DIGITAL ASSETS · MULTI-ASSET RESEARCH

Study the asset, the portfolio, and the path to implementation.

My work examines crypto risk and return in a multi-asset setting. The investment conclusion has to remain credible after liquidity, custody, regulation, and operating constraints enter the frame.

01

Portfolio role

Compare correlation regimes, downside co-movement, and rebalance conditions.

02

Evidence design

Bring market data, on-chain activity, and regulatory information into one research trail.

03

Implementation

Promote liquidity, custody, and operating clocks into the conclusion.

RESEARCH ARCHITECTURE

Classification desk

Classification is a research tool: separate the return source, risk carrier, and observable evidence.

Return sourceAdoption, settlement demand, network use, risk premium
Risk carrierMarket, protocol, counterparty, regulation, operations
EvidencePrice structure, on-chain activity, liquidity, public disclosure

Research note 01 · Portfolio research

Correlation Is a Regime, Not a Label

A portfolio view of crypto assets needs more than a full-sample coefficient. It needs an account of when co-movement changes and what may be driving it.

7 min read

Research note 02 · Risk framework

Map Liquidity from Screen Price to Exit Path

Institutional execution depends on more than reported turnover. Depth, dealer balance sheets, settlement rails, and internal operating windows can fail at different speeds.

8 min read

Research note 03 · Implementation

Custody Changes the Investable Question

Theoretical exposure is not the same as an implementable position. Account design, key governance, asset support, and operating hours reshape the opportunity set.

7 min read

PROFILE

Research profile

London, United Kingdom

Current work

Senior Investment Research Analyst, Digital Assets

Fidelity International · Full-time

  • Research the risk-return characteristics of crypto assets in multi-asset portfolios
  • Track market structure, on-chain activity, and regulatory change
  • Build asset classification and scenario analysis frameworks
  • Support investment committee and product teams with research

Education

Fudan University

Master of Economics · Finance

2016–2019

CONTACT

Contact

Open to thoughtful exchanges on digital-asset research, portfolio frameworks, and institutional implementation.