Dynamic Currency Linkages and Their Determinants: An Empirical Study for East Asian Economic Community Region

In this article, Copula GARCH models have been employed to study the inter-temporal process of currency market co-movements between ASEAN+6 countries (referred to in this study as East Asian Economic Community) and ASEAN+6 currency market index. Empirical results show that the sample countries of the region exhibit varying levels of currency co-movements with the Asian benchmark. Markov regime switching results show that many of the countries which had high dependences with the regional currency index as was found in copula estimations had also overlapping currency market cycles. Using Principal Component Analysis, we find that three statistical factors explain exchange rate co-movements which came out to be trade linkages, economic risk, and currency market openness in our dynamic panel data estimation.     

Assessing time-varying stock market integration in Economic and Monetary Union for normal and crisis periods

In this paper, we examine the stock market integration process amongst 17 Economic and Monetary Union (EMU) countries from January 2002 to June 2013 over a normal period as well as for the Global Financial Crisis (GFC) and Eurozone Debt Crisis (EDC) periods. We classify the economies in three groups (A, B and C) based on their GDP to examine whether the economic size influences financial integration. Seven indicators are used for the purpose, namely, beta convergence, sigma convergence, variance ratio, asymmetric DCC, dynamic cointegration, market synchronisation measure and common components approach. The results suggest that large-sized EMU economies (termed as Group A) exhibit strong stock market integration. Moderate integration is observed for middle-sized EMU economies with old membership (termed as Group B). Small-sized economies (termed as Group C) economies seemed to be least integrated within the EMU stock market system. The findings further suggest presence of contagion effects as one moves from normal to crisis periods, which are specifically stronger for more integrated economies of Group A. We recommend institutional, regulatory and other policy reforms for Group B and especially Group C to achieve higher level of integration.     

Information Transmission between Mature and Emerging Equity Markets During Normal and Crisis Periods: An Empirical Examination

In this paper, we examine the price discovery and volatility spillovers between eight mature market economies (MMEs) and eight emerging market economies (EMEs) from January 2003 to July 2014, covering three sub-periods—prior to the 2007–09 global financial crisis (GFC), during the crisis, and post-crisis. The results of price discovery indicate that MMEs lead EMEs in the pre-crisis and post-crisis periods. All MMEs are cointegrated with China in the pre-crisis period but not in the post-crisis period. Dynamic cointegration results reconfirm our findings from Johansen’s co-integration test. The asymmetric dynamic conditional correlation (ADCC-GARCH) coefficients suggest a regional pattern among MMEs and EMEs, except in the case of European MMEs with South Africa. Employing BEKK-GARCH model, we find that volatility spillovers of MMEs with China and of Italy with EMEs weakened in the post-crisis period as compared to the pre-crisis period implying that the GFC damaged the information transmission process, particularly for China and Italy. While China is a large economy with strong trade linkages with the rest of the world, Italy is one of the larger European economies which was in relatively greater distress during the EDC. The findings have implications for policy makers and investors.

     

Information Transmission Between NSE50 Spot and Derivative Platforms in India: An Empirical Study

In this study, we examine the information transmission process between spot, futures and options segments for the NIFTY 50 index. The data is used from 2003 to 2013. Empirical results show that the spot market leads the price discovery process followed by the futures market and then the options market. The spot market again leads in the volatility spillover process while options dominate the futures contracts. There is a univariate skewness spillover from spot as well as futures to the options platform. Further, long term bidirectional kurtosis spillover is observed between spot and futures with former playing a more dominant role.

     

Explaining Size Effect for Indian Stock Market

Using data for BSE 500 companies from October 2003 to January 2015, we confirm the presence of strong size effect in Indian stock market. Controlling for penny stocks, we find that returns decrease almost monotonically with firm size. The findings are robust for alternative size measures, i.e. market capitalization, total assets, net fixed assets, net working capital, net sales and enterprise value. We find the presence of non-synchronous trading bias and reverse seasonality effect. It is observed that market, size, value and business cycle factors explain size effect while liquidity and momentum factors have little role in this process. Thus, rational sources explain the size anomaly in the Indian context.