Practical Research Proposal

Statistical Science Association of StudentsUniversity of Toronto

Yiming Shao, VP

Introduction • Research Project differs from Graduate School Research

Paper – Group projects not self research – No pressure, but need hustle – Multidisciplinary team

• Our Goals and Mission – Academic accomplishment – Network opportunities with industries

• Management Structure– Faculty of Statistics – Executive Board of SSAS– Research Team

Why we are different?

• Focus on practical preliminary of statistical application in finance and other disciplines

• Offer research practice and practical research experience for potential students

• Open for both undergraduate and graduate students with various disciplines backgrounds

• Extra resources for research students • Future publication

Topics Selection

• Mainly focus on the case study of statistics • Areas cover in academia

– Mathematical Statistics and Algorithmic Statistics – Public Health and Medical Statistics – Mathematical Finance and Quantitative Statistics

• Topics capture public attention– Social issues – Target Market

Management on Financial TeamProfessor Jaimungal Sebastian

SSAS Research Committee

Director Yiming Shao

Eric, Mentorship Director

Academic Assistant

Joyce, Secretary

Quality Assurance

Analyst

Head of Research Group

Financial Model Analyst

Technology Analyst

Reporter

Publicity and Marketing Assistant

Financial Applications of Statistics

• Statistical Methods and Data Analysis on most relevant financial applications

• Financial Time Series, ARCH, GARCH models • Markowitz’s Portfolio optimization • Machine learning in Financial Forecasting • Value at Risk by Monte Carlo Simulation • Other Non-Statistics like Financial Risk Analysis and

Algorithmic programming

Finance topics• This is only the brief introduction of our research projects, nothing like prospectus

for Master or Doctoral research paper at University. The topics covered from this proposal contain Statistical Analysis of Quantitative Finance, Portfolio Management, Mathematical Finance and Risk Models. These topics are selected from financial industries’ top research list, which diversifies from classical academic research paper. It requires students to have deep solid understanding of higher level of finance and statistics. In order to participate in the groups, students require having strong academic background in mathematics and economics and basic soft skills to communicate with professors and research groups. However, as mentioned early, this is not a graduate school thesis project, so no pressure. The management team from SSAS will collaborate with the Faculty of Statistical Science to verify the accuracy and completeness of the result. Then we will demonstrate and discuss the new research to the financial industries’ professionals on our future networking events.

Public Health and Medical TeamProfessor Allison Gibbs

SSAS Research Committee

Director Yiming Shao

Eric, Mentorship Director

Academic Assistant

Joyce, Secretary

Quality Assurance

Analyst

Head of Research Group

Data Analyst

Technology Analyst

Reporter

Publicity and Marketing Assistant

Public Health Research

• Society of Statistics Canada • Case study

Management Structure

Faculty of Statistics

Research Group Committees

Industries

Title

Questions?