Examining Stock Volatility in the Segmented Chinese Stock Markets: A SWARCH Approach

Abstract

This study adopts the SWARCH model to examine the volatile behavior and volatility linkages among the four major segmented Chinese stock indices. We find strong evidence of a regime shift in the volatility of the four markets, and the SWARCH model appears to outperform standard generalized autoregressive conditional heteroskedasticity (GARCH) family models. The evidence suggests that, compared with the A-share markets, B-share markets stay in a high-volatility state longer and are more volatile and shift more frequently between high- and low-volatility states. In addition, the relative magnitude of the high-volatility compared with that of the low-volatility state in the B-share markets is much greater than the case in the two A-share markets. B-share markets are found to be more sensitive to international shocks, while A-share markets seem immune to international spillovers of volatility. Finally, analyses of the volatility spillover effect among the four stock markets indicate that the A-share markets play a dominant role in volatility in Chinese stock markets.     

Chinese and world equity markets: A review of the volatilities and correlations in the first fifteen years

After more than 15 years of Chinese equity markets, we study how variance, covariance, and correlations have developed in these markets relative to world markets, based on the dynamic conditional correlation (DCC) model of Engle [Engle, R., 2002. A dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics 20(3), 339–350.]. Chinese markets offer A-shares to domestic investors and otherwise identical B-shares to foreign investors. We find that the volatility of A-shares has declined over the past decade. We find no asymmetric volatility relative to world markets in China. Contrary to the global trend of increasing cross-country correlations, we find stationary correlations for China. A-share indices have never been correlated with world markets, and B-share indices exhibit a low degree of correlation with Western markets (0–5%) and a slightly higher degree of correlation with other Asian markets (10–20%). We interpret these findings using Gordon's growth model.     

LONG MEMORY IN SOUTHERN AFRICAN STOCK MARKETS

The paper examines long memory in equity returns and volatility for stock markets in Botswana, South Africa and Zimbabwe using the ARFIMA‐FIGARCH model in order to assess the efficiency of these markets in processing information. The findings are diverse. Significant long memory is demonstrated in the equity returns of Botswana; while, in South Africa this result is not statistically different from zero. For Zimbabwe returns are characterised by an anti‐persistent process. Furthermore, all the markets investigated provide evidence of long memory in volatility with the exception of Botswana where there is no evidence of volatility persistence and hence the return from taking risk in this market cannot be predicted on the basis of previous values.     

Stock market efficiency the evidence from FTA indices of eleven major stock markets

Summary This article presents a survey of recent literature on stock market efficiency, with special reference to the US and Dutch stock markets. Additionally, models are specified and estimated for the daily return since 1987 on FTA indices for eleven major stock markets, allowing for non-normality, heteroskedasticity, leverage effects and autocorrelation. The leverage effect and positive autocorrelation are characteristics of some of the indices investigated. The magnitude of the autocorrelation, however, is so small, that no profitable arbitrage opportunities arise and weak-form efficiency of these stock markets is not rejected.     

杠杆率的持续性与溢出效应:基于四部门的实证研究

文章采用TVP-VAR模型系统考察了我国非金融企业部门、金融部门、居民部门、政府部门四部门杠杆分别对总产出和资产价格波动的时变影响，从产出效应和潜在风险两方面实证检验了各部门杠杆率的可持续性。研究发现：杠杆率过快增长会加重资产价格波动，使金融不稳定性上升，削弱杠杆率对产出增长的促进作用。当前，非金融企业部门、政府部门、居民部门杠杆对产出仍有较显著的正向影响，而金融部门杠杆上升对产出的正向影响最小，对资产价格波动的正向影响最大。进一步，文章实证研究了杠杆率变动在部门间的信息溢出，发现政府部门加杠杆将显著推升全社会杠杆率，金融部门杠杆率上升对非金融企业部门杠杆有挤出作用，居民部门杠杆则可以分担部分非金融企业和政府部门的过剩杠杆。因此，当前应优先调控金融部门杠杆，减少资金在金融体系内空转套利，其他三个部门则应保持杠杆率总量的平稳。研究结论对于宏观金融稳定和结构性去杠杆政策的实施有重要的实践意义。     

Volatility and Volume in Chinese Stock Markets

The fact that stock market returns in Europe and the USA are characterised by conditional heteroscedasticity is by now well documented in a large literature. We address the question of whether the same is true of the four Chinese stock markets (Shanghai and Shenzhen A and B) over the period from 25 November 1994 to 27 April 2001. Using daily index data, we make two departures from the standard GARCH(1,1) model. First, we use exponential GARCH (EGARCH) to allow for asymmetry in the volatility, which may be present as a result of leverage effects. Second, we respond to evidence of two-way causality between volume and return (and return volatility) by introducing a simultaneous equation model of the relationship. The results of estimating the model indicate that asymmetry does not seem to be present to a significant degree, possibly as a result of lack of information or concern among Chinese investors. We find that volume appears to play a significant part in determining index volatility, which may reflect information arrival effects or may alternatively result from the direct impact of trading on volatility. At the same time, we also find that both the level of returns and their conditional variance have an impact on trade volume, probably because positive (negative) returns tend to attract (deter) investors into the markets.     

印花税政策调整对市场反应影响研究

文章使用中国A股市场的日数据检验了印花税税率的调整对市场流动性、市场的波动和股票异常收益率的影响.实证的结果表明,印花税税率的变化和市场流动性呈反向关系,但并不总是如此.与一般认知不同的是,无论印花税税率的增加还是减少都不会引起市场波动加剧.相应的,股票异常收益率对对印花税税率的变化也并不总是敏感的.基于上述实证结果,文章认为印花税并不是调控证券市场的有效政策工具.     

中国黄金市场与外汇市场间收益、波动溢出效应实证分析--基于VEC-DCC(BEKK)-BVEGARCH模型

用向量自回归动态二元EGARCH模型,对中国黄金市场与外汇市场间的收益与波动,在金融危机前后溢出效应进行分析。研究显示：美元兑人民币汇率和中国黄金不存在溢出效应,欧元兑人民币汇率对黄金存在负向溢出效应;较之金融危机以前,美元和欧元兑人民币汇率对黄金收益的波动溢出效应减弱,尤其是美元,危机前,黄金市场对来自美元和欧元外汇市场的信息冲击,存在显著＂杠杆效应＂;危机期间,市场间＂杠杆效应＂减弱。     

Modeling exchange rate return volatility of RMB/USD using GARCH family models

The paper examines volatility of RMB exchange rate return of onshore and offshore markets. The onshore rate covered 4/01/2008–5/09/2016 while offshore spanned 31/12/2008-22/09/2016, the returns were not normally distributed and were integrated of order zero I(0). The Ljung-Box Q statistics depicts the presence of autocorrelation in return series and Ljung-Box Q² statistics of power transformed for conditional heteroscedasticity for lags of 6, 12 and 20 all indicated the presence of conditional heteroscedascity. The exchange rates volatility was persistent in both markets. However, offshore return was more persistent while leverage effects exist in both markets. Asymmetry power Autoregressive conditional Heteroscedastic (APARCH) model was the best model for forecasting purposes in both markets while Glosten, Jogannathan and Rankle, Generalized Autoregressive conditional Heteroscedastic (GJR-GARCH) model and Integrated Generalized Autoregressive conditional Heteroscedastic (I-GARCH) were the worst models in onshore and offshore return markets respectively. APARCH model should be adopted for future studies.     

Fluctuation and reform: A tale of two RMB markets

The framework of “one currency, two markets” makes China’s currency market quite unique compared to its Western counterparts. In this study, we characterize the linkage between the onshore and offshore Renminbi exchange rates, and estimate the effect of the recent Renminbi market reforms against the backdrop of Renminbi internationalization. Using GARCH-type models, we find robust evidence of the volatility clustering phenomenon and the leverage effect in the pricing differential between the onshore and offshore exchange rates. We also find that the recent Renminbi currency market reforms all increase the volatility of the pricing differential between the two Renminbi markets, while these reforms are proved to either enlarge or shrink the pricing differential.     

Do Chinese publicly listed companies adjust their capital structure toward a target level?

We study the determinants of capital structure for 650 Chinese publicly listed companies over the period from 1999 to 2004. We posit that a firm's decision on capital structure is inherently dynamic, and estimate the resulting dynamic capital structure model. The main findings of the paper are as follows: (i) Chinese firms adjust toward an equilibrium level of debt ratio in a given year at a very slow rate; (ii) firm size, tangibility and state shareholdings are positively associated with firm's leverage ratio, while profitability, non-debt tax shields, growth and volatility are negatively related to firm's leverage ratio; (iii) lagged profitability has a negligibly small and positive impact on firm's leverage ratio; (iv) for a firm experiencing a large reduction in its leverage ratio only about 11% of the discrepancy between its desired and actual leverage level is eliminated within a year (compared to more than 18% for full firm sample); (v) extending the basic model to allow for both the target level and the speed of adjustment to be endogenously determined, we find that Chinese firms tend to adjust faster if they are farther away from the equilibrium leverage level; and lastly (vi) extending the sample period to cover the earlier periods starting from 1993, when the Chinese stock markets were first developed, results in a slower speed of adjustment for firms in the below target sample.     

多元化经营、公司价值和投资效率

多元化经营下的企业价值一直是学术界关注的热点,但是却少有研究关注企业的多元化行为对企业投资效率的影响.为此,本文以中国A股上市公司2003-2004年的数据为研究样本,检验了企业的多元化程度与企业价值和企业投资效率的关系.研究发现我国上市公司的多元化经营程度和企业价值之间呈负相关关系,即多元化经营损害了企业价值.研究还发现多元化程度与企业投资效率也呈负相关关系,即多元化程度越高,企业投资效率越低.     

Income volatility,household leverage,and consumption in Korea

Using the micro household data in Korea, we examine the effects of income volatility changes on households’ leverage and consumption. We found that households who faced increased income volatility lowered their leverage ratio. A one standard deviation increase in income volatility was associated with 1.3 ∼ 1.5 percentage point decrease in the leverage ratio. The effects of income volatility changes on households’ leverage choices varied with households’ borrowing constraints and other socioeconomic backgrounds. We also found that when faced with enlarged income uncertainty, households’ income coefficients on consumption were lowered. The income coefficient of average households was estimated to be around 0.16, while households with increased income volatility were around 0.12. In particular, similar to the relations in leverage ratio changes, consumptions among potentially borrowing-constrained households and those with ‘net-short’ position in real estate assets were more affected by increases in income volatility. This can be understood that households smoothed their consumption during the periods of increased income volatility, and this was shown in the smaller consumption elasticity on income. This can be attributed to the fact that faced with increased income volatility, households lower the risk exposure of their financial net wealth by lowering their leverage ratio.     

上海原油期货与国际原油期货:联动机制和溢出效应

建立VECM—GARCH—BEKK—T模型,分析了上海原油期货价格与WTI、布伦特两大国际基准油价格之间的传导效应、均值溢出效应、波动溢出效应、BEKK交叉效应以及杠杆效应。研究发现,上海、WTI和布伦特原油期货三个市场存在显著的均值溢出和波动溢出效应。其中,上海原油期货上市重构了WTI和布伦特原油期货两个市场的均衡关系、主导影响因素、影响期限以及波动溢出效应;上海原油期货与国际油价有机联动,对WTI的正向影响要大于对布伦特的影响,但WTI、布伦特对上海的影响依然占主导地位。此外,短期内,当期上海原油期货价格与历史WTI和上海原油期货价格波动联系显著为正,而与历史布伦特原油期货价格则显著为负。因此,需要在持续提高上海原油期货参与者数量、提高国际参与度和认可度、完善原油期货区间波段管理机制、提升原油期货交易量、加快人民币国际化进程等方面努力。     

Shipment frequency of exporters and demand uncertainty

This paper examines how exporting firms adapt to the uncertainty stemming from demand volatility. By using monthly customs data from France, we decompose exports into different extensive and intensive margins including two novel margins: the number of months the firms exported (frequency) and the average export value per month. We establish four empirical patterns. First, firms export less to markets with higher demand volatility. Second, this effect is mainly explained by the frequency margin. Third, volatility affects the frequency margin through two channels: indirectly through lower trade volume and directly through logistics re-optimization. In particular, our results suggest that firms send less frequent, larger shipments to more uncertain markets conditional on total exports. Fourth, the effect of demand volatility is magnified on markets with longer time-to-ship. We propose that these observations are in line with simple stochastic inventory management approaches.     

Global Financial Crises and Time‐Varying Volatility Comovement in World Equity Markets

This paper studies volatility comovement in world equity markets between 1994 and 2008. Global volatility factors are extracted from a panel of monthly volatility proxies relating to 25 developed and 20 emerging stock markets. A dynamic factor model (FM) is estimated using two‐year rolling‐window regressions. The FM's time‐varying variance shares of global factors map variations in volatility comovement over time and across countries. The results indicate that global volatility linkages are significantly stronger during financial crisis periods in Asia (1997‐1998), Brazil (1999), Russia (1998) and the United States (2000, 2007‐2008). Emerging markets are weakly synchronised with world volatility in comparison with developed markets. In particular, emerging market comovement is significantly lower than developed market comovement during the Asian and US sub‐prime crises. This suggests a degree of decoupling of emerging markets from the global drivers of volatility during these periods.     

Long-Run Comovements in East Asian Stock Market Volatility

Two integrated stock markets are generally subjected to common shocks revealing that commonalities in fundamentals drive their underlying return processes. In such a case, volatility series should share a long-run component although their transitory components might temporary diverge. In this paper, we investigate stock market integration in East Asia by analyzing the co-persistent nature of their ex-post observed volatility. Using recent fractional cointegration techniques, we find that volatility of several markets converges in the long run to a common equilibrium. Our results reveal that a global integration process drives the most developed markets of the region, while no evidence of co-persistence appears for emerging markets.     

涨跌幅限制对证券市场影响的实验经济学研究

涨跌幅限制是一种稳定证券市场价格的制度安排。长期以来有关涨跌幅限制的政策效果一直存在较大的争议。本文借鉴西方实验经济学的基本方法。利用相关计算机实验系统。设置无涨跌幅限制、静态涨跌幅限制和动态涨跌幅限制三组不同的实验环境。分另4选取实验参与人进行模拟证券交易,对静态和动态涨跌幅限制制度对市场的影响进行研究。本文得出的结论是。与没有价格限制的基准实验相比较,动态和静态涨跌幅限制都显著的抑制了价格对基础价值的偏离。提高了市场的信息反映程度。实验结果还表明。动态涨跌幅限制能够抚平市场反应的波动程度．提高市场的流动性,而静态涨跌幅限制在一定程度阻碍了交易的实现,影响了市场交易的持续性。     

经营杠杆、企业创新投入和高管持股

针对现有经营杠杆对于企业创新行为的研究存在的空缺,以2016—2019年中国A股共1350家上市制造业公司为研究样本,实证检验经营杠杆对企业创新投入的影响以及高管持股的调节作用.结果表明,经营杠杆对企业创新投入正相关,高管持股在经营杠杆与企业创新投入关系中起正向调节作用.研究结果补充了企业创新投入的影响因素,并实证检验了高管持股可以有效解决由委托代理关系而造成的风险偏好较低的问题.     

我国权证及标的证券日内交易模式研究——以五粮液为例

本文对五粮液正股(000858)及权证日内交易模式进行了实证研究,结果表明五粮液正股的波动率(L型)和交易量(U型)日内模式不同,认购权证均呈L型模式,认沽权证均呈U型模式;对正股和权证日内波动率进行的GRANGER检验表明,正股波动率是导致认购权证日内波动率形成的原因,但不是导致认沽权证的原因。文中对我国市场呈现这种日内交易模式的原因进行了初步探讨,认为主要是由于中国股票市场和权证市场所执行交易制度的不同和较高的交易成本。