A study on stock return variance during trading and non-trading periods of the thirty most actively traded stocks for the years 2007-2011 using GARCH

This study determines which period (the trading or the non-trading period) in the Philippine Stock Exchange is more volatile than the other. The sample used is, the thirty (30) most actively traded stocks in the Philippine Stock Exchange, covering the period, January 2, 2007 to December 29, 2011. In...

Full description

Saved in:
Bibliographic Details
Main Authors: Coronado, Porzia Evol, Inocencio, Marinell Elise, Jalbuena, Jose Juan, Ramos, Ralph Christian
Format: text
Language:English
Published: Animo Repository 2012
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/18518
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-19031
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-190312022-02-09T05:38:31Z A study on stock return variance during trading and non-trading periods of the thirty most actively traded stocks for the years 2007-2011 using GARCH Coronado, Porzia Evol Inocencio, Marinell Elise Jalbuena, Jose Juan Ramos, Ralph Christian This study determines which period (the trading or the non-trading period) in the Philippine Stock Exchange is more volatile than the other. The sample used is, the thirty (30) most actively traded stocks in the Philippine Stock Exchange, covering the period, January 2, 2007 to December 29, 2011. In this study, the general autoregressive conditional heteroskedasticity (1, 1) model, and multiplicative general autoregressive conditional heteroskedasticity (1, 1) model were used to estimate the conditional variances of the trading and the non-trading period. This study included two variables to represent information arrival (as proxied by volume) and trading noise (proxied by lagged intra-day volatility). A simulation of stocks that accounts for transaction costs was also done, in order to provide a clear example to the readers, in determining which period has more favorable returns. Overall, the trading period is found to be more volatile than the non-trading period, but, interestingly, the returns during the non-trading period appear to be more favorable than those of the trading period. It was also shown how transaction costs, do, have an effect on returns. Furthermore, the study also determined that information arrival, and trading noise have significant effects on the variances during the trading period. 2012-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/18518 Bachelor's Theses English Animo Repository Stocks--Philippines Stock exchanges--Philippines Finance and Financial Management
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Stocks--Philippines
Stock exchanges--Philippines
Finance and Financial Management
spellingShingle Stocks--Philippines
Stock exchanges--Philippines
Finance and Financial Management
Coronado, Porzia Evol
Inocencio, Marinell Elise
Jalbuena, Jose Juan
Ramos, Ralph Christian
A study on stock return variance during trading and non-trading periods of the thirty most actively traded stocks for the years 2007-2011 using GARCH
description This study determines which period (the trading or the non-trading period) in the Philippine Stock Exchange is more volatile than the other. The sample used is, the thirty (30) most actively traded stocks in the Philippine Stock Exchange, covering the period, January 2, 2007 to December 29, 2011. In this study, the general autoregressive conditional heteroskedasticity (1, 1) model, and multiplicative general autoregressive conditional heteroskedasticity (1, 1) model were used to estimate the conditional variances of the trading and the non-trading period. This study included two variables to represent information arrival (as proxied by volume) and trading noise (proxied by lagged intra-day volatility). A simulation of stocks that accounts for transaction costs was also done, in order to provide a clear example to the readers, in determining which period has more favorable returns. Overall, the trading period is found to be more volatile than the non-trading period, but, interestingly, the returns during the non-trading period appear to be more favorable than those of the trading period. It was also shown how transaction costs, do, have an effect on returns. Furthermore, the study also determined that information arrival, and trading noise have significant effects on the variances during the trading period.
format text
author Coronado, Porzia Evol
Inocencio, Marinell Elise
Jalbuena, Jose Juan
Ramos, Ralph Christian
author_facet Coronado, Porzia Evol
Inocencio, Marinell Elise
Jalbuena, Jose Juan
Ramos, Ralph Christian
author_sort Coronado, Porzia Evol
title A study on stock return variance during trading and non-trading periods of the thirty most actively traded stocks for the years 2007-2011 using GARCH
title_short A study on stock return variance during trading and non-trading periods of the thirty most actively traded stocks for the years 2007-2011 using GARCH
title_full A study on stock return variance during trading and non-trading periods of the thirty most actively traded stocks for the years 2007-2011 using GARCH
title_fullStr A study on stock return variance during trading and non-trading periods of the thirty most actively traded stocks for the years 2007-2011 using GARCH
title_full_unstemmed A study on stock return variance during trading and non-trading periods of the thirty most actively traded stocks for the years 2007-2011 using GARCH
title_sort study on stock return variance during trading and non-trading periods of the thirty most actively traded stocks for the years 2007-2011 using garch
publisher Animo Repository
publishDate 2012
url https://animorepository.dlsu.edu.ph/etd_bachelors/18518
_version_ 1772835289527484416