Forecasting Stock Market Returns Over Multiple Time Horizons PDF Download
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| Author | : Dimitri Kroujiline |
| Publisher | : |
| Total Pages | : 50 |
| Release | : 2016 |
| Genre | : |
| ISBN | : |
Download Forecasting Stock Market Returns Over Multiple Time Horizons Book in PDF, ePub and Kindle
In this paper we seek to demonstrate the predictability of stock market returns and explain the nature of this return predictability. To this end, we introduce investors with different investment horizons into the news-driven, analytic, agent-based market model developed in Gusev et al. (2015). This heterogeneous framework enables us to capture dynamics at multiple timescales, expanding the model's applications and improving precision. We study the heterogeneous model theoretically and empirically to highlight essential mechanisms underlying certain market behaviors, such as transitions between bull- and bear markets and the self-similar behavior of price changes. Most importantly, we apply this model to show that the stock market is nearly efficient on intraday timescales, adjusting quickly to incoming news, but becomes inefficient on longer timescales, where news may have a long-lasting nonlinear impact on dynamics, attributable to a feedback mechanism acting over these horizons. Then, using the model, we design algorithmic strategies that utilize news flow, quantified and measured, as the only input to trade on market return forecasts over multiple horizons, from days to months. The backtested results suggest that the return is predictable to the extent that successful trading strategies can be constructed to harness this predictability.
| Author | : Stephen Satchell |
| Publisher | : Elsevier |
| Total Pages | : 299 |
| Release | : 2011-04-08 |
| Genre | : Business & Economics |
| ISBN | : 0080550673 |
Download Forecasting Expected Returns in the Financial Markets Book in PDF, ePub and Kindle
Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques. *Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives
| Author | : Wesley R. Gray |
| Publisher | : John Wiley & Sons |
| Total Pages | : 230 |
| Release | : 2015-08-31 |
| Genre | : Business & Economics |
| ISBN | : 111907150X |
Download DIY Financial Advisor Book in PDF, ePub and Kindle
DIY Financial Advisor: A Simple Solution to Build and Protect Your Wealth DIY Financial Advisor is a synopsis of our research findings developed while serving as a consultant and asset manager for family offices. By way of background, a family office is a company, or group of people, who manage the wealth a family has gained over generations. The term 'family office' has an element of cachet, and even mystique, because it is usually associated with the mega-wealthy. However, practically speaking, virtually any family that manages its investments—independent of the size of the investment pool—could be considered a family office. The difference is mainly semantic. DIY Financial Advisor outlines a step-by-step process through which investors can take control of their hard-earned wealth and manage their own family office. Our research indicates that what matters in investing are minimizing psychology traps and managing fees and taxes. These simple concepts apply to all families, not just the ultra-wealthy. But can—or should—we be managing our own wealth? Our natural inclination is to succumb to the challenge of portfolio management and let an 'expert' deal with the problem. For a variety of reasons we discuss in this book, we should resist the gut reaction to hire experts. We suggest that investors maintain direct control, or at least a thorough understanding, of how their hard-earned wealth is managed. Our book is meant to be an educational journey that slowly builds confidence in one's own ability to manage a portfolio. We end our book with a potential solution that could be applicable to a wide-variety of investors, from the ultra-high net worth to middle class individuals, all of whom are focused on similar goals of preserving and growing their capital over time. DIY Financial Advisor is a unique resource. This book is the only comprehensive guide to implementing simple quantitative models that can beat the experts. And it comes at the perfect time, as the investment industry is undergoing a significant shift due in part to the use of automated investment strategies that do not require a financial advisor's involvement. DIY Financial Advisor is an essential text that guides you in making your money work for you—not for someone else!
| Author | : Jacques Lussier |
| Publisher | : CFA Institute Research Foundation |
| Total Pages | : 40 |
| Release | : 2016-10-10 |
| Genre | : Business & Economics |
| ISBN | : 1944960090 |
Download Portfolio Structuring and the Value of Forecasting Book in PDF, ePub and Kindle
| Author | : Dashan Huang |
| Publisher | : |
| Total Pages | : 41 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
Download Forecasting Stock Returns in Good and Bad Times Book in PDF, ePub and Kindle
This paper proposes a two-state predictive regression model and shows that stock market 12-month return (TMR), the time-series momentum predictor of Moskowitz, Ooi, and Pedersen (2012), forecasts the aggregate stock market negatively in good times and positively in bad times. The out-of-sample R-squares are 0.96% and 1.72% in good and bad times, or 1.28% and 1.41% in NBER economic expansions and recessions, respectively. The TMR predictability pattern holds in the cross-section of U.S. stocks and the international markets. Our study shows that the absence of return predictability in good times, an important finding of recent studies, is largely driven by the use of the popular one-state predictive regression model.
