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.     

Financial leverage and market volatility with diverse beliefs

We study a general equilibrium model of asset trading with financial leverage, where the investors can engage in speculative trading with diverse beliefs about the asset??s fundamental value. We show that an increase in the leverage ratio causes the stock price to rise in the current period through a ??leverage effect??, and will result in more borrowing and more stock purchase that pumps the stock price higher in the subsequent period, known as the ??pyramiding effect??. There can also be a ??depyramiding effect?? when the price falls because lenders issue margin calls and force stock sales, contributing to further stock price plummeting. Price changes from depyramiding effect, however, may not take effect when margin calls are not triggered. We demonstrate that, under certain conditions, decreasing leverage ratios leads to lower stock price volatility, measured by the variation of prices caused by an exogenous shock, when the shock is unanticipated. The influences of dispersion of beliefs and available investment funds on the relation between financial leverage and market volatility are also examined. When the shock is anticipated, we demonstrate that reducing leverage ratios may not lower stock price volatility, which poses an important challenge to future studies on this issue.     

Foreign News and Spillovers in Emerging European Stock Markets

We analyze foreign news and spillovers in the emerging EU stock markets (the Czech Republic, Hungary, and Poland). We employ high‐frequency five‐minute intraday data on stock market index returns and four classes of EU and US macroeconomic announcements during 2004–07. We account for the difference of each announcement from its market expectation and we jointly model the volatility of the returns accounting for intraday movements and day‐of‐the‐week effects. Our findings show that intraday interactions on the new EU markets are strongly determined by mature stock markets as well as the macroeconomic news originating thereby. We show that strong contemporaneous links across markets are present even after controlling for macroeconomic announcements. Finally, in terms of specific announcements, we are able to show the exact sources of macro news spillovers from the developed foreign markets to the three new EU markets under research.     

An empirical analysis of the US stock market and output growth volatility spillover effects on three Anglo-Saxon countries

This paper examines the dynamic and switching effects of volatility spillovers arising from US stock market returns and GDP growth on those of Australia, Canada and the UK. For this purpose, we use quarterly data (1961q1–2013q1) and a constant probability Markov regime switching model. We found that the US stock market volatility significantly affects the stock market volatility of all three countries at least in one of the two specified regimes over time. However, the stock market volatilities in none of the three countries are contemporaneously influenced by the US output volatility even after allowing for two distinct regimes. On the other hand, the US stock market volatility exerts significant influences on the output volatilities of both Australia and the UK. Compared with Australia and the UK, Canada and the US show substantial output volatility co-movements, thereby confirming the close association between the two neighbouring economies through the NAFTA (North American Free Trade Agreement). We conclude that shocks emanating from the US stock market have unequivocal flow-on effects on the output and return volatilities of the other economies.     

Security design,market risk and round quotes in the treasury bond market

Prior literature finds that the tendency of price-endings to cluster on rounder fractions increases with price volatility. We estimate the separate influences and relative importance of the determinants of price volatility, security design and market risks. Our data is from a market setting that is ideal for isolating and studying the relations of interest. Results for both quote and trade prices indicate that the tendency to use round price-endings increases with both a security’s inherent risk, attributable to security design, and variation over time in market risks. Security design influences clustering more than market risks, but market risks are influential in determining clustering once security design is fixed. The estimated effects are strongest in the on-the-run market segment where liquidity facilitates the aggregation of information into price.     

OTC trades and liquidity in the European carbon market more than meets the eye

ABSTRACT

This study investigates whether the previously reported price impact of OTC trades in the EU ETS can be attributed to their distinctively larger size (liquidity related) or to their discretionary feature (information related). The findings suggest that OTC trades induce volatility shocks that are higher in magnitude and faster resolved than those of solely high trading-intensity trades, which appears to be driven mainly by their presence, rather than by their size. An analysis of intraday price premia reveals that they are strategically placed by interacting with the organized market whenever their price and volatility impact is lower.     

Economic policy uncertainty and the Chinese stock market volatility: Novel evidence

In this study, we investigate the impact of global economic policy uncertainty (GEPU) on Chinese stock market volatility. More importantly, for the first time, we explore the effects of directional GEPU based on the changing directions of GEPU and Chinese economic policy uncertainty (EPU). We make several noteworthy findings. First, the in-sample estimated results show that up and down GEPU can lead to substantially high stock market volatility for China. Second, the out-of-sample estimated results support the contention that the GEPU index is helpful for predicting volatility. Moreover, compared to GEPU alone, directional GEPU can provide more useful information that can increase the forecast accuracy. Third, we empirically find that directional GEPU is more effective in predicting Chinese stock market volatility when GEPU and EPU rise in the same month.     

