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1 – 4 of 4Radhika Prosad Datta and Ranajoy Bhattacharyya
The purpose of this paper is to determine whether foreign exchange markets in India have become more efficient over time. There were two major developments in India’s foreign…
Abstract
Purpose
The purpose of this paper is to determine whether foreign exchange markets in India have become more efficient over time. There were two major developments in India’s foreign exchange market since the 1980s: first, a shift in foreign exchange management regime from a basket peg to a free float; and second, a rapid phase of economic liberalization since the mid-1990s. The paper attempts to find out whether the market efficiency of foreign exchange markets is affected by these developments. The paper mainly uses the well-known Hurst exponent calculated through corrected empirical R over S analysis to determine whether the exchange rates possess long memory. The robustness of the method is tested by calculating the Hurst exponent through two other prevalent methods in the literature.
Design/methodology/approach
The authors apply the corrected empirical Hurst exponent which employs the Anis Lloyd correction with the modification suggested by Weron. The sensitivity of the results is then tested by replicating the calculations using the detrended fluctuation analysis and Robinson’s method.
Findings
All the methods show that: first, there is no significant change in the overall efficiency of the foreign exchange market vis a vis the US$ for the time period from 1980 to 2017. Second, neither regime shifts nor calculations over sub-time periods is able to identify significant change in the efficiency level of the market for the US$ exchange rate. Third, efficiency of different exchange rate markets are different over the time period 1999–2017. The US$ market has unequivocally more long run memory compared to the GBP, Yen and EURO markets. Fourth, the results are robust to the method used for calculations.
Originality/value
Does the efficiency of asset markets evolve over time? This paper attempts to answer this question. In the process, the paper studies the effect of regime shifts and progressive globalization on the ability of the market to internalize information.
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Ranajoy Bhattacharyya and Riddhi Chatterjee
A country is vulnerable when it is susceptible to shocks. This chapter uses data from 34 developing countries to investigate vulnerability trends for them since the 1990s. We find…
Abstract
A country is vulnerable when it is susceptible to shocks. This chapter uses data from 34 developing countries to investigate vulnerability trends for them since the 1990s. We find that the level of economic development is inversely related to macroeconomic vulnerability. The countries that became less primarily vulnerable belong to the upper middle-income and middle-income groups; the reverse is true for most vulnerable countries up to 2014. Argentina and Papua New Guinea became more vulnerable from 2016 to 2020. Income plays a crucial role in deciding vulnerability in the globalization era. Geographical location is a key factor in measuring vulnerability, especially in African countries. But the reverse result took place in the de-globalization era. The majority of the upper middle-income and lower middle-income countries are among the most vulnerable. Surprisingly, lower-income groups include the nations with significantly lower IMV values.
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Sagnik Bagchi and Surajit Bhattacharyya
This paper aims to explore whether India’s export basket in the bilateral intra-industry trade (IIT) with two of its top trading partners characterize robust export earnings or…
Abstract
Purpose
This paper aims to explore whether India’s export basket in the bilateral intra-industry trade (IIT) with two of its top trading partners characterize robust export earnings or not. This is pertinent for two reasons. First, India has a persistent problem of current account deficit for over decades now. Second, whether India’s export diversification strategy by participating in global value chains to improve export share in the world market led to the problem of the fallacy of composition.
Design/methodology/approach
This study considers bilateral trade data between India-USA and India-China at the HS-6 digit level over the period 1990–2018. The magnitude of total IIT is computed using the Grubel and Lloyd (1971) index. This paper then uses the unit value dispersion criterion to disentangle the magnitude of total IIT into horizontal and vertical IIT. Through a stepwise econometric exercise, this paper explores the attributes of exported goods in the IIT basket in terms of the directions of ToT, export share and export-price elasticity.
Findings
Across the two country pairs, the major contributors to the upsurge in IIT are five manufacturing industry groups of chemical, plastics and rubber, textiles, base metals and machinery and mechanical appliances. Across the industry groups, the dominant form of IIT has been low vertical IIT. Most of the industry groups do not characterize robust export earnings as the commodity groups have an elastic demand and an increasing trend of Terms of Trade (ToT). The exceptions are the industry groups of chemicals and textiles in India-China and India-USA, respectively.
Research limitations/implications
The concern of slim export earnings in most industry groups offers scepticism in maintaining the sustainability of the current account. The problem of the fallacy of composition also cannot be ruled out given the dominance of low vertical IIT. This study argues that these industry groups need to engage in labour market reforms and require access to easy credit to achieve competitiveness in the world market.
Originality/value
The analysis performed in this paper attempts to integrate the Prebisch-Singer hypothesis in the context of IIT. Empirical evidence to such an issue is not profound.
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