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Tai Lo Yeung Tai Lo Yeung

Iam a PhD candidate in the Department of Economics at USI. I received my bachelor’s degree in financial engineering from 武漢大學 (WHU) in 2014, a master’s degree in economics from 香港科大商學院 (HKUST Business School) in 2020, and another master’s degree in economics and finance from Barcelona School of Economics (UPF) in 2021 with a full tuition waiver. I was a visiting scholar in the Finance Department at the Wharton School (UPenn), from January to June 2025, hosted by Prof. Sylvain Catherine.

I study how lived experience becomes memory—and how that memory changes the financial decision a household makes today.

Curriculum Vitæ [updated August 2026]

Research

I am a financial economist working in household finance. My central question is how people’s past experiences survive into the present—through memory, beliefs, and measured preferences—and shape the choices they make with money now.

01

Experience becomes memory

Past gains and losses, recessions, and market crashes do not enter every decision mechanically. I study which experiences people retrieve, how they connect them, and how long those memories remain economically active.

02

Memory shapes beliefs

Experience matters through internal states we rarely observe directly. I examine subjective earnings risk and repeated preference elicitations, asking what these measures capture and what changes when measurement is noisy.

03

Households decide today

I trace these forces into current choices: whether to enter or exit markets, which assets to hold or sell, what to save for, and when to draw on retirement wealth. Related work studies how institutions constrain those choices.

→ portfolios, trading, saving, retirement, and housing

// evidence — administrative records, transaction histories, and long household panels from the U.S., China, and Japan

Fields of Interest

Primary

  • Household Finance
  • Behavioral Finance
  • Asset Pricing

Secondary

  • Chinese Economy
  • Urban Economics
  • Labor Economics

References

  1. Lorenz Kueng Institute of Economics (IdEP), USI · Swiss Finance Institute lorenz.kueng@usi.ch
  2. Jessica Wachter Department of Finance, The Wharton School · University of Pennsylvania jwachter@wharton.upenn.edu
  3. Alberto Plazzi Institute of Finance (IFin), USI · Swiss Finance Institute alberto.plazzi@usi.ch

News & Forthcoming

§ Video et Taceo §

Household finance · experience · memory

Research

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[01]
JEL  R21 · R31 · I28 · D83
WORKING PAPER

Grandfathering at Sale: School Assignment Rights and Housing Exchange

When a sale extinguishes a grandfathered school right, the short-run adjustment appears in completed transactions and marketing time—not in the selected prices of homes that still trade.
Forthcoming: Rising Scholar Conference in Finance (University of Zurich, Sep 2026, poster), Real Estate and Urban Economics Conference (USI, Sep 2026, poster)
Presented at: UEA Summer School (LSE, 2026), USI IdEP Brown Bag (USI, 2024)
Show Figures
A sale preserves the physical dwelling but resets a pre-cutoff single-school entitlement, followed by separate anticipation, implementation, and cumulative timing estimates
A sale changes eligibility, not the dwelling—and the three timing comparisons answer different questions.
The exposed-relative completed-flow ratio is below one; selected sale prices move little while marketing duration rises
The short-run response is concentrated in completed flow and duration; selected transaction prices move little.
[02]
JEL  C18 · D14 · G11 · J31
WORKING PAPER

Beyond Variance: Asymmetric Labor Income Risk and Portfolio Entry

Among later SIPP transitions beginning with no reported stock-and-mutual-fund holdings, assigned lower and upper earnings tails have opposite conditional associations with reporting positive holdings one year later; total tail span is imprecisely estimated, so collapsing opportunities and disasters into one scale measure conceals the portfolio-transition pattern.
Presented at: Fourth Georgia Tech – Atlanta Fed Household Finance Conference (Georgia Tech, 2026), AFA 2026 (Philadelphia, 2026), 19th International Behavioural Finance Conference (Booth School of Business, 2025), 14th International Moscow Finance Conference (HSE Moscow, 2025), SFI PhD Student Workshop (University of Zurich, 2025), 10th Luxembourg Workshop on Household Finance and Consumption (Central Bank of Luxembourg, 2025), German Finance Association (DGF) Annual Meeting 2025 Doctoral Workshop (University of Hagen, 2025), Gerzensee Alumni Conference (Study Center Gerzensee, 2024, 2025), Macro Finance Research Program (MFR) 2024 Summer Session for Young Scholars (University of Chicago, 2024), Frankfurt Summer School 2024 (The Deutsche Bundesbank, 2024), 2nd Workshop on Applied Macroeconomics and Monetary Policy (University of St. Gallen, 2024), RES PhD Conference 2024 (University of Portsmouth, 2024), USI IdEP Brown Bag (USI, 2023, 2024, 2025)
Show Figures
Coefficient plots show a wider lower earnings tail predicts less entry into stock and mutual-fund holdings, while a wider upper tail predicts more entry; total span is imprecise
The two tails point in opposite directions on the transition into positive reported holdings.
Zero-inclusive downside-shape reliability is 0.74 in CPS and 0.60 in SIPP, but falls after conditioning on zero incidence, mean, dispersion, and demographics
Reliability depends on retaining the zero-earnings boundary and falls once lower moments are removed.
[03]
JEL  D14 · D91 · G11 · G14 · G41
WORKING PAPERw/4

Navigating Through Fear and Greed: The Experience-Driven Disposition Effect

Past losses make investors quicker to sell winners, past gains slower. The channel is memory retrieval, not a change in preferences.
with Rong Liu (TJU), Jessica Wachter (Wharton), Michael Kahana (UPenn) and Yongjie Zhang (TJU)
Presented at: Finance Brownbag (University of Bristol, 2026), Workshop on Cognitive Economics (University of Zurich, 2026), SFS Cavalcade North America (University of Virginia, 2026), Memory, Beliefs, and Choice (MBC) (University of Pennsylvania, 2025), USI IdEP Brown Bag (USI, 2024)
Show Figures
Gain-by-loss and gain-by-win interaction coefficients across 5% to 30% return thresholds, opposite in sign throughout
Accumulated losses and gains move the disposition effect in opposite directions.
[04]
JEL  D14 · D15 · D91 · G11 · G51
DRAFT