EU Emission Allowances and the stock market: Evidence from the electricity industry

This paper constitutes - to our best knowledge - the first econometric analysis on stock market effects of the EU Emission Trading Scheme (EU ETS). Our results suggest that EU Emission Allowance (EUA) price developments matter to the stock performance of electricity firms: EUA price changes and stock returns of the most important European electricity corporations are shown to be positively related. This effect does not work asymmetrically, so that stock markets do not seem to react differently to EUA appreciations in comparison to depreciations. The carbon market effect is shown to be both time- and country-specific: It is particularly strong for the period of EUA market shock in early 2006, and differs with respect to the countries where the electricity corporations analysed are headquartered. Stock market reactions to EUA volatility could not be shown.     

The influence of cultural distance on the volatility of the international stock market

Along with the development of cultural dimensions and cultural distance, the influence of cultural variables on the stock market is attracting more and more attention. In this study, we propose an improved gravity model to examine the relationship between culture and the volatility of the international stock market. Firstly, based on Hofstede's cultural dimensions theory, a model of the impact of cultural dimensions on the volatility of the national stock market is presented. Secondly, cultural distance is incorporated into the extended gravity model. Then, models of the impact of cultural distance on fluctuations in the international stock market and on foreign securities investment are proposed. Finally, the results of case studies using samples of national stock market indices indicate that different cultural dimensions have different influences on the volatility of national stock markets. The smaller the cultural distance between countries, the more similar the level of volatility in those countries' stock markets. Greater cultural similarity promotes increased securities investment between countries.     

Seasonality in foreign exchange volatility

The paper reports further empirical evidence on seasonality in foreign exchange volatility using high-frequency data. Using a basis of the signal plus noise framework, the approach decomposes tick-by-tick Reuters FXFX quotes into a random walk and a stationary component, termed the efficient price and the pricing error, respectively. The efficient price is not directly observable and is an approximation of the ‘true’ value. The pricing error captures the deviation between the observed indicative quote and the efficient price. Under the proposed model, daily and intraday volatilities of the efficient price are estimated. A pronounced pattern of volatility is uncovered and appears related to the daily activity cycle of major organized stock exchanges. It is argued that seasonality in volatility is a symptom of foreign exchange markets. Results confirm Andersen and Bollerslev's findings that significant seasonal effects are one important determinant of overall volatility at high frequencies.     

Forecasting stock market volatility: The role of technical variables

Accurate volatility forecasts are required by both market participants and policy makers. In this paper, we forecast stock return volatility by using a wide range of technical indicators constructed based on the past behavior of stock price, volatility and trading volume. Our out-of-sample results indicate that the incorporation of technical variables in the autoregression benchmark can produce significantly more accurate volatility forecasts. The forecasting performance of the combination of technical indicators is further compared with that of the popular economic indicators. Technical variables perform better than economic variables when the economy is an expansion, while the economic variables generate more accurate forecasts when the economy belongs a recession. These two types of variables provide complementary information over the business cycle. We obtain more reliable forecasts by combining all economic and technical information together than by combining either type of information alone.     

Momentum or market? Determinants of large stock price changes in an emerging market

The aim of this study is to investigate the determinants of large price changes in Turkey. We also provide additional evidence on determinants of large price changes in different macroeconomic environments, specifically on the pre-crisis and post-crisis periods. Using recurrent event analysis with stratified observations and frailty effects, our findings suggest that momentum has a significant impact on large price changes during both pre-crisis and post-crisis periods. However, the impact of market is more significant on the estimation of large price declines in the pre-crisis period and of large price increases in the post-crisis period. Additional findings suggest that liquidity and market-to-book ratio have positive, firm size has a negative impact on likelihood of large price changes regardless of the direction of the stock price change and macroeconomic environment. Findings of this study provide new insights into the understanding of large price changes in an emerging market.     

