Financial Liberalization and Allocation of Capital: Dark Side of the Moon

Although it is well established that financial liberalization leads to a positive ‘quantity effect’ with higher levels of investment, it remains uncertain whether it also improves the efficacy with which such investment funds are allocated. This paper contributes to this sparely researched aspect of liberalization (‘quality effect’) by carefully examining if the financial reforms in India have led to an improvement in the allocation of resources. Since one of the premises of better allocation is that funds are channelled to firms with higher marginal returns to capital (measured by Tobin’s Q), we propose three unique measures to track the efficiency of resource allocation: (a) dispersion-based measures; (b) the allocative efficiency index; and (c) the relative value of allocation. Contrary to the prevalent assumption that financial liberalization leads to higher capital allocation efficiency, this study’s findings could not establish a direct correlation between the opening up of markets and higher allocation efficiency, except for the latter part of the reform period. Further, this paper draws attention to the greater misallocation of funds in the post-reform period, as the increase in funds availability leads to excess capacity creation in some industries without consideration of the need for concurrent return or demand. The authors of this paper recommend that any financial liberalization needs to be accompanied by the setting up of institutions for corporate control, particularly in an emerging market like India.

     

Determinants of corporate borrowing: Some evidence from the Indian corporate structure

In contrast to previous empirical work on capital structure, which is mainly confined to the United States and a few other advanced countries, this paper attempts to study the capital structure choice of developing countries through a case study of the Indian corporate sector. The paper shows that the optimal capital structure choice is influenced by factors such as growth, cash flow, size, and product and industry characteristics.     

Resilient Growth: Fantasy Plans and Unplanned Developments in India's Flood‐Prone Coastal Cities

Academic and policy literatures on urban climate resilience tend to emphasize ‘good planning’ as the primary means for addressing the growing risk of flooding in Asia's coastal megacities. Cities have come to rely on disaster and climate resilience plans to future‐proof their landscapes and protect vulnerable populations. Yet while data is collected, models are built and plans are drafted, environmentally destructive development practices continue unabated and often unchallenged. This article examines and seeks to explain the contradictions between a growing awareness of the risks of climate‐induced flooding in resilience plans and the continuation of development practices widely acknowledged to exacerbate those risks. It analyzes these contradictions in the context of Mumbai and Kolkata, India's largest coastal cities, which are facing the severest threats from climate‐induced flooding. Based on analyses of key resilience planning documents and both planned and unplanned developments in some of Mumbai's and Kolkata's most ecologically sensitive areas, our analysis reveals that resilience planning, promoted by the central government and international consultants, and presented in locally produced ‘fantasy plans’, fails to address the risks of climate‐change‐related flooding owing to tendencies to sidestep questions of politics, power and the distributional conflicts that shape urban development. We conclude that efforts to reduce urban flood risk would benefit from the research, methods and analytic concepts used to critically study cities, but significant gaps remain between these fields.     

Stock prices, inflation and output: Evidence from wavelet analysis

The negative relationship between real stock return and inflation puzzled many as it contradicts conventional Fisherian wisdom. Fama [Fama, E.F. (1981), “Stock returns, real activity, inflation and money”, American Economic Review, 71(September), 545–564.] gave an explanation for this negative relationship with two propositions that links real stock return and inflation through real output. This study revisits Fama's hypothesis for India in the post-liberalized period from a developing country perspective. Examining this relationship on the time-scale decomposition from a wavelet multi-resolution analysis suggests that Fama's hypothesis holds only for the long time scale and remains as a puzzle for the other time scales.     

Inflation Forecast: Just use the Disaggregate or Combine it with the Aggregate

Journal of Quantitative Economics - Using data from India, the paper provides three stylize facts about the inflation forecasting: (a) using disaggregate data helps to achieve gains in forecast...     

Correlation dynamics in equity markets: evidence from India

This study is aimed at understanding the correlation dynamics of the equity markets from a developing country perspective using daily data from July 1997 to August 2006. A simple unconditional correlation estimate and dynamic time varying correlation estimate from a DCC-MVGARCH of Engle and Sheppard (2001) are derived for S&P CNX Nifty and other 10 world indices that includes four developed and six Asian country indices. The results show low correlation across S&P CNX Nifty with both Asian and developed nations. In addition a Logistic Smooth Transition Regression (LSTR) model is implemented and finds that the S&P CNX Nifty index is moving towards a better integration with other world markets but not at a very noteworthy phase. The low correlation provides space for the global funds to diversify risk in Indian markets.