Download or read book The Predictability of Stock Market Regime written by Simon Van Norden and published by . This book was released on 1991 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Predictability of Stock Market Regime written by Simon Van Norden and published by . This book was released on 1991 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Regime Shifts and Stock Return Predictability written by Regina Hammerschmid and published by . This book was released on 2019 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identifying economic regimes is useful in a world of time-varying risk premia. We apply regime switching models to common factors proxying for the macroeconomic regime and show that the ensuing regime factor is relevant in forecasting the equity risk premium. Moreover, the relevance of this regime factor is preserved in the presence of fundamental variables and technical indicators which are known to predict equity risk premia. Based on multiple predictive regressions and pooled forecasts, the macroeconomic regime factor is deemed complementary relative to the fundamental and technical information sets. Finally, these forecasts exhibit significant out-of-sample predictability that ultimately translates into considerable utility gains in a mean-variance portfolio strategy.
Download or read book Business Cycles written by Francis X. Diebold and published by Princeton University Press. This book was released on 1999-04-12 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of Contents
Download or read book Predictability of Stock Market Prices written by Clive William John Granger and published by . This book was released on 1970 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Predictability of Stock Returns written by Zhong-guo Zhou and published by . This book was released on 1993 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stock Market Risk Predictability in a Data Rich World written by Feng Ma and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study develops a prevailing shrinkage method, LASSO with Markov regime-switching model (MRS-LASSO), to predict the US stock market volatility. Totally 17 famous macroeconomic and financial factors are used in this research. The out-of-sample results reveal the MRS-LASSO model can successfully predict volatility from statistical and economic viewpoints. We further investigate the predictability of MRS-LASSO in terms of the different market conditions, business cycles, and variable selection. Three factors (equity market returns, short-term reversal factor, and consumer sentiment index) are the most frequent predictors. To investigate the practical implications, we construct the expected variance risk premium (VRP) by volatility forecasts generated from the LASSO and MRS-LASSO models to forecast future stock return and find those models are also powerful.
Download or read book Advances in Markov Switching Models written by James D. Hamilton and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of state-of-the-art papers on the properties of business cycles and financial analysis. The individual contributions cover new advances in Markov-switching models with applications to business cycle research and finance. The introduction surveys the existing methods and new results of the last decade. Individual chapters study features of the U. S. and European business cycles with particular focus on the role of monetary policy, oil shocks and co movements among key variables. The short-run versus long-run consequences of an economic recession are also discussed. Another area that is featured is an extensive analysis of currency crises and the possibility of bubbles or fads in stock prices. A concluding chapter offers useful new results on testing for this kind of regime-switching behaviour. Overall, the book provides a state-of-the-art over view of new directions in methods and results for estimation and inference based on the use of Markov-switching time-series analysis. A special feature of the book is that it includes an illustration of a wide range of applications based on a common methodology. It is expected that the theme of the book will be of particular interest to the macroeconomics readers as well as econometrics professionals, scholars and graduate students. We wish to express our gratitude to the authors for their strong contributions and the reviewers for their assistance and careful attention to detail in their reports.
Download or read book Regime Changes in the Relationship between Stock Returns and the Macroeconomy written by Stuart Hyde and published by . This book was released on 2005 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates the presence of nonlinear influences in the relationship between stock returns and the macroeconomy is examined for eight countries. The markets chosen are Belgium, Canada, France, Germany, Ireland, Japan, U.K. and the U.S. Specifically we analyse both the contemporaneous (asset pricing) relationship and the lagged (return predictability) relationship. Significantly the asset pricing relationship highlights the importance of accounting for variations in the relationships between bear markets and other states. Nonlinearity is accounted for via regime switching using a smooth transition regression (STR) model with the world market return as the transition variable. There is evidence of nonlinearity in all countries. Given the potentially complex nonlinearities in the determination of stock market prices, the possibility of multiple regimes (MRSTR) is also investigated. With the exception of Belgium, all markets exhibit evidence of multiple regimes. Results show that covariance with the world market portfolio increases during 'crisis' regimes, complementing the findings of Longin and Solnik (2001) and Ang, Chen and Xing (2004). Interest rate and inflation variables are strong determinants of stock returns while dividend yields and oil prices only influence returns in regimes identified by multiple regime models. Industrial production growth is not a significant factor. Out-of-sample forecasting of the nonlinear models is not superior to that of the linear models. However the smooth transition regression models predict direction more frequently than linear specifications. Analysis of return predictability produces results consistent with the standard stylised facts, i.e. that the dividend yield and term structure variables are important predictors of future stock returns.
Download or read book The Predictability of Stock Market Prices written by Nuno Crato and published by . This book was released on 1994 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book How Learning in Financial Markets Generates Excess Volatility and Predictability in Stock Prices written by Allan G. Timmermann and published by . This book was released on 1992 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Granville s New Key to Stock Market Profits written by Joseph E. Granville and published by Pickle Partners Publishing. This book was released on 2018-12-05 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this remarkable stock market study, one of Wall Street’s best known market analysts reveals a new technical tool he developed for gauging the pulse of the trading cycle. Called the On Balance Volume Theory, this tool tends to fill in some of the conspicuous voids in the famous Dow Theory—especially the lack of discussion and use of stock volume figures. As straightforward as a set of bridge rules, on-balance volume (OBV) denotes each buy and sell signal so that a trader can follow them without his own emotions tending to lead him astray—emotions causing most of the market misjudgements that take place. The Granville OBV method is essentially scientific, has a high degree of accuracy and has many automatic features. The reader of this book will be introduced to a method whereby he may benefit by the earlier movements of volume over price—the “early warning” radar of volume buy and sell signals.
