美国黄金期货与黄金现货互动关系的实证研究

文章通过建立误差修正模型（ Error Correction ModeL,ECM）和基于持有成本理论的误差修正模型（ Error Correction ModeL Cost of Carry,ECM-CoC）,对美国黄金市场的期货与现货市场在金融危机前后的互动关系进行了实证分析。结果表明：在2007年金融危机前美国黄金期货市场引导黄金现货市场,期货市场的价格发现功能得以实现;在金融风暴后美国黄金现货和期货市场存在双向引导关系;美国黄金期货市场和现货市场之间存在长期均衡关系,期货市场和现货市场均存在误差修正机制,美国现货市场价格恢复均衡的调整速度高于黄金期货市场。     

An Empirical Examination of the Dissemination of Equity Price Innovations Between the Emerging Markets of Nordic-Baltic States and Major Advanced Markets

: We employ three econometric models to examine the relative influence of the stock markets of the United States, the United Kingdom, France, and Germany on the stock markets of the Nordic-Baltic states. The results show that the Nordic-Baltic markets respond to price innovations from the United States, the United Kingdom, France, and Germany in diverse ways in the period 2001–2013. Response patterns for Finland, Norway, Sweden, Iceland, and Denmark are more significant to market innovations from the United States, the United Kingdom, and France, and less significant to those from Germany. German influence is more significant over Latvia, Lithuania, and Estonia than the rest of the advanced markets. While the dynamics of the Nordic-Baltic markets exhibit a dominance of own price innovation, the influence of the United States is stronger than that of France, the United Kingdom, and Germany. These results imply that investors from the Nordic States may derive greater benefits by diversifying into Germany and vice versa, rather than diversifying into the United States, the United Kingdom, or France. Investors from the Baltic States may obtain greater advantages by adopting portfolio strategies that take advantage of potentially better diversification benefits obtainable from the United States, the United Kingdom, and France rather than from Germany, and the reverse will also be in order.     

Who Moves the Asia-Pacific Stock Markets—US or Japan? Empirical Evidence Based on the Theory of Cointegration

This study examines the recent debacle of the Asian-Pacific stock markets by utilizing the theory of cointegration to investigate which developing markets are moved by the markets of Japan and the United States. The empirical evidence suggests that some countries are dominated by the US, some are dominated by Japan, and the remaining countries are dominated by neither during the time period investigated. The appropriate error correction model is estimated and is used to perform out-of-sample forecasting.     

Spillover of fear: Evidence from the stock markets of five developed countries

This study investigates the spillover effect in five leading stock markets (i.e., the United States, the United Kingdom, Germany, Japan, and France). It estimates the spillover indices of these countries and finds that information transmission between these stock markets increases considerably after 1998. Germany and the United States are the main stock markets conveying information to other international markets. Germany primarily influences the French stock market, and the United States significantly influences many other stock markets. Results show that the US stock market shows three periods during which its net spillover effect exceeds zero: the period prior to 1997, the dot-com bubble from 2000 to 2002, and the subprime mortgage crisis and Lehman Brothers bankruptcy from 2007 to 2008. The fear index correlates significantly with the spillover of the US stock market into other markets. The spillover effect of the US stock market demonstrates asymmetry and the likelihood to spread positive fundamental information and non-fundamental information (e.g., fear).     

Government Bond Market Seasonality, Diversification, and Cointegration: International Evidence

Using government bond market data for the United States, Canada, the United Kingdom, Germany, France, and Japan, I investigate several hypotheses. Market efficiency is investigated by testing for seasonality and cointegration. The seasonality results are mixed. In regression tests, a January effect is detected in several markets (United States, Germany, France, United Kingdom, and Canada) using local currencies. However, in a nonparametric test, the January effect is supported only for France. When U.S. dollar returns are used, regression results also reveal a January effect for several markets (United States, Germany, France, and United Kingdom). These results are not confirmed by a nonparametric test. Correlation analysis shows considerable diversification opportunities for short‐term investors. Cointegration tests indicate that several of the markets share cointegrating vectors, increasing the possibilities of using other endogenous bond markets to better predict movements in a particular market.     

