Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System
The present research investigates the impact of trading volume on stock return volatility using data from the Greek banking system. For our analysis, the empirical study uses daily measures of volatility constructed from intraday data for the period 5 January 2001–30 December 2020. This period inclu...
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doaj-d67a90de089747e5a6d15f3d6747749b2021-04-28T23:01:43ZengMDPI AGInternational Journal of Financial Studies2227-70722021-04-019242410.3390/ijfs9020024Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking SystemAthanasios Tsagkanos0Konstantinos Gkillas1Christoforos Konstantatos2Christos Floros3Department of Business Administration, University of Patras, University Campus—Rio, P.O. Box 1391, 26504 Patras, GreeceDepartment of Management Science & Technology, University of Patras, Megalou Aleksandrou 1, Koukouli, 26334 Patras, GreeceDepartment of Business Administration, University of Patras, University Campus—Rio, P.O. Box 1391, 26504 Patras, GreeceDepartment of Accounting and Finance, Hellenic Mediterranean University, P.O. Box 1939, 72100 Crete, GreeceThe present research investigates the impact of trading volume on stock return volatility using data from the Greek banking system. For our analysis, the empirical study uses daily measures of volatility constructed from intraday data for the period 5 January 2001–30 December 2020. This period includes several market phases, such as the latest financial crisis, the European sovereign debt crisis and enforcement of restrictions on transactions owing to capital controls on the Athens Stock Exchange in June 2015. Based on the estimated quantile regressions, we find evidence of a direct impact of the trading volume on stock return volatility mainly in all quantiles. The findings extrapolated are of relevance and interest to financial (banking) analysts, policy makers and practitioners concerned with intraday data and volatility modeling.https://www.mdpi.com/2227-7072/9/2/24volatilityvolumerealized measuresintraday dataextreme value theorybanks |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Athanasios Tsagkanos Konstantinos Gkillas Christoforos Konstantatos Christos Floros |
spellingShingle |
Athanasios Tsagkanos Konstantinos Gkillas Christoforos Konstantatos Christos Floros Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System International Journal of Financial Studies volatility volume realized measures intraday data extreme value theory banks |
author_facet |
Athanasios Tsagkanos Konstantinos Gkillas Christoforos Konstantatos Christos Floros |
author_sort |
Athanasios Tsagkanos |
title |
Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System |
title_short |
Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System |
title_full |
Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System |
title_fullStr |
Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System |
title_full_unstemmed |
Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System |
title_sort |
does trading volume drive systemic banks’ stock return volatility? lessons from the greek banking system |
publisher |
MDPI AG |
series |
International Journal of Financial Studies |
issn |
2227-7072 |
publishDate |
2021-04-01 |
description |
The present research investigates the impact of trading volume on stock return volatility using data from the Greek banking system. For our analysis, the empirical study uses daily measures of volatility constructed from intraday data for the period 5 January 2001–30 December 2020. This period includes several market phases, such as the latest financial crisis, the European sovereign debt crisis and enforcement of restrictions on transactions owing to capital controls on the Athens Stock Exchange in June 2015. Based on the estimated quantile regressions, we find evidence of a direct impact of the trading volume on stock return volatility mainly in all quantiles. The findings extrapolated are of relevance and interest to financial (banking) analysts, policy makers and practitioners concerned with intraday data and volatility modeling. |
topic |
volatility volume realized measures intraday data extreme value theory banks |
url |
https://www.mdpi.com/2227-7072/9/2/24 |
work_keys_str_mv |
AT athanasiostsagkanos doestradingvolumedrivesystemicbanksstockreturnvolatilitylessonsfromthegreekbankingsystem AT konstantinosgkillas doestradingvolumedrivesystemicbanksstockreturnvolatilitylessonsfromthegreekbankingsystem AT christoforoskonstantatos doestradingvolumedrivesystemicbanksstockreturnvolatilitylessonsfromthegreekbankingsystem AT christosfloros doestradingvolumedrivesystemicbanksstockreturnvolatilitylessonsfromthegreekbankingsystem |
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