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Philip J. Lee

Researcher at University of Sydney

Publications -  16
Citations -  1447

Philip J. Lee is an academic researcher from University of Sydney. The author has contributed to research in topics: Initial public offering & Quality audit. The author has an hindex of 13, co-authored 16 publications receiving 1402 citations.

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Business Analysis and Valuation : Using Financial Statements

TL;DR: In this paper, the authors present a framework for business analysis and valuation using financial statement data. But they focus on the why and how of accounting, rather than the how and why of accounting.
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Australian IPO pricing in the short and long run

TL;DR: In this paper, the authors analyse both initial underpricing and post-listing returns for Australian IPOs and find that there is a curvilinear relationship between initial and subsequent returns, although the economic significance of the relationship is low.
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The association between audit quality, accounting disclosures and firm-specific risk: Evidence from initial public offerings

TL;DR: In this article, the authors show that firms that provide an earnings forecast within the offer document are significantly more likely to use a high quality auditor, consistent with the signaling role of auditor attestation being at least partially dependent on the extent of voluntary, audited disclosures.
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IPO Underpricing Explanations: Implications from Investor Application and Allocation Schedules

TL;DR: In this paper, the authors show that large investors tend to preferentially request participation in IPOs with higher initial returns, consistent with these investors being better informed, and also show that inferences based exclusively on application strategies are quite different from those drawn on investor allocations.

IPO Underpricing Explanations: Implications from Investor Application and Allocation

TL;DR: In this paper, the authors show that large investors tend to preferentially request participation in IPOs with higher initial returns, consistent with these investors being better informed, and also show that inferences based exclusively on application strategies are quite different from those drawn on investor allocations.