Where does return and volatility come from? The case of Asian ETFs

We analyze return and volatility of Asian iShares traded in the U.S. The difference in trading schedules between the U.S. and Asia offers a unique market setting that allows us to distinguish various return and volatility sources. We find Asian ETFs have higher overnight volatility than daytime volatility, explained by public information released during each local market's trading session. Local Asian markets also play an important role in determining each Asian ETF return. Nonetheless, returns for these funds are highly correlated with U.S. markets, indicative of the effects of investor sentiment and location of trade. Finally, returns in the U.S. market Granger-cause returns in all six Asian markets are analyzed.     

ADAPTIVE EXPECTATIONS AND STOCK MARKET CRASHES*

A theory is developed that explains how stocks can crash without fundamental news and why crashes are more common than frenzies. A crash occurs via the interaction of rational and naive investors. Naive traders believe that prices follow a random walk with serially correlated volatility. Their expectations of future volatility are formed adaptively. When the market crashes, naive traders sell stock in response to the apparent increase in volatility. Since rational traders are risk averse as well, a lower price is needed to clear the market: The crash is a self‐fulfilling prophecy. Frenzies cannot occur in this model.     

Dynamic hedging strategy in incomplete market: Evidence from Shanghai fuel oil futures market

This paper introduces a new incomplete index and establishes a new optimal hedging model. We find that when the market micro-noise is perfectly negatively correlated with the return of futures market, market incompleteness depends on the relative level of noise volatility. Especially when noise volatility is less than the futures market yield, noise volatility will be offset by return volatility. As a result, complete optimal hedging model emerges. As an aside, it is interesting to note that as different conditional variances derived from different volatility models being applied, the hedge performance tends to be basically consistent with subtle difference: DCC–GARCH model is more likely to execute the hedging with 1:1 ratio, while other multivariate GARCH models would give a hedging ratio with greater probability less than 1:1 and is less likely to be a perfect hedge. Therefore, we believe that a simpler econometric model might produce better empirical results.     

我国股票发行制度变迁及若干思考

股票发行是资本市场的核心环节之一。本文从制度变迁的角度考察了我国股票市场发展的特定背景,总结分析了股票发行制度从额度制到核准制的演变、相关制度的特点、利弊及其市场化改革的成效。研究发现,我国转轨经济环境、市场文化和市场流动性问题是进一步改革股票发行制度需要重点考虑的因素。     

The impact of convertible debt financing on investment timing

We develop a model to examine the timing of investment decisions in relation to the issuance of convertible debt by firms. Our model shows that when the demand shock has higher volatility, the firm finances the investment cost with high-coupon convertible debt. We find that default occurs earlier for firms that finance with convertible debt rather than with straight debt. We also find that firms with high-growth prospection, high volatility, and low capital costs that issue convertible debt tend to defer investments. Furthermore, we examine the investment decisions in which the convertible debt includes a call provision. We show that firms that use callable convertible debt invest earlier than those that use non-callable convertible debt by using suboptimal coupon payments. The opportunity from the forced conversion increases as the volatility increases. These results are consistent with recent empirical evidence.     

Time varying price discovery of the New Third Board market in China: does the market-making system help?

This paper examines whether the market-making system helps to improve the price discovery ability of New Third Board (NTB) market in China. We first estimate the time-varying coefficients error correction models, then apply common factor weight method to quantify the time-varying price discovery contributions, and finally explore the impacts of trading volume and volatility to price discovery contributions. Empirical results show that both markets have time-varying characteristic in terms of the magnitudes and directions of the equilibrium price adjustment due to error correction term. The Shanghai Composite Index, SZSE Component Index, and SME Index are found to lead in price discovery, while NTB exhibits the leadership on the GEM Index. Volume and volatility have significant influence on the price discovery contribution. The NTB contribution is positively related to its own trading activity, negatively related to the trading activity of Shanghai and Shenzhen stock markets, while negatively correlated with the volatility of both markets. In comparison, trading activity of SZSE Component Index and volatility of GEM Index have the greatest negative impacts on the contribution of NTB market. As an important part of China’s multi-level capital market, the pricing mechanism of the NTB market needs further to be improved.     

