New Determinants of Analysts’ Earnings Forecast Accuracy

New Determinants of Analysts’ Earnings Forecast Accuracy
Author: Tanja Klettke
Publisher: Springer Science & Business
Total Pages: 120
Release: 2014-04-28
Genre: Business & Economics
ISBN: 3658056347

Financial analysts provide information in their research reports and thereby help forming expectations of a firm’s future business performance. Thus, it is essential to recognize analysts who provide the most precise forecasts and the accounting literature identifies characteristics that help finding the most accurate analysts. Tanja Klettke detects new relationships and identifies two new determinants of earnings forecast accuracy. These new determinants are an analyst’s “general forecast effort” and the “number of supplementary forecasts”. Within two comprehensive empirical investigations she proves these measures’ power to explain accuracy differences. Tanja Klettke’s research helps investors and researchers to identify more accurate earnings forecasts.

Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)

Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)
Author: Cheng Few Lee
Publisher: World Scientific
Total Pages: 5053
Release: 2020-07-30
Genre: Business & Economics
ISBN: 9811202400

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Accounting for Income Taxes

Accounting for Income Taxes
Author: John R. Graham
Publisher: Now Pub
Total Pages: 176
Release: 2012-11-09
Genre: Business & Economics
ISBN: 9781601986122

Accounting for Income Taxes is the most comprehensive review of AFIT research. It is designed both to introduce new scholars to this field and to encourage active researchers to expand frontiers related to accounting for income taxes. Accounting for Income Taxes includes both a primer about the rules governing AFIT (Sections 3-4) and a review of the scholarly studies in the field (Sections 5-8). The primer uses accessible examples and clear language to express essential AFIT rules and institutional features. Section 3 reviews the basic rules and institutional details governing AFIT. Section 4 discusses ways that researchers, policymakers, and other interested parties can use the tax information in financial statements to better approximate information in the tax return. The second half of the monograph reviews the extant scholarly studies by splitting the research literature into four topics: earnings management, the association between book-tax differences and earnings characteristics, the equity market pricing of information in the tax accounts, and book-tax conformity. Section 5 focuses on the use of the tax accounts to manage earnings through the valuation allowance, the income tax contingency, and permanently reinvested foreign earnings. Section 6 discusses the association between book-tax differences and earnings characteristics, namely earnings growth and earnings persistence. Section 7 explores how tax information is reflected in share prices. Section 8 reviews the increased alignment of accounting for book purposes and tax purposes. The remainder of the paper focuses on topics of general interest in the economics and econometric literatures. Section 9 highlights some issues of general importance including a theoretical framework to interpret and guide empirical AFIT studies, the disaggregated components of book-tax differences and research opportunities as the U.S. moves toward International Financial Reporting Standards (IFRS). Section 10 discusses econometric weaknesses that are common in AFIT research and proposes ways to mitigate their deleterious effects.

Wall Street Research

Wall Street Research
Author: Boris Groysberg
Publisher: Stanford University Press
Total Pages: 200
Release: 2013-08-07
Genre: Business & Economics
ISBN: 0804787123

Wall Street Research: Past, Present, and Future provides a timely account of the dramatic evolution of Wall Street research, examining its rise, fall, and reemergence. Despite regulatory, technological, and global forces that have transformed equity research in the last ten years, the industry has proven to be remarkably resilient and consistent. Boris Groysberg and Paul M. Healy get to the heart of Wall Street research—the analysts engaged in the process—and demonstrate how the analysts' roles have evolved, what drives their performance today, and how they stack up against their buy-side counterparts. The book unpacks key trends and describes how different firms have coped with shifting pressures. It concludes with an assessment of where equity research is headed in emerging markets, drawing conclusions about this often overlooked corner of Wall Street and the industry's future challenges.

Superforecasting

Superforecasting
Author: Philip E. Tetlock
Publisher: Crown
Total Pages: 331
Release: 2015-09-29
Genre: Business & Economics
ISBN: 080413670X

NEW YORK TIMES BESTSELLER • NAMED ONE OF THE BEST BOOKS OF THE YEAR BY THE ECONOMIST “The most important book on decision making since Daniel Kahneman's Thinking, Fast and Slow.”—Jason Zweig, The Wall Street Journal Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week’s meals. Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught? In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters." In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic.

Analyzing the Analysts

Analyzing the Analysts
Author: United States. Congress. House. Committee on Financial Services. Subcommittee on Capital Markets, Insurance, and Government Sponsored Enterprises
Publisher:
Total Pages: 288
Release: 2001
Genre: Business & Economics
ISBN:

Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy

Determinants of Earnings Forecast Error, Earnings Forecast Revision and Earnings Forecast Accuracy
Author: Sebastian Gell
Publisher: Springer Science & Business Media
Total Pages: 144
Release: 2012-03-26
Genre: Business & Economics
ISBN: 3834939374

​Earnings forecasts are ubiquitous in today’s financial markets. They are essential indicators of future firm performance and a starting point for firm valuation. Extremely inaccurate and overoptimistic forecasts during the most recent financial crisis have raised serious doubts regarding the reliability of such forecasts. This thesis therefore investigates new determinants of forecast errors and accuracy. In addition, new determinants of forecast revisions are examined. More specifically, the thesis answers the following questions: 1) How do analyst incentives lead to forecast errors? 2) How do changes in analyst incentives lead to forecast revisions?, and 3) What factors drive differences in forecast accuracy?

Business Forecasting

Business Forecasting
Author: Michael Gilliland
Publisher: John Wiley & Sons
Total Pages: 435
Release: 2021-05-11
Genre: Business & Economics
ISBN: 1119782473

Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

Advances in Behavioral Finance

Advances in Behavioral Finance
Author: Richard H. Thaler
Publisher: Russell Sage Foundation
Total Pages: 628
Release: 1993-08-19
Genre: Business & Economics
ISBN: 9780871548443

Modern financial markets offer the real world's best approximation to the idealized price auction market envisioned in economic theory. Nevertheless, as the increasingly exquisite and detailed financial data demonstrate, financial markets often fail to behave as they should if trading were truly dominated by the fully rational investors that populate financial theories. These markets anomalies have spawned a new approach to finance, one which as editor Richard Thaler puts it, "entertains the possibility that some agents in the economy behave less than fully rationally some of the time." Advances in Behavioral Finance collects together twenty-one recent articles that illustrate the power of this approach. These papers demonstrate how specific departures from fully rational decision making by individual market agents can provide explanations of otherwise puzzling market phenomena. To take several examples, Werner De Bondt and Thaler find an explanation for superior price performance of firms with poor recent earnings histories in the tendencies of investors to overreact to recent information. Richard Roll traces the negative effects of corporate takeovers on the stock prices of the acquiring firms to the overconfidence of managers, who fail to recognize the contributions of chance to their past successes. Andrei Shleifer and Robert Vishny show how the difficulty of establishing a reliable reputation for correctly assessing the value of long term capital projects can lead investment analysis, and hence corporate managers, to focus myopically on short term returns. As a testing ground for assessing the empirical accuracy of behavioral theories, the successful studies in this landmark collection reach beyond the world of finance to suggest, very powerfully, the importance of pursuing behavioral approaches to other areas of economic life. Advances in Behavioral Finance is a solid beachhead for behavioral work in the financial arena and a clear promise of wider application for behavioral economics in the future.