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{ "item_title" : "Financial Forecasting", "item_author" : [" John B. Guerard Jr", "Dimitrios Thomakos", "Foteini Kyriazi "], "item_description" : "Financial forecasting is an integral element to creating effective financial management and portfolio selection decision-making. In this volume, the authors report financial modelling results to corporate financial policies of forecasting sales and earnings, which are key inputs to dividend policy, capital investment, stock buybacks, and optimal debt policy. Financial forecasts of earnings enhance portfolio selection in US, Japanese, global, and emerging market portfolios. The book reports how the financial forecasting models of Clive Granger and David Hendry, and their associates, can be employed to effectively implement the portfolio selection models of Harry Markowitz, Bill Sharpe, and Martin Gruber, and Ed Elton.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/19/894/558/0198945582_b.jpg", "price_data" : { "retail_price" : "135.00", "online_price" : "135.00", "our_price" : "135.00", "club_price" : "135.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Financial Forecasting|John B. Guerard Jr

Financial Forecasting

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Overview

Financial forecasting is an integral element to creating effective financial management and portfolio selection decision-making. In this volume, the authors report financial modelling results to corporate financial policies of forecasting sales and earnings, which are key inputs to dividend policy, capital investment, stock buybacks, and optimal debt policy. Financial forecasts of earnings enhance portfolio selection in US, Japanese, global, and emerging market portfolios. The book reports how the financial forecasting models of Clive Granger and David Hendry, and their associates, can be employed to effectively implement the portfolio selection models of Harry Markowitz, Bill Sharpe, and Martin Gruber, and Ed Elton.

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Details

  • ISBN-13: 9780198945581
  • ISBN-10: 0198945582
  • Publisher: Oxford University Press
  • Publish Date: November 2026
  • Page Count: 304

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