Dilution/incentive effects associating with employee bonuses in Taiwan: Empirical findings under two regimes

Taiwan's regulation used to treat employee bonuses as one of after-tax-earnings distributing items. In response to the anti-dumping charges launched by American manufacturers against Taiwanese SRAM firms, Taiwan Securities and Futures Commission issues a new directive on January 30, 2003 which requires the listed companies to disclose pro forma EPS after deducting employee bonuses and director/supervisor compensations, that is, implicitly recognizing employee bonus as an expense item in annual reports. This study examines the valuation implication of mandatory disclosure of employee bonus related information after the issuance of the new directive by examining whether stock price movements can reflect such institutional changes. The empirical findings are in conformity with the expectation: Before the issuance of Directive No. 457, the market tends to overestimate the incentive effect arising from the employee bonuses; after the issuance of Directive No. 457, the market reacts negatively once employee bonuses are recognized implicitly as operating expenses. This study implements several diagnostic checks and demonstrates that our empirical results are robust to various specifications.     

Investor attention and stock market activity: Evidence from France

The aim of this paper is to study the influence of investor attention on the French stock market activity and volatility. Following an original way, we construct a non-standard proxy of investor attention on the basis of investors' online search behavior exclusively provided by “Google insights for search”. We find that Google search volume is a reliable proxy of investor attention. Interestingly, we show that investor attention is strongly correlated to trading volume and is a significant determinant of the stock market illiquidity and volatility. Most importantly, this evidence is maintained even after controlling for the financial crisis effect.     

碳排放权交易市场的信息流动关系——基于EUA市场和CER市场的实证研究

基于Granger因果关系检验方法和MGARCH-BEKK模型,从报酬溢出和波动溢出的角度,研究国际碳排放权交易市场中的主要商品———EUAs和sCERs各自的期货价格与现货价格之间以及两者的期货价格之间的信息流动关系。结果表明:两个市场的现货市场始终都处于价格信息中心,期货市场的价格发现功能较弱甚至未体现;信息波动溢出方面,EUA市场中期货市场处于波动信息中心,而CER市场中现货市场处于波动信息中心;EUA的期货市场与CER的期货市场之间存在相互的价格溢出效应与波动溢出效应,但EUA市场的期货价格对CER市场具有更大的波动溢出效应。     

The volatility of prices in the English and Welsh electricity pool

The volatility of spot prices has been a notable feature of the English and Welsh Electricity Pool since its formation in 1990. This study investigates the possibility that the volatility of spot prices is strongly affected by the functioning of the contract market for electricity. This paper suggest that generators with market power may have an incentive to create volatility in the spot market in order to benefit from higher risk premia in the contract market. A simple theoretical model is used to illustrate this argument. Nonparametric techniques are used to test for changes in volatility after the expiry of the coal contracts in 1993 and during the price cap of 1994–1996. Strongly significant increases in volatility are found in the latter period.     

期货市场与现货市场之间的价格研究--中国农产品市场的经验

本文借助于信息共享模型与波动溢出效应模型对我国大豆和小麦的期、现货市场之间的价格发现进行了多层次的实证研究,定量描述了期、现货市场在价格发现中作用的大小,深入刻画了我国农产品期、现货市场之间的动态关系.研究结果显示:大豆期、现货价格之间存在双向引导关系,小麦仅存在期货对现货的单向引导关系;期、现货市场均扮演着重要的价格发现角色,且期货市场在价格发现中处于主导地位;期、现货市场之间均存在双向波动溢出关系,但现货市场来自期货市场的波动溢出效应均强于期货市场来自现货市场的波动溢出效应;并且,随着期货市场的发展,期、现货市场之间的波动溢出程度均呈逐渐增强态势.     

Debt markets and corporate debt structure in an emerging market: The South African example

This is a first attempt at gauging the effects of corporate public debt issuance on the debt structure, risk profile and valuation of firms in an emerging market. We find that financial services firms, along with government institutions, are important early supporters of an organized public debt market. Firms in this market use equity, public debt and private debt funds simultaneously as need be. Consistent with predictions of the corporate debt structure literature, public debt-issuing firms are larger, older, more profitable, and less informational opaque than non-public debt-issuing firms. Moreover, public debt-issuing firms experience significant reductions in both overall and systematic risks, and incur lower cost of capital following issuance than non-public debt issuers. These and other findings of the study suggest deepening national debt markets can be a fruitful financial market development exercise for emerging markets.     

