A Litterman BVAR approach for production forecasting of technology industries

Forecasting the production of technology industries is important to entrepreneurs and governments, but usually suffers from market fluctuation and explosion. This paper aims to propose a Litterman Bayesian vector autoregression (LBVAR) model for production prediction based on the interaction of industrial clusters. Related industries within industrial clusters are included into the LBVAR model to provide more accurate predictions. The LBVAR model possesses the superiority of Bayesian statistics in small sample forecasting and holds the dynamic property of the vector autoregression (VAR) model. Two technology industries in Taiwan, the photonics industry and semiconductor industry are used to examine the LBVAR model using a rolling forecasting procedure. As a result, the LBVAR model was found to be capable of providing outstanding predictions for these two technology industries in comparison to the autoregression (AR) model and VAR model.     

How responsive are trade flows between Malaysia and China to the exchange rate? Evidence from industry data

This paper investigates the impact of currency depreciation on bilateral trade between Malaysia and China, especially how a real depreciation of ringgit against the yuan on each industry’s inpayments and outpayments affect the trade balance. We employ disaggregated quarterly data on import and export for 52 industries over the period 1993Q1 to 2012Q4. The results from the bounds testing approach to the cointegration and error-correction model reveal that the real bilateral exchange rate has short and long-run effects on the inpayments and outpayments of the industries. However, the short-run effects shift into the long run in 14 out of 35 industries in the inpayment models and 17 out of 44 industries in the outpayments models. Most of these are small industries producing intermediate goods. According to the ML condition, the depreciation of ringgit against yuan improves Malaysia’s trade balance with China in these industries.     

Selected transition and Mediterranean countries: an institutional primer on EMU and EU accession

The paper examines the institutional channels through which Economic and Monetary Union (EMU) in the European Union (EU) can affect the transition countries of Central and Eastern Europe and three Mediterranean countries that aspire to join the EU.
After describing the current institutional framework for relations between the EU and these countries, the paper considers two categories of institutional implications of EMU. The first stems from the need to satisfy the Maastricht convergence criteria before joining the euro area. Although the Maastricht criteria are not accession criteria, many of the countries reviewed are already formulating their macroeconomic policies in a way that will facilitate convergence toward the Maastricht targets. The second implication stems from the need to adopt the EU's institutional and legal provisions in the area of EMU, such as those referring to the establishment of independent central banks, the prohibition of central bank financing of the government and the liberalization of capital movements. Finally, the paper discusses some of the key policy issues that EMU raises for the countries reviewed, in particular regarding exchange rate policy, capital account liberalization and the possible conflict between growth-enhancing measures and the Maastricht criteria.     

Volatility transmission between stock and foreign exchange markets: a connectedness analysis

ABSTRACT

This paper empirically investigates volatility transmission among stock and foreign exchange markets in seven major world economies during the period July 1988 to May 2018. To this end, we first perform a static and dynamic analysis to measure the total volatility connectedness in the entire period (the system-wide approach). Second, we make use of a dynamic analysis to evaluate the net directional connectedness for each market. To gain further insights, we examine the time-varying behaviour of net pair-wise directional connectedness during the financial turmoil periods experienced in the sample period Our results suggest that slightly more than half of the total variance of the forecast errors is explained by shocks across markets rather than by idiosyncratic shocks. Furthermore, we find that volatility connectedness varies over time, with a surge during periods of increasing economic and financial instability.     

Choice of currency basket weights and its implications on trade balance

This paper seeks to find an optimal choice of currency basket weights for emerging economies that peg their currencies to a currency basket, and to examine the long-run relationship between the real exchange rates of a group of trading partners. A general equilibrium model is set up to establish an optimal set of currency basket weights, coupled with the choice of fiscal policy, to simultaneously stabilize trade balance and aggregate price level of an economy. This optimal set of weights is a weighted average of two sets of weights; each targets at one policy goal (stabilizing either balance of trade or aggregate price level) at a time. Empirical studies including vector autoregression (VAR) analysis and cointegration analysis on the long-run relationship between the Thai baht and the real exchange rates of its major trading partners are presented.     

Bias correcting adjustment coefficients in a cointegrated VAR with known cointegrating vectors

The maximum likelihood estimator of the adjustment coefficient in a cointegrated vector autoregressive model (CVAR) is generally biased. For the case where the cointegrating vector is known in a first-order CVAR with no intercept, we derive a condition for the unbiasedness of the maximum likelihood estimator of the adjustment coefficients, and provide a simple characterization of the bias in case this condition is violated. A feasible bias correction method is shown to virtually eliminate the bias over a large part of the parameter space.     

