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1.
The study examines and highlights the impact of selected foreign inflows (aid, trade, FDI, debt and remittances) on the economic growth of the South Asian Association for Regional Cooperation (SAARC) countries. The existent literature lacks a comprehensive analysis of the SAARC countries as countries like Afghanistan, Bhutan and the Maldives have largely been ignored due to the shorter time periods of available data. The study is empirical in nature and utilizes panel data techniques on macroeconomic data for the period 2008–2015. Foreign aid and foreign direct investment are found to impact economic growth positively. Foreign debt and trade flows are found to adversely affect economic growth. No relationship is established between the flow of remittances and the economic growth of these countries. The obtained results are robust to different proxy variables and the addition of macroeconomic variables. For the first time, the study provides policy implications based on the data of all SAARC countries. The study recommends focusing on increasing the inflows of resources in the form of aid and foreign direct investment (FDI) from the developed world to achieve higher economic growth. 相似文献
2.
Carla J. Robinson 《The Review of Black Political Economy》1991,19(3-4):85-109
Atlanta has the reputation of being a city of opportunity for blacks. However, in Atlanta, as well as in other cities across
the nation, the nexus of racism and economic discrimination has resulted in disparities between the housing status of blacks
and whites. This article examines racial disparities in the Atlanta housing market. It begins by tracing recent trends in
the Atlanta-area economy and by providing background information on the local housing market. It then discusses the roles
of the federal Home Mortgage Disclosure Act of 1975 and Community Reinvestment Act of 1977 in the efforts of local groups
to reduce racial disparities in the housing market. The final section discusses recent local developments that might lead
to improvements in the housing status of black Atlantans. 相似文献
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Estimation methods for stochastic volatility models: a survey 总被引:5,自引:0,他引:5
Abstract. Although stochastic volatility (SV) models have an intuitive appeal, their empirical application has been limited mainly due to difficulties involved in their estimation. The main problem is that the likelihood function is hard to evaluate. However, recently, several new estimation methods have been introduced and the literature on SV models has grown substantially. In this article, we review this literature. We describe the main estimators of the parameters and the underlying volatilities focusing on their advantages and limitations both from the theoretical and empirical point of view. We complete the survey with an application of the most important procedures to the S&P 500 stock price index. 相似文献
5.
Carla I. Koen 《Research in International Business and Finance》2004,18(2):173-197
The globalization literature has been limited cumulative. Different disciplines have different accents, use different definitions, rely on divergent theories and focus on different units of analysis. As a corollary, they have come to divergent opinions on the concept of globalization, on its broader consequences as well as on the more specific consequences for organization and management. This article contributes to the literature by proposing a societal theory of institutional change to analyze globalization effects in a more systematical way. It explores the effects of globalization forces on organization and management in Germany and Japan in comparison to the US and the UK, by tracing their impact on the systems of corporate governance, industrial relations and human resources. The article shows that different patterns of change exist at different levels of analysis. These differences help us explain why no generalized pattern of convergence towards the same economic model should be expected. 相似文献
6.
Carla Gonçalves Ricardo J. Bessa Pierre Pinson 《International Journal of Forecasting》2021,37(1):322-342
Cooperation between different data owners may lead to an improvement in forecast quality—for instance, by benefiting from spatiotemporal dependencies in geographically distributed time series. Due to business competitive factors and personal data protection concerns, however, said data owners might be unwilling to share their data. Interest in collaborative privacy-preserving forecasting is thus increasing. This paper analyzes the state-of-the-art and unveils several shortcomings of existing methods in guaranteeing data privacy when employing vector autoregressive models. The methods are divided into three groups: data transformation, secure multi-party computations, and decomposition methods. The analysis shows that state-of-the-art techniques have limitations in preserving data privacy, such as (i) the necessary trade-off between privacy and forecasting accuracy, empirically evaluated through simulations and real-world experiments based on solar data; and (ii) iterative model fitting processes, which reveal data after a number of iterations. 相似文献
7.
Thomas J. O'Brien Santiago Ruiz de Vargas 《Journal of International Financial Management & Accounting》2017,28(1):70-85
The Economist's adjusted Big Mac index takes GDP into account in currency valuation, but the methodology is not explained. We show that the key to understanding the methodology is to distinguish between a currency's bilateral valuation (versus a specific currency) and the currency's overall valuation (versus a “basket” of a large number of currencies). Also, the adjusted Big Mac estimates of intrinsic foreign exchange (FX) rates have been better forecasts of actual FX changes than those of the original “raw” Big Mac index. 相似文献
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We approximate probabilistic forecasts for interval-valued time series by offering alternative approaches. After fitting a possibly non-Gaussian bivariate vector autoregression (VAR) model to the center/log-range system, we transform prediction regions (analytical and bootstrap) for this system into regions for center/range and upper/lower bounds systems. Monte Carlo simulations show that bootstrap methods are preferred according to several new metrics. For daily S&P 500 low/high returns, we build joint conditional prediction regions of the return level and volatility. We illustrate the usefulness of obtaining bootstrap forecasts regions for low/high returns by developing a trading strategy and showing its profitability when compared to using point forecasts. 相似文献