Trade cooperation in light of the forces that are currently re-shaping international business

In this research work, Author focus on the analysis trade cooperation in light of the forces that are currently re-shaping international business. Accordance to the foreign trade policy theory further trade liberalisation and improved framework policies would increase trade and promote growth. It must be emphasized that openess to trade is associated with higher incomes and growth and there are the need for new approaches to trade cooperation. What indicates the importance and innovativeness of the research is the presentation of the new models of the foreign trade policy and trade interests. First of all it must underline that in the new theoretical terms in the demand for trade policy very important is factor specificity. The low specificity of factors means that factor returns are equalized throughout a region’s economy. On the other hand some factors are stuck in their present uses; therefore, factor returns are not equalized throughout a region’s economy, but are industry specific. The main objective of the research task is to give a comprehensive analysis of current trends in foreign trade theory and policy and in particulary the models of foreign trade policy, trade interests indicated by export orientation and import sensitivity, foreign trade policy in different types of authoritarian regimes, protectionistic pressures in different political system, the level of protectionistic pressures, the variation in the foreign trade policy among states, the liberalisation of China foreign trade policy and their effects, the tendencies to international trade liberalisation and the problem of environmental protection, and the tendencies to bilateralism in the foreign trade policy. It should be stressed that free trade in itself is not responsible for economic growth, but more significant are the determining macroeconomic stability and increasing investment.

How do the Tax Burden and the Fiscal Space in Latin America look like? Evidence through Laffer Curves

How much fiscal space do Latin American countries have to increase their tax burdens in the long term? This paper provides an answer through Laffer curves estimates for taxes on labor, capital, and consumption for the six largest emerging economies of the region: Argentina, Brazil, Chile, Colombia, Mexico, and Peru. Estimates are made using a neoclassical growth model with second-generation human capital and employing data from the national accounts system for the period from 1994 to 2017. Our findings allow us to compare the recent effective tax rates on factor returns against those which would maximize the government's revenues, and therefore to derive the potential tax-related fiscal space. Results suggest that joint fiscal space on labor and capital taxes would reach 6.5% of GDP for the region, on average, and that there are important differences among the countries.

Economic Implications of the Regional Comprehensive Economic Partnership for Asia and the Pacific

The Regional Comprehensive Economic Partnership (RCEP) presents strong potential to mold regional trade and investment patterns well into the future and to influence the direction of global economic cooperation at a challenging time. This paper evaluates the RCEP’s impact on global and regional incomes, trade, economic structure, factor returns, and employment using a computable general equilibrium model. The results suggest that the RCEP agreement could generate sizable global income gains. Together with the Comprehensive and Progressive Agreement on Trans-Pacific Partnership, the RCEP will also strengthen the region’s manufacturing supply chains, raising productivity and increasing wages and employment.

Canonical Correlation of Multivariate Regression Analysis on Economic Factors in Nigeria

This research is on canonical correlation of multivariate regression analysis on economic factors in Nigeria. This study aim to analyze the effect of Nigerian macroeconomic factors and also to investigate the relationship between the factors for the period of 1985-2014. Four macroeconomic variables (economic factors) used in this research are Gross Domestic Product (GDP), Currency in Circulation (CIC), Foreign Trade and Inflation. Canonical correlation analysis under Multivariate regression was used for association between the variables. The result showed that there is a significant relationship between GDP and all the variables considered at (0.01) level of significant with the exception of inflation which showed negative and no significant relationship. However, the results also revealed that the economy of Nigeria is been affected by volume of economic factor returns.

Dynamics of Equity Factor Returns and Asset Pricing

In empirical equity asset pricing, the stochastic discount factor (SDF) is implicitly modeled as a linear function of equity factors and is influenced by the empirical properties of the factor returns. We investigate the pricing error introduced by a misspecified SDF which ignores each of the following established empirical phenomena: autocorrelation, dynamics of covariances, dynamics of correlations, and heavy tails for the conditional factor return distribution. We consider near-linear SDFs and nonlinear specifications characterized by a high degree of risk aversion. We find that assuming constant covariances or constant correlations can significantly overprice certain equity portfolios at all risk-aversion levels and that ignoring fat tails can lead to large pricing errors for some derivative assets for highly nonlinear SDFs.

Oil and risk premia in equity markets

Purpose This study aims to explore the oil–stock market nexus from a novel angle by examining the predictive role of oil prices over the excess returns associated with the market, size, book-to-market and momentum factors via bivariate cross-quantilograms. Design/methodology/approach This study makes use of the bivariate cross-quantilogram methodology recently developed by Han et al. (2016) to analyze the predictability patterns across the oil and stock markets by focusing on various quantiles that formally distinguish between normal, bull and bear as well as extreme market states. Findings The study analysis of systematic risk premia across the four regions shows that crude oil returns indeed capture predictive information regarding excess factor returns in stock markets, particularly those associated with market, size and momentum factors. However, the predictive power of oil return over excess factor returns is asymmetric and primarily concentrated on extreme quantiles, suggesting that large fluctuations in oil prices capture markedly different predictive information over stock market risk premia during up and down states of the oil market. Practical implications The findings have significant implications for the profitability of factor- or style-based active portfolio strategies and suggest that the predictive information contained in oil market fluctuations could be used to enhance returns via conditional strategies based on these predictability patterns. Originality/value This study contributes to the vast literature on the oil–stock market nexus from a novel perspective by exploring the effect of oil price fluctuations on the risk premia associated with the systematic risk factors including market, size, value and momentum.