A live Student Managed Fund (SMF) at NUS Business School was launched in Academic Year 2012/13. The SMF is a CAMRI-led effort that creates a platform which exposes and trains NUS Business School students in fiduciary fund management. It includes hands-on experience in the execution, management & monitoring of a real portfolio using state-of-the-art investment research, tools and facilities at the CAMRI Lab. Students involve in all aspects of investment management, ranging from investment research, investment thesis generation and pitching, trade execution, portfolio & risk management & monitoring, dealing with counterparties, to daily operational duties. Please click here to view the Student Managed Fund Investment Process and Performance Report.

With such exposure and training, we wish to develop well-trained & high-performing asset managers who have a strong sense of integrity & fiduciary responsibility, and who are well-equipped to become highly-skilled stewards of both institutions’ & individuals’ financial assets. Through the SMF, we also wish to give our students a competitive career edge in the asset management industry such as distributing resumes of our SMF Track graduates to our industry partners every November/December to elevate their career opportunities. Finally, we hope to further raise the global and international profile of NUS Business School by being the first business school in Asia to provide a university-approved opportunity to its students in the most well-equipped and professional environment (CAMRI Lab). Please click here to see the projected fund management learning module track leading to NUS Business School BBA (Hons) students being certified to be a part of the Student Managed Fund team.

MBA students: Please click here to see the CAMRI-recommended MBA-level finance classes if you are interested to find a job in the asset management industry. We suggest you complete the 5 compulsory core classes followed by any of the 4 (or 5) electives recommend there. Note that this is subject to these MBA-level modules being offered during a particular semester (please check on this with the MBA Graduate Program Office) and that these modules are subject to change.

The SMF would not have come into existence if not for the excellent support and generosity, in both time and talent, of our external counsel, Baker & McKenzie.Wong & Leow, our prime broker, UBS Prime Services, and the NUS Office of Financial Services. Additionally, none of this “experiential, hands-on” learning would have been possible if not for a CAMRI Board member’s generous donation that seeded the SMF.

There is also the CAMRI Annual Influential Women in Banking & Investments Forum where CAMRI presents the Annual Student Managed Fund Track Prize to the most outstanding woman/women in the SMF (BBA) Track as nominated by their SMF Track Professors. The 2019 Student Managed Fund Track Prize winner was Ms Joanne Chen Ziyu, while in 2018 they were Ms. Lydia Lau Hui Xian (First Prize) and Ms. Cherie Lee (Second Prize). The Prize is funded by a former CAMRI Board Member.

Testimonials NEW

Please click here to view the testimonials by alumni of the SMF Track.

CAMRI Multi-Factor Model

The quantitative equity research (QER) effort at the Centre for Asset Management Research and Investments (CAMRI) develops in-house multi-factor stock selection models. The multi-factor models are quantitative models that allow the user (student portfolio managers) to select stocks from a given universe so as to generate better returns (“alpha”). The models are deployed for student fund management, simulation and training at the Investment Management & Trading Lab at CAMRI. The multi-factor models are derived from company-level financial and accounting information by conjoining asset pricing theory with backtests, econometric, statistical and analytical programming methods, with current efforts to include Environmental, Social, and Governance (ESG) factors as well. The quantitative factor composite groupings are Valuation, Profitability, Balance Sheet Efficiency, Earnings Revision & Momentum, and Liquidity & Size. The initial research efforts at CAMRI had focused on developing a model for the mature US equity market. It has since expanded the expertise to cover Asia-Pacific and with plans to further extend it to a Global model.

Weekly CAMRI U.S. Multi-Factor Model Equity Ranks

Important Note to Students: The weekly factor ranks provided in the Excel worksheets below is a work-in-progress and hence not guaranteed to work. They should only be used as a reference screening tool.

• 2019
• 2018
• 2017
• 2016
• 2015
• 2014
• 2013
• 2012

Student Equity & Trading Reports

Disclaimer: All research reports, appendices and/or presentation slides are produced strictly for academic purposes. Any such document is not to be construed as an offer or a solicitation of an offer to buy or sell any securities nor is it meant to provide investment advice. The NUS, the NUS Business School, the participating students, faculty members, and staff accept no liability whatsoever for any direct or consequential loss arising from any use of this document or any communication given in relation to this document. (link)

The quantitative equity research (QER) effort at the Centre for Asset Management Research and Investments (CAMRI) develops in-house multi-factor stock selection models. The multi-factor models are quantitative models that allow the user (student portfolio managers) to select stocks from a given universe so as to generate better returns (“alpha”). The models are deployed for student fund management, simulation and training at the Investment Management & Trading Lab at CAMRI. The multi-factor models are derived from company-level financial and accounting information by conjoining asset pricing theory with backtests, econometric, statistical and analytical programming methods. The quantitative factor composite groupings are Valuation, Profitability, Balance Sheet Efficiency, Earnings Revision & Momentum, and Liquidity & Size. The initial research efforts at CAMRI had focused on developing a model for the mature US equity market, with plans to extend the expertise to develop similar customized Asia-Pacific as well as Global models. The document is a comprehensive guide to the CAMRI U.S. Multi-Factor Model. *The CAMRI U.S. Multi-Factor Model (Version 1.0) document is a CAMRI proprietary document, and hence only available to CAMRI faculty, staff and students involved in the Student Managed Fund. Please contact CAMRI if you have any questions on this policy. The weekly factor ranks provided in the Excel worksheets below is a work-in-progress and hence not guaranteed to work. They should only be used as a reference screening tool. All research reports, appendices and/or presentation slides are produced strictly for academic purposes. Any such document is not to be construed as an offer or a solicitation of an offer to buy or sell any securities nor is it meant to provide investment advice. The NUS, the NUS Business School, the participating students, faculty members, and staff accept no liability whatsoever for any direct or consequential loss arising from any use of this document or any communication given in relation to this document.

Monthly Student Managed Fund Manager Commentary

• 2014
• 2013

THE DOCUMENTS PROVIDED BELOW ARE THE PROPERTY OF THE NUS BUSINESS SCHOOL AND CAMRI, AND MEANT FOR CLASSROOM USE ONLY. PLEASE DO NOT CIRCULATE THESE DOCUMENTS WITHOUT EXPLICIT PERMISSION FROM CAMRI. All research and multifactor model reports, appendices and/or presentation slides are produced strictly for academic purposes. Any such document is not to be construed as an offer or a solicitation of an offer to buy or sell any securities nor is it meant to provide investment advice. The NUS, the NUS Business School, the participating students, faculty members, and staff accept no liability whatsoever for any direct or consequential loss arising from any use of this document or any communication given in relation to this document.