Evaluation of corporate actions using factor models

The study provides a thorough overview of corporate action types, objectives and risks. It sets the hypothesis that the number of conducted unique corporate actions by a company have an influence on its stock returns over a certain time interval. The analysis is based on public companies listed in t...

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Bibliographic Details
Main Author: Rukin, Jevgenij
Other Authors: Gruening, Patrick
Format: Master Thesis
Language:Lithuanian
English
Published: Institutional Repository of Vilnius University 2017
Subjects:
Online Access:http://vu.lvb.lt/VU:ELABAETD36087875&prefLang=en_US
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spelling ftlithuaniansrc:oai:elaba:36087875 2023-05-15T16:50:59+02:00 Evaluation of corporate actions using factor models Esminių įvykių vertinimas taikant faktorinius modelius Rukin, Jevgenij Gruening, Patrick 2017-01-09 http://vu.lvb.lt/VU:ELABAETD36087875&prefLang=en_US lit eng lit eng Institutional Repository of Vilnius University http://vu.lvb.lt/VU:ELABAETD36087875&prefLang=en_US corporate actions factor models stocks esminiai įvykiai faktoriniai modeliai info:eu-repo/semantics/masterThesis 2017 ftlithuaniansrc 2021-12-02T00:12:51Z The study provides a thorough overview of corporate action types, objectives and risks. It sets the hypothesis that the number of conducted unique corporate actions by a company have an influence on its stock returns over a certain time interval. The analysis is based on public companies listed in the Nordic region and Baltic States excluding Iceland. All corporate action data on these equities over the same timeframe is recorded and matched against adjusted total returns for quarterly, semi-annual and annual time intervals during the period of ten years. The corporate actions factor AMP (‘Active Minus Passive’) is calculated by the same principle as the size SMB, value HML and momentum UMD factors. Subsequently, the AMP factor is used as an extension to the Capital Asset Pricing Model, the Fama and French (1993) three factor model and the Carhart (1997) four factor model in a set of linear regressions, followed by the Fama and MacBeth (1973) second cross-sectional regression. The results show that the AMP factor is statistically significant for the market-based portfolios as well as Consumer and Industrials over the semi-annual intervals, while the second stage cross-sectional regression does not derive any meaningful risk premiums for selecting more corporate active companies over corporate passive. Master Thesis Iceland LSRC VL (Lithuanian Social Research Centre Virtual Library)
institution Open Polar
collection LSRC VL (Lithuanian Social Research Centre Virtual Library)
op_collection_id ftlithuaniansrc
language Lithuanian
English
topic corporate actions
factor models
stocks
esminiai įvykiai
faktoriniai modeliai
spellingShingle corporate actions
factor models
stocks
esminiai įvykiai
faktoriniai modeliai
Rukin, Jevgenij
Evaluation of corporate actions using factor models
topic_facet corporate actions
factor models
stocks
esminiai įvykiai
faktoriniai modeliai
description The study provides a thorough overview of corporate action types, objectives and risks. It sets the hypothesis that the number of conducted unique corporate actions by a company have an influence on its stock returns over a certain time interval. The analysis is based on public companies listed in the Nordic region and Baltic States excluding Iceland. All corporate action data on these equities over the same timeframe is recorded and matched against adjusted total returns for quarterly, semi-annual and annual time intervals during the period of ten years. The corporate actions factor AMP (‘Active Minus Passive’) is calculated by the same principle as the size SMB, value HML and momentum UMD factors. Subsequently, the AMP factor is used as an extension to the Capital Asset Pricing Model, the Fama and French (1993) three factor model and the Carhart (1997) four factor model in a set of linear regressions, followed by the Fama and MacBeth (1973) second cross-sectional regression. The results show that the AMP factor is statistically significant for the market-based portfolios as well as Consumer and Industrials over the semi-annual intervals, while the second stage cross-sectional regression does not derive any meaningful risk premiums for selecting more corporate active companies over corporate passive.
author2 Gruening, Patrick
format Master Thesis
author Rukin, Jevgenij
author_facet Rukin, Jevgenij
author_sort Rukin, Jevgenij
title Evaluation of corporate actions using factor models
title_short Evaluation of corporate actions using factor models
title_full Evaluation of corporate actions using factor models
title_fullStr Evaluation of corporate actions using factor models
title_full_unstemmed Evaluation of corporate actions using factor models
title_sort evaluation of corporate actions using factor models
publisher Institutional Repository of Vilnius University
publishDate 2017
url http://vu.lvb.lt/VU:ELABAETD36087875&prefLang=en_US
genre Iceland
genre_facet Iceland
op_relation http://vu.lvb.lt/VU:ELABAETD36087875&prefLang=en_US
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