Ownership structures of U.S. joint ventures in the 1980S

A firm's choice between sole and joint ventures in a foreign market is subject to various market-specific and firm-specific influences. This study draws upon the transaction cost and bargaining power theoretical frameworks to identify and measure some of these influences. A logistic regression model was employed to examine the relative influences of the main and interaction effects of the independent factors on ownership structures employed for new foreign subsidiaries by U.S. firms in the 1980s.     

Structural breaks and GARCH models of stock return volatility: The case of South Africa

This paper investigates the empirical relevance of structural breaks in forecasting stock return volatility using both in-sample and out-of-sample tests applied to daily returns of the Johannesburg Stock Exchange (JSE) All Share Index from 07/02/1995 to 08/25/2010. We find evidence of structural breaks in the unconditional variance of the stock returns series over the period, with high levels of persistence and variability in the parameter estimates of the GARCH(1,1) model across the sub-samples defined by the structural breaks. This indicates that structural breaks are empirically relevant to stock return volatility in South Africa. However, based on the out-of-sample forecasting exercise, we find that even though there structural breaks in the volatility, there are no statistical gains from using competing models that explicitly accounts for structural breaks, relative to a GARCH(1,1) model with expanding window. This could be because of the fact that the two identified structural breaks occurred in our out-of-sample, and recursive estimation of the GARCH(1,1) model is perhaps sufficient to account for the effect of the breaks on the parameter estimates. Finally, we highlight that, given the point of the breaks, perhaps what seems more important in South Africa, is accounting for leverage effects, especially in terms of long-horizon forecasting of stock return volatility.     

The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US

This article provides out-of-sample forecasts of linear and nonlinear models of US and four Census subregions’ housing prices. The forecasts include the traditional point forecasts, but also include interval and density forecasts, of the housing price distributions. The nonlinear smooth-transition autoregressive model outperforms the linear autoregressive model in point forecasts at longer horizons, but the linear autoregressive and nonlinear smooth-transition autoregressive models perform equally at short horizons. In addition, we generally do not find major differences in performance for the interval and density forecasts between the linear and nonlinear models. Finally, in a dynamic 25-step ex-ante and interval forecasting design, we, once again, do not find major differences between the linear and nonlinear models. In sum, we conclude that when forecasting regional housing prices in the United States, generally the additional costs associated with nonlinear forecasts outweigh the benefits for forecasts only a few months into the future.     

Nominal vs real adjustment in demand for money functions

Recently, Fair (1987) has addressd an interesting question in the areas of demand for money, namely, whether the adjustment of actual to desired demand for money is in nominal or real terms. His conclusion, based on time-seies analysis for twenty-seven countries, including a few developing countries, was that the evidence was overwhelmingly in favour of the nominal hypothesis.

The aim of this paper is to address the same issue for eleven Asian countries. In the process, a reformulation of the test procedure used by Fair is suggested. In addition, the question is also examined within the framework of the error correction model. The models are also tested for structural stability.

The scheme of the paper is as follows. The models and the tests are specified in Section I. The data and the estimation issues are dealt with in Section II. Section III presents the results. The paper is concluded with a brief summary of the major findings.     

An analysis of delayed formal and interlinked informal credit in agriculture

A model of interlinked credit-product contracts between small farmers and large farmers when the small farmer faces delay in getting formal credit and the large farmer does not, has been developed. The small farmer remains on the reservation income level, and his reservation income is inversely related to the length of the delay. However, this does not hamper the productivity of the small farmer. The large farmer extracts the surplus through the interlinked contract and this surplus is positively related to the length of the delay. Interlinkage and non-inter-linkage equilibria become identical if the small farmer gets the formal credit at the beginning of the crop cycle. Various subsidy policies worsen the distribution of formal credit.     

Supply-side investments: An international analysis of the return and risk relationship in the Travel & Leisure sector

This study investigates supply-side investments in the tourism sector, analysing the return and risk relationship of investments in tourism across several countries. The performance of tourism sector companies listed on the stock exchange, for the top one dozen countries according to the World Economic Forum (WEF) tourism rankings, is investigated by region, across these countries and within each country by comparison to other sectors. Several metrics are used to compare the risk-adjusted returns, over a 15-year period ending March 2007 and sub-periods to check the persistence of performance over time. The results present a strikingly different ranking than those of the WEF. The implications for the flow of investment funds are of importance in a global capital market. Money will flow to those investments with the highest expected returns for a given risk level and this has consequential impacts for economic growth and employment in the tourism sector.     

Role of Shopping Values and Web Atmospherics in E-Satisfaction and Repurchase Intention

Expected to touch US$55 billion in 2016, the e-commerce market in India presents an unprecedented growth opportunity for retailers. Existing studies have identified factors influencing shoppers’ online behaviour pertaining to the developed economies. Hence, it becomes pertinent to validate these antecedents for the economies like India. The article addresses this gap by examining the role of shopping values and web atmospherics, on e-satisfaction of Indian shoppers. Using multiple regression analysis, it also examines the influence of e-satisfaction on repurchase intention. The findings suggest that effectiveness of information content has the most significant impact on e-satisfaction. Web entertainment, utilitarian values and web informativeness are the other influencing factors. Contrary to the earlier studies, this study didn’t find any influence of hedonic shopping values on shoppers’ satisfaction. Also, e-satisfaction was found to have a positive influence on repurchase intention of e-shoppers. The article suggests select strategies that can be adopted by e-retailers.     

Time-varying persistence in US inflation

The persistence property of inflation is an important issue not only for economists, but especially for central banks, given that the degree of inflation persistence determines the extent to which central banks can control inflation. Further, not only is it the level of inflation persistence that is important in economic analyses, but also the question of whether the persistence varies over time, for instance, across business cycle phases, is equally pertinent, since assuming constant persistence across states of the economy is sure to lead to misguided policy decisions. Against this backdrop, we extend the literature on long-memory models of inflation persistence for the US economy over the monthly period of 1920:1–2014:5, by developing an autoregressive fractionally integrated moving-average-generalized autoregressive conditional heteroskedastic model with a time-varying memory coefficient which varies across expansions and recessions. In sum, we find that inflation persistence does vary across recessions and expansions, with it being significantly higher in the former than in the latter. As an aside, we also show that persistence of inflation volatility is higher during expansions than in recessions. Understandably, our results have important policy implications.     

The historical roots of India’s service-led development: A sectoral analysis of Anglo-Indian productivity differences, 1870-2000

India fell further behind the UK in terms of GDP per capita and overall labour productivity between the 1870s and the 1970s, but has been catching-up since. This paper offers a sectoral analysis of these trends. Comparative India/UK labour productivity in agriculture has declined continuously, and agriculture still accounts for around two-thirds of employment in India. Agriculture thus played a key role in India’s falling behind and has subsequently slowed down the process of catching up. Although there have been substantial fluctuations in comparative India/UK labour productivity in industry, this sector has exhibited no long run trend. The only sector to exhibit an upward trend in comparative India/UK labour productivity is services. India’s recent emergence as a dynamic service-led economy thus appears to have long historical roots. Although India has been characterised by relatively low levels of physical and human capital formation overall, its education provision has historically been unusually skewed towards secondary and tertiary levels. This has provided a limited supply of high productivity workers who have been employed predominantly in services.