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The information flow and market efficiency between the U.S. and Chinese aluminum and copper futures markets
10 references·13 citing·39 second hop
The information flow and market efficiency between the U.S. and Chinese aluminum and copper futures markets (2010)The information flow and market efficienc…Cross-market linkages between U.S. and Japanese precious metals futures trading (2004)Cross-market linkages between…Information Flows Between the U.S. and China Commodity Futures Trading (2003)Information Flows Between the…Market efficiency in agricultural futures markets (2002)Market efficiency in agricult…Who Moves the Asia‐Pacific Stock Markets—US or Japan? Empirical Evidence Based on the Theory of Cointegration (1999)Who Moves the Asia‐Pacific St…Further evidence on breaking trend functions in macroeconomic variables (1997)Further evidence on breaking …The causal relationships between equity indices on world exchanges (1995)The causal relationships betw…Comparisons of tests for multivariate cointegration (1992)Comparisons of tests for mult…MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)MAXIMUM LIKELIHOOD ESTIMATION…International Transmission of Stock Market Movements (1989)International Transmission of…Statistical analysis of cointegration vectors (1988)Statistical analysis of coint…Return and volatility transmission between China's and international crude oil futures markets: A first look (2020)Return and volatility transmi…Night trading and market quality: Evidence from Chinese and US precious metal futures markets (2020)Night trading and market qual…Time‐series momentum in China's commodity futures market (2019)Time‐series momentum in China…The pricing efficiency of crude oil futures in the Shanghai International Exchange (2019)The pricing efficiency of cru…Testing commodity futures market efficiency under time-varying risk premiums and heteroscedastic prices (2018)Testing commodity futures mar…Information Flows Between the US and China’s Agricultural Commodity Futures Markets—Based on VAR–BEKK–Skew-t Model (2017)Information Flows Between the…Do trend following strategies work in Chinese futures markets? (2017)Do trend following strategies…Forecasting copper futures volatility under model uncertainty (2015)Forecasting copper futures vo…Derivative markets in emerging economies: A survey (2015)Derivative markets in emergin…Economic spillovers between related derivatives markets: The case of commodity and freight markets (2014)Economic spillovers between r…Exogenous Shocks and Information Transmission in Global Copper Futures Markets (2013)Exogenous Shocks and Informat…Asymmetric Information and Volatility Forecasting in Commodity Futures Markets (2013)Asymmetric Information and Vo…A leader of the world commodity futures markets in the making? The case of China's commodity futures (2013)A leader of the world commodi…Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models (1991)A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems (1993)Likelihood-Based Inference in Cointegrated Vector Autoregressive Models (1995)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing for a Unit Root in Time Series Regression (1988)On measuring synchronization of bulls and bears: The case of East Asia (2007)Spillover Effects Among the Greater China Stock Markets (2009)The co-movement of stock markets in East Asia (2009)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis (1989)Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots (1991)Nonstationarity and Level Shifts With an Application to Purchasing Power Parity (1992)Introductory Econometrics for Finance (2008)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Are Chinese stock markets efficient? A cointegration and causality analysis (1997)Short-term and long-term price linkages between the equity markets of Australia and its major trading partners (1999)Propagative causal price transmission among international stock markets: evidence from the pre- and postglobalization period (2002)Macroeconomics and Reality (1980)Common stochastic trends in international stock markets (1992)A New Approach to Measuring Financial Contagion (2003)Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets (2017)Why Does Stock Market Volatility Change Over Time? (1989)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Information transmission in informationally linked markets: Evidence from US and Chinese commodity futures markets (2011)Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model (2017)The financial economics of white precious metals — A survey (2017)Dynamic Conditional Correlation (2002)Identifying the comovement of price between China's and international crude oil futures: A time-frequency perspective (2020)Information connectedness of international crude oil futures: Evidence from SC, WTI, and Brent (2022)Time-frequency volatility spillovers across the international crude oil market and Chinese major energy futures markets: Evidence from COVID-19 (2022)Stock prices and exchange rate dynamics (2005)Economic growth and energy consumption revisited — Evidence from linear and nonlinear Granger causality (2008)Energy consumption and economic growth: New insights into the cointegration relationship (2011)A selected review of agricultural commodity futures and options markets (2004)Efficiency tests of agricultural commodity futures markets in China (2005)Efficiency in agricultural commodity futures markets in India (2011)PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERTIES OF POOLED TIME SERIES TESTS WITH AN APPLICATION TO THE PPP HYPOTHESIS (2004)
this work references cited by second hop

References

  • 1988Statistical analysis of cointegration vectors17,038 cited
  • 1990MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY14,047 cited
  • 1997Further evidence on breaking trend functions in macroeconomic variables2,035 cited
  • 1989International Transmission of Stock Market Movements1,412 cited
  • 1992Comparisons of tests for multivariate cointegration582 cited
  • 1999Who Moves the Asia‐Pacific Stock Markets—US or Japan? Empirical Evidence Based on the Theory of Cointegration234 cited
  • 2002Market efficiency in agricultural futures markets174 cited
  • 2004Cross-market linkages between U.S. and Japanese precious metals futures trading122 cited
  • 1995The causal relationships between equity indices on world exchanges108 cited
  • 2003Information Flows Between the U.S. and China Commodity Futures Trading95 cited

Cited by

  • 2020Return and volatility transmission between China's and international crude oil futures markets: A first look102 cited
  • 2014Economic spillovers between related derivatives markets: The case of commodity and freight markets97 cited
  • 2019The pricing efficiency of crude oil futures in the Shanghai International Exchange73 cited
  • 2013A leader of the world commodity futures markets in the making? The case of China's commodity futures

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59 cited
  • 2019Time‐series momentum in China's commodity futures market37 cited
  • 2020Night trading and market quality: Evidence from Chinese and US precious metal futures markets34 cited
  • 2015Derivative markets in emerging economies: A survey29 cited
  • 2017Do trend following strategies work in Chinese futures markets?28 cited
  • 2013Asymmetric Information and Volatility Forecasting in Commodity Futures Markets26 cited
  • 2013Exogenous Shocks and Information Transmission in Global Copper Futures Markets25 cited
  • 2015Forecasting copper futures volatility under model uncertainty25 cited
  • 2018Testing commodity futures market efficiency under time-varying risk premiums and heteroscedastic prices24 cited
  • 2017Information Flows Between the US and China’s Agricultural Commodity Futures Markets—Based on VAR–BEKK–Skew-t Model21 cited