Optimal Tax-Timing with Transaction Costs

40 Pages Posted: 15 Oct 2024 Last revised: 31 Dec 2024

See all articles by Min Dai

Min Dai

The Hong Kong Polytechnic University

Yaoting Lei

Nanchang University - School of Economics and Management

Hong Liu

Washington University in St. Louis - Olin Business School; Fudan University - China Institute of Economics and Finance

Chen Yang

The Chinese University of Hong Kong (CUHK) - Department of Systems Engineering and Engineering Management

Date Written: December 31, 2024

Abstract

We develop a dynamic portfolio model incorporating capital gains tax (CGT), transaction costs, and year-end taxation. We find that even tiny transaction costs can lead to significant deferral of large losses and transaction costs affect loss deferrals much more than gain deferrals. Our model can thus help explain the puzzle that even when investors face  equal long-term/short-term CGT rates, they may still defer realizing large capital losses for an extended period of time, displaying the disposition effect. In addition, we find misestimating transaction costs is costly. We also provide several unique, empirically testable predictions and shed light on recently proposed tax policy changes.

Keywords: portfolio choice, capital gains tax, transaction costs, delayed tax

JEL Classification: G11, H24, K34, D91

Suggested Citation

Dai, Min and Lei, Yaoting and Liu, Hong and Yang, Chen, Optimal Tax-Timing with Transaction Costs (December 31, 2024). Available at SSRN: https://ssrn.com/abstract=4952040 or http://dx.doi.org/10.2139/ssrn.4952040

Min Dai

The Hong Kong Polytechnic University ( email )

Yaoting Lei

Nanchang University - School of Economics and Management ( email )

999 Xuefu Road
Nanchang, Jiangxi 330031
China

Hong Liu

Washington University in St. Louis - Olin Business School ( email )

One Brookings Drive
Campus Box 1133
St. Louis, MO 63130-4899
United States
314-935-5883 (Phone)

Fudan University - China Institute of Economics and Finance ( email )

China

Chen Yang (Contact Author)

The Chinese University of Hong Kong (CUHK) - Department of Systems Engineering and Engineering Management ( email )

Hong Kong
China

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