Responses of international stock markets to oil price surges: a regime-switching perspective

We propose an enhanced regime-switching model to investigate the relationships between oil price surges and stock market cycles in five oil-dependent countries. Our model accounts for the joint effects of the West Texas Intermediate (WTI) and Brent oil markets and simultaneously captures asymmetry, volatility persistence and regime shifts contained in the underlying financial data. We find that stock market returns strongly exhibit a regime-switching behaviour, but they react differently to the increases in the price of oil. More precisely, the conditional volatility of studied stock markets during the bear market phases is found to be less affected by oil price surges than during the bull market phases. Whether the effects of oil shocks are positive or negative depends greatly on the degree of reliance on imported oil, the share of the cost of oil in the national income and the degree of improvement in energy efficiency of a given country. Finally, the relatively opposite effects of the WTI and Brent oil markets suggest the potential of substitution between them as well as the necessity of a diversification strategy of oil supply sources.     

High-low range in GARCH models of stock return volatility

We suggest a simple and general way to improve the GARCH volatility models using the intraday range between the highest and the lowest price to proxy volatility. We illustrate the method by modifying a GARCH(1,1) model to a range-GARCH(1,1) model. Our empirical analysis conducted on stocks, stock indices and simulated data shows that the range-GARCH(1,1) model performs significantly better than the standard GARCH(1,1) model both in terms of in-sample fit and out-of-sample forecasting ability.     

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     

Deregulation,news releases,and price discovery

We hypothesize that the firm’s regulatory environment influences the sensitivity of its equity value to information. Using intraday stock price data of utilities operating in differing regulatory environments we test for systematic differences between the responsiveness of stock prices of utility firms operating in deregulated and regulated environments to a common information set. Our findings reveal sharp differences in responses, with those of utilities operating in deregulated environments the strongest, and the responses of utilities in highly regulated environments the weakest. While the evidence supports our hypothesis, in a broader sense, the evidence suggests that deregulation aids in the process of price discovery. We also find evidence that suggests that deregulation, per se, does not lead to higher stock price volatility.      

Stock Market Reaction to Regulatory Price Reviews in the English and Welsh Water Industry

In this paper we analyze the effects of regulatory activity—specifically periodic price reviews in the English and Welsh water industry—using information on share price volatility. In controlling for different volatility components we identify and discuss general market, industry and firm idiosyncratic effects. We conclude that stock market investors were favorably disposed towards the outcome of the first, and the early stages of the process leading to the second, periodic review of prices in the industry.     

Financial contagion and volatility spillover: An exploration into Indian commodity derivative market

This study measures the extent of financial contagion in the Indian asset markets. In specific it shows the contagion in Indian commodity derivative market vis-à-vis bond, foreign exchange, gold, and stock markets. Subsequently, directional volatility spillover among these asset markets, have been examined. Applying DCC-MGARCH method on daily return of commodity future price index and other asset markets for the period 2006–16, time varying correlation between commodity and other assets are estimated. The degree of financial contagion in commodity derivative market is found to be the largest with stock market and least with the gold market. A generalized VAR based volatility spillover estimation shows that commodity and stock markets are net transmitters of volatility while bond, foreign exchange and gold markets are the net receivers of volatility. Volatility is transmitted to commodity market only from the stock market. Such volatility spillover is found to have time varying nature, showing higher volatility spillover during the Global Financial Crisis and during the period of large rupee depreciation in 2013–14. These results have significant implication for optimal portfolio choice.     

我国股市涨跌幅限制日内效应的实证研究

本文利用我国沪市ST股和普通股的5分钟高频数据对我国股市涨跌幅限制的效应进行分析。结果表明,虽然普通股和ST股在接近涨跌幅限制时均存在趋势反转现象,但普通股10％的涨跌幅限制存在一定的磁吸效应,而ST股5％的涨跌幅限制不存在磁吸效应。这与国外其他研究以及国内基于其他方法得出的研究结论存在差异。本文的分析还说明,国内所谓涨跌幅限制的冷却效应只是股价正常的均值回复,与涨跌幅限制制度无关。     

Price clustering and natural resistance points in the Dutch stock market: A natural experiment

This paper focuses on the tendency of stock prices to cluster at round numbers (like 10, 20, 30, etc. and to a lesser extent 5, 15, 25, etc.) and the related effect of round number price barriers (prices pass round numbers less frequently than other numbers). Two competing hypotheses are tested, using data from the Dutch stock market of the period 1990–2001. After 1 January 1999 stock prices were listed in euros, while guilders were still the currency of daily life until 2002. The aspiration level hypothesis predicts that round number effects in guilders will only slowly disappear. The odd price hypothesis predicts an abrupt change in round number effects after 1 January 1999. Generally, the results are consistent with the odd price hypothesis.