Does oil price variability affect ASEAN exchange rates? Evidence from panel cointegration test

Using panel data, this article investigates the long-run relationship between real oil prices and real exchange rates for selected ASEAN countries by utilizing quarterly data from 1973:Q1 to 2013:Q4. The modelling implementation starts with the determination of the stationarity condition of the variables which are found to be integrated of order one. Using Maddala and Wu’s (1999) panel cointegration test, the article finds evidence of cointegration among the variables. The fully modified OLS (FMOLS) and dynamic OLS (DOLS) are then used to estimate the long-run relationship between the variables, followed by applying Toda–Yamamoto causality test. The findings exhibit bidirectional causality between real oil prices and real exchange rates in the long run, where it is highly significant.     

Understanding the cell phone effect on vehicle fatalities: a Bayesian view

This article examines the potential effect of various factors on motor vehicle fatality rates using a rich set of panel data and classical regression analysis combined with Bayesian Extreme Bounds Analysis (EBA), Bayesian Model Averaging (BMA) and Stochastic Search Variable Selection (SSVS) procedures. The variables examined in the models include traditional motor vehicle and socioeconomic factors. In addition, the models address the effects of cell phone usage on such accidents. The use of both classical and Bayesian techniques diminish the model and parameter uncertainties which afflict more conventional modelling methods which rely on only one of the two methods.     

Linkages among Interest Rates in the United States, Germany and Norway

The Johansen multivariate cointegration methodology is used to analyze relationships among short-term and long-term interest rates in the United States, Germany and Norway. A variance decomposition approach is applied to estimate the proportion of each interest rate's forecast error variance attributable to innovations in the other interest rates. Impulse response functions are plotted to illustrate the speed with which interest rate events are transmitted between capital markets. The analyses illustrate that US interest rates have a significant influence on both German and Norwegian interest rates, while the reverse effect is modest. Norway is also strongly exposed to German interest rate movements, which reflects the consequences of a small country linking its currency to the value of European currencies.     

Reforming Undergraduate Instruction in Russia,Belarus, and Ukraine

The authors deal with the restructuring of undergraduate economics instruction at Moscow State University (MSU) since 1989. They examine how closely the reforms at MSU are mirrored by changes at Belarus State University in Minsk and at Kiev State University. They also consider, and often offer an “insider's” perspective on, several issues related to curriculum reform that go beyond what can be determined from published curriculum guides. Specifically, they consider such issues as the training and retraining of faculty members who teach courses in these departments, the use of translated Western textbooks versus locally developed textbooks, and problems that arise in departments where some faculty members teach Western economics but others continue to teach Soviet-style economics.     

Investigating the Balassa‐Samuelson hypothesis in the transition: Do we understand what we see? A panel study

This paper studies the Balassa‐Samuelson (B‐S) effect in the Czech Republic, Hungary, Poland, Slovakia and Slovenia. We use time series and panel cointegration techniques and show that the B‐S effect works reasonably well in the transition economies under study during the period from 1991:Q1 to 2001:Q2. However, we find, that productivity growth does not fully translate into price increases because of the construction of the CPI indexes. We therefore argue that productivity growth will not hinder meeting the Maastricht criterion on inflation in the medium term. In addition, the observed appreciation of the CPI‐deflated real exchange rate is found to be systematically higher compared with the real appreciation the B‐S effect could justify, especially in the cases of the Czech Republic and Slovakia. This can be partly explained by the trend appreciation of the tradable price‐based real exchange rate, increases in non‐tradable prices due to price liberalization and demand‐side pressures and the evolution of the nominal exchange rate determined by the nature of the exchange rate regime and the magnitude of capital inflows. JEL classification: E31, F31, O11, P17,     

Modelling changes in seasonality in Indian manufacturing production: an application of the STAR model

This paper attempts to identify the factors responsible for changes in seasonal patterns in manufacturing production in India. This is done in the framework of the Smooth Transition Autoregressive (STAR) models. We find that the variations in seasonal patterns in manufacturing production are driven by the rate of growth of rainfall. The gradual changes in the structure of the economy have not yet had any discernible effect on the seasonality, although the overall dynamics of this variable have been affected.