{ "item_title" : "M&A Financial Modeling in Excel", "item_author" : [" Danny Munrow", "Alexander Holt "], "item_description" : "Reactive PublishingM&A Financial Modeling in Excel is a practical guide to building, interpreting, and refining merger and acquisition models for corporate finance, investment banking, private equity, and financial analysis.This book walks through the core components of M&A modeling with a focus on clear structure, defensible assumptions, and practical Excel-based workflows. Readers will learn how to evaluate transaction economics, model accretion and dilution, estimate revenue and cost synergies, incorporate purchase accounting adjustments, and assess deal valuation across different transaction scenarios.Inside, the book covers: The structure and purpose of M&A financial modelsAccretion-dilution analysis for earnings impactDeal consideration, purchase price, and financing assumptionsRevenue synergies, cost synergies, and integration timingPurchase accounting adjustments and balance sheet treatmentPro forma income statements and combined company analysisSensitivity tables for key transaction assumptionsDeal valuation using comparable companies, precedent transactions, and DCF outputsCommon modeling errors and review checksDesigned for analysts, finance professionals, MBA students, and self-directed learners, this book provides a structured approach to understanding how acquisition models are built and how transaction assumptions flow through financial statements.Whether you are preparing for a finance role, improving your Excel modeling skills, or building a stronger foundation in corporate transactions, M&A Financial Modeling in Excel offers a practical framework for analyzing deals with clarity and discipline.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/819/687/9798196872334_b.jpg", "price_data" : { "retail_price" : "37.99", "online_price" : "37.99", "our_price" : "37.99", "club_price" : "37.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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