Predicting Stock Returns

Uses advanced econometric techniques
Brings together current research in the area of asset pricingExamines the relationship between stocks and bonds
Contributes to improved theoretical models

Uses advanced econometric techniques Brings together current research in the area of asset pricing Examines the relationship between stocks and bonds Contributes to improved theoretical models

Autorentext

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.

Inhalt

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.