Balancing Profit, Purpose, and People in the New Era of Investing
Balancing Profit, Purpose, and People in the New Era of Investing
Who will you meet ?
Dr. Chyng Wen Tee
Associate Professor of Quantitative Finance (Practice)
Singapore Management University - Lee Kong Chian School of Business Dr. Chyng Wen Tee is an Associate Professor of Quantitative Finance (Practice) at the Lee Kong Chian School of Business, Singapore Management University, where he also serves as Academic Director of the Master of Science in Quantitative Finance program. He holds a PhD in Photonic Engineering from the University of Cambridge and a B.Eng in Electrical and Electronic Engineering from Nanyang Technological University, Singapore. Dr. Tee’s professional experience spans top financial institutions, including Goldman Sachs Hong Kong and Morgan Stanley London. His research focuses on derivative pricing, risk management, quantitative trading algorithms, and machine learning applications in finance. He has received multiple teaching and research awards, including the Master's in Quantitative Finance Best Instructor Award (2022–2025) and the Teaching Excellence in Postgraduate Professional Programmes Award (2022).
Lynn Aw
Admissions Manager (MAF, PD) Office of Dean, Lee Kong Chian School of Business
Singapore Management University Lynn serves as the Recruitment and Admission Manager for the postgraduate programs at the Lee Kong Chian School of Business, Singapore Management University, a role she has held since September 2022. In this capacity, she is responsible for overseeing the recruitment strategies and admission processes, ensuring a diverse and talented cohort of students.
Audrey Lam
Senior Admission Manager (MQF, MEI)
Singapore Management University - Lee Kong Chian School of Business Audrey Lam is a Senior Admission Manager at Singapore Management University. She previously served as Senior Manager for the MSc in Quantitative Finance and MSc in Wealth Management programs at SMU and has held key roles at SMU, the People’s Association, and Matsushita. Audrey holds a Bachelor’s degree from Nanyang Technological University.
Associate Professor of Quantitative Finance (Practice)
Singapore Management University - Lee Kong Chian School of Business Dr. Chyng Wen Tee is an Associate Professor of Quantitative Finance (Practice) at the Lee Kong Chian School of Business, Singapore Management University, where he also serves as Academic Director of the Master of Science in Quantitative Finance program. He holds a PhD in Photonic Engineering from the University of Cambridge and a B.Eng in Electrical and Electronic Engineering from Nanyang Technological University, Singapore. Dr. Tee’s professional experience spans top financial institutions, including Goldman Sachs Hong Kong and Morgan Stanley London. His research focuses on derivative pricing, risk management, quantitative trading algorithms, and machine learning applications in finance. He has received multiple teaching and research awards, including the Master's in Quantitative Finance Best Instructor Award (2022–2025) and the Teaching Excellence in Postgraduate Professional Programmes Award (2022).
Admissions Manager (MAF, PD) Office of Dean, Lee Kong Chian School of Business
Singapore Management University Lynn serves as the Recruitment and Admission Manager for the postgraduate programs at the Lee Kong Chian School of Business, Singapore Management University, a role she has held since September 2022. In this capacity, she is responsible for overseeing the recruitment strategies and admission processes, ensuring a diverse and talented cohort of students.
Senior Admission Manager (MQF, MEI)
Singapore Management University - Lee Kong Chian School of Business Audrey Lam is a Senior Admission Manager at Singapore Management University. She previously served as Senior Manager for the MSc in Quantitative Finance and MSc in Wealth Management programs at SMU and has held key roles at SMU, the People’s Association, and Matsushita. Audrey holds a Bachelor’s degree from Nanyang Technological University.Synopsis: You are fresh out of college, ready to invest, and every fund report gives you an average return and a Sharpe ratio – but these numbers are unreliable. Why? Because it is only true for the one lucky person who invested on day one. If you bought in last year, last decade, or any time in between, the reported return is irrelevant to you. This talk is about ensuring the investment reports you see actually reflect your experience, not just the experience of a privileged few. We introduce the concept of “Universal Returnâ€, moving beyond a single, unrepresentative story to provide a clear, comprehensive, and universally relevant picture of an investment's true performance and risk. When we apply this new lens to popular strategies, we will see that what looks like rock-solid performance in investment reports often reveals a much more nuanced, time-dependent reality.
Learn how reported returns reflect investors’ experience
How timing changes real investment outcomes
What “Universal Return†means and why it matters
Making smarter, more informed investment choices
Seeing beyond standard performance metrics
Learn how reported returns reflect investors’ experience
How timing changes real investment outcomes
What “Universal Return†means and why it matters
Making smarter, more informed investment choices
Seeing beyond standard performance metrics
Exclusive application fee waivers for select programs
Networking opportunities with industry experts
Practical insights to make smarter financial and career decisions
Exclusive application fee waivers for select programs
Networking opportunities with industry experts
Practical insights to make smarter financial and career decisions
A premier university in Asia, the Singapore Management University (SMU) is internationally recognised for its world-class research and distinguished teaching. Established in 2000, SMU's mission is to generate leading-edge research with global impact and to produce broad-based, creative, and entrepreneurial leaders for the knowledge-based economy. SMU's education is known for its highly interactive, collaborative, and project-based approach to learning.
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