Download or read book Handbook of Financial Econometrics written by Yacine Ait-Sahalia and published by Elsevier. This book was released on 2009-10-19 with total page 809 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of original articles—8 years in the making—shines a bright light on recent advances in financial econometrics. From a survey of mathematical and statistical tools for understanding nonlinear Markov processes to an exploration of the time-series evolution of the risk-return tradeoff for stock market investment, noted scholars Yacine Aït-Sahalia and Lars Peter Hansen benchmark the current state of knowledge while contributors build a framework for its growth. Whether in the presence of statistical uncertainty or the proven advantages and limitations of value at risk models, readers will discover that they can set few constraints on the value of this long-awaited volume. - Presents a broad survey of current research—from local characterizations of the Markov process dynamics to financial market trading activity - Contributors include Nobel Laureate Robert Engle and leading econometricians - Offers a clarity of method and explanation unavailable in other financial econometrics collections
Download or read book Strategic Asset Allocation written by John Y. Campbell and published by OUP Oxford. This book was released on 2002-01-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic finance has had a remarkable impact on many financial services. Yet long-term investors have received curiously little guidance from academic financial economists. Mean-variance analysis, developed almost fifty years ago, has provided a basic paradigm for portfolio choice. This approach usefully emphasizes the ability of diversification to reduce risk, but it ignores several critically important factors. Most notably, the analysis is static; it assumes that investors care only about risks to wealth one period ahead. However, many investors—-both individuals and institutions such as charitable foundations or universities—-seek to finance a stream of consumption over a long lifetime. In addition, mean-variance analysis treats financial wealth in isolation from income. Long-term investors typically receive a stream of income and use it, along with financial wealth, to support their consumption. At the theoretical level, it is well understood that the solution to a long-term portfolio choice problem can be very different from the solution to a short-term problem. Long-term investors care about intertemporal shocks to investment opportunities and labor income as well as shocks to wealth itself, and they may use financial assets to hedge their intertemporal risks. This should be important in practice because there is a great deal of empirical evidence that investment opportunities—-both interest rates and risk premia on bonds and stocks—-vary through time. Yet this insight has had little influence on investment practice because it is hard to solve for optimal portfolios in intertemporal models. This book seeks to develop the intertemporal approach into an empirical paradigm that can compete with the standard mean-variance analysis. The book shows that long-term inflation-indexed bonds are the riskless asset for long-term investors, it explains the conditions under which stocks are safer assets for long-term than for short-term investors, and it shows how labor income influences portfolio choice. These results shed new light on the rules of thumb used by financial planners. The book explains recent advances in both analytical and numerical methods, and shows how they can be used to understand the portfolio choice problems of long-term investors.
Download or read book Why Stock Markets Crash written by Didier Sornette and published by Princeton University Press. This book was released on 2017-03-21 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scientific study of complex systems has transformed a wide range of disciplines in recent years, enabling researchers in both the natural and social sciences to model and predict phenomena as diverse as earthquakes, global warming, demographic patterns, financial crises, and the failure of materials. In this book, Didier Sornette boldly applies his varied experience in these areas to propose a simple, powerful, and general theory of how, why, and when stock markets crash. Most attempts to explain market failures seek to pinpoint triggering mechanisms that occur hours, days, or weeks before the collapse. Sornette proposes a radically different view: the underlying cause can be sought months and even years before the abrupt, catastrophic event in the build-up of cooperative speculation, which often translates into an accelerating rise of the market price, otherwise known as a "bubble." Anchoring his sophisticated, step-by-step analysis in leading-edge physical and statistical modeling techniques, he unearths remarkable insights and some predictions--among them, that the "end of the growth era" will occur around 2050. Sornette probes major historical precedents, from the decades-long "tulip mania" in the Netherlands that wilted suddenly in 1637 to the South Sea Bubble that ended with the first huge market crash in England in 1720, to the Great Crash of October 1929 and Black Monday in 1987, to cite just a few. He concludes that most explanations other than cooperative self-organization fail to account for the subtle bubbles by which the markets lay the groundwork for catastrophe. Any investor or investment professional who seeks a genuine understanding of looming financial disasters should read this book. Physicists, geologists, biologists, economists, and others will welcome Why Stock Markets Crash as a highly original "scientific tale," as Sornette aptly puts it, of the exciting and sometimes fearsome--but no longer quite so unfathomable--world of stock markets.
Download or read book Emerging Markets written by Greg N. Gregoriou and published by CRC Press. This book was released on 2009-06-26 with total page 870 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although emerging market economies consist of 50% of the global population, they are relatively unknown. Filling this knowledge gap, Emerging Markets: Performance, Analysis and Innovation compiles the latest research by noteworthy academics and money managers from around the world. With a focus on both traditional emerging markets and new areas, su
Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
