Oil price shocks and stock market activities: Evidence from oil-importing and oil-exporting countries

While the relationship between oil prices and stock markets is of great interest to economists, previous studies do not differentiate oil-exporting countries from oil-importing countries when they investigate the effects of oil price shocks on stock market returns. In this paper, we address this limitation using a structural VAR analysis. Our main findings can be summarized as follows: First, the magnitude, duration, and even direction of response by stock market in a country to oil price shocks highly depend on whether the country is a net importer or exporter in the world oil market, and whether changes in oil price are driven by supply or aggregate demand. Second, the relative contribution of each type of oil price shocks depends on the level of importance of oil to national economy, as well as the net position in oil market and the driving forces of oil price changes. Third, the effects of aggregate demand uncertainty on stock markets in oil-exporting countries are much stronger and more persistent than in oil-importing countries. Finally, positive aggregate and precautionary demand shocks are shown to result in a higher degree of co-movement among the stock markets in oil-exporting countries, but not among those in oil-importing countries.     

基于机构投资者交易需求的中国股市流动性研究

基于机构投资者的交易需求,结合对15家机构投资者的调研,通过实证数据发现:我国股市的流动性水平高于美国NYSE等世界其他主要证券市场,机构投资者一般对国内股市整体流动性水平比较满意。但是我国股市流动性波动率高,并且和市场回报率之间存在单向格兰杰因果关系。对机构投资者来说,当前我国股市主要的流动性问题不是流动性水平过高或过低的问题,而是流动性风险过高并难以和价格风险相分散。     

Volatility spillovers and the price of risk: Evidence from the Swiss stock market

This paper investigates the behavior of the risk premium on the Swiss stock market. The risk premium consists of two components, which are estimated separately: the amount of volatility and the unit price of risk. By estimating a bivariate GARCH-M model the volatility of the Swiss market is found to be strongly exposed to spillovers from the other major financial markets. To estimate the unit price of risk a Kalman filter procedure is employed, which allows for variability in this variable. Investors place a high price on risk, when the market is considered `expensive'. First version received: March 1998/final version received: July 1998     

股指期货在风险管理中的应用

股指期货属于金融期货的一种,是以股票市场的股票价格指数为标的物的期货合约.在很多发达的股票市场乃至资本市场中,股指期货扮演着规避风险、套期保值的重要角色.在利用股指期货对股票组合进行套期保值时,可能面临各种风险,其中,基差风险是套期保值者面临的最主要风险.利用向量误差修正模型可以估计最小风险套期保值比,为投资者综合选择风险最小的套期保值策略提供了现实的、可操作的定量分析工具.     

EFFICIENCY OF THE TAIWAN STOCK MARKET*

This study uses two popular technical trading rules to assess whether the gradual liberalization of Taiwan's securities markets has improved the efficiency of its stock market. The results show that the two rules have considerable predictive power for 1983–1990, they become less predictive for 1991–1997, and they cannot predict the market for 1998–2005. These results indicate that the efficiency of Taiwan stock market has been greatly enhanced by the liberalization measures implemented over the last 20 years.     

Tail dependence analysis of stock markets using extreme value theory

Financial risk modelling frequently uses the assumption of a normal distribution when considering the return series which is inefficient if the data is not normally distributed or if it exhibits extreme tails. Estimation of tail dependence between financial assets plays a vital role in various aspects of financial risk modelling including portfolio theory and hedging amongst applications. Extreme Value Theory (EVT) provides well established methods for considering univariate and multivariate tail distributions which are useful for forecasting financial risk or modelling the tail dependence of risky assets. The empirical analysis in this article uses nonparametric measures based on bivariate EVT to investigate asymptotic dependence and estimate the degree of tail dependence of the ASX-All Ordinaries daily returns with four other international markets, viz., the S&P-500, Nikkei-225, DAX-30 and Heng-Seng for both extreme right and left tails of the return distribution. It is investigated whether the asymptotic dependence between these markets is related to the heteroscedasticity present in the logarithmic return series using GARCH filters. The empirical evidence shows that the asymptotic extreme tail dependence between stock markets does not necessarily exist and rather can be associated with the heteroscedasticity present in the financial time series of the various stock markets.     

Impact of macroeconomic factors and country risk ratings on GCC stock markets: evidence from a dynamic panel threshold model with regime switching

This study examines the non-linear relationship between stock markets in GCC countries and their country risk ratings as well as with major macroeconomic factors. Based on a dynamic panel threshold model with two and four regimes, the results provide evidence of short-term asymmetry between first-lagged GCC stock returns and the performance of GCC stock markets. In addition, only the financial risk (FR) rating has a significant positive effect on the performance of GCC stock markets according to the prevailing regimes for the GCC lagged returns and the Brent oil market. Among the macroeconomic factors, improvements in the global stock markets, the MSCI Global Islamic Index, and the oil price increased the performance of GCC stock markets, whereas increases in the gold price, the 3-month U.S. Treasury bill rate, and the U.S. Treasury bond rate reduced the performance of the GCC stock markets. These results have important implications for investors, policymakers, and portfolio managers.     

