The Handbook of News Analytics in Finance

Contents

Preface

Acknowledgements

About the editors

About the contributors

Abbreviations and acronyms

1 Applications of news analytics in finance: A review

Leela Mitra and Gautam Mitra

1.1 Introduction

1.2 News data

1.2.1 Data sources

1.2.2 Pre-analysis of news data

1.3 Turning qualitative text into quantified metrics and time-series

1.4 Models and applications

1.4.1 Information flow and computational architecture

1.4.2 Trading and fund management

1.4.3 Monitoring risk and risk control

1.4.4 Desirable industry applications

1.5 Summary and discussions

1.A Appendix: Structure and content of news data

1.A.1 Details of Thomson Reuters News Analytics equity coverage and available data

1.A.2 Details of RavenPack News Analytics—Dow Jones Edition: Equity coverage and available data

1.B References

PART I QUANTIFYING NEWS: ALTERNATIVE METRICS

2 News analytics: Framework, techniques, and metrics

Sanjiv R. Das

2.1 Prologue

2.2 Framework

2.3 Algorithms

2.3.1 Crawlers and scrapers

2.3.2 Text pre-processing

2.3.3 Bayes Classifier

2.3.4 Support vector machines

2.3.5 Word count classifiers

2.3.6 Vector distance classifier

2.3.7 Discriminant-based classifier

2.3.8 Adjective–adverb classifier

2.3.9 Scoring optimism and pessimism

2.3.10 Voting among classifiers

2.3.11 Ambiguity filters

2.3.12 Network analytics

2.3.13 Centrality

2.3.14 Communities

2.4 Metrics

2.4.1 Confusion matrix

2.4.2 Accuracy

2.4.3 False positives

2.4.4 Sentiment error

2.4.5 Disagreement

2.4.6 Correlations

2.4.7 Aggregation ...