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In this paper, we examine the dynamic nature of equity market integration for the South Asian countries. The daily data for local equity indices are used from 6 January 2004 to 31 March 2015. Copula GARCH models and Diebold and Yilmaz methodology have been employed to study the inter-temporal process of equity market integration. Empirical results show that the sample countries of the region exhibit very little or no levels of integration between them. Equity portfolio flows within the South Asian region reconfirms this trend for low integration in the region. Further, trend analysis of the fundamental determinants of financial integration for the SAARC countries was performed and the same was compared with its neighbouring regional economic bloc in Asia i.e. ASEAN + 6. It indicated that SAARC countries have to show sincere political commitment and require collaboration in efforts of policy realignment to work on their governance parameters, improve on their trade linkages and trade tariffs and develop their equity market infrastructure to achieve higher levels of financial integration. The paper contributes to the International Finance literature, especially dealing with regional economic blocs and has important implications for policy-makers, portfolio managers and academia.

In this paper, we examine the dynamic nature of equity market integration for the South Asian countries. The daily data for local equity indices is used from 6 January 2004 to 31st March 2015. Copula GARCH models have been employed to study the inter-temporal process of equity market integration. Empirical results show that the sample countries of the region exhibit very little or no levels of integration between them. Equity portfolio flows within the South Asian region reconfirm the findings based on price data that regional integration is strengthening over time. Further, trend analysis of the fundamental determinants of financial integration for the SAARC member states indicated that these countries have to work on their governance parameters, improve on their trade linkages and trade tariffs and develop their equity market infrastructure to achieve higher levels of financial integration as is observed by its neighbouring ASEAN+6 group members. The paper contributes to the International Finance literature, especially dealing with regional economic blocs by suggesting that South Asian member countries require collaboration in efforts of policy realignment and above all political commitment to make their alliance viable enough to enhance equity market integration

In this paper, we examine the dynamic nature of equity market integration for the South Asian countries. The daily data for local equity indices is used from 6 January 2004 to 31st March 2015. Copula GARCH models have been employed to study the inter-temporal process of equity market integration. Empirical results show that the sample countries of the region exhibit very little or no levels of integration between them. Equity portfolio flows within the South Asian region reconfirm the findings based on price data that regional integration is strengthening over time. Further, trend analysis of the fundamental determinants of financial integration for the SAARC member states indicated that these countries have to work on their governance parameters, improve on their trade linkages and trade tariffs and develop their equity market infrastructure to achieve higher levels of financial integration as is observed by its neighbouring ASEAN+6 group members. The paper contributes to the International Finance literature, especially dealing with regional economic blocs by suggesting that South Asian member countries require collaboration in efforts of policy realignment and above all political commitment to make their alliance viable enough to enhance equity market integration

Purpose
– The purpose of this paper is to examine the price discovery and volatility spillovers in spot and futures prices of four currencies (namely, USD/INR, EURO/INR, GBP/INR and JPY/INR) and between futures prices of both stock exchanges namely, Multi-Commodity Stock Exchange (MCX-SX) and National Stock Exchange (NSE) in India.


Design/methodology/approach
– The study applies cointegration test of Johansen's along with VECM to investigate the price discovery. GARCH-BEKK model is used to examine the volatility spillover between spot and futures and between futures prices. The other two models namely, constant conditional correlation and dynamic conditional correlation are used to demonstrate the constant and time-varying correlations. In order to confirm the volatility spillover results, the study also applies test of directional spillovers suggested by Diebold and Yilmaz (2009, 2012).


Findings
– The results of the study show that there is long-term equilibrium relationship between spot and futures and between futures markets. Between futures and spot prices, futures price appears to lead the spot price in the short-run. Volatility spillover results indicate that the movement of volatility spillover takes place from futures to spot in the short-run while spot to futures found in the long-run. However, the results of between futures markets exhibit the dominance of MCX-SX over NSE in terms of volatility spillovers. By and large, the findings of the study indicate the important role of futures market in price discovery as well as volatility spillovers in India's currency market.


Practical implications
– The results highlight the role of futures market in the information transmission process as it appears to assimilate new information quicker than spot market. Hence, policymakers in emerging markets such as India should focus on the development of necessary institutional and fiscal architecture, as well as regulatory reforms, so that the currency market trading platforms can achieve greater liquidity and efficiency.


Originality/value
– Due to recent development of currency futures market, there is dearth of literature on this subject. With the apparent importance of currency market in recent time, this study attempts to study the efficient behavior of currency market by way of examining the price discovery and volatility spillovers between spot and futures and between futures prices of four currencies traded on two platforms. The study has strong implications for India's stock market especially at the time when its currency is under great strain owing to the adverse impact of global financial crisis.

We combine corporate attributes and fundamental factors for evolving different investment strategies using data from 200 companies listed in the National Stock Exchange (NSE) from 2005 to 2018. The results indicate the existence of equity market anomalies based on size, volume, earnings, cash flow variability, asset growth, price momentum, price-to-book ratio and profitability. The performance of trading strategies is sensitive to portfolio construction procedure, that is, forming 5/10/20 portfolios. Bivariate strategies generally perform better than univariate strategies in the Indian context. On an overall basis, the size-based strategy performs best with a mean excess return of 3.63 per cent per month. We further find that corporate fundamentals such as profitability, operating efficiency, liquidity, solvency, innovation and entry barriers help in filtering poor future performers that may have been recommended by attributes-based strategy. Our filtered portfolios based on firm attributes and corporate fundamentals outperform unfiltered portfolios, and their returns are not explained by multi-factor performance benchmarks.

AbstractThis study tests for the presence of nonlinear dependence and deterministic chaos in the rate of returns series for six Indian stock market indices. The overall result of our analysis suggests that the returns series do not follow a random walk process. Rather it appears that the daily increments in stock returns are serially correlated and the estimated Hurst exponents are indicative of marginal persistence in equity returns. Result from the test of independence on filtered residuals suggests that the existence of nonlinear dependence, at least to some extent, can be attributed to the presence of conditional heteroskedasticity. It appears, therefore, that low order GARCH‐type models can adequately explain some, but not all, of the observed nonlinear dependence in the data. Further, we find very little evidence to support the proposition that returns are generated by a chaotic system. Only in two out of six cases the results are supportive of sensitive dependence on initial condition, which indicates chaos. Presence of chaos in market indices implies that profitable nonlinearity based trading rules may exist at least in the short‐run. Finally, fairly contrary to the findings of previous studies, rejection of random walk hypothesis offers some possibility of returns predictability.

Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of Figures -- List of Tables -- Notes on Contributors -- Preface -- Acknowledgements -- List of Abbreviations -- Introduction -- 1 South Asian Integration: An Overview -- 2 Economic and Financial Integration In the South Asian Region: A Survey -- 3 On the Determinants of Economic Integration in Saarc Countries: A Macroeconomic Perspective -- 4 Factors Influencing the Saarc's Bilateral Trade : Evidence from Spatial Econometrics Models -- 5 Understanding the Business and Financial Cycles' Interdependence in Saarc Countries -- 6 Dynamics of Stock Market Integration in the South Asian Region -- 7 Interdependencies Amongst Short- and Long-Term Debt Markets of South Asia -- 8 Currency Linkages Across the South Asian Economies -- 9 Banking System Integration in South Asia -- 10 Role of China in South Asian Financial Integration -- Appendix A: Spatial Econometric Model -- Appendix B: Diebold & -- Yilmaz Methodology -- Appendix C: Copula Models for Dependence -- References -- Index.