A new assessment of economic integration in East Asia: Application of an industry-specific G-PPP model

It is well known that intra-industry trade and cross-border production networks have promoted economic growth and regional integration in East Asia. However, regional supply and production chains may have been formed differently across industries, reflecting different degrees and a different scope of regional economic linkages at an industry level. This paper makes a threefold contribution. First, to assess industry-level differences, this study adopts the generalized purchasing power parity (G-PPP) model using industry-specific producer prices. Second, the momentum threshold autoregressive (M-TAR) model is employed to allow for possible nonlinearity arising from the dynamic nature of regional economic growth and development. Third, the Granger causality test is also conducted to assess whether regional economies have autonomously integrated. The empirical results reveal that economic integration has progressed more autonomously in the electrical industry, as well as in the transportation equipment industry, as China and the ASEAN countries have become the final destination markets for finished products in these two industries.     

The behaviour of betting and currency markets on the night of the EU referendum

We study the behaviours of the Betfair betting market and the sterling/dollar exchange rate (futures price) during 24 June 2016, the night of the EU referendum. We investigate how the two markets responded to the announcement of the voting results by employing a Bayesian updating methodology to update prior opinion about the likelihood of the final outcome of the vote. We then relate the voting model to the real-time evolution of the market-determined prices as the results were announced. We find that, although both markets appear to be inefficient in absorbing the new information contained in the vote outcomes, the betting market seems less inefficient than the FX market. The different rates of convergence to the fundamental value between the two markets lead to highly profitable arbitrage opportunities.     

The cointegrated vector autoregressive model with general deterministic terms

In the cointegrated vector autoregression (CVAR) literature, deterministic terms have until now been analyzed on a case-by-case, or as-needed basis. We give a comprehensive unified treatment of deterministic terms in the additive model $X_t=\gamma Z_t+Y_t$, where $Z_t$ belongs to a large class of deterministic regressors and $Y_t$ is a zero-mean CVAR. We suggest an extended model that can be estimated by reduced rank regression, and give a condition for when the additive and extended models are asymptotically equivalent, as well as an algorithm for deriving the additive model parameters from the extended model parameters. We derive asymptotic properties of the maximum likelihood estimators and discuss tests for rank and tests on the deterministic terms. In particular, we give conditions under which the estimators are asymptotically (mixed) Gaussian, such that associated tests are ${\chi }^2$-distributed.     

A fractional cointegration var analysis of exchange rate dynamics

In their seminal work, Baillie and Bollerslev (1994) carried out an analysis of deviations from the cointegrating relationship of seven important exchange rates. They suggested that the exchange rate series possess long memory and therefore such processes could be well described as fractionally integrated processes. Hence, the influence of shocks to the equilibrium exchange rates may only vanish at very long horizons. In this work we analyze the cointegrating structure of five exchange rates to the US dollar, namely the British pound, the Euro, the Swedish Krona, the Canadian Dollar and the Swiss Franc. The series possess long memory and we show that they can be modeled through fractional integration. In fact, standard cointegration is rejected with the more traditional Johansen CVAR methodology. By using the recently introduced Fractionally Cointegrated VAR by Johansen and Nielsen (2012) we provide a cointegrating relationship taking into account fractional integration.     

Estimating multimodal public transport mode shares in Athens,Greece

We analyze market shares for each public transport mode in total public transport ridership for the multimodal public transportation system of Athens, Greece. This analysis provides useful information for making investment decisions concerning the public transport infrastructure and for allocating subsidies. Due to the non-stationary properties of the data, cointegration techniques are applied to investigate the long run equilibrium relationships. Error Correction Models are implemented to estimate short run dynamics as well as the speed of adjustment from the short to the long run. Results suggest that fare and GDP are the main determinants of the public transport mode shares both in the short and in the long run. Findings also indicate the role of total ridership fluctuations in explaining variations in public transport mode shares.     

