Predictive accuracy of the RSI in the shipping freight market (dry bulk sector)

Shipping has been known to be one of the most volatile industries, with the ability to wipe out a few years of earnings in just a few short months. Hence, ship owners would have to act prudently in their investment decisions in order to thrive in this competitive market. As such, this study aims to...

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Main Author: Tee, Sandrina Jie Yi
Other Authors: Okan Duru
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78527
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-785272023-03-03T16:56:12Z Predictive accuracy of the RSI in the shipping freight market (dry bulk sector) Tee, Sandrina Jie Yi Okan Duru School of Civil and Environmental Engineering DRNTU::Engineering::Maritime studies Shipping has been known to be one of the most volatile industries, with the ability to wipe out a few years of earnings in just a few short months. Hence, ship owners would have to act prudently in their investment decisions in order to thrive in this competitive market. As such, this study aims to look into the predictive accuracy of technical indicators to help provide some certainty or a form of reference for making investment decisions. As concluded in the paper, “How rewarding is technical analysis? Evidence from Singapore stock market” , technical analysis, with the Relative Strength Index in particular, has been shown to generate profitable trades through the Singapore Exchange over a time span of 21 years. This hence serves as a motivation for this study to test the accuracy of Relative Strength Index on the shipping market in hope of providing a useful tool for investors. Bachelor of Science (Maritime Studies) 2019-06-21T02:43:51Z 2019-06-21T02:43:51Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78527 en Nanyang Technological University 54 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Maritime studies
spellingShingle DRNTU::Engineering::Maritime studies
Tee, Sandrina Jie Yi
Predictive accuracy of the RSI in the shipping freight market (dry bulk sector)
description Shipping has been known to be one of the most volatile industries, with the ability to wipe out a few years of earnings in just a few short months. Hence, ship owners would have to act prudently in their investment decisions in order to thrive in this competitive market. As such, this study aims to look into the predictive accuracy of technical indicators to help provide some certainty or a form of reference for making investment decisions. As concluded in the paper, “How rewarding is technical analysis? Evidence from Singapore stock market” , technical analysis, with the Relative Strength Index in particular, has been shown to generate profitable trades through the Singapore Exchange over a time span of 21 years. This hence serves as a motivation for this study to test the accuracy of Relative Strength Index on the shipping market in hope of providing a useful tool for investors.
author2 Okan Duru
author_facet Okan Duru
Tee, Sandrina Jie Yi
format Final Year Project
author Tee, Sandrina Jie Yi
author_sort Tee, Sandrina Jie Yi
title Predictive accuracy of the RSI in the shipping freight market (dry bulk sector)
title_short Predictive accuracy of the RSI in the shipping freight market (dry bulk sector)
title_full Predictive accuracy of the RSI in the shipping freight market (dry bulk sector)
title_fullStr Predictive accuracy of the RSI in the shipping freight market (dry bulk sector)
title_full_unstemmed Predictive accuracy of the RSI in the shipping freight market (dry bulk sector)
title_sort predictive accuracy of the rsi in the shipping freight market (dry bulk sector)
publishDate 2019
url http://hdl.handle.net/10356/78527
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