STOCK MARKET DIRECTIONAL CHANGE FORECASTING USING ARTIFICAL NEURAL NETWORKS AND DYNAMIC BINARY TIME SERIES MODELS.

STOCK MARKET DIRECTIONAL CHANGE FORECASTING USING ARTIFICAL NEURAL NETWORKS AND DYNAMIC BINARY TIME SERIES MODELS.

Bachelor's

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Bibliographic Details
Main Author: HAZEL LIM SI MIN
Other Authors: ECONOMICS
Format: Theses and Dissertations
Published: 2018
Subjects:
Stock returns, Probit model, Neural Networks
Online Access:http://scholarbank.nus.edu.sg/handle/10635/146974
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Institution: National University of Singapore
id sg-nus-scholar.10635-146974
record_format dspace
spelling sg-nus-scholar.10635-1469742019-04-11T13:34:33Z STOCK MARKET DIRECTIONAL CHANGE FORECASTING USING ARTIFICAL NEURAL NETWORKS AND DYNAMIC BINARY TIME SERIES MODELS. HAZEL LIM SI MIN ECONOMICS DENIS TKACHENKO Stock returns, Probit model, Neural Networks Bachelor's Bachelor of Social Sciences (Honours) 2018-09-05T06:01:20Z 2018-09-05T06:01:20Z 2018-04-09 Thesis HAZEL LIM SI MIN (2018-04-09). STOCK MARKET DIRECTIONAL CHANGE FORECASTING USING ARTIFICAL NEURAL NETWORKS AND DYNAMIC BINARY TIME SERIES MODELS.. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/146974
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Stock returns, Probit model, Neural Networks
spellingShingle Stock returns, Probit model, Neural Networks
HAZEL LIM SI MIN
STOCK MARKET DIRECTIONAL CHANGE FORECASTING USING ARTIFICAL NEURAL NETWORKS AND DYNAMIC BINARY TIME SERIES MODELS.
description Bachelor's
author2 ECONOMICS
author_facet ECONOMICS
HAZEL LIM SI MIN
format Theses and Dissertations
author HAZEL LIM SI MIN
author_sort HAZEL LIM SI MIN
title STOCK MARKET DIRECTIONAL CHANGE FORECASTING USING ARTIFICAL NEURAL NETWORKS AND DYNAMIC BINARY TIME SERIES MODELS.
title_short STOCK MARKET DIRECTIONAL CHANGE FORECASTING USING ARTIFICAL NEURAL NETWORKS AND DYNAMIC BINARY TIME SERIES MODELS.
title_full STOCK MARKET DIRECTIONAL CHANGE FORECASTING USING ARTIFICAL NEURAL NETWORKS AND DYNAMIC BINARY TIME SERIES MODELS.
title_fullStr STOCK MARKET DIRECTIONAL CHANGE FORECASTING USING ARTIFICAL NEURAL NETWORKS AND DYNAMIC BINARY TIME SERIES MODELS.
title_full_unstemmed STOCK MARKET DIRECTIONAL CHANGE FORECASTING USING ARTIFICAL NEURAL NETWORKS AND DYNAMIC BINARY TIME SERIES MODELS.
title_sort stock market directional change forecasting using artifical neural networks and dynamic binary time series models.
publishDate 2018
url http://scholarbank.nus.edu.sg/handle/10635/146974
_version_ 1681098687659376640

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