Do denominations of origin provide useful quality signals? The case of Bordeaux wines

This paper investigates whether the existing Denominations of Origin (DOs) provide useful quality signals for wine consumers. To test our conjecture that the large number of existing DOs is too many for the typical consumer, we investigate the patterns of co-movement among average monthly wholesale prices for red wines from the 11 main DOs in Bordeaux over 16 years, 1999–2014. Our results indicate that consumers substitute among these wines according to the similarity of semantic elements in the names of DOs on the labels, and not according to prices or terroir that could reflect intrinsic quality where the names as such cannot. This finding suggests that the current DOs are too numerous and complex to provide helpful quality signals to consumers. A substantial reduction of the number of DOs might be warranted to better address the broader informational issue in wine markets.     

Cointegration and causality among the onshore and offshore markets for China's currency

China has taken steps to develop offshore markets for renminbi trading and to liberalize exchange-rate determination in its onshore market. We examine the interaction between onshore and offshore markets with attention to how the interaction has been affected by widening of the onshore trading band first in April 2012 and further in March 2014. Ties between the onshore and offshore markets were closest before the first band widening and steadily loosened thereafter. We further study the cointegration and lead-lag effects between offshore and onshore spot and forward markets and show that there is a long-term equilibrium relationship between any pair of them. Our results suggest stronger causality running from the spot onshore rate to the spot offshore rate than vice versa. Between the spot and forward markets, there is evidence of bidirectional linear and nonlinear causality, which implies foreign impulses have had an influence on the domestic market.     

Cointegration in China's log import demand: Price endogeneity and structural change

The monthly data of China's log import from January 2000 to December 2013 are used to estimate the import demand elasticities, with the consideration of possible price endogeneity due to China's large share of the international log market, and structural break caused by global financial crisis in 2008. To address the possible structural break, cointegration tests allowing for a deterministic shift in the level of the variables are employed, and a two-stage estimation with top-down sequential elimination algorithm is performed on the restricted subset VECM. The results demonstrate that there exists a long-run cointegration relationship between China's log import and the explanatory variables. The import elasticities of macroeconomic development and import price are around 0.76 and −0.81, respectively. Other things being equal, the structural break would induce a 29.6% decline in China's log import. All the above parameters are significant at the 1% risk level. Furthermore, the contribution decomposition analysis suggests that China's macroeconomic development plays a dominant role in determining its log import, which implies that China's log import would not increase as quickly as before, given that its economy is shifting into the “New Normal State”. This conjecture is supported by our simulations, which indicate that, by 2020, the growth rate of China's log import will be lower than it has been in the past and the import volume would be approximately 1.1–1.6 times greater compared to imports in 2013.     

Unemployment and labour force participation in Spain

This article examines the relationship between the unemployment rate and the labour force participation rate in Spain. Cointegration analysis is performed for aggregate, male and female time-series. Results suggest that there is no a long-run relationship between the two variables for the aggregate and male cases. However, the findings support a long-run relationship between the two variables for the female time-series. Thus, the unemployment invariance hypothesis is supported in the two former cases but not in the latter.     

What drives stock market integration? An analysis using agribusiness stocks

This article explores the drivers of regional stock market integration with a focus on the agribusiness sector across relevant regional trade blocs around the world. We implement panel cointegration models to analyze the stock indices of agribusiness firms in the Southern Common Market (MERCOSUR), European Union (EU), Asia‐Pacific Economic Cooperation (APEC), and North American Free Trade Agreement (NAFTA). Based on the literature on market integration and stock return pricing, we identify nine possible determinants of stock market integration, which we separate into three categories: individual market performance, macroeconomic conditions, and agricultural trade. In our analysis, we account for agriculture‐specific factors to control for possible structural shifts in financial markets regimes by including the two main commodity price bubbles during last 20 years. Our results show that most of the variables included in our categories have been important factors in promoting regional stock market integration. Moreover, integration among regional stock markets was strengthened by the implementation of trade agreements. This effect is stronger in trade blocs with fewer members, such as NAFTA and MERCOSUR, compared with larger and more heterogeneous blocs, such as the EU and APEC.