DYNAMICS BETWEEN NORTH AMERICAN AND EUROPEAN AGRICULTURAL FUTURES PRICES DURING TURMOIL AND FINANCIALIZATION

North American and European agricultural futures markets faced significant changes in recent years, i.e., the financialization which originated in the USA, the increase of futures trading in Europe and the recent price turmoils in international commodity markets. We analyse the long‐ and short‐run dynamics between North American and European agricultural futures prices during these institutional changes. The empirical results show that the US markets lead in terms of price transmissions and volatility spillovers. US markets, however, predominantly react to deviations from the long‐run equilibrium which indicates a rising impact of European agricultural markets on a global scale.     

Exchange rate volatility and bilateral exports of Malaysia to Singapore,China, Japan,the USA and Korea

This study examines the impact of exchange rate volatility on bilateral exports of Malaysia to Singapore, China, Japan, the USA and Korea. Exchange rate volatility is estimated by an autoregressive conditional heteroscedasticity model. The Johansen cointegration method and the dynamic ordinary least squares estimator are used in the estimations. There is some evidence of exchange rate volatility to have significant impact on real total exports in the long run, but more evidence of exchange rate volatility is found to have significant impact on sub-categories of real total exports in the short run. The impact of exchange rate volatility differs across bilateral exports. The impact of exchange rate volatility on exports can be negative or positive. Generally, exchange rate volatility is not harmful to bilateral exports of Malaysia.     

Tourism Taxes: Implications for Tourism Demand in the UK

Before one can understand tax implications for the tourism industry, one must understand the sensitivity of tourism demand. Using a recently developed theoretical framework, we model inbound tourism demand in the UK. The results suggest that tourism demand in the UK is very price sensitive and that measures which result in increasing tourism prices will have a significant negative impact on tourist arrivals. It is believed that a reduction in the VAT rate could boost UK's tourism sector, depending on the extent to which a decrease in taxation is passed on in the form of price reductions. The results also suggest that arrivals from neighboring countries are 98% higher than from distant origins; however, expenditure per capita of the former is 52% lower than the latter. We also found that common language between the origin and the destination increases arrivals 7% more than non‐native English‐speaking origins.     

Nontourism services in Barbados: 1970–97

This paper initially refers to some of the classifications of services used by various authors, followed by the components that comprise nontourism services in Barbados and their linkages to the other sectors of the Barbados economy. Using regression analysis, variables that may influence nontourism services in the long and short run are then identified. In the long run, the variables that impact nontourism services are relative real incomes, tourist arrivals, merchandise imports, commercial bank credit, relative prices, and government policy. The short run is influenced by relative real incomes, tourist arrivals, and merchandise imports. Since tourist arrivals influence nontourism services in the long and short run, Barbados must still focus on tourism activity to maximize its foreign exchange potential from nontourism services.     

基于异质面板模型的我国省际旅游业发展与经济增长研究

利用1999—2007年中国31个省市的入境旅游人次、国际旅游(外汇)收入、国内旅游人次和国内旅游收入四个指标的面板数据衡量旅游业发展水平,并运用异质面板协整方法检验中国省际旅游业发展与经济增长之间的关系。研究发现:国内旅游与入境旅游的发展对全国及所有省市的经济增长均有显著的正效应,其中,入境旅游对经济增长的促进作用更显著;与此同时,经济增长和入境旅游人次、国际旅游(外汇)收入和国内旅游收入存在长期单向Granger因果关系,表明经济增长也推动着入境旅游和国内旅游的发展。     

Volatility transmission between Japan,UK and USA in daily stock returns

In the past, there are a lot of studies which conclude that the holiday, asymmetry and day-of-the-week effects influence stock price volatility. Most of the studies are based on a class of generalized auto-regressive conditional heteroskedasticity (GARCH) models. No one examines these effects simultaneously using stochastic volatility (SV) models. In this paper, using the SV model, we examine whether these effects play an important role in stock price volatilities. Furthermore, we consider spillover effects between Japan, UK and USA, where spillover effects in price level as well as volatility are taken into account. We are grateful to two anonymous referees for suggestions and comments. We also acknowledge Toshiaki Watanabe who gave us a lot of helpful suggestions and comments in the preliminary version of this paper. This research is partially supported from Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research (C) #18530158, 2006–2009, and Grant-in-Aid for COE Research) and the Zengin Foundation (Grant-in-Aid for Studies on Economics and Finance), which are acknowledged by H. Tanizaki.     

