Search results for "Emerging"
showing 10 items of 640 documents
Taxation in Emerging Market and Middle-Income Economies: Similarities and Differences Between Countries from Europe and Central Asia
2018
The studies and the research from specialty literature demonstrate that a free-open policy and an efficient governance of the economy are the basic pillars for economic and social growth, taxation having an essential role in the life of any nation. A fiscal system based on horizontal and vertical equity, stability, predictability, and efficiency contributes significantly to the sustainability of public finances. Based on these considerations, through this article, we will highlight the main similarities and differences in the field of taxation at the level of countries that are included in the emerging market and middle-income economies category from Europe and Central Asia, to identify bes…
The Role of Geographic Technologies in the Measure of Spatial Equity. Twenty-First Century Solutions for Old Geographical Issues
2019
In Western societies, the development of the Welfare State has been accompanied by the proposal of different models of spatial organisation that help to improve spatial equity, this being a priority object of all public policy because it clearly contributes to the achievement of a greater social cohesion. Geography has contributed, from Christaller to the present, to propose territorial models that help to optimise the location of activities and services, using spatial statistics and digital cartography. At present, the study of spatial equity is again receiving the attention of the academy, in particular as regards the provision of public services and facilities in urban and metropolitan a…
Testing for financial contagion between developed and emerging markets during the 1997 East Asian crisis
2005
In this paper we examine whether during the 1997 East Asian crisis there was any contagion from the four largest economies in the region (Thailand, Indonesia, Korea and Malaysia) to a number of developed countries (Japan, UK, Germany and France). Following Forbes and Rigobon, we test for contagion as a significant positive shift in the correlation between asset returns, taking into account heteroscedasticity and endogeneity bias. Furthermore, we improve on earlier empirical studies by carrying out a full sample test of the stability of the system that relies on more plausible (over) identifying restrictions. The estimation results provide some evidence of contagion, in particular from Japan…
A computational proposal for a robust estimation of the Pareto tail index: An application to emerging markets
2022
Abstract In this work, we backtest and compare, under the VaR risk measure, the fitting performances of three classes of density distributions (Gaussian, Stable and Pareto) with respect to three different types of emerging markets: Egypt, Qatar and Mexico. We also propose a new technique for the estimation of the Pareto tail index by means of the Threshold Accepting (TAVaR) and the Hybrid Particle Swarm Optimization algorithm (H-PSOVaR). Furthermore, we test the accuracy and robustness of our estimates demonstrating the effectiveness of the proposed approach.
Breaking the barriers of animosity: innovation in business models as a positioning strategy
2021
Consumer animosity is often studied in the large economies of the world, in order to explain the negative feelings generated by an individual towards another country and its products, due to various political, economic and social conflicts. This study presents three specific developments in this field. First, to demonstrate how companies in the retail sector have been able to develop innovations in their business models through their shops and virtual channels, which generate a positive positioning in the mind of the consumer, capable of minimizing animosity towards them. In this way it is shown that a consumer can have strong feelings of patriotism, animosity and ethnocentrism, and yet a p…
Media Tone Goes Viral: Global Evidence from the Currency Market
2020
Using several million news and social media articles related to currencies, we examine the role of media tone in predicting the exchange rate returns of 12 developed and 24 emerging markets from 1998 to 2016. The text-based currency Media tone is a strong positive predictor of currency excess returns beyond fundamentals of one to three months ahead and six months cumulatively, with the average in-sample and out-of-sample R^2s of 4.45% and 9.03% in the US. The one-month predictability is observed in four other developed markets and 18 emerging market currencies, with the latter showing a stronger pattern. This predictability encompasses previous month currency returns, currency factors, macr…
Hydraulic power and control system
2020
Abstract In recent years, there has been worldwide interest in the improvement of the mobility of people with lower-limb amputation. Despite significant developments in new technologies during the last decade, commercial below-knee and above-knee prostheses are still energetically passive devices. However, many locomotive functions, like walking up stairs and slopes, need significant power in the knee and ankle joints. The additional power for doing previously mentioned activities needs to be achieved by means of external energy sources, which should be integral prosthetic components. In this chapter the design and development of the hydraulic power and control system are described.
Finding optimal finite biological sequences over finite alphabets: the OptiFin toolbox
2017
International audience; In this paper, we present a toolbox for a specific optimization problem that frequently arises in bioinformatics or genomics. In this specific optimisation problem, the state space is a set of words of specified length over a finite alphabet. To each word is associated a score. The overall objective is to find the words which have the lowest possible score. This type of general optimization problem is encountered in e.g 3D conformation optimisation for protein structure prediction, or largest core genes subset discovery based on best supported phylogenetic tree for a set of species. In order to solve this problem, we propose a toolbox that can be easily launched usin…
Machine learning-based spin structure detection
2023
One of the most important magnetic spin structure is the topologically stabilised skyrmion quasi-particle. Its interesting physical properties make them candidates for memory and efficient neuromorphic computation schemes. For the device operation, detection of the position, shape, and size of skyrmions is required and magnetic imaging is typically employed. A frequently used technique is magneto-optical Kerr microscopy where depending on the samples material composition, temperature, material growing procedures, etc., the measurements suffer from noise, low-contrast, intensity gradients, or other optical artifacts. Conventional image analysis packages require manual treatment, and a more a…
Importance of the window function choice for the predictive modelling of memristors
2018
Window functions are widely employed in memristor models to restrict the changes of the internal state variables to specified intervals. Here we show that the actual choice of window function is of significant importance for the predictive modelling of memristors. Using a recently formulated theory of memristor attractors, we demonstrate that whether stable fixed points exist depends on the type of window function used in the model. Our main findings are formulated in terms of two memristor attractor theorems, which apply to broad classes of memristor models. As an example of our findings, we predict the existence of stable fixed points in Biolek window function memristors and their absence…