• Bond University, Bond Business School

    4229 Gold Coast

    Australia

Accepting PhD Students

  • Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20132020

Research activity per year

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Personal profile

Research interests

Rand Low is an Associate Professor of Quantitative Finance at Bond Business School and Honorary Senior Fellow at the University of Queensland.

Professor Low's research areas are in asset and investments management, specifically correlation/dependence modelling, portfolio optimization, risk management, systematic trading strategies and multi-asset investing strategies. His work has been published in leading academic and industry journals such as Journal of Banking & Finance, Quantitative Finance, Journal of Empirical Finance, Journal of Investing, and Journal of Risk.

Prior to his PhD, Professor Low worked in control systems engineering and management roles for Honeywell and is a Chartered Professional Engineer of the mechanical college. Upon completing his PhD, he won a 3-year postdoctoral research grant on portfolio optimization & risk management techniques for financial crises and was a recipient of the Australia Awards - Endeavour fellowship. He has been a visiting research fellow at the New York University - Stern School of Business.

Professor Low has worked at the global headquarters of Bank of America Merrill Lynch and BlackRock in New York City. He led teams of quantitative analysts in building mathematical models for market/credit/operational risk, securities lending, structured products, asset-backed securities, and portfolio management. Professor Low has also defended quantitative model development practices on behalf of these institutions to US regulators such as the Federal Reserve (FED) and the Office of the Comptroller of Currency (OCC). He is familiar with stress-testing and model risk management practices such as model validation and governance for large financial institutions (i.e., CCAR, DFAST).

Professor Low's research interests are in applying statistical and machine learning techniques in investments management in areas such as corporate credit ratings, robo-advisors, digital assets (i.e., cryptocurrencies), and systematic active strategies.  He is investigating mutual fund and hedge fund performance.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 11 - Sustainable Cities and Communities

Education/Academic qualification

Finance, PhD (Finance), University of Queensland

20092013

Engineering, BE, University of Melbourne

20012005

Computer Science, BE, University of Melbourne

20012005

Project Management, Graduate Diploma, University of New England

External positions

Honorary Senior Fellow, University of Queensland

2016 → …

Postdoctoral Research Fellow, University of Queensland

20132016

Professional Engineer (CPEng), Engineers Australia

2009 → …

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