| Author | : Stefano Bonini |
| Publisher | : |
| Total Pages | : 50 |
| Release | : 2009 |
| Genre | : |
| ISBN | : |
Download The Effect of Analysts' Forecasts on Stock Market Returns Book in PDF, ePub and Kindle
Stock returns forecasting is one of the major objectives of financial analysts. Equity Analysts' forecasts, on the other side, are one of the major sources of information used by less informed investors in their asset allocation decisions. Therefore, analysing which major drivers affect time series of stock returns could allow to shed light over the price revelation process in capital markets. In this paper we propose a model aimed at predicting stock market by combining both macroeconomic and microeconomic factors. We first develop a standard APT approach with multiple macroeconomic factors as regressors. We then integrate the model by explicitly including a metric for intrinsic equity value, basing upon a proxy derived by the weighted average of Stock Market Consensus Forecasts by equity analysts. Third, we complete the model by imposing an ARMA specification for the error term, which allows identifying stock returns' stationarity moving over time. The resulting model shows both a strong fitting capability when tested in the in-sample period and a good predictive capability when applied to an out-of-sample period of monthly Italian stock market returns. In particular, we employed specific estimation procedures based upon recently developed statistics aimed at testing for both factors' equal predicting power and forecast encompassing. As a major empirical finding, our model suggests that the information conveyed by analysts' forecasts is indeed a factor in determining future stock prices, even if there is the possibility that the information transferred could be biased.
| Author | : John C. Bogle |
| Publisher | : John Wiley & Sons |
| Total Pages | : 391 |
| Release | : 2012-07-05 |
| Genre | : Business & Economics |
| ISBN | : 1118238214 |
Download The Clash of the Cultures Book in PDF, ePub and Kindle
Recommended Reading by Warren Buffet in his March 2013 Letter to Shareholders How speculation has come to dominate investment—a hard-hitting look from the creator of the first index fund. Over the course of his sixty-year career in the mutual fund industry, Vanguard Group founder John C. Bogle has witnessed a massive shift in the culture of the financial sector. The prudent, value-adding culture of long-term investment has been crowded out by an aggressive, value-destroying culture of short-term speculation. Mr. Bogle has not been merely an eye-witness to these changes, but one of the financial sector’s most active participants. In The Clash of the Cultures, he urges a return to the common sense principles of long-term investing. Provocative and refreshingly candid, this book discusses Mr. Bogle's views on the changing culture in the mutual fund industry, how speculation has invaded our national retirement system, the failure of our institutional money managers to effectively participate in corporate governance, and the need for a federal standard of fiduciary duty. Mr. Bogle recounts the history of the index mutual fund, how he created it, and how exchange-traded index funds have altered its original concept of long-term investing. He also presents a first-hand history of Wellington Fund, a real-world case study on the success of investment and the failure of speculation. The book concludes with ten simple rules that will help investors meet their financial goals. Here, he presents a common sense strategy that "may not be the best strategy ever devised. But the number of strategies that are worse is infinite." The Clash of the Cultures: Investment vs. Speculation completes the trilogy of best-selling books, beginning with Bogle on Investing: The First 50 Years (2001) and Don't Count on It! (2011)
| Author | : Graham Elliott |
| Publisher | : Elsevier |
| Total Pages | : 667 |
| Release | : 2013-08-23 |
| Genre | : Business & Economics |
| ISBN | : 0444627405 |
Download Handbook of Economic Forecasting Book in PDF, ePub and Kindle
The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. Focuses on innovation in economic forecasting via industry applications Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications Makes details about economic forecasting accessible to scholars in fields outside economics
| Author | : Roy Henriksson |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023-07-18 |
| Genre | : Business & Economics |
| ISBN | : 9781021216878 |
Download On Market Timing and Investment Performance Part II: Statistical Procedures for Evaluating Forecasting Skills Book in PDF, ePub and Kindle
| Author | : Laurence Fung |
| Publisher | : |
| Total Pages | : 30 |
| Release | : 2009 |
| Genre | : |
| ISBN | : |
Download Predicting Stock Market Returns by Combining Forecasts Book in PDF, ePub and Kindle
The predictability of stock market returns has been a challenge to market practitioners and financial economists. This is also important to central banks responsible for monitoring financial market stability. A number of variables have been found as predictors of future stock market returns with impressive in-sample results. Nonetheless, the predictive power of these variables has often performed poorly for out-of-sample forecast. This study utilises a new method known as quot;Aggregate Forecasting Through Exponential Re-weighting (AFTER)quot; to combine forecasts from different models and achieve better out-of-sample forecast performance from these variables. Empirical results suggest that, for longer forecast horizons, combining forecasts based on AFTER provides better out-of-sample predictions than the historical average return and also forecasts from models based on commonly used model selection criteria.
