Modeling Sectoral Stock Indexes Volatility: Empirical Evidence from Pakistan Stock Exchange
<p>Modeling volatility in financial markets is one of the factors that results in direct impact and effect on pricing, risk and portfolio management. This study aims to examine the volatility of stock indices in PSX that include; volatility clustering, fat tails and leptokurtosis behavior. To...
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| Format: | Article |
| Language: | English |
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EconJournals
2018-03-01
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| Series: | International Journal of Economics and Financial Issues |
| Online Access: | https://www.econjournals.com/index.php/ijefi/article/view/6115 |
| _version_ | 1797913250310914048 |
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| author | Charan Raj Chimrani Farhan Ahmed Vinesh Kumar Panjwani |
| author_facet | Charan Raj Chimrani Farhan Ahmed Vinesh Kumar Panjwani |
| author_sort | Charan Raj Chimrani |
| collection | DOAJ |
| description | <p>Modeling volatility in financial markets is one of the factors that results in direct impact and effect on pricing, risk and portfolio management. This study aims to examine the volatility of stock indices in PSX that include; volatility clustering, fat tails and leptokurtosis behavior. To achieve the objective, ADF Unit root test has been performed to check the stationarity and it was concluded from the results that series were stationary at 1st difference. Series taken for this research consists of 11 sectors which includes Commercial Banks (DCB), Cement (DCEM), and Chemicals (DCHEM). Fertilizers (DFER), Investment Banks and Investment Companies (DIB), Insurance (DINS), Oil and Gas (DOG), Power generation and distribution (DPGD), Refinery (DREF) and Technology and Communication (DTC). This study applies; ARCH, GARCH, and EGARCH to evaluate the behavior of share price volatility of Pakistan Stock Exchange (PSX) covering the period from Jan. 1 2009 through Dec.31 2016. The main findings suggests that EGARCH or GARCH models are the best fit for all the series as decision making criterion Akaike Information Criterion (AIC) and Schwarz Criterion(SC) are least in these models.</p><p><strong>Keywords: </strong>Volatility, PSX, Stock Index, ARCH</p><p><strong>JEL Classification:</strong> C22</p> |
| first_indexed | 2024-04-10T12:08:58Z |
| format | Article |
| id | doaj.art-3eb4052d845b45b4b50bf14e9703d138 |
| institution | Directory Open Access Journal |
| issn | 2146-4138 |
| language | English |
| last_indexed | 2024-04-10T12:08:58Z |
| publishDate | 2018-03-01 |
| publisher | EconJournals |
| record_format | Article |
| series | International Journal of Economics and Financial Issues |
| spelling | doaj.art-3eb4052d845b45b4b50bf14e9703d1382023-02-15T16:16:05ZengEconJournalsInternational Journal of Economics and Financial Issues2146-41382018-03-01823193243217Modeling Sectoral Stock Indexes Volatility: Empirical Evidence from Pakistan Stock ExchangeCharan Raj Chimrani0Farhan Ahmed1Vinesh Kumar Panjwani2Pakistan Civil Aviation AuthorityShaheed Zulfikar Ali Bhutto Institute of Science & Technology (SZABIST)EFU Insurance Pakistan<p>Modeling volatility in financial markets is one of the factors that results in direct impact and effect on pricing, risk and portfolio management. This study aims to examine the volatility of stock indices in PSX that include; volatility clustering, fat tails and leptokurtosis behavior. To achieve the objective, ADF Unit root test has been performed to check the stationarity and it was concluded from the results that series were stationary at 1st difference. Series taken for this research consists of 11 sectors which includes Commercial Banks (DCB), Cement (DCEM), and Chemicals (DCHEM). Fertilizers (DFER), Investment Banks and Investment Companies (DIB), Insurance (DINS), Oil and Gas (DOG), Power generation and distribution (DPGD), Refinery (DREF) and Technology and Communication (DTC). This study applies; ARCH, GARCH, and EGARCH to evaluate the behavior of share price volatility of Pakistan Stock Exchange (PSX) covering the period from Jan. 1 2009 through Dec.31 2016. The main findings suggests that EGARCH or GARCH models are the best fit for all the series as decision making criterion Akaike Information Criterion (AIC) and Schwarz Criterion(SC) are least in these models.</p><p><strong>Keywords: </strong>Volatility, PSX, Stock Index, ARCH</p><p><strong>JEL Classification:</strong> C22</p>https://www.econjournals.com/index.php/ijefi/article/view/6115 |
| spellingShingle | Charan Raj Chimrani Farhan Ahmed Vinesh Kumar Panjwani Modeling Sectoral Stock Indexes Volatility: Empirical Evidence from Pakistan Stock Exchange International Journal of Economics and Financial Issues |
| title | Modeling Sectoral Stock Indexes Volatility: Empirical Evidence from Pakistan Stock Exchange |
| title_full | Modeling Sectoral Stock Indexes Volatility: Empirical Evidence from Pakistan Stock Exchange |
| title_fullStr | Modeling Sectoral Stock Indexes Volatility: Empirical Evidence from Pakistan Stock Exchange |
| title_full_unstemmed | Modeling Sectoral Stock Indexes Volatility: Empirical Evidence from Pakistan Stock Exchange |
| title_short | Modeling Sectoral Stock Indexes Volatility: Empirical Evidence from Pakistan Stock Exchange |
| title_sort | modeling sectoral stock indexes volatility empirical evidence from pakistan stock exchange |
| url | https://www.econjournals.com/index.php/ijefi/article/view/6115 |
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