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ETC Investment Group's Projects

equity_research icon equity_research

This depository contains ETC equity reports derived from macroeconomic, industry-level analysis and fundamental research. It is mainly used as the equity component of the ETC Academy portfolio and benchmark stock pool for later stock selection algorithms and managed portfolios in the ETC student fund. Starting from the third quarter of 2020, the eqity research team has shifted equity research focus to more specialized industry analysis, particularly in Fincial Technology(DeFi), Semiconductors(and relavant electronic instruments down the production chain), Health and Medical services.

multifactor icon multifactor

Built a practical Multi-Factor Backtesting Framework from scratch based on Huatai Security's(One of China's largest sell side) financial engineering report. Steps include factor data collection and preprocessing, factor combination, portfolio optimization and risk return analysis.

survey_portfolioselection icon survey_portfolioselection

Online portfolio selection is a fundamental problem in computational finance, which has been extensively studied across several research communities, including finance, statistics, artificial intelligence, machine learning, and data mining, etc. This article aims to provide a comprehensive survey and a structural understanding of published online portfolio selection techniques.

svm-genetic_alpha icon svm-genetic_alpha

This is derivative work from literature review of a paper, intending to serve as main alpha for the research project developed under ETC Investment Group, Academy Division. The underlying logic and technique follows through with the abstract: "This paper presents an integrated approach for portfolio selection in a multicriteria decision making framework. Firstly, we use Support Vector Machines for classifying financial assets in three pre-defined classes, based on their performance on some key financial criteria. Next, we employ Real-Coded Genetic Algorithm to solve a mathematical model of the multicriteria portfolio selection problem in the respective classes incorporating investorpreferences." Model: -Multicriteria portfolio selection model developed by Gupta et al. can yield positive results despite a deficit in areas of return and risk -Traditional Markowitz model Multiobjective programming model for asset portfolio allocation Tools and algorithms: Support Vector Machine Real Coded Genetic Algorithm Parameters: Short-term returns (12-month period) Long-term returns(36-month period) Risk Liquidity.

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