Predicting Stock Returns
Springer International Publishing (Verlag)
978-3-319-69007-0 (ISBN)
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.
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.
Erscheinungsdatum | 05.01.2018 |
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Zusatzinfo | XIII, 136 p. 7 illus., 5 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 148 x 210 mm |
Gewicht | 315 g |
Themenwelt | Mathematik / Informatik ► Mathematik |
Wirtschaft ► Betriebswirtschaft / Management | |
Wirtschaft ► Volkswirtschaftslehre ► Mikroökonomie | |
Wirtschaft ► Volkswirtschaftslehre ► Wirtschaftspolitik | |
Schlagworte | Asset Allocation • Asset price movement • Behavioral Finance • Behavioural Economics • Capital Markets • Dividend growth predictability • Economics and finance • economics, finance, business & management • Economics, Finance, Business & Management • FED model • Finance • Financial Engineering • International stock markets • probability & statistics • Probability & statistics • Public Finance • Public finance & taxation • Public finance & taxation • Sharpe ratio with no short-selling (SHARPE) • State-space model • Statistics for Business/Economics/Mathematical Fin • Stock price movements • Stock price valuation • Stock return forecasting • Stock return predictability • VAR Model |
ISBN-10 | 3-319-69007-8 / 3319690078 |
ISBN-13 | 978-3-319-69007-0 / 9783319690070 |
Zustand | Neuware |
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