DYNAMIC ASSET ALLOCATION AND CONSUMPTION CHOICE IN INCOMPLETE MARKETS*

We study the optimal investment and consumption problem of a CRRA investor when the drift and volatility of the stock are driven by a correlated factor. The myopic and non‐myopic components of the optimal portfolio process are characterised in terms of the market price of traded and non‐traded risk of the minimax martingale measure. We find that the optimal policies depend crucially on the nature of the agent, aggressive versus conservative, and the market incompleteness, improving versus deteriorating investment opportunities. Furthermore, we show that the original problem cannot be decomposed into a pure consumption and a pure terminal wealth problem, unless the market is complete.     

数字金融对行业资源配置效率的实证研究 ——基于一级行业周收益率数据

为考察数字金融对证券市场不同行业的影响,从而为市场风险识别、标的估值及投资策略制定等提供客观的参考指标。同时,也为数字金融政策制定、市场监管提供重要的参考依据。利用A股市场过去十年一级行业周收益率数据,构建证券市场行业收益率及波动率对数字金融指数等变量的面板自回归模型,实证结果表明：数字金融与证券市场整体收益率呈正相关。数字金融的增长可以抑制市场波动率的增长。数字金融对传媒,电子,房地产,家用电器,计算机,汽车,通信等行业均具有较好的经济显著性和统计显著性。在长期,行业间收益差异有收敛迹象。数字金融促进行业的收益均衡,说明数字金融对行业资本配置效率的提升有正向作用。     

Does international oil volatility have directional predictability for stock returns? Evidence from BRICS countries based on cross-quantilogram analysis

While numerous studies have investigated the relationship between oil volatility and stock returns, it is surprising that little research has examined the quantile dependence and directional predictability from oil volatility to stock returns in BRICS (Brazil, Russia, India, China, and South Africa) countries. We address this issue by using the cross-quantilogram model proposed by Han et al. (2016). The empirical results show that, overall, oil volatility has a directional predictability for the stock returns in BRICS countries. When the oil volatility is in a low quantile (lower than its 0.1 quantiles), it is less likely to show either a large loss or a large gain in the stock market. In contrast, there is an increased likelihood of either large loss or a large gain in the stock market when the oil volatility is in a high quantile (higher than its 0.9 quantiles). The directional predictability from the oil volatility to stock returns depends on the net position of oil imports and exports of these BRICS countries in the oil market. The net oil exporters (Russia and Brazil) are less likely to have large gains and large losses in the stock market than are the net oil importers (India, China, and South Africa) when the oil volatility is in a low quantile. The net oil exporters are more likely to have large gains and large losses than are the net oil importers when the oil volatility is in a high quantile. The results are robust to change in the variable of oil volatility and the sample interval.     

增发、配股与可转换债券孰"优"孰"劣"

近年来,配股、增发与可转换债券主导了我国再融资市场.本文以2002年1月至2004年12月实施配股、增发,以及发行可转换公司债券的上市公司为研究对象,对再融资前后公司业绩进行了实证分析,以考察这三种再融资方式的"优"与"劣".研究表明,三种再融资方式的绩效存在显著差异.其中可转换债券绩效最好,其次是配股,而增发的绩效最差.并就此提出了相应的政策建议.     

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.     

Volatility transmission to the fine wine market

The goal of this paper is to explore volatility transmission from various markets to the fine wine market. Knowledge of these channels for transmitting volatility to the wine market allows practitioners to anticipate the future volatility and the consequences of a shock on the wine market, to develop their investment strategy and diversify their risk. We especially analyse the impact of U.S. markets (i.e. art, commodities, credit, financial and real estate) during the 2007–2017 period. We shed additional light on how the volatility of the fine wine market varies during an extended period including a financial crisis. Our results indicate that, in the short-term, volatility is transmitted with a negative effect through the financial and commodity markets and with a positive effect through the art, residential real estate, and credit default markets. In the long-term, the wine market is impacted by all other markets. We show that correlations are time-varying.     

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.     

基金投资行为与股票市场稳定性研究——基于VAR模型和MGARCH模型的实证分析

笔者基于VAR模型和MGARCH模型,利用总量数据,对基金投资活动与我国股票市场波动性及其溢出效应进行实证研究。研究结果发现:基金的投资活动与股票市场波动之间存在双向影响机制,基金投资活动已开始对股票市场的波动形成影响,但基金没能起到稳定市场的作用;从波动溢出效应看,基金投资活动与股票市场波动存在双向的波动溢出效应,但溢出效应较小。