Correlations in price changes and volatility across international stock markets

The short-run interdependence of prices and price volatilityacross three major international stock market is studied. Dailyopening and closing prices of major stock indexes for the Tokyo,London, and New York stock markets are examined. The analysisutilizes the autoregressive conditionally heteroskedastic (ARCH)family of statistical models to explore these pricing relationship.Evidence of price volatility spillovers from New York to Tokyo,London to Tokyo, and New York to London is observed, but noprice volatility spillover effects in other directions are foundfor the pre-October 1987 period.     

Measuring equity market integration using uncorrelated information flows: Tokyo,London and New York

Equity markets do not pass all overnight information into prices instantly at the opening of trade. We adjust open-to-close return series for non-instantaneous information absorption and then use adjusted series to measure integration among three major equity markets. Because the adjusted daytime return series are uncorrelated, we can accurately measure the size, and identify the sources, of transmissions. Overnight news, as represented by foreign open-to-close returns, explains 13% of opening price variation (close-to-open returns) in New York, 14% in Tokyo and 30% in London. For New York and Tokyo, the largest influences come from the market that trades immediately prior (London and New York respectively) whereas opening price variation in London is linked closer with New York than Tokyo. Foreign volatility spillovers are also significant, and subject to asymmetric effects.     

Do bulls and bears move across borders? International transmission of stock returns and volatility

This article investigates empirically how returns and volatilitiesof stock indices are correlated between the Tokyo and New Yorkmarkets. Using intradaily data that define daytime and overnightreturns for both markets, we find that Tokyo (New York) daytimereturns are correlated with New York (Tokyo) overnight returns.We interpret this result as evidence that information revealedduring the trading hours of one market has a global impact onthe returns of the other market. In order to extract the globalfactor from the daytime returns of one market, we propose andestimate a signal extraction model with GARCH processes.     

Impact of stock market trading on currency market volatility spillovers

This research aims to detect the volatility linkages among various currencies during operating and non-operating hours of three major stock markets (Tokyo, London and New York) by employing bivariate VAR-BEKK-GARCH model in selected currency pairs. In particular, the aim is to analyze whether the major stock markets have a differential impact on volatility linkages in currency markets. The results indicate that volatility linkages in intraday are far stronger then in daily results. One remarkable result is that rather than major currencies, some minor and exotic currencies play a leading role in volatility transmission during trading hours of major stock markets.     

After-Hours Stock Prices and Post-Crash Hangovers

After-hours pricing in foreign equity markets of multiple-listed U.S. securities appeared to be efficient in predicting New York prices in the weeks immediately following the October 1987 crash but relatively uninformative in succeeding months. By contrast, daily changes in New York prices appear to be efficiently incorporated in after-hours trading on both the Tokyo and London exchanges throughout the sample period. This paper suggests that the asymmetry and temporal variations in cross-market correlations are consistent with rational investor behavior in equity markets with nonzero transaction costs and time-varying share price volatility.     

Do bears and bulls swim across oceans? Market information transmission between greater China and the rest of the world

This study investigates returns and volatilities transmission across Greater China’s four emerging stock markets and three developed international markets, Tokyo, London, and New York. Using daily open and close price data from 1994 to 2001, we provide empirical evidence that the overnight returns on all the Greater China stock indices can be estimated by using information from at least one of the three developed markets’ daytime returns. The contemporaneous return spillovers are in general unidirectional from more advanced major international markets to the Chinese markets. However, split-sample analysis suggests that there is also evidence of bi-directional return spillovers after the 1997 Asian financial crisis. We also find that there are no one-period lagged return spillover effects from the three advanced markets to the Chinese markets, except for Taiwan. Finally, Mainland China’s two stock markets are not affected by contemporaneous nor delayed “bad news”.     

News from the U.S. and Japan: Which moves the yen/dollar exchange rate?

Intra-daily movements in the yen/dollar exchange rate are examined in four non-overlapping segments within each business day from January 1980 to September 1985. The results indicate that the dollar tended to appreciate in the New York segment and depreciate in the European segment. In three of the four subsamples considered, the Tokyo segment made virtually no contribution to annual yen/dollar rate movements. The volatility of the exchange rate also differed across markets. Finally, in examining the relative effects of news from the U.S. and Japan explicitly, U.S. money announcement surprises had the most consistent effects.     

