McMillan Predicting Stock Returns

Implications for Asset Pricing
1. Auflage 2018
ISBN: 978-3-319-69008-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 141 Seiten

Reihe: Psychology and Our Planet

This book provides a comprehensive analysis of asset price movement. It examines different aspects of stock return predictability, the interaction between stock return and dividend growth predictability, the relationship between stocks and bonds, and the resulting implications for asset price movement. By contributing to our understanding of the factors that cause price movement, this book will be of benefit to researchers, practitioners and policy makers alike. 

Zielgruppe

Research

Autoren/Hrsg.

McMillan, David G

Inhaltsverzeichnis

Chapter 1. Introduction.- Chapter 2. Where Does Returns and Cash-Flow Predictability Occur? Evidence from Stock Prices, Earnings, Dividends and Cointegration.- Chapter 3. Forecasting Stock Returns – Historical Mean vs. Dividend Yield: Rolling Regressions and Time-Variation.- Chapter 4. Returns and Dividend Growth Switching Predictability.- Chapter 5. Which Variables Predict and Forecast Stock Market Returns?.- Chapter 6. Forecast and Market Timing Power of the FED Model and the Role of Inflation.- Chapter 7. Summary and Conclusion.

Über Autor(innen)

David G. McMillan is a Professor of Finance at the University of Stirling, UK. His research interests are in empirical financial economics, and include forecasting asset returns and volatility, modelling the linkages between asset prices and macroeconomic variables and examining the behaviour of financial and investor ratios. David has published widely on these topics in internationally respected peer-reviewed journals such as the Journal of Banking and Finance and the Oxford Bulletin of Economics and Statistics. He is a senior editor for the Cogent Economics and Finance and Cogent Business and Management journals and sits of the editorial board of several internationally respected journals, including the European Journal of Finance and the Journal of Asset Management.