Theoretical and Applied Economics
No. 4 / 2019 (621), Winter
Volatility experience of major world stock markets
Sri Sathya Sai Institute of Higher Learning, Andhra Pradesh, India
R. Prabhakara RAO
Sri Sathya Sai Institute of Higher Learning, Andhra Pradesh, India
Abstract. The stock markets are characterized with relatively higher returns and higher risk & uncertainty, which reflect in the volatility that has been increasing day by day, especially, after the globalization and integration of capital markets. Volatility is an important input to many investment decisions and portfolio selection. A reliable technique for modelling stock market volatility is crucial for effective hedging of stock market risk. There are several studies about the volatility in individual stock markets. However, there are very few studies about the volatility in a group of stock markets as developed, emerging and frontier markets. This paper aims at examining the volatility experiences, informational asymmetries and leverage effects in the major developed, emerging and frontier markets. The daily returns of stock indices of twenty-four markets have been considered from 2000 to 2018. This study observes that all the markets confirm the stylized facts of the financial time series. The volatility is highly persistent in all the markets, informational asymmetries and leverage effects exist in the developed and emerging markets, whereas the frontier markets do not exhibit any tendencies of informational asymmetries and leverage effects except the stock market of Argentina.
Keywords: stock market, risk, volatility, asymmetries, leverage effect, impact curves.
Contents
- Expanding the Eurozone. The stage of economic convergence
for Bulgaria, Czech Republic, Croatia, Hungary,
Poland and Romania
Iulian Nicolae VASILOIU
- Volatility experience of major world stock markets
M. MALLIKARJUNA
R. Prabhakara RAO
- Unemployment hysteresis analysis for OECD countries
Muhammed TIRAŞOĞLU
- Culture as a driving factor for foreign direct investments
in the Western Development Region of Romania
Norbert FÖLDI
- A Deep Neural Network (DNN) based classification model
in application to loan default prediction
Selçuk BAYRACI
Orkun SUSUZ
- The new Keynesian Phillips Curve.
Implications. Strengths and weaknesses
Rareș-Petru MIHALACHE
Dumitru Alexandru BODISLAV
- Corporate ownership structure and performance:
An enquiry into India
Pradiptarathi PANDA
Jinesh PANCHALI
- Turkey’s macroeconomic policy challenges
in the aftermath of the 2018 crisis:
A sectoral financial balances analysis
Sashi SIVRAMKRISHNA
Dhruva Teja NANDIPATI
- Main aspects on the nature of dynamic models
Constantin ANGHELACHE
Dana Luiza GRIGORESCU
Oana BÎRSAN
- An analyses model
of the Romanian privately managed pension system
Dragoș Alexandru HAȘEGAN
- Dynamic models used in analysis capital and population
Mădălina-Gabriela ANGHEL
Ștefan Virgil IACOB
Gabriel-Ștefan DUMBRAVĂ
Marius POPOVICI
- Poverty rate determinants
in the Central and Eastern Europe member states
Maria-Daniela TUDORACHE
- Wagner versus Keynesian Hypothesis:
Role of aggregate and disaggregate expenditure in Pakistan
Kashif MUNIR
Wajid ALI
- GARCH based VaR estimation:
An empirical evidence from BRICS stock markets
Siva Kiran GUPTHA. K
Prabhakar RAO. R
- Does FDI substitute exports of home country?
A case of US FDI in select Asian economies
Ketan C. LIMAYE
Achut P. PEDNEKAR
- Exploring the role of institutions
in cross country Malmquist productivity analysis:
A two-stage double bootstrap DEA approach
Danish Ahmed SIDDIQUI
Qazi Masood AHMED
- The validity of Okun’s Law:
Evidences from Indian economy
Tariq Ahmad BHAT
Tariq Ahmad LONE
Towseef Mohi Ud DIN