Price Interactions in a Sequential Global Market: Evidence from the Cross-listed Stocks

In this paper, we investigate the pattern of dynamic interactions among the prices of those stocks that are cross-listed on the three major stock markets of the world, i.e. New York, London and Tokyo. Major findings are: first, regardless of the nationality of stocks, innovations in the 'home' market returns are always fed into the returns in the 'overseas' markets, with the former causing the latter in the Granger sense. However, innovations in the New York market returns of foreign stocks are fed back into their respective home markets, contributing to the price discovery there. Second, the 'succeeding' overseas market, which operates immediately after the home market, plays a dual-role: it conducts the home market innovations to the next-opening overseas market, as well as adds its own innovations. Third, the exchange rate changes substantially influence the overseas market returns, but not the home market returns. The exchange rates appear to play a role in the transmission mechanism mainly via the inter-market price parity.     

Linkages among European and world stock markets

Causal relations and dynamic interactions among equity returns in ten countries for the period 1983–1994 are analysed. An innovation accounting approach based on a multivariate vector autoregressive (VAR) model is used to estimate the proportion of each market return's forecast error attributable to innovations in foreign market returns. Three major results appear. The variance decompositions indicate a strong degree of economic interaction among stock markets. The US stock market has a considerable influence on stock market performance in almost every country, while there is no substantial inter-continental influence from the European stock markets on the world's two largest equity markets in New York and Tokyo. Finally, the pattern of the impulse-response functions illustrates a rapid international transmission of stock market events, supporting the hypothesis of international stock market efficiency.     

Bivariate Nonparametric Density Estimation of Stock Prices and Volume

This paper comprehensively investigates the joint movement of stock prices and trading volume of New York and Tokyo stock markets by undertaking nonparametric density estimation. Bivariate nonparametric density estimation has been reported as a powerful tool for revealing complicated relations between two variables. In application to finance, it is important to use a method robust for heavy-tailed densities, since the distributions of asset price changes are known to have heavy tails, and information about sudden and large price changes is contained in the tails. The empirical regularities found in this paper are mostly consistent with previous literature, but partially disagrees with the work of Gallant et al. (1992).     

TIME‐VARYING VOLATILITY IN CANADIAN AND U.S. STOCK INDEX AND INDEX FUTURES MARKETS: A MULTIVARIATE ANALYSIS

We use a multivariate generalized autoregressive heteroskedasticity model (M‐GARCH) to examine three stock indexes and their associated futures prices: the New York Stock Exchange Composite, S&P 500, and Toronto 35. The North American context is significant because markets in Canada and the United States share similar structures and regulatory environments. Our model allows examination of dependence in volatility as it captures time variation in volatility and cross‐market influences. Estimated time variation in volatility is significant, and the volatilities are highly positively correlated. Yet, we find that the correlation in North American index and futures markets has declined over time.     

中国艺术品投资收益:离岸与在岸市场的特征和互动

文物艺术品既是一个国家的历史印记和文化瑰宝,也是情感资产和动产。本文基于2000-2017年全球艺术品核心市场——北京、香港、纽约和伦敦核心拍卖行中国书画的微观数据,使用特征价格法构建全球中国艺术品市场价格指数,展示全球中国艺术品拍卖市场发展的全貌,同时创新性地使用重复交易数据探讨离岸和在岸中国艺术品市场投资特征和互动关系。研究表明:北京和香港市场作为中国艺术品最大的在岸和离岸拍卖市场价格相互联动,走势基本一致;艺术品财务收益和精神回报是艺术品投资收藏和消费的主要原因,不同市场间财务收益和风险分散的差异是艺术品市场资产配置和资金流动的动力;纽约和伦敦市场中国艺术品投资收益率低于北京和香港,香港是全球中国艺术品投资收益率最高的地区,重复交易中的北京-香港交易策略占优,离岸香港市场得天独厚的环境优势使香港中国艺术品市场未来发展前景可期。     

How do macroeconomic news surprises affect round-the-clock price discovery of gold?

We examine round-the-clock international price discovery of gold among the major gold markets—New York, London and Shanghai during news-intensive and no-news time zones using one-minute data. Using GMM based parallel price discovery measure, we find global leadership of the US as New York gold futures lead across five time zones with 56% information share. New York/London (Nylon) timezone (51%) is the most informative trading session in sequential price discovery for all markets in 24-h. Our aggregate and disaggregate news analysis reveals that the US news surprises have a substantial and positive impact on its price discovery leadership while Eurozone news surprises have a negative impact and Chinese news have negligible impact. Using least absolute shrinkage and selection operator (LASSO) regression, we find scheduled news with a large surprise index has a significant yet asymmetric impact as negative news triggers a strong reaction. The impact of news surprise is state-dependent and display sign-reversals during extreme uncertainty, adverse macroeconomic conditions and abnormal investor behaviour.     

