China-Malaysia’s Trading and Exchange Rate: Complementary or Conflicting Features?

Over the last decade, China and Malaysia have committed to export-led growth policy based on maintenance of their undervalued currencies. While both nations have recorded current account surplus and devoted for regional trade integration, it was lately claimed that the Chinese foreign exchange regime poses her as a formidable export competitor and offers further threat to the crowding out of other developing Asian, including Malaysia. Such scenario motivated us to examine the dynamic nexus of exchange rate impact on bilateral export and import flows between China and Malaysia. Our analysis contributed in using high frequency monthly data for the recent period from January 1990 to January 2008, based on the Autoregressive Distributed Lag (ARDL) bound testing procedure and generalised impulse response analysis. Our empirical findings reveal that the Marshall-Lerner condition holds in the long run but only the short run import demands adhere to the potential J-curve pattern. In brief, the study supports for the complementary role of China instead of conflicting (competing) features in the China-Malaysia bilateral trading.Exchange rates, J-curve, Marshall-Lerner Condition, ARDL Bound Test

Assessing the Value of Time Travel Savings – A Feasibility Study on Humberside.

It is expected that the opening of the Humber Bridge will cause major changes to travel patterns around Humberside; given the level of tolls as currently stated, many travellers will face decisions involving a trade-off between travel time, money outlay on tolls or fares and money outlay on private vehicle running costs; this either in the context of destination choice, mode choice or route choice. This report sets out the conclusions of a preliminary study of the feasibility of inferring values of travel time savings from observations made on the outcomes of these decisions. Methods based on aggregate data of destination choice are found t o be inefficient; a disaggregate mode choice study i s recommended, subject to caveats on sample size

A Fresh Scrutiny on Openness and Per Capita Income Spillovers in Chinese Cities: A Spatial Econometric Perspective

This paper investigates openness and per capita income spillovers over 367 Chinese cities in the year 2004. Per capita income is modelled as dependent on investment, physical and social infrastructure, human capital, governmental policies and openness to the world. Our empirical analysis improves substantially the previous research in several respects: Firstly, by extending the data set to prefecture-level, it tackles the aggregation bias. Secondly, the introduction of recently developed explanatory spatial data analysis (ESDA) and spatial regression techniques allows to address misspecification issues due to spatial dependence. Thirdly, the endogeneity problem in the regression is taken into consideration through the use of generalised method of moments (GMM) estimator. Our major findings are in Chinese cities, physical and social infrastructure development, human capital and investment could be recognised as major driving sources of per capita income (i), whereas, the government expenditure ratio exerts a negative impact on per capita GDP level (ii). Our empirical findings also yield evidence on the existence of FDI and foreign trade spillovers in China (iii). These findings are robust to a number of alternative spatial weighting matrix specifications.

The efficacy of foreign exchange market intervention in Malawi

The Malawi Kwacha was floated in February 1994. Since then, the Reserve Bank of Malawi has periodically intervened in the foreign exchange market. This paper analyses the effectiveness of foreign exchange market interventions carried out by the Reserve Bank of Malawi. We use a GARCH (1, 1) model to simultaneously estimate the effect of intervention on the mean and volatility of the Malawi kwacha. Using monthly exchange rates and official intervention data from January 2002 to February 2006, the empirical results suggest that intervention activities of the Reserve Bank of Malawi affect the kwacha. In line with similar findings elsewhere in the literature, the paper finds that net sales of dollars by the Reserve Bank of Malawi depreciate, rather than appreciate, the kwacha. This effect is very small, however. Moreover, the paper also finds that the Reserve Bank of Malawi intervention reduces the volatility of the kwacha. This shows that the Reserve Bank actually achieves its objective of smoothing out fluctuations of the kwacha. This can be evidenced by the stability of the kwacha during a greater part of 2004. Thus intervention is, to some extent, used as an effective tool for moderating fluctuations of the kwacha. However, its effectiveness is constrained by the amounts of foreign exchange reserves, which are usually low.Foreign Exchange Market, Official Intervention, GARCH

The effectiveness of official intervention in foreign exchange market in Malawi

The Malawi Kwacha was floated in February 1994. Since then, the Reserve Bank of Malawi has periodically intervened in the foreign exchange market. This paper analyses the effectiveness of foreign exchange market interventions carried out by the Reserve Bank of Malawi. We use a GARCH (1, 1) model to simultaneously estimate the effect of intervention on the mean and volatility of the Malawi kwacha. Using monthly exchange rates and official intervention data from January 2002 to February 2006, the empirical results suggest that intervention activities of the Reserve Bank of Malawi affect the kwacha. In line with similar findings elsewhere in the literature, the paper finds that net sales of dollars by the Reserve Bank of Malawi depreciate, rather than appreciate, the kwacha. This effect is very small, however. Moreover, the paper also finds that the Reserve Bank of Malawi intervention reduces the volatility of the kwacha. This shows that the Reserve Bank actually achieves its objective of smoothing out fluctuations of the kwacha. This can be evidenced by the stability of the kwacha during a greater part of 2004. Thus intervention is, to some extent, used as an effective tool for moderating fluctuations of the kwacha. However, its effectiveness is constrained by the amounts of foreign exchange reserves, which are usually low.Official intervention; foreign exchange market; garch model

Most Likely Transformations

We propose and study properties of maximum likelihood estimators in the class of conditional transformation models. Based on a suitable explicit parameterisation of the unconditional or conditional transformation function, we establish a cascade of increasingly complex transformation models that can be estimated, compared and analysed in the maximum likelihood framework. Models for the unconditional or conditional distribution function of any univariate response variable can be set-up and estimated in the same theoretical and computational framework simply by choosing an appropriate transformation function and parameterisation thereof. The ability to evaluate the distribution function directly allows us to estimate models based on the exact likelihood, especially in the presence of random censoring or truncation. For discrete and continuous responses, we establish the asymptotic normality of the proposed estimators. A reference software implementation of maximum likelihood-based estimation for conditional transformation models allowing the same flexibility as the theory developed here was employed to illustrate the wide range of possible applications.Comment: Accepted for publication by the Scandinavian Journal of Statistics 2017-06-1

Inflation and Inflation uncertainty: A dynamic framework

Cataloged from PDF version of article.This paper aims to investigate the direct relationship between inflation and inflation uncertainty by employing a dynamic method for the monthly country-region-place United States data for the time period 1976-2007. While the bulk of previous studies has employed (ARCH models in investigating the link between inflation and inflation uncertainty, in this study Stochastic Volatility in Mean models are used to capture the shocks to inflation uncertainty within a dynamic framework. These models allow researchers to assess the dynamic effects of innovations in inflation as well as inflation volatility on inflation and inflation volatility over time, by incorporating the unobserved volatility as an explanatory variable in the mean (inflation) equation. Empirical findings suggest that innovations in inflation volatility increases inflation. This evidence is robust across various definitions of inflation and different sub-periods. (C) 2012 Elsevier B.V. All rights reserved