Integrating Earnings Forecasts, Valuation, and Return Prediction
Home > Business and Economics > Finance and accounting > Accounting > Integrating Earnings Forecasts, Valuation, and Return Prediction: A Unified Framework(Contributions to Finance and Accounting)
Integrating Earnings Forecasts, Valuation, and Return Prediction: A Unified Framework(Contributions to Finance and Accounting)

Integrating Earnings Forecasts, Valuation, and Return Prediction: A Unified Framework(Contributions to Finance and Accounting)


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

This book addresses equity (enterprise) valuation and provides practical tools for investors and analysts. It presents a unified framework for forecasting future earnings, estimating intrinsic values, and deriving a proxy for expected returns. The author offers indicators of temporary mispricing and expected returns to investors in real time. Each chapter is connected by a central idea: the value of equity and forecasts of future earnings are intrinsically linked in a simple, linear fashion. In line with long-standing capital market practices, the key to implementation lies in using benchmark industry averages of valuation parameters to assess an individual company within its industry. Importantly, all relevant industry-level valuation parameters are estimated simultaneously within the model framework. This results in a cohesive system for forecasting one-year-ahead earnings, valuing equity, and predicting returns—all within a unified framework. This approach stands in contrast to traditional discounted cash flow (DCF) methods, where investment practitioners typically forecast future cash flows (dividends or earnings) and estimate the discount rate separately. The book appeals not only to academics, but also provides practical insights for investment professionals, including fund managers engaged in stock-picking, business managers involved in M&A and IPO activities, and corporate managers making capital budgeting decisions.

Table of Contents:
Introduction.- The no-arbitrage assumption and the dividend discount model.- Earnings-based valuation models and effects of conservatism.- Future earnings and the intrinsic value of equity.- Incorporate market information in valuation of individual  firms and predicting returns.- Enterprise valuation in a unified framework.

About the Author :
Pengguo Wang is a professor of finance and accounting at the University of Exeter (UK). He received his PhD in Finance at Strathclyde University. Prior to joining the University of Exeter, he was a faculty member at Imperial College London and Bristol University (UK). Pengguo has been invited to give talks to the City of London for investment, accounting and legal practitioners on valuation. He has been involved with training through professional accounting associations such as the Institute of Chartered Accountants in England and Wales (ICAEW). Pengguo has researched and published extensively in the areas of capital markets, financial reporting, derivative pricing and stock valuation. His research, teaching and consulting interests are at the interface of finance and accounting. His current research interests are focused on cost of capital, equity risk premium, market anomalies and fundamental valuation models and applications of machine learning, with particular reference to the links between financial statement information, risk and equity returns. His research has financially sponsored by ESRC, KPMG, ACCA, and The Institute for Quantitative Investment Research (INQUIRE-UK) and other grants.


Best Sellers


Product Details
  • ISBN-13: 9783032059093
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • Height: 235 mm
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Sub Title: A Unified Framework
  • ISBN-10: 3032059097
  • Publisher Date: 01 Nov 2025
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: Contributions to Finance and Accounting
  • Width: 155 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Integrating Earnings Forecasts, Valuation, and Return Prediction: A Unified Framework(Contributions to Finance and Accounting)
Springer Nature Switzerland AG -
Integrating Earnings Forecasts, Valuation, and Return Prediction: A Unified Framework(Contributions to Finance and Accounting)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Integrating Earnings Forecasts, Valuation, and Return Prediction: A Unified Framework(Contributions to Finance and Accounting)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!