Measuring Liquidity Risk in an Emerging Market: Liquidity Adjusted Value at Risk Approach for High Frequency Data

The present paper introduces an enhanced liquidity adjusted intraday value at risk measure named the LIVaR applied to a sample of listed securities in an emerging market; namely the Tunis Stock Exchange (BVMT). Very specific econometric tools were used to perform models that suit the statistical pro...

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Main Authors: Rouetbi Emna, Mamoghli Chokri
Format: Article
Language:English
Published: EconJournals 2014-03-01
Series:International Journal of Economics and Financial Issues
Subjects:
Online Access:https://dergipark.org.tr/tr/pub/ijefi/issue/31961/351979?publisher=http-www-cag-edu-tr-ilhan-ozturk
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author Rouetbi Emna
Mamoghli Chokri
author_facet Rouetbi Emna
Mamoghli Chokri
author_sort Rouetbi Emna
collection DOAJ
description The present paper introduces an enhanced liquidity adjusted intraday value at risk measure named the LIVaR applied to a sample of listed securities in an emerging market; namely the Tunis Stock Exchange (BVMT). Very specific econometric tools were used to perform models that suit the statistical properties of the data and to obtain a more realistic and efficient measure. This methodology was applied to intraday data. It was found that in the BVMT, the liquidity risk is very high. It represents about 25% of the total cost supported by a day trader for the most active stocks of the considered sample. It can also reach more than 40% for the less liquid ones. These results reveal how thin the Tunis stock market is.
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spelling doaj.art-6122ff49bec342a5928e3e30ce2db1762023-02-15T16:11:23ZengEconJournalsInternational Journal of Economics and Financial Issues2146-41382014-03-014140531032Measuring Liquidity Risk in an Emerging Market: Liquidity Adjusted Value at Risk Approach for High Frequency DataRouetbi EmnaMamoghli ChokriThe present paper introduces an enhanced liquidity adjusted intraday value at risk measure named the LIVaR applied to a sample of listed securities in an emerging market; namely the Tunis Stock Exchange (BVMT). Very specific econometric tools were used to perform models that suit the statistical properties of the data and to obtain a more realistic and efficient measure. This methodology was applied to intraday data. It was found that in the BVMT, the liquidity risk is very high. It represents about 25% of the total cost supported by a day trader for the most active stocks of the considered sample. It can also reach more than 40% for the less liquid ones. These results reveal how thin the Tunis stock market is.https://dergipark.org.tr/tr/pub/ijefi/issue/31961/351979?publisher=http-www-cag-edu-tr-ilhan-ozturkliquidity intraday value at risk spread acd monte carlo simulation.
spellingShingle Rouetbi Emna
Mamoghli Chokri
Measuring Liquidity Risk in an Emerging Market: Liquidity Adjusted Value at Risk Approach for High Frequency Data
International Journal of Economics and Financial Issues
liquidity
intraday value at risk
spread
acd
monte carlo simulation.
title Measuring Liquidity Risk in an Emerging Market: Liquidity Adjusted Value at Risk Approach for High Frequency Data
title_full Measuring Liquidity Risk in an Emerging Market: Liquidity Adjusted Value at Risk Approach for High Frequency Data
title_fullStr Measuring Liquidity Risk in an Emerging Market: Liquidity Adjusted Value at Risk Approach for High Frequency Data
title_full_unstemmed Measuring Liquidity Risk in an Emerging Market: Liquidity Adjusted Value at Risk Approach for High Frequency Data
title_short Measuring Liquidity Risk in an Emerging Market: Liquidity Adjusted Value at Risk Approach for High Frequency Data
title_sort measuring liquidity risk in an emerging market liquidity adjusted value at risk approach for high frequency data
topic liquidity
intraday value at risk
spread
acd
monte carlo simulation.
url https://dergipark.org.tr/tr/pub/ijefi/issue/31961/351979?publisher=http-www-cag-edu-tr-ilhan-ozturk
work_keys_str_mv AT rouetbiemna measuringliquidityriskinanemergingmarketliquidityadjustedvalueatriskapproachforhighfrequencydata
AT mamoghlichokri measuringliquidityriskinanemergingmarketliquidityadjustedvalueatriskapproachforhighfrequencydata