Samuelson Hypothesis & Indian Commodity Derivatives Market

Samuelson (1965) devised that futures price volatility increases as the futures contract approaches its expiration. The relation amid the volatility and time to maturity has significant inference for hedging strategies. Interestingly, so far the empirical evidence in favor of the Samuelson Hypothesis (maturity effect) is mixed in various markets. Considering no significant work to examine the relationship is so far carried out in commodity derivative markets of India, this paper ordeal the Samuelson Hypothesis on 8 commodities traded on Multi-Commodity Exchange (MCX), India. We have examined the issue by applying different regression techniques to test the hypothesis for 8 commodities (Aluminium, Nickel, Copper, Gold, Silver, Natural Gas, Crude Oil and Wheat) using inter-day data on MCX India. In order to test the Samuelson’s hypothesis, tests have been conducted using a series of GARCH, EGARCH and TGARCH models by including trading volume, open interest and time-to-maturity in the conditional variance equation. From our results, it is concluded that Samuelson’s hypothesis does not hold true for majority of commodity contracts considered. Our results also find that volatility series depend on the trading volume, compared to the time-to-maturity or open interest. As Samuelson hypothesis does not hold true for majority of commodity contracts, traders in Indian commodity derivative markets should not bias their decisions solely based on the time-to-maturity, but should also consider trading volume and open interest as they are an important determinant of price volatility. They should also consider the possibility of leverage effect while predicting future price volatilities, and the associated margin requirements.     

Does capital and financing structure have any relevance to the performance of microfinance institutions?

This paper aims to explore the impact of capital and financing structure on the performance of microfinance institutions (MFIs) from an agency theoretic standpoint. GMM and IV estimations with instruments have been performed using a panel dataset of 782 MFIs in 92 countries for the period 2000–2007. Results confirm the agency theoretic claim that an increase in leverage raises profit-efficiency in MFIs. The study also finds that cost efficiency deteriorates with decreasing leverage. Likewise, the negative significant impact of leverage on depth of outreach can also be explained. However, the study finds that capital structure does not have any noticeable impact on breadth of outreach and neither is it significantly related with women’s participation as loan clients.     

THE RELATIVE INCOME HYPOTHESIS-A CROSS COUNTRY ANALYSIS

This paper presents an attempt to examine the applicability of the relative income hypothesis (RIH) in terms of its various specifications proposed by Duesenberry, Duesenberry, Eckstein and Fromm (DEF), Davis and the authors (MD). Using the time series data for 1951 through 1968 the analysis has been carried out for Canada, Finland, Guatemala, Honduras, India, Japan, Philippines, Sweden, United Kingdom and the United States. It is found that RIH provides a fairly good representation of the consumption behaviour of all the countries included in the study. All specifications, however, do not perform equally well. DEF and Davis functions score the maximum points; MD comes at par with DEF in case of Finland, Guatemala, and India. The original Duesenberry specification performs very poorly. This leads us to conclude that the process of habit formation is continuous contrary to what is implied by Duesenberry's original specification and that consumption is a better indicator of the standard of living than income is. Estimates of the long-run marginal propensities to consume are essentially the same as those computed from the permanent income hypothesis by Singh and Drost [1970]. This lends support to the view that the two hypotheses have essentially the same long-run implications.     

Determinants of Female Fertility in Taiwan, 1966–2001: Empirical Evidence from Cointegration and Variance Decomposition Analysis*

This study investigates the determinants of the fertility rate in Taiwan over the period 1966–2001. Consistent with theory, the key explanatory variables in Taiwan's fertility model are real income, infant mortality rate, female education and female labor force participation rate. The test for cointegration is based on the recently developed bounds testing procedure while the long‐run and short‐run elasticities are based on the autoregressive distributed lag model. Among our key results, female education and female labor force participation rate are found to be the key determinants of fertility in Taiwan in the long run. The variance decom‐position analysis indicates that in the long run approximately 45percent of the variation in fertility is explained by the combined impact of female labor force participation, mortality and income, implying that socioeconomic development played an important role in the fertility transition in Taiwan. This result is consistent with the traditional structural hypothesis.     

