NBER Macroeconomics Annual 2014 PDF Download
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Author: Jonathan A. Parker
Publisher: University of Chicago Press
ISBN: 022626887X
Category : Business & Economics
Languages : en
Pages : 444
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Book Description
The twenty-ninth edition of the NBER Macroeconomics Annual continues its tradition of featuring theoretical and empirical research on central issues in contemporary macroeconomics. Two papers in this year’s issue deal with recent economic performance: one analyzes the evolution of aggregate productivity before, during, and after the Great Recession, and the other characterizes the factors that have contributed to slow economic growth following the Great Recession. Another pair of papers tackles the role of information in business cycles. Other contributions address how assumptions about sluggish nominal price adjustment affect the consequences of different monetary policy rules and the role of business cycles in the long-run decline in the share of employment in middle-wage jobs. The final chapter discusses the advantages and disadvantages of the elimination of physical currency.
Author: Jonathan A. Parker
Publisher: University of Chicago Press
ISBN: 022626887X
Category : Business & Economics
Languages : en
Pages : 444
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Book Description
The twenty-ninth edition of the NBER Macroeconomics Annual continues its tradition of featuring theoretical and empirical research on central issues in contemporary macroeconomics. Two papers in this year’s issue deal with recent economic performance: one analyzes the evolution of aggregate productivity before, during, and after the Great Recession, and the other characterizes the factors that have contributed to slow economic growth following the Great Recession. Another pair of papers tackles the role of information in business cycles. Other contributions address how assumptions about sluggish nominal price adjustment affect the consequences of different monetary policy rules and the role of business cycles in the long-run decline in the share of employment in middle-wage jobs. The final chapter discusses the advantages and disadvantages of the elimination of physical currency.
Author: Anatoly B Schmidt
Publisher: World Scientific
ISBN: 9811239517
Category : Business & Economics
Languages : en
Pages : 353
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Book Description
This book will satisfy the demand among college majors in Finance and Financial Engineering, and mathematically-versed practitioners for description of both the classical approaches to equity investing and new investment strategies scattered in the periodic literature. Besides the major portfolio management theories (mean variance theory, CAPM, and APT), the book addresses several important topics: portfolio diversification, optimal ESG portfolios, factor models (smart betas), robust portfolio optimization, risk-based asset allocation, statistical arbitrage, alternative data based investing, back-testing of trading strategies, modern market microstructure, algorithmic trading, and agent-based modeling of financial markets. The book also includes the basic elements of time series analysis in the Appendix for self-contained presentation of the material. While the book covers technical concepts and models, it will not overburden the reader with math beyond the Finance undergraduates' curriculum.
Author: John R. Birge
Publisher: Elsevier
ISBN: 9780080553252
Category : Business & Economics
Languages : en
Pages : 1026
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Book Description
The remarkable growth of financial markets over the past decades has been accompanied by an equally remarkable explosion in financial engineering, the interdisciplinary field focusing on applications of mathematical and statistical modeling and computational technology to problems in the financial services industry. The goals of financial engineering research are to develop empirically realistic stochastic models describing dynamics of financial risk variables, such as asset prices, foreign exchange rates, and interest rates, and to develop analytical, computational and statistical methods and tools to implement the models and employ them to design and evaluate financial products and processes to manage risk and to meet financial goals. This handbook describes the latest developments in this rapidly evolving field in the areas of modeling and pricing financial derivatives, building models of interest rates and credit risk, pricing and hedging in incomplete markets, risk management, and portfolio optimization. Leading researchers in each of these areas provide their perspective on the state of the art in terms of analysis, computation, and practical relevance. The authors describe essential results to date, fundamental methods and tools, as well as new views of the existing literature, opportunities, and challenges for future research.
Author: John H. Cochrane
Publisher: Now Publishers Inc
ISBN: 1933019158
Category : Business & Economics
Languages : en
Pages : 117
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Book Description
Financial Markets and the Real Economy reviews the current academic literature on the macroeconomics of finance.
Author: Marno Verbeek
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110660814
Category : Business & Economics
Languages : en
Pages : 284
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Book Description
Financial data are typically characterised by a time-series and cross-sectional dimension. Accordingly, econometric modelling in finance requires appropriate attention to these two – or occasionally more than two – dimensions of the data. Panel data techniques are developed to do exactly this. This book provides an overview of commonly applied panel methods for financial applications, including popular techniques such as Fama-MacBeth estimation, one-way, two-way and interactive fixed effects, clustered standard errors, instrumental variables, and difference-in-differences. Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications by Marno Verbeek offers the reader: Focus on panel methods where the time dimension is relatively small A clear and intuitive exposition, with a focus on implementation and practical relevance Concise presentation, with many references to financial applications and other sources Focus on techniques that are relevant for and popular in empirical work in finance and accounting Critical discussion of key assumptions, robustness, and other issues related to practical implementation
Author: David Dümig
Publisher: GRIN Verlag
ISBN: 3346106551
Category : Business & Economics
Languages : en
Pages : 103
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Book Description
Academic Paper from the year 2019 in the subject Business economics - Investment and Finance, , language: English, abstract: We conduct a comparative analysis of methods in the machine learning repertoire, including penalized linear models, generalized linear models, boosted regression trees, random forests, and neural networks, that investors can deploy to forecast the cross-section of stock returns. Gaining more widespread use in economics, machine learning algorithms have demonstrated the ability to reveal complex, nonlinear patterns that are difficult or largely impossible to detect with conventional statistical methods and are often more robust to the effects of multi-collinearity among predictors. We provide new evidence that machine learning techniques can improve the economic value of cross-sectional return forecasts. The implications of machine learning for quantitative finance are becoming both increasingly apparent and controversial. There is a growing discussion over whether machine learning tools can and should be applied to predict stock returns with greater precision. Broadly speaking, models that can be used to explain the returns of individual stocks draw on stock and firm characteristics, such as the market price of financial instruments and companies' accounting data. These characteristics can also be used to predict expected returns out-of-sample.
