PAIRS TRADING: COMPARISON BETWEEN MACHINE LEARNING AND TRADITIONAL APPROACHES ON INVESTOR RETURNS

Bachelor's

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Bibliographic Details
Main Author: ELYSIA TAN ZIYI
Other Authors: NUS BUSINESS SCHOOL
Published: 2022
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/217478
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-2174782022-03-22T09:54:30Z PAIRS TRADING: COMPARISON BETWEEN MACHINE LEARNING AND TRADITIONAL APPROACHES ON INVESTOR RETURNS ELYSIA TAN ZIYI NUS BUSINESS SCHOOL ANDREW LIM ANALYTICS & OPERATIONS Bachelor's Bachelor of Business Administration (Accountancy) with Honours 2022-03-22T08:51:49Z 2022-03-22T08:51:49Z 2021-04-05 ELYSIA TAN ZIYI (2021-04-05). PAIRS TRADING: COMPARISON BETWEEN MACHINE LEARNING AND TRADITIONAL APPROACHES ON INVESTOR RETURNS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/217478
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic ANALYTICS & OPERATIONS
spellingShingle ANALYTICS & OPERATIONS
ELYSIA TAN ZIYI
PAIRS TRADING: COMPARISON BETWEEN MACHINE LEARNING AND TRADITIONAL APPROACHES ON INVESTOR RETURNS
description Bachelor's
author2 NUS BUSINESS SCHOOL
author_facet NUS BUSINESS SCHOOL
ELYSIA TAN ZIYI
author ELYSIA TAN ZIYI
author_sort ELYSIA TAN ZIYI
title PAIRS TRADING: COMPARISON BETWEEN MACHINE LEARNING AND TRADITIONAL APPROACHES ON INVESTOR RETURNS
title_short PAIRS TRADING: COMPARISON BETWEEN MACHINE LEARNING AND TRADITIONAL APPROACHES ON INVESTOR RETURNS
title_full PAIRS TRADING: COMPARISON BETWEEN MACHINE LEARNING AND TRADITIONAL APPROACHES ON INVESTOR RETURNS
title_fullStr PAIRS TRADING: COMPARISON BETWEEN MACHINE LEARNING AND TRADITIONAL APPROACHES ON INVESTOR RETURNS
title_full_unstemmed PAIRS TRADING: COMPARISON BETWEEN MACHINE LEARNING AND TRADITIONAL APPROACHES ON INVESTOR RETURNS
title_sort pairs trading: comparison between machine learning and traditional approaches on investor returns
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/217478
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