Strategic vendor due diligence in real estate transactions

IF 1.3 Q3 BUSINESS, FINANCE
G. Wiejak-Roy
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引用次数: 1

Abstract

PurposeIn light of the ever-growing complexity of real estate transactions, the need for vendors and buyers to better understand the role of vendor due diligence (VDD) is imperative. The purpose of this paper is twofold: firstly, it provides a detailed literature review regarding the role of VDD from both the vendor's and buyers' perspectives. Secondly, it analyses the value of VDD over and above the buyer's due diligence (BDD) in real estate transactions by proposing a theoretical model involving two-stage auctions.Design/methodology/approachReal-world examples from the industry are used as a motivation behind listing a set of practical questions. A theoretical construct is built to approximate the real estate environment under study. The construct is then studied from a game-theoretic perspective to obtain theoretical answers to the questions. These answers are then used to shape recommendations for the relevant industry and beyond.FindingsThe model suggested accommodates the feature that even though the VDD is broadly increasing informational efficiency in the market, its value is limited and sometimes harmful when the vendors have a sound prior understanding of their assets and the buyers' pre-transaction information about the asset is already high.Originality/valueThough the real estate market is considered here, the theoretical model we propose is applicable to any other complex asset transaction decision that supports endogenous information disclosure considerations using VDD.
房地产交易中的战略供应商尽职调查
鉴于房地产交易日益复杂,卖方和买方有必要更好地了解卖方尽职调查(VDD)的作用。本文的目的有两个:首先,从供应商和买家的角度对VDD的作用进行了详细的文献综述。其次,通过提出一个涉及两阶段拍卖的理论模型,分析了买方尽职调查(BDD)之外的买方尽职调查在房地产交易中的价值。设计/方法论/方法来自行业的真实案例被用作列出一系列实际问题的动机。在此基础上,建立了一个理论结构来近似地描述所研究的房地产环境。然后从博弈论的角度对该结构进行研究,以获得问题的理论答案。然后,这些答案被用来为相关行业和其他行业提供建议。该模型考虑到尽管VDD在市场上广泛地提高了信息效率,但当卖方对其资产有良好的事先了解而买方对资产的交易前信息已经很高时,其价值是有限的,有时是有害的。原创性/价值虽然这里考虑的是房地产市场,但我们提出的理论模型适用于任何其他复杂的资产交易决策,支持使用VDD的内生信息披露考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.10
自引率
7.70%
发文量
18
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