PRICE DYNAMICS,FOREIGN EXCHANGE AND ANTICIPATED SHOCKS IN A TOURISM ECONOMY

Using a dynamic model of an open monetary economy, this paper examines the effects of tourism‐related anticipated shocks on goods prices and foreign exchange reserves. Foreign tourists consume mainly non‐traded goods in holiday destinations, converting them into exportable goods. This gives rise to a tourism terms‐of‐trade effect that affects the accumulation of foreign exchange. Announcements of anticipated events bring tourist visits forward, resulting in an initial under‐adjustment or an over‐adjustment in the prices of the non‐traded goods when the tourism terms‐of‐trade effect is positive or negative. This leads to an increase or a decrease in foreign reserves in the long run.     

Forecasting tourism demand to Catalonia: Neural networks vs. time series models

The increasing interest aroused by more advanced forecasting techniques, together with the requirement for more accurate forecasts of tourism demand at the destination level due to the constant growth of world tourism, has lead us to evaluate the forecasting performance of neural modelling relative to that of time series methods at a regional level. Seasonality and volatility are important features of tourism data, which makes it a particularly favourable context in which to compare the forecasting performance of linear models to that of nonlinear alternative approaches. Pre-processed official statistical data of overnight stays and tourist arrivals from all the different countries of origin to Catalonia from 2001 to 2009 is used in the study. When comparing the forecasting accuracy of the different techniques for different time horizons, autoregressive integrated moving average models outperform self-exciting threshold autoregressions and artificial neural network models, especially for shorter horizons. These results suggest that the there is a trade-off between the degree of pre-processing and the accuracy of the forecasts obtained with neural networks, which are more suitable in the presence of nonlinearity in the data. In spite of the significant differences between countries, which can be explained by different patterns of consumer behaviour, we also find that forecasts of tourist arrivals are more accurate than forecasts of overnight stays.     

THE DYNAMIC RELATION BETWEEN RETURNS,TRADING VOLUME,AND VOLATILITY: LESSONS FROM SPILLOVERS BETWEEN ASIA AND THE UNITED STATES

This paper investigates the dynamic relationship between index returns, return volatility, and trading volume for eight Asian markets and the US. We find cross‐border spillovers in returns to be non‐existent, spillovers in absolute returns between Asia and the US to be strong in both directions, and spillovers in volatility to run from Asia to the US. Trading volume, especially on the Asian markets, depends on shocks in domestic and foreign returns as well as on volatility, especially those shocks originating in the US. However, only weak evidence is found for trading volume influencing other variables. In the light of the theoretical models, these results suggest sequential information arrivals, with investors being overconfident and applying positive feedback strategy. Furthermore, new information causes price volatility to rise due to differences in its interpretation among traders, but the subsequent market reaction takes the form of adjustment in price level, not volatility. Lastly, the intensity of cross‐border spillovers seems to have increased following the 1997 crisis, which we interpret as evidence of increased noisiness in prices and diversity in opinions about news originating abroad. Our findings might also help to understand the nature of financial crises, to predict their further developments and consequences.     

Revisiting the shock and volatility transmissions among GCC stock and oil markets: A further investigation

The paper explores the empirical evidence of the volatility interactions among the Gulf Cooperation Council (GCC) stock markets and world oil price over the weekly period spanning from June 24, 2005 to March 25, 2011. The study is conducted based on the BEKK-GARCH process developed by Kroner and Ng (1998) and outlining the asymmetry in the conditional variances of the stock and oil markets. The findings show evidence of shock and volatility linkages among GCC stock and oil markets, and reveal that the spillover effects are more apparent for volatility patterns. They also indicate that the stock and oil markets exhibit asymmetry in the conditional variances. From the perspective of portfolio strategies, the results display certain sensitivity to the GCC stock prices, allowing thus better understanding of the relationship between each stock market and oil price. Our findings are crucial for practitioners, policy makers and investors who seek to make earnings by diversifying their portfolios.     