Effects of a price limit change on market stability at the intraday horizon in the Korean stock market

This article investigates the effects of a price limit change on the volatility of the Korean stock market’s (KRX) intraday stock price process. Based on the most recent transaction data from the KRX, which experienced a change in the price limit on 15 June 2015, we examine the change in realized variance after the price limit change to investigate the overall effects of the change on the intraday market volatility. We then analyse the effects in more detail by applying the discrete Fourier transform to the data set. We find evidence that the market becomes more volatile in the intraday horizon because of the increase in the amplitudes of the low-frequency components of the price processes after the price limit change. Therefore, liquidity providers are in a worse situation than they were prior to the change.     

价格涨跌幅限制起到了助涨助跌作用吗?

价格涨跌幅限制是否具有助涨助跌作用对于判断涨跌幅限制的实施效果具有重要的意义。既有的研究表明 ,股价在发生涨跌停时存在一定的过度反应。然而 ,本研究发现 ,在股价发生涨跌停时 ,虽然涨跌幅限制不能完全消除过度反应 ,但是可以显著地减小而不是增大过度反应的程度。本研究还发现 ,价格涨跌停本身并不是导致过度反应的原因 ,因为股价不仅在涨跌停时存在过度反应 ,而且在大幅度变化但未达到涨跌停时也存在过度反应。本文据此认为 ,没有证据表明价格涨跌幅限制具有助涨助跌作用。     

Nonlinear causality relationship between stock and real-estate returns in PIGS countries: wealth effect or credit-price effect

It is the first research to investigate for nonlinear interdependence of these two markets in the PIGS (Portugal, Italy, Greece and Spain) countries based on the quantile causality test. The results reveal the existence of the nonlinear causality relationship between the stock returns and real-estate returns in the PIGS countries.

The empirical results of the quantile causality test suggest a significant causal relationship between these two markets in the PIGS countries, especially in the tail quantile. The existence of a significant tail interdependence implies that investors are unable to hedge the risk across the real-estate and stock markets when they are extremely volatile. Therefore, when there exist extreme returns between the two markets in the PIGS countries, both continuous negative impacts imply that instability in the real-estate market drives instability in the stock market and vice versa. It could be one of the major reasons why it deepened the systemic risk of the European sovereign debt crisis.     

The Effects of Risk,Inflation and Dividend Yield on Common Stock Returns: The case of Korea

This study examines whether market equilibrium models of capital asset prices have any empirical validity in the Korean stock market, which is thin and relatively under-developed. In any study of the Korean stock market, the impurity of its ex post stock price and the attendant presumption of suspected non-normality of the stock return distribution cannot be ignored. This study finds that the Capital Asset Pricing Model (CAPM) has some explanatory power in the Korean stock market. In particular when data are segmented by time periods, the results tend to validate the general premises of the CAPM for the most recent period, i.e., between 1984 and 1987. [313]     

Feedback effects between credit ratings and financial markets

Credit rating agencies often make sharp adjustments in their pronouncements during times of stress in financial markets. These adjustments typically happen with a delay relative to shocks in market prices. Since prices convey information about what market participants are doing and thinking, it is likely that rating agencies take into account market prices when issuing their pronouncements.In order to understand the relationship between credit ratings and financial prices, we develop a model of debt roll-over in which rating agencies incorporate information publicly available in financial markets. We find that (1) rating agencies respond to market prices, i.e. nonfundamental price volatility can shift financing conditions from a low risk spread and high credit rating equilibrium to an equilibrium with high spread and low rating, and (2) rating agencies can anchor expectations about the equilibrium in financial markets, thus serving as an antidote to nonfundamental price volatility.     

Assessing downside and upside risk spillovers across conventional and socially responsible stock markets

Since the aftermath of the recent global financial crisis, socially responsible (SR) investments have become an alternative form of conventional finance, giving rise to further systemic risk between conventional and SR stock markets. In this paper, we assess this risk transmission using Value at Risk (VaR) modeling for the US, Europe and the Asia-Pacific region, over the period covering January 2004–December 2016. We find that socially responsible stock markets exhibit less risk than do conventional markets in terms of the risk hedging properties induced by the SR screening. Second, contributions to systemic risk vary across market phases and return distribution levels, with a larger contribution and spillover effect during the recent global financial crisis. For example, at the downside of the distribution (CoVaR at 5%), the conventional European index shows the highest contribution to the world market’s systemic risk, while the US stock market shows the highest contribution at the upside of the distribution (CoVaR at 95%). This finding is justified by the difference in the risk aversion of investors that varies with the market state as well as the disparities in the development of SR markets.     

The risk-return relations: evidence from the Korean and Taiwan stock markets

This article examines the risk-return relations conditional on up and down market periods in the Korean and Taiwan stock markets. Based on statistical tests adjusted for the effects of heteroskedasticity and autocorrelation of the residuals, beta is found positively (negatively) related to realized returns in up (down) markets. However, the results are sensitive to portfolio aggregation methods. Its role as a risk measure vanishes in down markets for the two-way (beta-size and size-beta) sorted portfolios. Unsystematic risk is significantly and positively priced only in up markets and mainly for beta-sorted portfolios while total risk is correctly priced except in Taiwan during down markets. Moreover, the impact of skewness and kurtosis on realized returns is not only sensitive to portfolio aggregation methods but also different across stock markets. They are found to be more relevant risk characteristics in the Korean than in the Taiwan stock market.     