A model of the financial firm with imperfect asset and deposit elasticities

The paper develops an intertemporal model to estimate the production technology of financial firms such as banks. Price taking is testable in each separate market, for assets and liabilities, and competitive price taking is a nested special case. Such tests are applied both to outputs and inputs. Empirical results for a sample of banks in New York and New Jersey indicate that price taking applies only in markets for labor and time deposits. In markets for loans, demand deposits, cash and materials, the price taking hypothesis is not accepted.     

Cream-Skimming or Profit-Sharing? The Curious Role of Purchased Order Flow

Purchased order flow refers to the practice of dealers or trading locales paying brokers for retail order flow. It is alleged that such agreements are used to “cream skim” uninformed liquidity trades, leaving the information-based trades to established markets. We develop a test of this hypothesis, using a model of the stochastic process of trades. We then estimate the model for a sample of stocks known to be used in order purchase agreements that trade on the New York Stock Exchange (NYSE) and the Cincinnati Stock Exchange. Our main empirical result is that there is a significant difference in the information content of orders executed in New York and Cincinnati, and that this difference is consistant with cream-skimming.     

顺义谋划国际会展名城之路

一个以新能源的科研、生产和示范为主题,在国内处于领先地位的新能源和可再生能源基地有望在北京八达岭经济开发区落成。记者了解到,八达岭经济开发区在充分利用延庆县资源优势的基础上,已明确提出建设新能源产业园的发展规划。新能源产业园位于延庆县     

What happened to liquidity when world war I shut the NYSE?

This paper examines how financial markets responded to the longest circuit breaker in American financial history: the four-month suspension of trading on the New York Stock Exchange following the outbreak of World War I. The suspension that began on July 31, 1914 fostered a substitute trading forum called the New Street market. Trading on New Street began almost immediately and offered economically meaningful liquidity services despite its impaired price transparency. A simple cross-sectional model of bid–ask spreads on New Street demonstrates that New Street liquidity responded to economic incentives. New Street's success implies that, from a public policy perspective, expensive back-up trading facilities are not required to preserve liquidity during a trading suspension in established markets. Back-up records of share ownership and transfer facilities, however, are crucial to maintaining liquidity.     

上海期货交易所金属铜国际定价能力研究

近年来,上海期货交易所作为金属铜的三大国际期货交易市场之一,市场机制日渐成熟,价格发现功能日益增强,但其国际定价能力到底有多大,与伦敦金属交易所和纽约商业交易所的联动关系如何,逐渐受到国际市场关注。本文借助计量分析方法,在相关系数、协整关系、Granger成因、方差分解等方面研究三大交易所铜期货价格之间的相互联系。实证结果表明,伦敦金属期货交易所铜期货的国际定价能力居第一位,上海期货交易所铜期货的国际定价能力在2005年我国汇率制度改革后超越纽约商业交易所居第二位,上海市场期铜价格对其他两大期货市场存在显著的影响力。     

U.K. and U.S. trading of British cross-listed stocks: an intraday analysis of market integration

This article analyzes intraday patterns for U.K. and U.S. tradingof British cross-listed stocks. For each market, the intradaypatterns for these stocks closely resemble those of otherwisesimilar, non-cross listed stocks. There is a 2-hour period eachday when cross-listed stocks are traded both in New York andin London. This overlap is characterized by concentrated tradingas private information, originating in New York, gets incorporatedinto prices in both markets. Cross-border competition for orderflowtends to reduce already declining spreads in London. By contrast,New York specialists maintain     

Information Flows across Markets: Evidence from China–Backed Stocks Dual–Listed in Hong Kong and New York

Using a bivariate generalized autoregressive conditional heteroskedasticity (GARCH) model, we examine patterns of information flows for China–backed stocks that are cross–listed on exchanges in Hong Kong and New York. Results analyzing the dual–listed stocks indicate significant mutual feedback of information between domestic (Hong Kong) and offshore (New York) markets in terms of pricing and volatility. Stocks listed on the domestic market appear to play a more significant role of information transmission in the pricing process, whereas stocks listed on the offshore market play a bigger role in volatility spillover.