The Accuracy of Analyst Earnings Forecasts Subsequent to Large Corporate Mergers PDF Download
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Author: Brian Clark
Publisher:
ISBN:
Category : Consolidation and merger of corporations
Languages : en
Pages : 86
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Book Description
Author: Brian Clark
Publisher:
ISBN:
Category : Consolidation and merger of corporations
Languages : en
Pages : 86
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Gordian A. Ndubizo
Publisher:
ISBN:
Category : Business forecasting
Languages : en
Pages : 22
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Book Description
Author: Chi-Chun Liu
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
We compare the accuracy of analyst (I/B/E/S consensus) and earnings-to-price ratio (E/P)-based forecasts of annual earnings across firms. We find that generalizations of Beaver Lambert and Morse's (BLM 1980) E/P-based forecasting model are more accurate than analyst forecasts both for most firms and on average though analyst forecasts are more accurate for the two lowest and the highest E/P decile firms. This result reflects prior research's finding that analyst forecasts are biased and do not fully incorporate the implications of the current annual price and earnings changes for future earnings. Only when the errors in analyst forecasts due to these sources comprise a relatively unimportant portion of the subsequent earnings change (i.e. in the extreme E/P deciles) do analysts beat E/P-based models.
Author: Lawrence D. Brown
Publisher:
ISBN:
Category :
Languages : en
Pages : 13
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Book Description
Author: Richard H. Bushnell
Publisher:
ISBN:
Category :
Languages : en
Pages : 88
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Book Description
Author: Tanja Klettke
Publisher: Springer Science & Business
ISBN: 3658056347
Category : Business & Economics
Languages : en
Pages : 120
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Book Description
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.
Author: Cheng Few Lee
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053
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Book Description
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.
Author: R. Glenn Hubbard
Publisher: University of Chicago Press
ISBN: 0226355942
Category : Business & Economics
Languages : en
Pages : 354
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Book Description
In this volume, specialists from traditionally separate areas in economics and finance investigate issues at the conjunction of their fields. They argue that financial decisions of the firm can affect real economic activity—and this is true for enough firms and consumers to have significant aggregate economic effects. They demonstrate that important differences—asymmetries—in access to information between "borrowers" and "lenders" ("insiders" and "outsiders") in financial transactions affect investment decisions of firms and the organization of financial markets. The original research emphasizes the role of information problems in explaining empirically important links between internal finance and investment, as well as their role in accounting for observed variations in mechanisms for corporate control.
Author: Yasuyuki Fuchita
Publisher: Brookings Institution Press
ISBN: 0815729820
Category : Business & Economics
Languages : en
Pages : 216
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Book Description
A Brookings Institution Press and Nomura Institute of Capital Markets Research publication Developed country capital markets have devised a set of institutions and actors to help provide investors with timely and accurate information they need to make informed investment decisions. These actors have become known as "financial gatekeepers" and include auditors, financial analysts, and credit rating agencies. Corporate financial reporting scandals in the United States and elsewhere in recent years, however, have called into question the sufficiency of the legal framework governing these gatekeepers. Policymakers have since responded by imposing a series of new obligations, restrictions, and punishments—all with the purpose of strengthening investor confidence in these important actors. Financial Gatekeepers provides an in-depth look at these new frameworks, especially in the United States and Japan. How have they worked? Are further refinements appropriate? These are among the questions addressed in this timely and important volume. Contributors include Leslie Boni (University of New Mexico), Barry Bosworth (Brookings Institution), Tomoo Inoue (Seikei University), Zoe-Vonna Palmrose (University of Southern California), Frank Partnoy (University of San Diego School of Law), George Perry (Brookings Institution), Justin Pettit (UBS), Paul Stevens (Investment Company Institute), Peter Wallison (American Enterprise Institute).
