Buch, Englisch, 384 Seiten, Format (B × H): 177 mm x 252 mm, Gewicht: 810 g
Reihe: Wiley Finance Series
Buch, Englisch, 384 Seiten, Format (B × H): 177 mm x 252 mm, Gewicht: 810 g
Reihe: Wiley Finance Series
ISBN: 978-0-470-66679-1
Verlag: John Wiley & Sons
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensfinanzen Finanzierung, Investition, Leasing
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Unternehmensfinanzierung
- Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft Internationale Finanzmärkte
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Internationale Finanzmärkte
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Anlagen & Wertpapiere
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Bankwirtschaft
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Börse, Rohstoffe
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines
Weitere Infos & Material
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.
1.3 Turning qualitative text into quantified metrics and time-series.
1.4 Models and applications.
1.5 Summary and discussions.
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.
2.4 Metrics.
2.5 Discussion.
2.6 References.
3 Managing real-time risks and returns: The Thomson Reuters NewsScope Event Indices (Alexander D. Healy and Andrew W. Lo).
3.1 Introduction.
3.2 Literature review.
3.3 Data.
3.4 A framework for real-time news analytics.
3.5 Validating Event Indices.
3.6 News indices and FX implied volatility.
3.7 Event study analysis through September 2008.
3.8 Conclusion.
4 Measuring the value of media sentiment: A pragmatic view (Marion Munz).
4.1 Introduction.
4.2 The value of news for the US stock market.
4.3 News moves markets.
4.4 News moves stock prices.
4.5 News vs. noise.
4.6 Regulated vs. unregulated news.
4.7 The news component of the stock price.
4.8 Materiality is near.
4.9 Size does matter.
4.10 Corporate senior management under the gun.
4.11 A case for regulated financial news media.
4.12 Wall Street analysts may create "material" news.
4.13 Traders may create news.
4.14 Earnings news releases.
4.15 News sentiment used for trading or investing decisions.
4.16 News sentiment systems.
4.17 Backtesting news sentiment systems.4.18 The value of media sentiment.
4.19 Media sentiment in action.
4.20 Conclusion.
5 How news events impact market sentiment (Peter Ager Hafez).
5.1 Introduction.
5.2 Market-level sentiment.
5.3 Industry-level sentiment.
5.4 Conclusion.
PART II NEWS AND ABNORMAL RETURNS.
6 Relating news analytics to stock returns (David Leinweber and Jacob Sisk).
6.1 Introduction.
6.2 Previous work.
6.3 News data structure and statistics.
6.4 Improving news analytics with aggregation.
6.5 Refining filters using interactive exploratory data analysis and visualization.
6.6 Information efficiency and market capitalization.
6.7 US portfolio simulation using news analytic signals.
6.8 Discussion of RNSE and portfolio construction.
6.9 Summary and areas for additional research.
6.10 Acknowledgments.
6.11 References.
7 All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors (Brad M. Barber and Terrance Odean).
7.1 Related research.
7.2 Data.
7.3 Sort methodology.
7.4 Results.
7.5 Short-sale constraints.
7.6 Asset pricing: Theory and evidence.
7.7 Conclusion.
7.8 Acknowledgments.
7.9 References.
8 The impact of news flow on asset returns: An empirical study (Andy Moniz, Gurvinder Brar, Christian Davies, and Adam Strudwick).
8.1 Background and literature review.
8.2 Aspects of news flow datasets.
8.3 Understanding news flow datasets.
8.4 Does news flow matter?
8.5 News flow and analyst revisions.
8.6 Designing a trading strategy.
8.7 Summary and discussions.
8.8 References.
9 Sentiment reversals as buy signals (John Kittrell).
9.1 Introduction.
9.2 The quantification of sentiment.
9.3 Sentiment reversal universes.
9.4 Monte Carlo-style simulations.
9.5 Conclusion.
9.6 Acknowledgments.
9.7 References.
PART III NEWS AND RISK.
10 Using news as a state variable in assessment of financial market risk (Dan diBartolomeo).
10.1 Introduction.
10.2 The role of news.
10.3 A state-variable approach to risk assessment.
10.4 A Bayesian framework for news inclusion.
10.5 Conclusions.
10.6 References.
11 Volatility asymmetry, news, and private investors