The objective of banking sector reforms in India was in line with the overall goals of the 1991 economic reforms of opening an economy, giving a greater role to markets in setting prices and allocating resources, and increasing the role of private sector. In the following years, reforms covered...

This paper proposes a multivariate distance nonlinear causality test (MDNC) using the partial distance correlation in a time series framework. Partial distance correlation as an extension of the Brownian distance correlation calculates the distance correlation between random vectors X and Y...

Multivariate Time Series plays a major part in statistics, signal processing, pattern recognition, econometrics, weather forecasting and earthquake prediction etc. It is very tedious task to select the appropriate technique to visualize the high-dimensional data in order to get insight or...

Because multivariate autoregressive models have failed to adequately account for the complexity of neural signals, researchers have predom- inantly relied on non-parametric methods when studying the relations between brain and behavior. Using medial temporal lobe (MTL) recordings from 96...

Financial markets for Liquified Natural Gas (LNG) are an important and rapidly-growing segment of commodities markets. Like other commodities markets, there is an inherent spatial structure to LNG markets, with different price dynamics for different points of delivery hubs. Certain hubs support...

Purpose – This paper aims to study the influence of innovation on micro, small and medium-sized enterprises (MSME) performance in Colombia through the 403 MSMES survey analysis. In particular, this paper measures the effect of participation in R&D alliances, product innovation and process...

Using the longitudinal Workplace and Employee Survey of Canada, we examine the association between the provision of work-life benefits and various employment outcomes in the Canadian labour market. Whilst the theory of compensating wage differentials hypothesizes an inevitable trade-off between...

In this paper we show how to apply Bayesian methods to noisy ratio scale distances for both the classical similarities problem as well as the unfolding problem. Bayesian methods produce essentially the same point estimates as the classical methods but are superior in that they provide more...