Modeling the Taiwan Stock Market and International Linkages

This paper analyzes the Taiwan stock market and examines its price and volatility linkages with those of the United States. In particular, it tests the hypothesis that the short-term volatility and price changes spill over from the developed markets, mainly the United States, to the emerging Taiwan stock market. The model and the test are built upon Engle's ARCH (autoregressive conditional heteroskedasticity) and Engle and Kroner's M-GARCH (multivariate generalized ARCH) models. The paper differs from previous studies on the Taiwan stock market in three respects. First, instead of using daily closing prices, it uses close-to-open and open-to-close returns to avoid the problem of overlapping samples. It carefully models the day-of-the-week effect in daily data to avoid misspecification of the model. Second, to circumvent the generated regressor problem arising from the two-step estimation procedure, it also employs the M-GARCH model where all parameters are estimated simultaneously. Third, the misspecification test is carried out on various kinds of asymmetric ARCH factors. A substantial volatility spillover effect is found from the US stock market to the Taiwan stock market, especially for the model using close-to-open returns. There is also evidence supporting a spillover effect in price changes. The findings can be explained by the recent gradual opening of the Taiwan stock market to foreign investors.     

Volatility and Spillover Effects of Yen Interventions

We consider the effects of interventions by the Bank of Japan's (BoJ) on the intraday volatility of the US dollar/Japanese yen (USD/JPY) exchange rates and their spillovers to volatility of the euro/JPY exchange rates. We use 15‐minute data during the period 2000–2004 and employ multivariate generalized autoregressive conditional heteroskedasticity (GARCH) modeling and quartile plots of intraday volatility to analyze the intraday effects of the BoJ interventions on exchange rate volatility. The results indicate that the BoJ interventions decrease daily volatility of the USD/JPY exchange rate but increase the volatility of the euro/JPY series. On intervention days, the intraday volatility has different patterns to those on non‐intervention days.     

SMALL OPEN ECONOMIES AND MEAN REVERTING NOMINAL EXCHANGE RATES*

The nominal exchange rates of some small open economies seem to be long memory mean reverting. The long‐run volatility of these exchange rates may, therefore, be lower than previously recognised. The empirical findings are backed by a theoretical framework that link monetary policy to the dynamics of exchange rates. It suggests that exchange rates of small open economies that follow price level target monetary policies may be mean reverting.     

The impact of interest rate and exchange rate volatility on banks' stock returns and volatility: Evidence from Turkey

This paper investigates the effects of interest rate and foreign exchange rate changes on Turkish banks' stock returns using the OLS and GARCH estimation models. The results suggest that interest rate and exchange rate changes have a negative and significant impact on the conditional bank stock return. Also, bank stock return sensitivities are found to be stronger for market return than interest rates and exchange rates, implying that market return plays an important role in determining the dynamics of conditional return of bank stocks. The results further indicate that interest rate and exchange rate volatility are the major determinants of the conditional bank stock return volatility.     

DYNAMIC CORRELATION BETWEEN STOCK RETURNS AND EXCHANGE RATE AND ITS DEPENDENCE ON THE CONDITIONAL VOLATILITIES – THE CASE OF SEVERAL EASTERN EUROPEAN COUNTRIES

The objective of the paper is to determine whether the linkage between stock returns and exchange rates in several Eastern European countries was in accordance with the flow oriented model or the portfolio‐balance approach. The dynamic interdependence between exchange rate and stock returns is determined using the Dynamic Conditional Correlation (DCC) framework. The results pointed to a negative dynamic correlation which is in line with portfolio‐balance approach. Rolling regression revealed that conditional correlation was affected primarily by conditional volatility of currency, while the impact of stock returns volatility was negligible.     

