Testing for capital mobility: A random coefficients approach

1993 ◽  
Vol 18 (3) ◽  
pp. 523-541 ◽  
Author(s):  
Saleh Amirkhalkhali ◽  
Atul A. Dar
Author(s):  
Atul A. Dar ◽  
Sal AmirKhalkhali ◽  
Samad AmirKhalkhali

A random coefficients, error-correction model of saving-investment behaviour, which is consistent with intertemporal open-economy models, is estimated for G-7 countries to infer about the current account, capital mobility and the relevance of intertemporal budget constraints in such model. The error-correction mechanism is especially suited here since it is able to integrate short run dynamics with long run behaviour, while the random coefficients approach is a natural specification for accommodating inter-country differences. If saving-investment correlations measure capital mobility, a positive correlation would mean that a countrys growth prospects would be constrained by its saving, government deficits would crowd out private investment and, at a broader level, good investment opportunities might have to be foregone unless the required resources were obtained through a sacrifice in current consumption. On the other hand, those correlations could also be seen as validating the use of intertemporal budget constraints in open-economy models.


Author(s):  
Atul A. Dar ◽  
Sal AmirKhalkhali

This paper examines how government size impacts on the degree of capital mobility among 23 industrial countries by estimating saving-investment correlations using an error-correction model, with random coefficients, from data for the 1970-2006 period. The error-correction approach allows us to integrate both short-run and long-run behaviour within a single model. This is important if the model is to be given a capital mobility interpretation, because the saving-investment correlation relevant for assessing capital mobility is a long run one. Further, a model with random coefficients is a more general way of incorporating unmeasured differences between countries. Our sample is classified into five groups according to government size, which is measured by the ratio of government expenditures to GDP, and the model is estimated for each group separately using the random coefficients estimator.  Our results find some support for the view that countries with larger governments also have lower capital mobility.


Author(s):  
Atul Dar ◽  
Sal AmirKhalkhali

This paper attempts to empirically examine whether trade in goods and assets are complementary. This is tested by assessing whether countries that are more open in terms of trade policy are also more open in terms of capital flows; that is, whether the degree of capital mobility is positively related to openness. For this purpose, we examine the dynamics of saving-investment relationship in a group of seven most industrialized countries over the 1982-2003 period using a random coefficients error correction model.


GIS Business ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. 1-9
Author(s):  
Gunjan Sharma ◽  
Tarika Singh ◽  
Suvijna Awasthi

In the midst of increasing globalization, the past two decades have observed huge inflow of outside capital in the shape of direct and portfolio investment. The increase in capital mobility is due to contact between the different economies across the globe. The growing liberalization in the capital market leads to the growth of various financial products and services. Over the past decade, the Indian capital market has witnessed numerous changes in the direction of developing the capital markets more robust. With the growing Indian economy, the larger inflow of funds has been fetched into the capital markets. The government is continuously working on investor’s education in order to increase retail participation in the Indian stock market. The habits of the risk-averse middle class have been changing where these investors started participating in the Indian stock market. It is an explored fact that human beings are irrational and considering this fact becomes imperative to investigate factors that influence the trading decisions. In this research, ‘an attempt has been made to investigate various factors that affect the individual trading decision’. The data has been collected from various stockbroking firms and from clients of those stockbroking firms their opinions were recorded by means of a questionnaire. Data collected through the structured questionnaire, 33 questions were prepared which was given to the 330 respondents on the basis of convenience sampling out of which 220 individuals filled questionnaire, the total of 200 questionnaires was included in the study after eliminating the incomplete questionnaire. Various factors are being explored from the literature and then with the help of factor analysis some of the most influential factors have been explored. Factors like overconfidence, optimism, cognitive bias, herd behavior, advisory effect, and idealism are the factors which influenced the trading decision of the investors the most. Such kind of a study is contributing in the area of behavioral finance as a trading decision is an important aspect while investing in the stock market. And this kind of study would be helping and assisting financial advisors to strategies for their clients in making the right allocation and also the policy maker and market regulators to come up with better reforms for the Indian stock markets.


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