Author: Turan G. Bali
Publisher: John Wiley & Sons
ISBN: 1118589661
Category : Business & Economics
Languages : en
Pages : 512
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Book Description
“Bali, Engle, and Murray have produced a highly accessible introduction to the techniques and evidence of modern empirical asset pricing. This book should be read and absorbed by every serious student of the field, academic and professional.” Eugene Fama, Robert R. McCormick Distinguished Service Professor of Finance, University of Chicago and 2013 Nobel Laureate in Economic Sciences “The empirical analysis of the cross-section of stock returns is a monumental achievement of half a century of finance research. Both the established facts and the methods used to discover them have subtle complexities that can mislead casual observers and novice researchers. Bali, Engle, and Murray’s clear and careful guide to these issues provides a firm foundation for future discoveries.” John Campbell, Morton L. and Carole S. Olshan Professor of Economics, Harvard University “Bali, Engle, and Murray provide clear and accessible descriptions of many of the most important empirical techniques and results in asset pricing.” Kenneth R. French, Roth Family Distinguished Professor of Finance, Tuck School of Business, Dartmouth College “This exciting new book presents a thorough review of what we know about the cross-section of stock returns. Given its comprehensive nature, systematic approach, and easy-to-understand language, the book is a valuable resource for any introductory PhD class in empirical asset pricing.” Lubos Pastor, Charles P. McQuaid Professor of Finance, University of Chicago Empirical Asset Pricing: The Cross Section of Stock Returns is a comprehensive overview of the most important findings of empirical asset pricing research. The book begins with thorough expositions of the most prevalent econometric techniques with in-depth discussions of the implementation and interpretation of results illustrated through detailed examples. The second half of the book applies these techniques to demonstrate the most salient patterns observed in stock returns. The phenomena documented form the basis for a range of investment strategies as well as the foundations of contemporary empirical asset pricing research. Empirical Asset Pricing: The Cross Section of Stock Returns also includes: Discussions on the driving forces behind the patterns observed in the stock market An extensive set of results that serve as a reference for practitioners and academics alike Numerous references to both contemporary and foundational research articles Empirical Asset Pricing: The Cross Section of Stock Returns is an ideal textbook for graduate-level courses in asset pricing and portfolio management. The book is also an indispensable reference for researchers and practitioners in finance and economics. Turan G. Bali, PhD, is the Robert Parker Chair Professor of Finance in the McDonough School of Business at Georgetown University. The recipient of the 2014 Jack Treynor prize, he is the coauthor of Mathematical Methods for Finance: Tools for Asset and Risk Management, also published by Wiley. Robert F. Engle, PhD, is the Michael Armellino Professor of Finance in the Stern School of Business at New York University. He is the 2003 Nobel Laureate in Economic Sciences, Director of the New York University Stern Volatility Institute, and co-founding President of the Society for Financial Econometrics. Scott Murray, PhD, is an Assistant Professor in the Department of Finance in the J. Mack Robinson College of Business at Georgia State University. He is the recipient of the 2014 Jack Treynor prize.
Author: Christopher S. Chapman
Publisher: Elsevier
ISBN: 0080879306
Category : Business & Economics
Languages : en
Pages : 1584
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Book Description
Winner of the Management Accounting section of the American Accounting Association notable contribution to Management Accounting Literature AwardVolume One of the Handbook of Management Accounting Research series sets the context for the Handbooks, with three chapters outlining the historical development of management accounting as a discipline and as a practice in three broad geographic settings.Volume Two provides insights into research on different management accounting practices. Volume Three features contributions from some of the most influential researchers in various areas of management accounting research, consolidates the content of volumes one and two, and concludes with examples of management accounting research from around the world.Volumes 1, 2 and 3 are also available as individual product. * ISBN Volume 1: 978-0-08-044564-9* ISBN Volume 2: 978-0-08-044754-4* ISBN Volume 3: 978-0-08-055450-1 - Three volumes of the popular Handbooks of Management Accounting Research series now available in one complete set - Examines particular management accounting practices and specific organizational contexts - Adopts a global perspective of management accounting practice - Award: "Winner of the Management Accounting section of the American Accounting Association notable contribution to Management Accounting Literature Award."
Author: Sri Krishna Arts and Science College
Publisher: Archers & Elevators Publishing House
ISBN: 9383241209
Category : Antiques & Collectibles
Languages : en
Pages :
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Book Description
Author: Nate Silver
Publisher: Penguin
ISBN: 0143125087
Category : Political Science
Languages : en
Pages : 577
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Book Description
"One of the more momentous books of the decade." —The New York Times Book Review Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the “prediction paradox”: The more humility we have about our ability to make predictions, the more successful we can be in planning for the future. In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball to global pandemics, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good—or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary—and dangerous—science. Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise. With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver’s insights are an essential read.
