright Page

Contents

List of Figures

List of Tables

Acknowledgements

Notes

About the Book

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'?

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?

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!

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

Daily coronavirus sentiment heat map for countries

News topic sentiment for keywords

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 numbers and statistics

1 April 2020: Coronavirus sentiment versus aggregate market sentiment and the base rate

Why does base rate matter?

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?

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

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

13 March: China accusing the United States Military of the Coronavirus

14 March: Did trump catch COVID-19 from Jair Bolsonaro

15 March: 'Coronavirus holidays' and debate on measures adopted by politicians

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

20 March: Trump accuses China of failing to share information on the epidemic

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

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

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

20 April: Tension between France and China

21 April: Political crisis in Brazil and president Jair Bolsonaro

23 April: Washington not letting up on its 'Maximum Pressure' against Iran.

Notes:

Description based on print version record.

ISBN:

9781003138976

1003138977

9781000327403

100032740X

9781000327441

1000327442

OCLC:

1198086158