Renewable and nonrenewable energy production and economic growth in sub-Saharan Africa: a hidden cointegration analysis

The objective of this article is to investigate the hypothesis of asymmetric effects between economic growth and renewable and nonrenewable energy production. To this end, both the linear cointegration and the hidden cointegration methodology are employed, with the latter allowing a straightforward delimitation of the data in an economically sensible way. We test for the presence of hidden cointegration across 12 sub-Saharan African countries spanning the period 1971–2011. The empirical results confirm the growth hypothesis for a subset of countries, suggesting that their growth could be adversely affected by conservation policies, while for a second subgroup of countries they confirm the conservation hypothesis, indicating that conservation policies could enhance the growth process in these countries. The differentiation of the results could be captured entirely by the linear approach, indicating that the lack of cointegration between renewable energy production and economic growth found in previous studies may be due to failures to properly delimit the nonlinearity property in the data.     

Are exchange rates interdependent? Evidence using wavelet analysis

We examine the co-movement in daily returns of USD–INR, EUR–INR, GBP–INR, and JPY–INR currency pair futures contracts traded on the National Stock Exchange of India (NSE) using the wavelet cohesion approach. This study contributes to the literature by examining the scantly studied area of co-movement in exchange rates and using the wavelet approach, which allows us to analyse time–frequency-wise co-movement of the time series. The empirical results indicate that the currency futures markets are nearly perfectly integrated in the long run (monthly, quarterly and biannual scales) offering little potential gains from international portfolio diversification. The discrepancies between currency futures markets are small and almost fade away within 3–6 months. Moreover, international currency diversification might offer relatively higher potential gains at intraweek, weekly, and fortnightly time horizons owing to lower correlations among the currencies under consideration. Finally, our multiple-wavelet correlation and cross-correlation analysis shows that GBP acts as a potential leader/follower across scales. The results of our analysis indicate the dynamic pattern of co-movement among the major currency futures contracts, which provides several implications for portfolio managers and international investors participating in the Indian market.     

Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models

We examine and compare a large number of generalized autoregressive conditional heteroskedastic (GARCH) and stochastic volatility (SV) models using series of Bitcoin and Litecoin price returns to assess the model fit for dynamics of these cryptocurrency price returns series. The various models examined include the standard GARCH(1,1) and SV with an AR(1) log-volatility process, as well as more flexible models with jumps, volatility in mean, leverage effects, t-distributed and moving average innovations. We report that the best model for Bitcoin is SV-t while it is GARCH-t for Litecoin. Overall, the t-class of models performs better than other classes for both cryptocurrencies. For Bitcoin, the SV models consistently outperform the GARCH models and the same holds true for Litecoin in most cases. Finally, the comparison of GARCH models with GARCH-GJR models reveals that the leverage effect is not significant for cryptocurrencies, suggesting that these do not behave like stock prices.     

Effective Rental Housing Demand in the Tokyo Metropolitan Region

This paper reports on the estimation of housing demand for tenants in Tokyo Metropolitan Region using household level data for 1993. The results indicate that the rental housing demand is inelastic with respect to permanent income and price, with coefficients as 0.31 and -0.093 respectively. Other important variables, which determine housing demand for tenants are length of stay and type of household. Larger households demand more housing. However, keeping the size of household constant, households with elderly members have higher demand for housing. The only exception to the rule is households formed with members not belonging to same nucleus family demand less housing.     

The hydroelectricity consumption and economic growth in Asian countries - evidence using an asymmetric cointegration approach

ABSTRACT

This study examines the four commonly tested hypotheses in hydroelectricity consumption – economic growth literature for 12 Asian countries. Our results from a recently developed hidden cointegration technique uncover rich and significant relationships between negative and positive components of the variables under consideration. In particular, we find evidence to support the neutrality hypothesis in five countries (Bangladesh, Indonesia, Pakistan, Philippines, and Thailand), the growth hypothesis in four countries (India, Japan, South Korea and Taiwan), and both growth and conservation hypotheses in three countries (China, Malaysia, and New Zealand). These findings suggest that appropriate economic policies should be elaborated on the basis of the country’s specific hydroelectricity consumption–growth nexus. Finally, our new evidence suggests that the lack of stable relationship between hydroelectricity consumption and economic growth documented in previous studies for some of these countries could be due to the failure to properly account for the nonlinearity property in the data.     

Financial Constraints and Other Obstacles: are they a Threat to Innovation Activity?

Summary  In this paper we examine the importance of financial and other obstacles to innovation in the Netherlands using statistical information from the CIS 3.5 innovation survey. We report results on the effect of these obstacles on the firms’ decision to abandon, prematurely stop, seriously slow down, or not to start an innovative project. These results are compared with those from other studies in the Netherlands and other countries. We end with a discussion of policy measures that have been taken to overcome, or at least attenuate these obstacles, such as R&D tax incentives, venture capital financing and policy mix packages.