The role of time‐varying rare disaster risks in predicting bond returns and volatility

This paper aims to provide empirical evidence to the theoretical claim that rare disaster risks affect government bond market movements. Using a nonparametric quantiles‐based methodology, we show that rare disaster‐risks affect only volatility, but not returns, of 10‐year government bond of the United States over the monthly period of 1918:01 to 2013:12. In addition, the predictability of volatility holds for the majority of the conditional distribution of the volatility, with the exception of the extreme ends. Moreover, in general, similar results are also obtained for long‐term government bonds of an alternative developed country (UK) and an emerging market (South Africa).     

Answering key questions on green consumption: A qualitative study among Indian youth

The main objectives of this study are to (a) comprehend the definition of green consumption, (b) identify the products that are considered green by consumers, (c) understand the reasons behind green product consumption, and (d) decipher the possible implications of consuming green. To achieve these objectives, information‐rich young consumers were depth interviewed. Subsequently, thematic maps were developed using thematic analysis technique. In that, three major themes emerged as (a) personal factors, (b) social factors, and (c) environmental factors. These findings have implications primarily for scholars as this paper advances prior literature on the theory of planned behavior by looking at green consumption through the lens of young Indians. Also, it has implications for marketers as they may formulate strategies to market their green products on the basis of the factors identified in the paper.     

Evaluation and Selection of Sustainable Strategy for Green Supply Chain Management Implementation

The aim of this study is to explore the implementation of green supply chain management (GSCM) strategies and to select the best GSCM strategy using fuzzy analytical network process (ANP) methodology. The ANP helps in analyzing the interdependence and interrelations among the various determinants and dimensions of GSCM strategy selection. Fuzzy set theory is applied to avoid the vagueness and uncertainty in human preference judgement. This study uses an empirical case study of an Indian automobile organization to validate the applicability of the proposed model. The results show that the resource based strategy is in first position, having the maximum impact on each determinant. The case organization should improve the green management system with the assistance of a suitable GSCM strategy, i.e. the resource based strategy. This study may help managers to make decisions, and to analyze and standardize their environmental advantages dynamically. The robustness of the projected model is checked by conducting a sensitivity analysis. Copyright © 2018 John Wiley & Sons, Ltd and ERP Environment     

Are BRICS exchange rates chaotic?

In this paper, we focus on the stochastic (chaotic) attributes of the US dollar-based exchange rates for Brazil, Russia, India, China and South Africa (BRICS) using a long-run monthly dataset covering 1812M01-2017M12, 1814M01-2017M12, 1822M07-2017M12, 1948M08-2017M12, and 1844M01-2017M12, respectively. For our purpose, we consider the Lyapunov exponents, robust to nonlinear and stochastic systems, in both full – samples and in rolling windows. For comparative purposes, we also evaluate a long-run dataset of a developed currency market, namely British pound over the period of 1791M01-2017M12. Our empirical findings detect chaotic behavior only episodically for all countries before the dissolution of the Bretton Woods system, with the exception of the Russian ruble. Overall, our findings suggest that the establishment of the free floating exchange rate system have altered the path of exchange rates removing chaotic dynamics from the phenomenon, and hence, the need for policymakers to intervene in the currency markets for the most important emerging market bloc, should be carefully examined.     

An exploratory study of product development in emerging economies: evidence from medical device testing in India

Recent research has studied innovation in emerging economies. However, microlevel product development processes in these economies are relatively unexplored, and the mechanisms by which the emerging economy context might affect such processes are still unclear. In this paper, we explore the testing routines fundamental to product development in one emerging economy. Based on an exploratory field study of medical device development projects in India, we observe the frequent, iterative testing of prototypes in clinical settings and investigate the related learning process. The observed testing approach is distinctly different from the comparatively linear and sequential approach adopted by medical device development teams in developed countries like the United States. Further, we suggest that such testing is feasible in India because of the prevailing regulatory flexibility, the cognitive orientation of device development practitioners and the normative orientation of medical professionals.     

A generalized correlated binomial distribution with application in multiple testing problems

A typical microarray experiment often involves comparisons of hundreds or thousands of genes. Since a large number of genes are compared, simple use of a significance test without adjustment for multiple comparison artifacts could lead to a large chance of false positive findings. In this context, Tsai et al. (Biometrics 59:1071–1081, 2003) have presented a model that studies the overall error rate when testing multiple hypotheses. This model involves the distribution of the sum of non-independent Bernoulli trials and this distribution is approximated by using a beta-binomial structure. Instead of using a beta-binomial model, in this paper, we derive the exact distribution of the sum of non-independent and non-identically distributed Bernoulli random variables. The distribution obtained is used to compute the conditional false discovery rates and the results are compared to those obtained, in Table 3, by Tsai et al. (Biometrics 59:1071–1081, 2003).     

出口下滑不是中国经济的末日，提高生产率是增长的最大动力

【美国《商业周刊》4月20日】出口真实贡献度远小于内需贡献度 出口对中国经济增长的推动作用被夸大了。与此相应的是,认为出口增速减缓将使中国经济陷入停滞的观点也是不成立的。事实真相隐藏在经济数据之中。     

Parental altruism and child labor: examining the historical evidence from the United States

Parsons and Goldin (in Econ Inq 637?C659, 1989) use the US Commissioner of Labor Survey of (1890) to argue that many American parents sacrificed the future earnings of their children by sending them to work rather than to school. We analyze the same data and argue that parental choices were dictated by constraints rather than the desire to exploit child labor opportunities. We also find significant income effects on child labor supply, indicating that affluence played an important part in the decline of child labor. The coexistence of positive assets with child labor is not inconsistent with parental altruism, indicating instead a failure of perfect two-sided altruism.