[FBA] 고려대학교 금융 빅데이터 학회 (Financial Big data Analysis) 회원을 모집합니다.

고려대학교 금융 빅데이터 학회 Financial Big data Analysis 에서 학회원 모집합니다.
타대생 및 직장인 분들 환영합니다. 많은 지원 부탁드립니다.

학회에 대한 내용은 아래 글을 참조하시고, 더 궁금한 사항이 있으면 카톡으로 문의 부탁드립니다.

Kakao ID: Jungoh0505
Email: fba.trading.group@gmail.com

Additional Information about FBA

FBA Trading Group Academic Training Program

Who we are

I. Overview
We study the field at the intersection of Data Science and application in quantitative finance. We create investment portfolio and it will be applied when we make investment decisions.
In detail, we bring application of practical cutting-edge Data Science technologies into traditional and alternative investment strategies.
As a group, we believe in the power of collective intelligence. We share ideas and analysis, and we fully committed to sharing our research and insights with the world’s investment community

II. Data Science and Finance
Analyzing diverse financial data using data analysis technics such as regression, data mining, etc. is not new. It had not been classified as mainstream in finance yet and there are ample opportunities to explore novel investment strategies.
Along with emerging Data Science, we have strong conviction of developing Alpha generating algorithms.

III. Our Vision
There is a limit of making alpha from traditional investment strategies using financial data such as stock, bond, derivatives. That is, there is no reason to obsessed with widely used data.
We search for new data. We explore unreleased data from extracting quantitative data from qualitative data.
It takes intense curiosity, craving innovation in research in the global financial markets, their behaviors, drivers, and signals.


Program Schedule
- Preliminary Session
- First Project
- Intermediate Session
- Second Project
- Advanced Session
- Final Project

Program details
- Preliminary Session (2 month)
Basic quantitative methods in finance, introduction to investment theory, machine learning basics.
- First Project (3 month)
Enhancing Momentum Strategies by applying Deep Learning algorithms
- Intermediate Session (2 month)
Financial mathematics, derivatives, advanced machine learning algorithms
- Second Project (3 month)
Subject to change
- Advanced Session (2 month)
Time series, portfolio theory, parallel computing
- Final Project
Subject to change

Session
Weekly Session: Team Session
Monthly Session: Club Session




출처 : 고려대학교 고파스 2024-04-28 20:42:21: