Long memory revisit in Chinese stock markets: Based on GARCH-class models and multiscale analysis

In the present work we propose the rescaled range analysis (R/S), modified R/S method and detrended fluctuation analysis (DFA) to investigate the long memory property of Chinese stock markets based on the conditional and actual volatility series, and show that the stock markets in China display moderate positive degree of long memory. For the robustness, we implement the multiscale analysis on dynamic changes of time-varying Hurst exponents by applying the rolling window method based on DFA. Our results reveal that APGARCH model with the superior forecasting ability captures the long memory property better than other GARCH-class models for different time scale interval. Interestingly, the time-varying Hurst exponents of the sudden “jumps” for the conditional volatility calculated by the DFA method using the APGARCH model are smaller than that of the actual volatility series, which indicates that APGARCH model may underestimate the long memory property in the Chinese stock market. Our evidences provide new perspectives for the financial market forecasting.     

Could the global financial crisis improve the performance of the G7 stocks markets?

Financial crises are normally associated with negative effects on financial markets. In this article, we investigate whether the most recent global financial crisis (GFC) had any positive impact on the G7 (Canada, France, Germany, Italy, Japan, the United Kingdom and the United States) indices. To conduct the analysis we employ the mean–variance (MV) analysis, CAPM statistics, Hurst exponent, runs test, multiple variation ratio test and stochastic dominance (SD) tests. Our MV and CAPM results conclude that most of the G7 stock indices are significantly less volatile. The results from Hurst exponent, run tests and multiple variation ratio confirm that efficiency improved in the post-GFC period. Finally, our SD results conclude that there is no arbitrage opportunity and the markets are efficient due to the GFC, and, in general, investors prefer investing in the indices after the GFC. Overall, we conclude that the GFC led to markets that are more efficient and mature, confirming that crises can also have positive impacts on stock markets. These findings provide important information for investors and market regulators.     

On the detection of extreme movements and persistent behaviour in Mediterranean stock markets: a wavelet-based approach

We combine the global Hurst exponent and Morlet wavelet multi-resolution analysis (MRA) to investigate the dynamic behaviour of six selected stock markets in the Mediterranean region. Specifically, we employ the resonance coefficients and their power spectra to identify potential extreme movements and long-term dependence in stock returns. Using weekly data for the period 2005 to 2010, our results reveal that the wavelet MRA is able to reconstruct the effects of major extreme shocks on stock returns of studied markets, such as the Asian financial crisis, the 9/11 terrorist attacks and the 2007–2009 financial crisis. Moreover, the wavelet-based global Hurst exponent indicates the presence of long-term dependencies in stock returns of all the considered markets, except for France where the anti-persistent behaviour is detected. Overall, our findings are useful to assess the stock market efficiency and provide new insights into stock market dynamics over different time scales.     

Islamic financial markets and global crises: Contagion or decoupling?

This paper investigates the contagion effects of the global financial crisis (GFC) and Eurozone sovereign debt crisis (ESDC) on Islamic equity and bond markets. Using a sample of Islamic stock indices from various developed and emerging markets and the global Islamic stock and bond (sukuk) indices, we explore asymmetric conditional correlation dynamics across stable and crisis periods and across the two crises. The results fail to provide strong contagion evidence between conventional and Islamic equity and bond indices, supporting the decoupling hypothesis of the Islamic securities. Our findings imply that Islamic equities and bonds may provide a cushion against risk and instability, particularly in periods of turmoil. The small number of contagion cases mostly relates to the ESDC and developed Islamic stock indices. The findings also show that the Islamic emerging stock indices in the BRICS provide the most effective international portfolio diversification benefits compared to the Islamic developed indices.     

噪音交易影响中国股市效率的实证分析

适度的噪音能够增加市场的流动性，但噪音交易的过度存在会对股票市场的效率产生负面的影响。本文借用分形理论的R／S分析法，对中国股市的收益率进行了实证检验，计算其赫斯特（hurst）指数，并与美国和香港的赫斯特指数进行横向比较，以此来分析中国股市的有效性以及噪音交易的程度。     

The impact of Chinese monetary policy on co-movements between money and capital markets

From 2010 to 2017, with interest rate liberalization and capital market development in China, the impact of monetary policies on China’s financial markets underwent continuous evolution. Using the DCC-GARCH model, this study investigates the transmission process of monetary policies from the money market to capital markets (stock and bond markets). The results show that in the early stage the instability of the money and stock markets and the downturn in the bond market are primarily caused by the block of monetary policy transmission and the paucity of fund sources in the capital markets. Subsequently, the outbreak of the 2013 money shortage and the 2015 stock market crash are also closely related to monetary policies. In the later periods, the money and stock markets maintain a low degree of correlation for a long time, reducing the impact of destabilizing factors on the stock market. By contrast, with the advancement of interest rate reform and the optimization of bond market structure, the bond market is highly relevant to the money market. The central bank regulates the bond market more effectively using both traditional and innovative monetary policy tools.     

Contagion effects of the subprime crisis in the European NYSE Euronext markets

This paper presents three tests of contagion of the US subprime crisis to the European stock markets of the NYSE Euronext group. Copula models are used to analyse dependence structures between the US and the other stock markets in the sample, in the pre-crisis and in the subprime crisis periods. The first test assesses the existence of contagion on the relevant stock markets’ indices, the second checks the homogeneity of contagion intensities, and the third compares contagion in financial and in industrial sectors’ indices. Results suggest that contagion exists, and is equally felt, in most stock markets and that investors anticipated a spreading of the financial crisis to the indices of industrial sectors, long before such dissemination was observable in the real economy.     

A Study of Longterm Memory in Stock Market Prices Using Rescaled Range Analysis

Most of the studies on the behaviourof the Indian stock market using the autocorrelation function have revealed that the stock market is weakly efficient and the time series of stock prices and stock indices are random walks. The autocorrelation function assumes Gaussian or near-Gaussian properties in the underlying distribution. The distribution function is assumed to have the normal bellshaped curve. Mandelbrot [1972] has proved that the autocorrelation function works well in determining short-term dependence only. But it tends to underestimate long-run correlation for non-Gaussian series. Alternatively the Rescaled Range Analysis is used to study the long-term dépendance in the time series. The Rescaled Range Analysis (R/S Analysis) is a nonparametric methodology developed by H. E. Hurst, a British hydrologist in 1951. Originally this methodology was applied to study the long-term storage capacity of reservoirs and later it was extended to study many natural systems. This statistical methodology is used for distinguishing random time series from biased random time series (Fractal time series) and to study the persistence of trends and also the presence of periodic and nonperiodic cycles in a time series. In this paper a study of the Indian stock market is carried out using the method of Rescaled Range Analysis and Hurst Coefficient. We conclude that the series of stock prices have persistent behaviour. Nearly 18% of the stock prices are influenced by the past. This ‘memory effect’ in the case of stock indices is found to be 23%. The stock market has shown persistent trends and that the series of prices and indices are biased random walks. The present prices are influenced by the past prices and this influence goes across time scales, one period influencing all the subsequent periods.

     

Short-run and long-run dynamic linkages among international stock markets

This paper investigates the dynamic linkages among the U.S., Japan, U.K. and German stock market indices using daily data for the April 1, 1984 to May 31,91 period. In contrast to previous studies, a vector error correction model of cointegrated variables as developed by Johansen (1988, 1991) and Johansen and Juselius (1990) is employed to examine both short-run and long-run intermarket relationships among these four stock markets. Significant evidence is found in support of both short-run and long-run relationships among these four stock market indices. The U.S. stock market leads other stock markets in short-run in the pre and post October 1987 crash, but leads all other markets in the long-run in all periods examined. The presence of a one long-run cointegrating equilibrium relationship among the four stock market indices implies a limited role of international diversification for investors with long holding periods. However, because the US-Japan-Germany stock market indices, and Japan-UK-Germany indices are not cointegrated with each other, these indices may yield international portfolio diversification in the long-run. Finally, the conflicting results from multivariate cointegration tests found in this study can not be used to provide conclusive evidence on international stock market efficiency.     

Long memory in the volatility of China stock returns

In this paper, we empirically examine the volatility process of China's stock market returns using daily and weekly Shanghai and Shenzhen stock indices during January 1990 to August 2008. To investigate the property of the process, we used the FIGARCH (fractionally integrated GARCH) model including GARCH and IGARCH processes as special cases. Since the FIGARCH model allows fractional integration order, it can detect hyperbolically decaying volatility processes which cannot be explained by previous models with integer integration order. Our results show that the Shanghai and Shenzhen stock indices exhibit long-term dependencies. The long memory properties of the Shanghai and Shenzhen stock markets do not seem to be spuriously induced without exception.     

Price connectedness between green bond and financial markets

We study price connectedness between the green bond and financial markets using a structural vector autoregressive (VAR) model that captures direct and indirect transmission of financial shocks across markets. Using heteroskedasticity to identify the structural VAR model parameters, our empirical findings reveal that the green bond market is closely linked to the fixed-income and currency markets, receiving sizeable price spillovers from those markets and transmitting negligible reverse effects. We also show that, in contrast, the green bond market is weakly tied to the stock, energy and high-yield corporate bond markets. These findings have implications in terms of portfolio and risk management decisions for environmentally aware investors holding positions in green bonds.     

我国证券市场流动性溢出效应的实证研究

2008年金融危机中的一个重要金融现象是流动性溢出效应.本文以我国沪深两市交易的国债和股票为样本,利用VAR技术分析了股票市场与债券市场之间的流动性溢出效应问题.由于我国股票市场的规模远大于交易所交易债券,我们发现存在显著的股市流向债市的流动性溢出效应,而债市流向股市的流动性溢出效应统计上却不显著.同时我们发现各个市场自身的收益率和波动率对其流动性也有着显著的影响.最后我们还发现两市自身的流动性存在着很强的自相关性.证据表明当我国资本市场出现流动性不足时,尤其要加强对股票市场流动性风险的防范和监管.同时也反映出我国要大力发展债券市场的必要,使股市和债市的流动性相互影响相得益彰.     

主权信用评级对证券市场的影响研究述评

国际证券市场的持续动荡,使得主权信用评级的影响作用越加突现。诸多研究指出,主权信用评级调整对股票市场和债券市场都存在影响,但由于市场对信息的敏感程度不同,股票市场比债券市场的反应剧烈,而且股票市场对主权信用评级调整能作出提前响应。由于市场预期和经济周期的合力作用,市场存在着对正负评级变化的不对称反应。因此,对现有文献进行梳理和评议,一方面增进了人们对这一问题的认识和理解,另一方面也为制定风险防范政策提供了一定的参考依据。     

Financialization of food. Modelling the time-varying relation between agricultural prices and stock market dynamics

This article studies the correlation of agricultural prices with stock market dynamics. We discuss the possible role of financial and macroeconomic factors in driving this time-varying relation, with the aim of understanding what caused positive correlation between agricultural commodities and stocks in recent years. While previous works on commodity-equity correlation have focused on broad commodity indices, we study 16 agricultural prices, in order to assess patterns that are specific to agricultural commodities but also differences across markets. We show that an explanation based on a combination of financialization and financial crisis is consistent with the empirical evidence in most markets, while global demand factors don’t appear to play a significant role. The correlation between agricultural prices and stock market returns tends to increase during periods of financial turmoil. The impact of financial turmoil on the correlation gets stronger as the share of financial investors in agricultural derivatives markets rises. Our findings suggest that the influence of financial shocks on agricultural prices should decrease as global financial tensions settle down but also that, as long as agricultural markets are ‘financialized’, it might rise again when it is less needed, i.e. in the presence of new financial turmoil.     

How are gold returns related to stock or bond returns in the U.S. market? Evidence from the past 10-year gold market

Although the gold market over the past decade has been soaring relative to its prior history, there have been few studies on the relationship between the gold market and other major financial markets based on the past decade of data. To re-investigate how the gold market interacts with the stock market and the bond market, we re-visit economic and financial characteristics of gold using the past 10-year data in terms of co-integration, causality, predictive power, and extreme returns. We find that while gold returns are not co-integrated with stock returns and bond returns, gold returns have a unidirectional causality with both of them. Also, we discover that gold returns have some predictive power on subsequent short-term stock returns. Under extreme market scenarios, it turns out that gold returns tend to deteriorate more simultaneously with bond returns than stock returns. This means that gold can better serve as a safe haven for stock in a relative sense during temporary market downturns.     

Stock returns and mutual fund flows in the korean financial markets: a system approach

ABSTRACT

This paper investigates dynamic and causal relations between stock returns and mutual fund flows in Korea using a system method that utilizes information from the stock, bond, and money markets. For this purpose, we employ the Dynamic Seemingly Unrelated Regression, the Seemingly Unrelated Regression Error Correction Model, and two causality tests in a system method to account for cross-equation correlations among markets that have a close relationship with one another. Furthermore, we use the information in the variance-covariance matrix of residual to improve the efficiency of the statistical estimates. The empirical evidence from the system method indicates that fund flows do not respond to eliminate deviations from long-run equilibrium, and stock prices cause net fund flows in the Korean market, implying that investors move their money to the securities that yield higher returns to rebalance their investment portfolios in the short-run. Thus, our findings do not support the popular notion of mutual fund flows as the driving force behind rallies in the Korean financial markets.     

市场分割下中国股市反馈交易实证研究——来自A股、B股和H股市场的经验证据

文章在行为资本资产定价模型(BCAPM)的基础上,通过借鉴Watanabe(2002)的方法,建立了GJR-GARCHM(1,1)-M模型,充分考虑中国股票市场处于分割状态的现状,使用基本覆盖A股、B股和H股市场全部交易历史的市场指数日收盘价数据,对A股、B股和H股市场的反馈交易行为进行研究和比较,结果显示:A股和B股市场都存在显著的正反馈交易效应,反馈交易行为主要取决于波动率水平和市场涨跌两个因素;与成熟股票市场类似,H股和红筹股市场的正反馈交易行为不显著;A股市场的反馈交易行为受市场涨跌因素影响更大,而B股市场的反馈交易行为主要由波动率水平决定;深市比沪市更容易出现正反馈交易者主导市场的现象。文章的研究不仅对行为资本资产定价理论的成立提供了经验性证据,而且对投资经理的实践操作和政策制定者的监管调控都具有一定的参考价值。     

Evidence of cross-asset contagion in U.S. markets

This study examines evidence of cross-asset contagion among REIT, money, stock, bond, and currency markets in the US from 2006 to 2012, which covers the subprime and European sovereign debt crisis. We apply the Granger causality test and a vector auto-regression to examine the change of causality structure. Our results show that contagion exists from medium-term bond markets to equity markets; REIT, money markets and short-term bond markets show little evidence of cross-asset contagion with other markets; and the currency market shows high co-movement and contagion with equity markets. Our findings provide more rewarding asset reallocating strategies for the investors who invest in both bond and equity markets before a crisis to consider reallocating their portfolio into REIT and money markets to benefit from diversification during a crisis period.     

Interrelationships among the Taiwanese,Japanese and Korean TFT-LCD panel industry stock market indexes: An application of the trivariate FIEC–FIGARCH model

The purpose of this study is to analyze the interrelationships among the Taiwanese, Japanese and Korean TFT-LCD panel industry stock market indexes by applying a trivariate FIEC-FIGARCH model. The empirical results confirm that the FIEC-FIGARCH model can be used to capture long memory behavior and allow us to conclude that mean and volatility spillover, and long memory effects are found in these three markets. Furthermore, we found that deviations in the long-run equilibrium for Japanese TFT-LCD panel industry adjust back very slowly in comparison to the other two countries; and that, in terms of conditional covariance, dynamic interrelationships exist among the TFT-LCD panel industry stock market indices of these three countries.     

Mena Stock Markets Integration: Pre and Post Global Financial Crisis

This paper examines the short‐ and long‐run linkages in pre and post global financial crisis among Middle East and North Africa (MENA) stock markets, between MENA and Chinese stock markets and also between MENA and developed (United States and United Kingdom) stock markets. Results indicate that both long‐run co‐integration relationships and short‐run causal linkages among MENA stock markets increased in post‐crisis than that in pre‐crisis sub‐period. The degree of integration between MENA and Chinese stock markets increased in post‐crisis than pre‐crisis. We also find that the degree of integration between MENA and developed (United States and United Kingdom) stock markets increased in post‐crisis than that in pre‐crisis. The presence of increased linkages among MENA markets, and between MENA and Chinese stock markets and also between MENA and developed (United States and United Kingdom) markets has important implications for portfolio investors and policy makers.