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Article
Publication date: 4 April 2017

Magda Kandil, Muhammad Shahbaz, Mantu Kumar Mahalik and Duc Khuong Nguyen

Using annual data from 1970 to 2013 for China and India, this paper aims to examine the impact of globalization and financial development on economic growth by…

Abstract

Purpose

Using annual data from 1970 to 2013 for China and India, this paper aims to examine the impact of globalization and financial development on economic growth by endogenizing capital and inflation and drawing comparisons between the two fastest growing emerging market economies.

Design/methodology/approach

In the long run, co-integration test results indicate that financial development increases economic growth in China and India.

Findings

The results also reveal that globalization accelerates economic growth in India but, surprisingly, impairs economic growth in China, as it increases competition for exports. The results furthermore disclose that acceleration in capitalization and inflation, as a proxy for aggregate demand, are positively linked to economic growth in China and India.

Originality/value

Causality test results indicate that both financial development and economic growth are interdependent. In contrast, causality runs from higher economic growth to increased globalization in India, while the results do not support long-term causality between globalization and economic growth in China.

Details

International Journal of Development Issues, vol. 16 no. 1
Type: Research Article
ISSN: 1446-8956

Keywords

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Article
Publication date: 29 July 2014

Mantu Kumar Mahalik, Debashis Acharya and M. Suresh Babu

– The purpose of this paper is to investigate empirically the price discovery and volatility spillovers in Indian spot-futures commodity markets.

Abstract

Purpose

The purpose of this paper is to investigate empirically the price discovery and volatility spillovers in Indian spot-futures commodity markets.

Design/methodology/approach

The study has used four futures and spot indices of Multi-Commodity Exchange, Mumbai. The study also employs vector error correction model (VECM) and bivariate exponential Garch model (EGARCH) to analyze the price discovery and volatility spillovers in Indian spot-futures commodity market.

Findings

The VECM shows that agriculture future price index (LAGRIFP), energy future price index (LENERGYFP) and aggregate commodity index (LCOMDEXFP) effectively serve the price discovery function in the spot market implying that there is a flow of information from future to spot commodity markets but the reverse causality does not exist. There is no cointegrating relationship between metal future price index (LMETALFP) and metal spot price index (LMETALSP). Besides the bivariate EGARCH model indicates that although the innovations in one market can predict the volatility in another market, the volatility spillovers from future to the spot market are dominant in the case of LENERGY and LCOMDEX index while LAGRISP acts as a source of volatility toward the agri-futures market.

Research limitations/implications

The results are aggregate in nature. Further study at disaggregated level will provide further insights on behavior of specific commodity prices and the price discovery process.

Originality/value

The paper provides useful information about the evolution and structures of futures commodity trading in India, related literature and relevant methodology concerning the hypotheses.

Details

Journal of Advances in Management Research, vol. 11 no. 2
Type: Research Article
ISSN: 0972-7981

Keywords

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