Improving US real estate returns with cost segregation

Author:

Roten Ivan C.,Johnston Jarrod G.

Abstract

Purpose US taxing authorities allow property investment to be separated into components. The purpose of this paper is to demonstrate how the classification of property affects the amount and timing of depreciation. Increased and accelerated depreciation increases after-tax cash flows and investor returns. Design/methodology/approach This paper explains traditional methods to analyze real estate investments and introduces modified methods that include the effect of taxes to improve the estimate of the potential return to the investor. Commonly used property classification methods are evaluated and projections are used to demonstrate the impact on investor returns. Findings Modified methods may improve return estimates and appropriately classifying property improves investor returns. Practical implications After-tax cash flows should be used to analyze potential real estate investments and properties should be accurately classified to maximize returns. Originality/value This paper demonstrates how to analyze real estate investments and maximize returns.

Publisher

Emerald

Subject

General Economics, Econometrics and Finance,Finance,General Business, Management and Accounting,General Economics, Econometrics and Finance,Finance,General Business, Management and Accounting

Reference10 articles.

1. Valuing the land component of improved investment property;Journal of Property Investment and Finance,2012

2. How taxes and required returns drove commercial real estate valuations of the past four decades;National Tax Journal,2017

3. Apportionment in property valuation: should we separate the inseparable?;Journal of Property Investment and Finance,2005

4. Real estate for the long term: the effect of return predictability on long-horizon allocations;Real Estate Economics,2009

5. Major developments in cost segregation;Tax Advisor,2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3