Twice-Told Preferences? Repeated Elicitation, Response Coding, and Future Household Wealth

Repeated answers expose persistence, endpoint use, and coding sensitivity, but add almost no out-of-sample prediction beyond the first response category.
Data: Panel Data Research Center (PDRC) at Keio University, Project ID: 9763
Show Figures
Pre-2016 elicited-rate means and split-block ORIV estimates predict several 2022 to 2024 household-finance outcomes, with uncertainty intervals
The repeated-proxy estimate is steeper for future wealth, but the broader portfolio margins are imprecise.
The mapped required-return mean predicts lower future wealth rank, while order-preserving recodings produce weaker and mixed estimates
The apparent wealth gradient is not invariant to how the response categories are encoded.
[05]
JEL  D14 · G51 · J32 · J63
DRAFT

Job Separation and Retirement Leakage: Evidence from Non-Rollover Distributions

Non-rollover retirement distributions rise around both voluntary and involuntary separation; the evidence does not cleanly separate financial distress from the institutions of leaving a job.
Show Figures
Adjusted non-rollover differences are positive for voluntary and involuntary separators relative to continuers, while the involuntary-versus-voluntary difference is imprecise
Both separator groups differ from continuers; the incremental involuntary–voluntary contrast remains imprecise.
[06]
JEL  J12 · J23 · N35 · O25 · P23
DRAFTw/1

Industrial Places and Young Singlehood: Cross-Sections and Cohort Histories from China’s Third Front

with Yi Yao (USI)
Industrial places show a distinctive young-singlehood profile that reappears in retrospective cohort histories. The alignment is a demographic regularity and an estimand lesson—not a causal Third Front effect.
Presented at: GLO-Guangzhou-2026 (IESR, 2026), USI IdEP Brown Bag (USI, 2026)
Show Figure
The Third Front differential in young singlehood from the actual 1982 census closely tracks two pseudo-1982 reconstructions from 2000 marriage histories
The actual 1982 resident-stock profile and two retrospective reconstructions align closely in point estimates.
[07]
JEL  D14 · E21 · E24 · J12 · J31
DRAFT

A Cold Start: Recession Entry and the Purposes of Household Saving

Women who entered weak labor markets later save more, with most of the estimated response in family-common, child, and other purposes rather than spouse-designated flows.
Data: Japanese Panel Survey of Consumers (JPSC), Panel Data Research Center at Keio University
Show Figures
The share of women entering a regular first job and the national job-openings ratio both fall across Japan's 1993 to 2005 Employment Ice Age
Labor-market tightness at school leaving tracks entry into regular first employment.
Residualized non-spouse minus spouse saving declines with better entry labor-market conditions, with an exact weighted slope of minus 7.25 thousand yen
The exact partial regression places the response in non-spouse rather than spouse-designated saving.
JEL  G11 · G40 · G41 · G51 · D14 · D91
WORK IN PROGRESSw/1

Whose Loss Is It?

with Chaojie (Jay) Liu (Bristol)
Preliminary evidence compares the same investor across self-directed and robo-advised accounts, asking whether who chose the holdings changes how a gain or loss is acted upon.
i.

Python

Here is a highly recommended course to learn Python coding for economics:

ii.

MATLAB

  • Structural Estimation [in preparation]

A very good introductory lecture on structural estimation is available on YouTube, offered by Prof. Michael Keane.

iii.

R

  • Structural Estimation [in preparation]
Serkan Karadas and Minh Tam Tammy Schlosky, Determinants of Retirement Savings Decisions: Evidence from a 401(k) Plan
Chicago, IL —
Federico Baldi-Lanfranchi, Cost Savings in Mutual Funds
SFI PhD Student Workshop, Zurich —

Undergraduate

Essentials of Corporate Finance

Postgraduate

Empirical Methods in (Household) Finance

  • C0: TBC

Topics in Behavioral Finance

  • TBC

Structural Estimation

  • C0: This section introduces the simplest structural estimation framework from Blundell, Pistaferri, and Preston (2008), demonstrating how to apply the Generalized Method of Moments (GMM) to estimate parameters in a log-linear consumption model.
  • C1: TBC

Using Claude AI for Research

  • Slides: A hands-on workshop on using Claude AI for research and writing.

This page documents my investment journey beginning in 2025. I will track and report the realized returns for each investment.

Portfolio as of July 20, 2026

On June 18, 2026, I purchased four mutual funds focused on China’s AI supply chain, in response to the U.S. government’s block on Claude’s Fable 5 model on June 12, 2026. I realized the position on July 20, 2026, at a loss of approximately 15%.

Portfolio as of April 16, 2025

On February 5, 2025, I purchased the following stocks in response to the AI boom in China:

  • Alibaba – 28.1% allocation at HKD 97.00 per share; realized on February 13, 2025 at HKD 115.40.
  • HSBC – 46.4% allocation at HKD 80.15 per share; realized on March 11, 2025 at HKD 85.00.
  • Xiaomi (W) – 25.5% allocation at HKD 39.15 per share; realized on February 13, 2025 at HKD 41.80.
Tokyo, January 2017
TokyoJan 2017
Praha, December 2022
PrahaDec 2022
Lugano, December 2022
LuganoDec 2022
Zermatt, December 2023
ZermattDec 2023
NY, May 2025
New YorkMay 2025
UT, May 2025
UtahMay 2025