Risk assessment of oil price from static and dynamic modelling approaches

The price gap between West Texas Intermediate (WTI) and Brent crude oil markets has been completely changed in the past several years. The price of WTI was always a little larger than that of Brent for a long time. However, the price of WTI has been surpassed by that of Brent since 2011. The new market circumstances and volatility of oil price require a comprehensive re-estimation of risk. Therefore, this study aims to explore an integrated approach to assess the price risk in the two crude oil markets through the value at risk (VaR) model. The VaR is estimated by the extreme value theory (EVT) and GARCH model on the basis of generalized error distribution (GED). The results show that EVT is a powerful approach to capture the risk in the oil markets. On the contrary, the traditional variance–covariance (VC) and Monte Carlo (MC) approaches tend to overestimate risk when the confidence level is 95%, but underestimate risk at the confidence level of 99%. The VaR of WTI returns is larger than that of Brent returns at identical confidence levels. Moreover, the GED-GARCH model can estimate the downside dynamic VaR accurately for WTI and Brent oil returns.     

Bad volatility is not always bad: evidence from the commodity markets

ABSTRACT

Using exchange-traded fund (ETF) options data, we examine the predictive power of variance risk premium on returns of four commodities: crude oil, natural gas, gold and silver. We also analyze the predictive power of upside and downside variance risk premiums using a decomposition model conditional on the direction of the underlying market movement. We find that both the undecomposed and decomposed variance risk premiums are able to predict commodity prices. The decomposed variance risk premiums, however, outperform the undecomposed premium. The importance of upside and downside variance risk premiums differs across markets, related to hedging demand. In energy markets, both upside and downside premiums have strong predictive power, while in precious metal markets, only the upside premium is predictive.     

Does option provide more informative content than stock after regulation fair disclosure?

This article examines the impact of Regulation Fair Disclosure (Reg FD), which intends to eliminate selective disclosure to only a few privileged interested parties, on the information embedded in the stock-and-option markets prior to tender offer announcements. In the pre-announcement period after Reg FD, the volume of public option information contains less information about subsequent stock price movements. Although the quantity of public information may be higher after Reg FD, the inferior quality of publicly available option information dominates the higher quantity. Thus, the predictive power of option information decreases. In the post-RFD pre-announcement period, the volume of public option information is more informative than the volume of stock private information. It indicates that although the quality of private stock information is superior to that of public option information, the much lower quantity of stock information results in a lower predictive power of private stock information than that of public option information.     

How index investment impacts commodities: A story about the financialization of agricultural commodities

This paper focuses on the impact of financial investors on agricultural prices, a phenomenon known as the financialization. In this aim, we check whether financial mechanisms drive extreme values and the mean of agricultural returns in the same way. Relying on the Threshold AutoRegressive Quantile (TQAR) methodology, we find evidence of reinforcement linkages between equity and agricultural markets since 2004, corresponding to the rise in inflows of institutional investors in commodity markets. These results show that agents impact more deeply commodity markets when the commodity index value is high. In addition, in extreme quantiles (0.75 and 0.90) of agricultural returns, the relationship between agricultural and stock returns is always significant when the commodity index return is in the higher regime. This finding suggests that, stock markets had a greater impact on agricultural price dynamics during the extreme movements which occurred during the 2007–2008 financial crisis, highlighting a potential influence of financial markets on the financialization of commodities.     

Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence,information transmission and market co-movement

This paper examines the price and volatility dynamics between China and major stock markets in the Asia-Pacific, investigating the effects of the Chinese stock market crash (2015–2016) for the first time. Employing the Bayesian VAR and BEKK GARCH, we observe that price and volatility spillover behaviours are different during the stable and stress periods. Particularly, price spillovers from China to other regional markets are more significant during a bullish period, showing that ‘good news’ emanating from China has strong impacts on its neighbours during better market condition. In the turbulent period, we observe strong shock spillover effects and enhanced volatility spillovers from China to most Asia-Pacific stock markets. This is because China, as an important trading partner and strategic financial centre shows to exert significant influence on the Asia-Pacific region through various economic channels. We also find that the Asia-Pacific stock markets spill over their shocks to China during the crisis, indicating that China is becoming more integrated with the regional financial markets.     

财务报告信息质量、风险与权益资本成本--来自我国沪深股市的经验证据

本文以我国沪深股市2007—2013年上市公司为研究对象,检验了财务报告质量、公司信息风险与权益资本成本之间的关系。研究结果表明,财务报告质量并不是投资者需要定价的系统风险因素,而是一种非系统性风险。尽管财务报告质量反映了信息风险的不确定性,但这种公司特定的信息风险并没有被投资者定价,它并不会提高公司的权益资本成本。