International P/L insurance output,input, and productivity comparisons

This research provides (bilateral) divisia and multilateral divisia indexes of output, input, and productivity for the property-liability (P-L) insurance industry for the following countries: United States, West Germany, Switzerland, France, and Japan. The time period studied is 1975 to 1987. The results indicate that considerable diversity exists among different countries, with Japan showing the weakest productivity growth. The United States and West Germany are associated overall with high productivity.     

An empirical investigation of international asset pricing

We investigate several asset pricing models in an internationalsetting. We use data on a large number of assets traded in theUnited States, Japan, the United Kingdom, and France. The modeltogether with the hypothesis of capital market integration implytestable restrictions on multivariate regressions relating assetreturns to various benchmark portfolios. We find that multifactormodels tend to outperform single-index models in both domesticand international forms especially in their ability to explainseasonality in asset returns. We also find that the behaviorof the models is affected by change in the regulatory environmentin international markets.     

The impact of the 2008 and 2010 financial crises on the Hurst exponents of international stock markets: Implications for efficiency and contagion

This study analyzes how the 2008 and 2010 financial crises, which began in the US and Greece respectively, affected the Hurst exponents of index returns of the stock markets of Belgium, France, Greece, Japan, the Netherlands, Portugal, the UK and US. We perform two innovative statistical tests for this purpose. The first assesses whether the returns exhibit a long memory in the pre-crisis and crisis periods and determines the extent to which the Hurst exponents, calculated with the multifractal detrended moving average technique (MFDMA), differ from the tranquil to the crisis periods. The second test uses copula models to assess whether the correlation between the local Hurst exponents of the markets where the crises originated and those of the other markets increased due to the crises. The results of the first test suggest that although most of the returns exhibit a long memory in the 2008 crisis period, this is not the case in either the pre-crisis or the 2010 crisis periods. These findings shed light on the dynamics of market efficiency. The results of the second test show a significant increase in correlation between the local Hurst exponents of several markets, suggesting the existence of financial contagion. We observed that the 2008 crisis had a greater impact on the memory properties of stock returns than the 2010 financial crisis.     

Integration Between the Baltic and International Stock Markets

Using cointegration tests, this paper analyzes the existence of long-run relationships among Baltic stock markets and major international stock markets, including the United States, Japan, Germany, the United Kingdom, and France. Bivariate and multivariate cointegration tests indicate a common trend linking Latvia to European markets. Evidence indicates that the German market dominates this long-run relationship. In general, short-term Granger causality indicates causality running from the European markets to the Baltic markets, as well as among the Baltic states, excepting Latvian and Lithuanian short-term effects on the Estonian market. Overall, the results suggest that international investors can obtain diversification benefits given a long-term investment horizon because of the low degree of integration between the Baltic and international capital markets.     

Regime-Dependent Determinants of China’s Sovereign Credit Default Swap Spread

We study the determinants of China’s sovereign credit default swap (CDS) spread in a regime-switching framework. This framework allows us to identify potential cross-asset-class contagion from global financial markets to China. To avoid endogeneity biases coming from domestic costs of sovereign default, we model domestic financial indicators as endogenous variables and estimate the regime-switching model with instrumental variables. We find strong evidence of cross-asset-class contagion but no evidence of contagion from sovereign CDS markets of China’s major trade partners (the European Union, Japan, and the United States).     

China,Japan and the US Stock Markets and the Global Financial Crisis

In this paper, while focusing on the impact that the global financial crisis had on the stock markets of China, Japan, and the United States, the stock-price volatilities and linkage between these three countries are analyzed. In addition, the relationships between macroeconomic variables (real-economy variables and monetary-policy variables) and stock price volatility in each country are investigated. The estimation results of the EGARCH model revealed that although China’s stock price volatility was far greater than those of Japanese and US stock prices, China was less affected by the global financial crisis in 2007 than Japan and the United States. For China, stock price volatility was greater in the early 1990s, shortly after the stock market had been established, than in 2007 when the global financial crisis occurred. Furthermore, it has been revealed that the linkage of Chinese, Japanese, and US stock prices has increased since the global financial crisis. Moreover, Granger causality testing revealed China’s real-economy variables and monetary-policy variables do not affect China’s stock price volatility.     

