Revisiting the threshold effect of remittances on total factor productivity growth in South Asia: a study of Bangladesh and India

Both Bangladesh and India are among the top recipient of remittances in absolute terms. However, in relative terms – remittances as a per cent of GDP – the two countries stand at 6.1% and 2.8%, respectively, well below the levels of the top 10 recipients. In this article, we explore the effect of remittances on the total factor productivity (TFP) growth considering Bangladesh and India, as reference countries over the periods 1980–2012 and 1977–2012, respectively. We examine the presence of a long-run association between remittances and TFP using a number of tests. The results indicate that remittances have threshold effects on TFP growth in both countries. Despite the two countries receiving substantial amount of remittances, we note that Bangladesh has a U-shaped relationship whereas India has an inverted U-shaped relationship with TFP growth. For Bangladesh, a minimum threshold of remittances (% GDP) is 5.3% and for India, a tipping point of remittances (% GDP) is at 1.8%. The causality tests confirm a bidirectional effect, which implies that remittances and TFP growth are mutually reinforcing. Interestingly, while the two economies have similar remittances impact in regards to causality, the study highlights two different tipping points of remittances.     

Design for the environment: An ontology-based knowledge management model for green product development

Through appropriate operations and policies, such as green processes and product development process (PDP), companies can respond to environmental sustainability. To remain competitive, one such approach, Design for X (DFX), involves considering different environment and sustainable strategies through different factors Xs. With regard to the availability of different DFX techniques that consider environmental issues, the decision as to which approach needs to be adopted remains absent. This paper aims at presenting an overview from 1980 to 2020 of the developed research, applications, and DFX techniques for assessing green issues. Selected DFX techniques are linked with strategies used in organizations. Following a literature analysis, a collaborative knowledge-based framework that addresses the design concepts needed to assess environmental, safety, and health concerns in the development of green products is proposed. Furthermore, as a pillar for considering the Semantic Web and an evolving approach linked with natural language processing (NLP) and artificial intelligence (AI), an ontology-based knowledge management model for green assessment is developed for the representation, acquisition, organization, and capitalization of knowledge in a computer interpretable manner. The findings are useful for both managers and practitioners as they provide a coherent domain ontology that can help them manage knowledge, improve teamwork, and make decisions in a collaborative green PDP. Besides, an understanding of the essential design considerations that are required to implement environmental, safety, and health issues, as well as competencies used in the PDP is presented. Key barriers, managerial and strategic implications, and mitigation actions are also identified in this paper.     

Analysing the roadblocks of circular economy adoption in the automobile sector: Reducing waste and environmental perspectives

The automobile industry is one of the most rapidly growing sectors in our society. The increase in demand for vehicles drives the growth of the automobile sector worldwide. Fabrication of vehicles consumes an enormous amount of water, energy and resources, thereby increasing carbon emissions. Nonbiodegradable and manufacturing waste after the end of life usage results in a significant contribution to incineration, landfills, air acidification and water eutrophication. The adoption of circular economy (CE) initiatives can play a significant role in dealing with increasing waste and environmental pollution. The main goal of CE is to recycle and reuse materials to reduce waste and also to minimise environmental impacts. This article strongly supports the adoption of CE in the Indian automobile industry. For the successful adoption of CE in the Indian automobile sector, first, it is important to analyse roadblocks to the adoption. Twenty potential roadblocks towards the adoption of CE have been identified from a literature review and in consultation with experts in the field. To capture the vagueness of the data and to carry out a robust analysis, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method with Fuzzy theory is employed. The results reveal that roadblock ‘lacking ability to deliver high-quality remanufactured products’ is ranked first among all considered roadblocks. This study will help the Indian automobile industry, decision makers, research practitioners and government officials develop effective strategies for adopting CE in Indian automobile companies. A sensitivity analysis has been conducted to validate the stability of results.     

Twenty‐five years of Review of Financial Economics: A bibliometric overview

The Review of Financial Economics (RFE) has published empirical research covering all areas of financial economics since 1994. It celebrated its silver jubilee year of publishing in 2018. Using bibliometric techniques, we analyze the journal's impact, its prominent topics and most prolific authors including their affiliated institutions and countries. We also identify the bibliographic couplings of authors and their affiliated institutions and countries, co‐citations of journals, and co‐occurrences of the authors’ specified keywords. Our results show that about 83% of the published works receiving at least one citation between 1994 and 2018 and about 68% are co‐authored. Among the important themes discussed in RFE, the words “stock”, “market,” and “risk” occupy central positions in RFE publications. Bibliographic coupling analysis identifies six clusters: (a) macroeconomic indicators, (b) investments, (c) financial institutions, (d) stock market, (e) corporate governance, and (f) corporate financial decisions.     

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.     

Relative Social Status and Conflicting Measures of Poverty: A Behavioral Analytical Model

Journal of Quantitative Economics - We consider a situation where the relatively ‘poor’ are concerned about their relative income status with respect to a relevant reference group. Such...     

BOUNDARY EVOLUTION EQUATIONS FOR AMERICAN OPTIONS

We consider the problem of finding optimal exercise policies for American options, both under constant and stochastic volatility settings. Rather than work with the usual equations that characterize the price exclusively, we derive and use boundary evolution equations that characterize the evolution of the optimal exercise boundary. Using these boundary evolution equations we show how one can construct very efficient computational methods for pricing American options that avoid common sources of error. First, we detail a methodology for standard static grids and then describe an improvement that defines a grid that evolves dynamically while solving the problem. When integral representations are available, as in the Black–Scholes setting, we also describe a modified integral method that leverages on the representation to solve the boundary evolution equations. Finally we compare runtime and accuracy to other popular numerical methods. The ideas and methodology presented herein can easily be extended to other optimal stopping problems.