CAPITAL FLOWS AND JAPANESE ASSET VOLATILITY

Characterizing asset price volatility is an important goal for financial economists. The literature has shown that variables that proxy for the information arrival process can help explain and/or forecast volatility. Unfortunately, however, obtaining good measures of volume and/or order flow is expensive or difficult in decentralized markets such as foreign exchange. We investigate the extent that Japanese capital flows, which are released weekly, reflect information arrival that improves foreign exchange and equity volatility forecasts. We find that capital flows can help explain transitory shocks to generalized autoregressive conditionally heteroskedastic volatility.     

‘I’ve been to Bali too’ (and I will be going back): are terrorist shocks to Bali's tourist arrivals permanent or transitory?

International visitor arrivals to Bali are examined using univariate and panel Lagrange multiplier (LM) unit root tests with one and two structural breaks to ascertain if shocks to the time path of tourist arrivals are permanent or transitory. The univariate LM unit root tests with one and two structural breaks fail to reject the null hypothesis of a unit root in international visitor arrivals to Bali. However, the panel LM unit root tests with one and two structural breaks applied to a panel of Bali's 11 major source markets reject the null and support the alternative hypothesis of a joint trend-stationary series with transitory shocks. This result suggests that, the effects of the recent terrorist acts on Bali on the growth path of tourist arrivals from major markets are only transitory and that as a consequence Bali's tourism sector is sustainable in the long run.     

入境旅游客源市场结构实证分析——以江苏省为例

运用SSM分析方法,选取江苏省2001年-2009年相关入境旅游统计数据,对江苏省入境旅游市场结构变化进行分析。研究表明：江苏省入境旅游客源市场中,法国、意大利、新加坡和泰国客源市场基础较好,具有较强的竞争力;中国台湾、日本、印度尼西亚、韩国、美国、加拿大、英国、德国、澳大利亚和其他客源市场基础也较好,但竞争能力更具显著优势;除其他地区之外,马来西亚市场基础最好,然而竞争潜力却较弱;中国香港、中国澳门、菲律宾和俄罗斯原有市场基础相对于其理想规模,市场基础较差,但其竞争能力相对优势明显。从整体上看,由于江苏省入境旅游客源市场结构效果指数和竞争力效果指数均大于1,说明现阶段江苏省市场结构相对合理,并且具有一定的入境旅游客源市场竞争优势,同时结合相应的Shift—Share分析图表,给出了不同结构状态下江苏省入境旅游营销策略。     

IMPACT OF EXCHANGE RATE UNCERTAINTY ON COMMODITY TRADE BETWEEN THE US AND AUSTRALIA*

Exchange rate volatility is said to have negative or positive effect on trade flows. Previous studies that considered the impact of exchange rate uncertainty on the trade flows of Australia employed trade data either between Australia and rest of the world or between Australia and her few major trading partners. They were unable to discover any significant impact. In this paper when we disaggregate trade data by commodity between Australia and one of her major trading partners, the US, we find exchange rate volatility to have short‐run effects on trade flows of most industries. However, the short‐run effects last into long run, only in limited cases, though more in export commodities than import ones.     

EFFECTS OF STOCHASTIC INTEREST RATES AND VOLATILITY ON CONTINGENT CLAIMS*

We investigate the effects of stochastic interest rates and the volatility of the underlying asset price on contingent claim prices including futures and options prices. The futures price can be decomposed into the forward price and an additional term; the options price can be decomposed into the Black‐Scholes formula and several additional terms by applying the asymptotic expansion approach of the small disturbance asymptotics developed by Kunitomo and Takahashi (1995, 1998, 2001, 2003a, 2003b). The technical method is based on a new application of the Malliavin‐Watanabe Calculus or the Watanabe‐Yoshida Theory on Malliavin Calculus in stochastic analysis. We illustrate our new formulae and their numerical accuracy.