ECONOMIC IMPORTANCE OF THE SUGAR INDUSTRY FOR FIJI

For more than a century, the sugar industry has been perceived as the backbone of the Fijian economy, given its contributions to gross domestic product (GDP) and employment generation. However, because of the non-renewal of land leases and the gradual withdrawal of preferential prices by the European Union, the industry is on the verge of collapse. We use the Fiji computable general equilibrium model to simulate the economy-wide impact of a 30% reduction in sugar production. Among our key results, we find that in the long run a 30% reduction in sugar production leads to a 2.1% fall in exports, and government expenditure and real consumption fall by 1.9% and 1.6%, respectively. These declines in the aggregate demand components are reflected in a fall of approximately 1.8% in Fiji's GDP. The negative repercussion of declining economic growth is reflected in a 1.5% decline in real national welfare.     

A comparative analysis of differential consumer response across supermarket and specialty store in the candy category

Retailing industry has undergone tremendous change in its complexity and sophistication over the past few years. Globally we are witnessing the evolution of retailing industry from traditionally micro-managed small retail formats like mom and pop store to modern corporate-managed large retail formats like supermarkets. Consumers are also shopping across these various store formats even for the products in similar categories. In this research, we posit that consumer purchases in the similar categories may very well be characterized by differential responses to marketing mix across different store formats. The proposed model accounts for the influences that these diverse response parameters and preferences have on one another as well as consumer heterogeneity. Our results show that sensitivities to marketing mix as well as correlations in preferences do indeed vary across formats for consumer purchases in similar categories.     

The J‐Curve: Evidence from Fiji*

This article provides new evidence on both long run and short‐run determinants of trade balance for Fiji and investigates evidence of J‐curve adjustment behaviour in the aftermath of a devaluation. We adopt a partial reduced form model that models the real trade balance directly as a function of the real exchange rate and real domestic and foreign incomes. Cointegration analysis is based on a recently developed autoregressive distributed lag approach—shown to provide robust results in finite samples. The long run elasticities are also estimated using a dynamic ordinary least squares approach and the Fully Modified Ordinary Least Squares (FM‐OLS) approach. Amongst our key results we find that there is a long‐run relationship between trade balance and its determinants. There is evidence of the J‐curve pattern; growth in domestic income affects Fiji’s trade balance adversely while foreign income improves it.     

A polynomial goal programming approach to a class of quality control problems

The traditional quality control approach based on statistical tools has been very useful and effective when output and input qualities can be denned in terms of a single characteristic. However, in process industries such as paper, the output quality is denned in terms of two or more distinct characteristics; hence, reducing the deviation of one output characteristic from its permissible limits could result in forcing other output and/or input characteristics to deviate from their respective limits. Compounding this phenomenon is the fact that most of these industries produce substantial amounts of pollutants whose characteristics are a function of the input and output characteristics. Thus, with increasing costs of waste treatment and stringent pollution standards, there arises a notion of a trade-off between attaining market specified output characteristics and meeting federally regulated pollution standards.In this article a general process quality control problem has been formulated that reflects the above trade-off both in terms of a linear and a polynomial goal programming problem. Major advantages and differences between the two formulations are highlighted and illustrated with a practical example drawn from the paper industry.Three separate cases each with different priorities assigned to the output, pollutant and input characteristics are developed and solved under both formulations. Based on the analysis it is observed that the different solutions that result are contingent on the assumptions concerning the priorities associated with each goal and the manner by which one chooses to incorporate tradeoffs between goals in the objective function. Additionally, it is found that the solutions obtained under polynomial goal programming formulation are more conducive for implementation in practical quality control contexts.     

Demographic trends and the impact of family welfare programmes in India

The authors examine population growth trends and evaluate family planning programs in India. They note that despite intensified efforts and government claims of increased acceptance of family planning, the birth rate has remained stationary since 1977.