The Market Model Applied to European Common Stocks: Some Empirical Results
Language: English
Published by Forgotten Books, 2018
- Softcover
- New
Seller: Forgotten Books, London, United KingdomForgotten Books
AbeBooks seller since June 2, 2021
Condition: New
£ 13.81
Quantity: Over 20 available
Add to basketItem description from seller
Print on Demand. This book probes the relationship between a market index and share prices of individual companies. Using advanced mathematics, the author assesses the validity of the 'market model' by testing its assumptions against real-world data. Using over 200 companies in seven European countries and the USA, the data is analysed across different time periods and different methods of return measurement. The findings show that the market model and its assumptions are robust even across different countries, with some key differences indicating areas where the model might be refined. The book provides insights into the complex relationship between market movements and company returns, making it a valuable resource for investors, analysts, and academics seeking to understand and predict stock market behaviour. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.…
Seller Inventory # 9781333735272_0
- Title
- The Market Model Applied to European Common Stocks: Some Empirical Results
- Author
- Gerald A. Pogue, Bruno H. Solnik
- Publisher
- Forgotten Books
- Publication year
- 2018
- Condition
- New
- Book Type
- print-on-demand item
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1333735278
- ISBN 13
- 9781333735272
- Seller catalogs
- Statistics
The book presents an empirical test of the market model and CAPM by examining how security risk premiums relate to their systematic risk, using data from 228 European stocks across seven countries plus a comparison set of 65 American stocks from 1966 to 1971. It explains how beta measures the market-related risk of each security and how the model’s predictions hold up under real-world conditions.
Two short chapters frame the scope and value: one explains the data base and how prices, dividends, and market indexes are prepared for analysis; the other discusses methodological choices that affect parameter estimates, such as interval length and data quality. The discussion helps readers understand why results may vary with daily, weekly, bi-weekly, or monthly returns.
- Learn how beta and risk premiums are estimated and interpreted
- See how CAPM expectations compare with observed security returns
- Understand data preparation, including adjustments for splits and dividends
- Explore how return interval and measurement errors influence findings
Ideal for readers of empirical finance, market researchers, and students seeking a clear view of how market models perform in real markets.
"Synopsis" may belong to another edition of this title.
Forgotten Books
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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.
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Forgotten Books publishes hundreds of thousands of rare and classic books.
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
This text has been digitally restored from a historical edition. Some errors may persist, however we consider it worth publishing due to the work's historical value.
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