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The unbearable lightness of valuing companies in IPOs: who got it right in DoorDash Inc.'s IPO?
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Resumo(s)
The valuation of companies in anticipation of their Initial Public Offerings (IPOs) poses a significant challenge, particularly when it involves high-growth, non-profitable startups.
This thesis examines the evolution of the valuation of DoorDash Inc. through its successive funding rounds leading up to the IPO, followed by the substantial first-day rally of the stock, which saw an 85% increase from its IPO price on its debut, against the backdrop of its significant underpricing speculation.
Our focus is on how much of DoorDash’s IPO valuation and first-day rally were the result of realistic forecasting of its future business performance, and how much was influenced by the different and in some cases opposite interests of the stakeholders involved, including the founders, underwriters, and investors.
We explore the intersection between traditional valuation methods, such as Discounted Cash Flows and Comparables Analysis, and behavioral economics to try to explain the market dynamics at play during the IPO. We look into the role of underwriters in potentially underpricing the IPO to benefit from the surge in stock prices post-listing and we dive into investor psychology, particularly how behavioral biases like FOMO and herd behavior may have influenced the stock's performance on its first day of
trading.
Our analysis is designed to shed some light onto the understanding of the implications of IPO valuations on company strategy, investor returns, and market perception. We aim to contribute to a deeper understanding of the complex motivations and outcomes associated with IPO valuations, particularly in the tech sector, providing insights for stakeholders in future high-stakes public offerings.
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Initial Public Offerings (IPOs) Company Valuation Behavioral Economics Underpricing in IPOs Investor Psychology Discounted Cash Flow (DCF) Comparables Analysis Stock Market Dynamics Tech Startups Market Speculation Financial Forecasting Stakeholder Interests Herd Behavior FOMO Optimism Bias DoorDash Inc.