The Relation Between Stock Returns and Earnings PDF Download
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Author: Gita Rama Rao
Publisher:
ISBN:
Category : Stocks
Languages : en
Pages : 121
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Book Description
Author: AICPA
Publisher: John Wiley & Sons
ISBN: 1945498870
Category : Business & Economics
Languages : en
Pages : 800
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Book Description
Updated for new accounting and auditing guidance issued, this valuable tool provides hundreds of high quality disclosure examples from carefully selected U.S. companies of different sizes, across industries such as banking, credit and insurance, communication services, and healthcare from such organizations as Scotts Miracle-Gro, Coca-Cola, Caterpillar, and BB&T. Illustrations of the most important, immediate, and challenging disclosures, such as derivatives and hedging, consolidations, and fair value measurement are provided. Hot topics include statement of cash flows, going concern, and business combinations and intangibles. This edition also provides clear, direct guidance to help you understand and comply with all significant reporting requirements and detailed indexes to help you quickly find exactly what you need.
Author: Gita Rama Rao
Publisher:
ISBN:
Category : Stocks
Languages : en
Pages : 121
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Book Description
Author: Gita R. Rao
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 32
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Book Description
Author: Elroy Dimson
Publisher: CUP Archive
ISBN: 9780521341042
Category : Business & Economics
Languages : en
Pages : 328
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Book Description
Author: Stijn Claessens
Publisher: World Bank Publications
ISBN:
Category : Rate of return
Languages : en
Pages : 28
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Book Description
Author: Mathias Külpmann
Publisher: Springer Science & Business Media
ISBN: 3540247653
Category : Business & Economics
Languages : en
Pages : 233
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Book Description
Mathias Külpmann presents a framework to evaluate whether the stock market is in line with underlying fundamentals. The new and revised edition offers an up to date introduction to the controversy between rational asset pricing and behavioural finance. Empirical evidence of stock market overreaction are investigated within the paradigms of rational asset pricing and behavioural finance. Although this monograph will not promise the reader to become a millionaire, it offers a road to obtain a deeper understanding of the forces which drive stock returns. It should be of interest to anyone interested in what drives performance in the stock market.
Author: Scott I. Jerris
Publisher:
ISBN:
Category :
Languages : en
Pages : 105
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Book Description
Author: Roger G. Ibbotson
Publisher:
ISBN: 9781556232312
Category : Actions (Titres de société) - Prix - Prévision
Languages : en
Pages : 202
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Book Description
Author: Peng-Chia Chiu
Publisher:
ISBN: 9781303167850
Category :
Languages : en
Pages : 137
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Book Description
This dissertation includes three chapters, which are about empirical investigation of the return earnings relation. Chapter 1 explores the differential timing in stock price incorporation of industry and firm-specific earnings. I find that on average stock returns anticipate industry revenue and expense components earlier than the respective firm-specific components. Further analysis shows that the timing difference between industry versus firm-specific information about revenue or expense is inversely related to product market competition and accounting reporting quality. Additionally, the timing difference between industry versus firm-specific information about expense line-items varies across line-items. Overall, these results aid in our understanding of the price discovery process with respect to accounting earnings information. Chapter 2 examines a new dimension, the effect of seasonality, on the relation between expected earnings (EE) and subsequent price drift. The key finding is that the relation between EE proxied by analyst forecasts and future returns is positive in non-January months but negative in January. This reverse January relation is observed among different types of stocks, domestic and international markets, and cannot be explained away by other variables associated with January returns. Further analysis suggests that the reverse January relation is a result of a temporary price drift away from fundamental value. The results illustrate the importance of controlling for the calendar-time dimension when studying market efficiency with respect to expected earnings. Chapter 3 investigates whether seasonally-differenced quarterly gross margin, a component of earnings, predicts future stock returns incremental to previously documented pricing anomalies based on financial accounting variables. A long/short trading strategy based on the gross profit surprises yields monthly returns over 115 basis points and generates positive returns in 113 out of 136 calendar quarters spanning 1977-2010. Further analysis shows that the return spread is larger for firms in industries characterized by low levels of capital expenditures and R & D intensity. Since 2000, gross profit surprise hedge portfolios yield returns of 91 basis points per month compared to 42 basis points per month for earnings surprise-based hedge strategies. The results suggest that gross margin contains information about future core profitability that is incremental to reported earnings and that information is reflected in stock prices with a delay.
Author: Kenneth L. Fisher
Publisher: McGraw Hill Professional
ISBN: 0071596305
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
Target the Super Stocks that deliver huge returns One of the most successful investing books ever published, Super Stocks showed investors how to use innovative techniques and fundamental analysis for valuing stocks and predicting future profit margins. You'll gain valuable insight into Fisher's original thinkin for valuing stocks and predicting future profit margins. A pioneer in the use of the Price Sales Ratio-a powerful analytical tool-Fisher regales readers with instructive tales of the businesses he invested in and profited from. Super Stocks gives a historical perspective on how Fisher successfully researched companies and stocks—who he saw and what he asked—to get a better read on profitable returns. “As rich in investment war stories as it is in knowledge.”-The Motley Fool