The interrelatedness of global equity markets, money markets, and foreign exchange markets

This article investigates different aspects of global financial markets, specifically relationships among equity markets, money markets, and foreign exchange markets across countries. To represent the three major financial markets of the world, Japan is the proxy for Asia, Germany is the proxy for Europe, and the United States is the proxy for North America. Strong evidence exists that international money markets and international equity markets are becoming increasingly integrated over time. This article incorporates foreign exchange values as partial determinants of equity returns and money market returns and investigates the interactions among these three asset markets from a global perspective.     

The Determinants of Intra-Industry Trade in Insurance Services

In light of the growing significance of trade in financial services, and the emphasis placed on trade in financial services during the Uruguay round of trade negotiations, this article is the first study of the determinants of intra‐industry trade (IIT) in insurance services. The article analyzes and measures the magnitude of IIT in insurance services for the United States. The empirical results of the determinants of IIT indicate that foreign direct investment in insurance services (FDI) is a significant contributor to the volume of trade in insurance services. These empirical findings confirm the new theoretical trade models that, unlike the traditional trade theory that considered trade and foreign direct investment in insurance services as substitutes, trade and FDI complement each other and hence multinational insurance companies are contributing to an increase in the volume of trade in insurance services. Furthermore, this study shows that trade intensity between the United States and its trading partners leads to product differentiation in insurance services and hence an increase in consumer welfare.     

Financial crisis and extreme market risks: Evidence from Europe

This study draws attention to the proliferation of extreme risks in financial markets prior to and during the course of the recent global financial crisis. It examines the level of such “tail” risks in selected equity, interbank lending and foreign exchange markets in selected EU Member States in relation to the United States. The extent of tail risks is assessed by applying general error distribution (GED) parameterization in GARCH volatility tests of the examined variables. The empirical tests prove that extreme market risks were pronounced across all of the examined European financial markets throughout the crisis. They were also significant prior to the crisis outbreak. The analyzed interbank lending markets exhibited more extreme volatility outbursts than the equity and foreign exchange markets did.     

External balances,trade flows and financial conditions

This paper studies how changing expectations concerning future trade and financial conditions are reflected in international external positions. In the absence of Ponzi schemes and arbitrage opportunities, the net foreign asset position of any country must, as a matter of theory, equal the expected present discounted value of future trade deficits, discounted at the cumulated world stochastic discount factor (SDF) that prices all freely traded financial assets. I study the forecasting implications of this theoretical link in 12 countries (Australia, Canada, China, France, Germany, India, Italy, Japan, South Korea, Thailand, The United States and The United Kingdom) between 1970 and 2011. I find that variations in the external positions of most countries reflect changing expectations about trade conditions far into the future. I also find the changing forecasts for the future path of the world SDF are reflected in the dynamics of the U.S. external position.     

Equity market integration in emerging Balkan markets

This paper examines long-run relationships among five Balkan emerging stock markets (Turkey, Romania, Bulgaria, Croatia, Serbia), the United States and three developed European markets (UK, Germany, Greece), during the period 2000-2009. Conventional, regime-switching cointegration tests and Monte Carlo simulation provide evidence in favour of a long-run cointegrating relationship between the Balkan emerging markets within the region and globally. Moreover, we apply the Asymmetric Generalized Dynamic Conditional Correlation (AG-DCC) multivariate GARCH model of Cappiello et al. (2006), in order to capture the impact of the 2007-2009 financial crisis on the time-varying correlation dynamics among the developed and the Balkan stock markets. Results show that stock market dependence is heightened, supporting the herding behaviour during the 2008 stock market crash period. Our findings have important implications for international portfolio diversification and the effectiveness of domestic policies, as these emerging markets are exposed to external shocks.     

