The Implementation Of Econophyisics In Closing Stock Price Value Prediction Indonesian Industrial Sector Using Support Vector Regression Methode

The Implementation Of Econophyisics In Closing Stock Price Value Prediction Indonesian Industrial Sector Using Support Vector Regression Methode

In the capital market, Investors still are trying to take steps to make profit or at least keep theirs the assets. Consideration and anticipation in chosing decision in very instrumental in maintaining their assets so that necessary prediction of Closing Price Value to give consideration in making d...

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Main Author: Rijkimianto (NIM: 10213059), Rili
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/30497
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:30497
spelling id-itb.:304972018-02-25T15:04:27ZThe Implementation Of Econophyisics In Closing Stock Price Value Prediction Indonesian Industrial Sector Using Support Vector Regression Methode Rijkimianto (NIM: 10213059), Rili Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/30497 In the capital market, Investors still are trying to take steps to make profit or at least keep theirs the assets. Consideration and anticipation in chosing decision in very instrumental in maintaining their assets so that necessary prediction of Closing Price Value to give consideration in making decision. Because of that, the prediction needs a models that can help and provide more information in support of a policy to be taken in the future. Support Vector Regression is an approach method that is able to predict times series and can be applied in prediction of Closing Price Value. Result of Implementation using Support Vector Regression method is expected to give the precision predict of stock price value at some future period to analysis industrial sector. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description In the capital market, Investors still are trying to take steps to make profit or at least keep theirs the assets. Consideration and anticipation in chosing decision in very instrumental in maintaining their assets so that necessary prediction of Closing Price Value to give consideration in making decision. Because of that, the prediction needs a models that can help and provide more information in support of a policy to be taken in the future. Support Vector Regression is an approach method that is able to predict times series and can be applied in prediction of Closing Price Value. Result of Implementation using Support Vector Regression method is expected to give the precision predict of stock price value at some future period to analysis industrial sector.
format Final Project
author Rijkimianto (NIM: 10213059), Rili
spellingShingle Rijkimianto (NIM: 10213059), Rili
The Implementation Of Econophyisics In Closing Stock Price Value Prediction Indonesian Industrial Sector Using Support Vector Regression Methode
author_facet Rijkimianto (NIM: 10213059), Rili
author_sort Rijkimianto (NIM: 10213059), Rili
title The Implementation Of Econophyisics In Closing Stock Price Value Prediction Indonesian Industrial Sector Using Support Vector Regression Methode
title_short The Implementation Of Econophyisics In Closing Stock Price Value Prediction Indonesian Industrial Sector Using Support Vector Regression Methode
title_full The Implementation Of Econophyisics In Closing Stock Price Value Prediction Indonesian Industrial Sector Using Support Vector Regression Methode
title_fullStr The Implementation Of Econophyisics In Closing Stock Price Value Prediction Indonesian Industrial Sector Using Support Vector Regression Methode
title_full_unstemmed The Implementation Of Econophyisics In Closing Stock Price Value Prediction Indonesian Industrial Sector Using Support Vector Regression Methode
title_sort implementation of econophyisics in closing stock price value prediction indonesian industrial sector using support vector regression methode
url https://digilib.itb.ac.id/gdl/view/30497
_version_ 1822923285145321472

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