Current Issue : October - December Volume : 2019 Issue Number : 4 Articles : 5 Articles
This study presents empirical evidence among the predictor variables of foreign\ndirect investment (FDI), energy investment, official development assistance,\nand gross domestic product (GDP) which have a bearing on the growth\nof high technology exports in the Philippines. Data sets of indicators used in\nthe study had been downloaded from the World Development Indicators\nwebsite covering the period 1991-2016. The data were processed and analyzed\nutilizing the symbolic regression analysis through machine learning, the Nutonian\nEureqa Desktop. The results of the study revealed that foreign direct\ninvestment and official development assistance have significant contributions\nto the development and manufacture of export-driven commodities classified\nby the Organization of Economic Cooperation and Development as high\ntechnology exports. On the other hand, the gross domestic product has a\nnegative impact while energy investment has no contribution to exports development\nat all. Further, the results likewise demonstrated that strong causal\nrelationships between high technology exports and the variables evidenced by\na very high R2 goodness of fit of 0.82 signifying 82% of variations in high\ntechnology exports could be explained by the predictor variables included in\nthe transfer. The study concluded that two relevant information was obtained.\nFirst, the indicator of official development assistance is only suitable\nin the short run period. Second, the gross domestic product will continue to\ndecline if continuous trade deficit pervades in the long run period....
This paper studies a high order moments portfolio optimization model with\ntransaction costs. The model takes kurtosis as objective function and takes the\nskewness, variance, mean and transaction costs as constraints conditions.\nSince the optimization problem is of high order and non-convex, it brings\nsome difficulties to the solution of the model. Therefore, this paper transforms\nthe optimization problem into a semi-definite matrix optimization\nproblem by using the moment matrix theory, and then solves it. Through the\nstudy of four risky assets in Chinaâ??s securities market, it is found that transaction\ncosts are significant parts in the study of portfolio model. In addition,\nsensitivity analysis shows that the kurtosis and skewness are positively correlated\nwith the mean and variance invariant. When mean and skewness are\nconstant, kurtosis and variance are positively correlated. When mean and\nskewness remain unchanged, the fourth order standard central moment and\nvariance are negatively correlated....
The agriculture sector is one of the economic pillars in a developing country.\nFor the better governance of the sector, Market Information System (MIS)\nwas promoted in 1980 in developing countries after the liberalization of the\nmarket and the withdrawal of Para-public from the agricultural sector. From\nthe perspective of economic theory, the emergence of an MIS in an economy\nis supposed to reduce information search costs and influence the behaviour of\neconomic agents such as producers, traders and consumers. So these agents\nshould have access to this information to guide their decisions....
Numerous studies [1] [2] [3] [4] have shown that automation and college\neducation may be a bigger contributor to wage-inequality than international\ntrade. Most of these models of trade focus on â??comparative-advantageâ? based\ntrade (i.e. trade in different products). Although much of world-trade is â??intra-\nindustryâ? (i.e. trade broadly in the same industry) in nature, relatively\nfewer studies have examined the relationship between wage-inequality and intra-\nindustry trade. This study examines the relationship between intra-industry\ntrade and wage-inequality, using a two-sector model of monopolistic competition.\nUnlike previous research, this study examines this relationship\nthrough a lens that has not been explored much in the previous literature:\ndifferences in consumer demand, which can arise from factors such as demographic\ndifferences (e.g. whether a population is young or aging) between\ntrade partners. My model suggests that: 1) intra-industry trade may be associated\nwith wage-inequality between two sectors in the same country, 2) the\nmagnitude of wage-inequality may depend on the differences in consumer demand\nin the countries that engage in international trade, and 3) wage-inequality\ncan arise between sectors even if all workers have similar skills to begin with.\nThese preliminary results may have some interesting implications for future\nresearch in the international trade literature....
Integrating tax methodology and foreign exchange rates dynamics, and utilizing\nMiller and Scholes [1] framework, we are able to derive a testable algorithm\nthat identifies financial flow of funds across countries, which in turn\nleads to short term changes in exchange rates. In this model we are going to\nidentify changes in the flow of funds, directed toward financial investments,\nlending or borrowing, between two countries, and thereby the short term\nchanges in the foreign exchange rate that solely stems from expected changes\nin the tax codes. Thus, expected change in the foreign exchange rate becomes\nan endogenous variable, while the common view in the literature is that expected\nchange in foreign exchange rates that differs from the market consensus\nis the trigger for flows of funds across countries. Alternatively, by using\nthe above-mentioned algorithm, one can imply the market beliefs regarding\nexpected changes in the tax code....
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