The transmission of market shocks and bilateral linkages: Evidence from emerging economies

The linkage between emerging and developed economies spans beyond the usual trade in goods and services. Underlying trade is the flow of capital for foreign direct investment and for speculation in markets, which renders emerging economies vulnerable to shocks from the developed world. As such, equity return volatility in emerging markets is partly attributable to this dependence. To gauge the importance of bilateral economic and cultural factors in driving economic integration, we adopt a two-step process. First, we use Diebold and Yilmaz's spillover index methodology to extract spillover indices representative of the return volatility spillover effects of the United States, the developed portion of the Euro area, and Japan on financial markets in Asia, the Gulf Cooperation Council countries, Eastern and Central Europe, Africa, and Latin America. Second, we test whether these indices are governed by economic and cultural factors. Our results show that the spillover effects vary across markets and that a strong correlation exists with the volume of trade, security investment, common language, distance, and market capitalization.     

Long-Term Co-Memories and Short-Run Adjustment: Securitized Real Estate and Stock Markets

This study considers whether securitized real estate and stock markets have long-term co-memories and implications for short-term adjustment. Our results offer reasonable support for fractional cointegration (characteristic of a long memory process) between securitized real estate price, stock market price and key macroeconomic factors in some economies. The implication is that where fractional cointegration prevails, securitized real estate and common stocks are substitutable assets over the long run and these assets may not be held together in a portfolio for diversification purpose. Furthermore, short-run analysis indicates that the speed of adjustment towards the long-run equilibrium is faster for fractional integrated vector error correction model (FIVECM) than VECM as the former incorporates a long history of past cointegration residuals. Additional comparisons of the two models’ forecasting accuracy show that incorporating fractional cointegration in a VECM model improves the forecasting performance over conventional VECM models. Our results reinforce the notion that cointegration, fractional cointegration and short-run adjustment dynamics are important in understanding market integration/segmentation.     

International portfolio diversification: an ICAPM approach with currency risk

This article investigates international stock market integration in four major developed economies, namely the United States, the Economic and Monetary Union of the European Union, Japan and the United Kingdom, and two Asian emerging, countries namely China and India, over the period from June 1994 to June 2009. To model stock market integration we estimate a dynamic version of the international capital asset pricing model (CAPM) in the absence of purchasing power parity. Conditional variance is modelled via a multivariate GARCH specification. To investigate the evolution of integration overtime we estimate the CAPM in sub-periods. In addition, we connect our results to the timing of world financial crises. Our findings show that the stock markets tend to move in parallel after June of 2002, although from 2002 to 2006 there have not been crises events. These results support the increasing globalization and interdependence of both emerging and developed markets in the recent decade, reducing the benefits of portfolio diversification.     

Re-examination of international bond market dependence: Evidence from a pair copula approach

The finance literature provides substantial evidence on the dependence between international bond markets across developed and emerging countries. Early works in this area were based on linear models and multivariate GARCH models. However, based on the limitations of these models this paper re-examines the non-linearity, multivariate and tail dependence structure between government bond markets of the US, UK, Japan, Germany, Canada, France, Italy, Australia and the Eurozone, from January 1970 to February 2019 using ARMA-GARCH based pair- copula models. We find that the bond markets in our sample tend to have both upper tail dependence in terms of positive shocks and lower tail dependence in terms of negative shocks. The estimated C-vine shows Eurozone has the highest average dependency. The D-vine, with optimal chain dependency structure shows the best order of connectedness to be the UK, the USA, Italy, Japan, Eurozone, France, Canada, Germany and Australia. The R-vine copula results underline the complex dynamics of bond market relations existing between the selected economies. The estimated R-vine shows Eurozone, Germany and Australia are the most inter-connected nodes. The multivariate distribution structure (interdependency) of bond markets for all countries were modelled with the C-vine, D-vine and R-vine copulas. In this application, the R-vine copula allows for detailed modelling of all bond markets and hence provides a more accurate goodness of fit and mean square error for the interdependency between all markets. In light of the changing volatility in bond markets, we conduct additional tests using time-varying copulas and find that the dependence structure among the bond markets examined is time-varying with the dynamic dependence parameter plots revealing that the nature of the dependence structure is intense during crisis periods.