The comovement between exchange rates and stock prices in the Asian emerging markets

This study investigates the comovement between exchange rates and stock prices in the Asian emerging markets. The sample covers major institutional changes, such as market liberalization and financial crises, so as to examine how the short-term and long-term relations change after such events. The autoregressive distributed lag (ARDL) model proposed by Pesaran et al. (2001) is adopted, which allows us to deal with structural breaks easily, and to handle data that have integrals of different orders. Interest rates and foreign reserves are also included in the analysis to reduce potential omitted variable bias. My empirical results suggest that the comovement between exchange rates and stock prices becomes stronger during crisis periods, consistent with contagion or spillover between asset prices, when compared with tranquil periods. Furthermore, most of the spillovers during crisis periods can be attributed to the channel running from stock price shocks to the exchange rate, suggesting that governments should stimulate economic growth and stock markets to attract capital inflow, thereby preventing a currency crisis. However, the industry causality analysis shows the comovement is not stronger for export-oriented industries for all periods, such as industrials and technology industries, thus implying that comovement between exchange rates and stock prices in the Asian emerging markets is generally driven by capital account balance rather than that of trade.     

Comovement among returns of the private Chilean pension system

Abstract

The measurement of comovement among economic variables is key in several areas of economics and finance. This article examines the comovement among Pension Fund Administrators (AFPs) in the Chilean private pension system from 2005 to 2016. We use several statistical methods to assess the comovement among the returns during this period. We found evidence of strong comovement among the returns of all AFPs; the higher the percentage of risk rate of the investment instrument, the higher the comovement was. The introduction of a new AFP in 2010 did not change the comovement patterns. The comovement analysis study shows that the quality attributes of the products offered by the AFPs are homogeneous, supporting the idea that concentrated markets with homogeneous products could incentivize tacit collusive behavior, which could distort the functioning of the pension market, thereby affecting the aggregate well-being of workers.     

Herding on lottery-type stocks: evidence from the Chinese stock market

Previous studies have provided evidence that investors have gambling propensity in the stock market and exhibit a preference for lottery-type stocks. In this study, we use high total skewness and high maximum daily return (MAX) to measure lottery-type stocks and examine whether investors do exhibit distinct herding pattern in these stock types. Empirical results show that investors display stronger herding among lottery-type stocks, thereby indicating that such stocks induce correlated behaviour with the investors. In addition, we find that stocks with the highest skewness exhibit stronger herding under upmarkets, whereas stocks with the lowest skewness display stronger herding under downmarkets. Regarding the highest MAX portfolio, no significant herding asymmetry is seen between upmarket and downmarket. The results reported in this article demonstrate that comovement in stock returns may be partly attributed to the nonstandard preferences of investors in the stock market.     

Short sale constraints,disperse pessimistic beliefs and market efficiency — Evidence from the Chinese stock market

In the Chinese stock market, the regulatory agency lists qualified stocks on announcement date and permits investors to sell short on the effective date, a practice that allows us to directly study the impact of short sale constraints. Applying an event study to 511 additions, between February 2010 and August 2013, of individual stocks to the list of securities qualified for short sale, we find that short sale constraints cause individual stocks to be overpriced and that such overvaluation is exclusively related to distortions associated with pessimistic beliefs. In addition, we observe lower volatility, skewness and extreme value frequency of stock returns after short sale constraints are lifted. This implies the emergence of a more appropriate distribution of returns and improved market efficiency at the individual stock level as the range of securities qualified for short selling expands.     

T+1 trading mechanism causes negative overnight return

The T+1 trading mechanism is unique in the Chinese stock market, thus providing a natural experimental field to study the trading mechanism and price behaviors. This paper proposes and proves that T+1 trading mechanism causes negative overnight return, the overnight return can serve as a proxy of the T+1 trading mechanism. The paper finds that the overnight return of the Chinese stock market is significantly negative, whereas those under the T+0 trading mechanism, such as China’s stock index futures, Hong Kong stocks, and major international indices, all have around 0 or positive overnight returns. T+1 trading mechanism has greater impacts on stocks with more divergent investor opinions, higher risk, more individual investor percentages, higher arbitrage restrictions, and less liquidity. The T+1 trading mechanism distorts the price generation mechanism of stocks. The paper contributes to the understanding of impact of trading mechanism on stock prices.     

Liquidity and equity returns in Borsa Istanbul

We investigate the relationship between expected returns and liquidity measures in Borsa Istanbul. To do so, we gather a wide range of illiquidity measures that can be applied to the market. Firm-level cross-sectional regressions indicate that there is a positive relationship between various illiquidity measures and one- to six-month ahead stock returns. Findings of the article are robust after using different sample periods and controlling for well-known priced factors, such as market beta, size, book-to-market ratio and momentum. The portfolio analysis reveals that stocks that are in the highest illiquidity quintile earn 7.2%–19.2% higher risk-adjusted annual returns than those in the lowest illiquidity quintile. The illiquidity premium is stronger for small stocks and stocks with higher return volatility and it increases (decreases) during periods of extremely low (high) market returns.     

How are Africa's emerging stock markets related to advanced markets? Evidence from copulas

The finance literature provides ample evidence that diversification benefits hinges on dependence between assets returns. A notable feature of the recent financial crisis is the extent to which assets that had hitherto moved mostly independently suddenly moved together resulting in joint losses in most advanced markets. This provides grounds to uncover the relative potential of African markets to provide diversification benefits by means of their correlation with advanced markets. Therefore, we examine the dependence structure between advanced and emerging African stock markets using copulas. Several findings are documented. First, dependence is time-varying and weak for most African markets, except South Africa. Second, we find evidence of asymmetric dependence, suggesting that stock return comovement varies in bearish and bullish markets. Third, extreme downward stock price movements in the advanced markets do not have significant spillover effects on Africa’s emerging stock markets. Our results, implying that African markets, with the exception of South Africa, are immune to risk spillover from advanced markets, improves the extant literature and have implications for portfolio diversification and risk management.     

Are Oil Price News Headlines Statistically and Economically Significant for Investors?

While much has been written about the effects of oil price on stock returns, surprisingly nothing is known about the effect of oil price news on stock returns. This article is a response to this research gap. For a large number of stocks on the New York Stock Exchange, the authors find that while oil price news does predict market returns it only predicts returns of some sectors and not all. They find that sorting stocks based on oil price news generates a significant return differential in the cross-section, which holds consistently across a range of models allowing for the well-known risk factors. Their findings suggest that information contained in oil price news affects stock returns.     

How time horizons and arbitrage cost influence the turnover premium?

There are multiple theories for the causal relation between stock turnover and expected return. The risk theory argues that stocks with high turnover generally have high information uncertainty, and thus high subsequent returns are required to compensate for the increased risk. By contrast, the theory of heterogeneous beliefs considers that high-turnover stocks have high speculative values and tend to be overpriced. We find that the information contained in stock turnover is multidimensional and controlling time horizons and arbitrage cost contributes to the reconciliation of the theories of risk compensation and heterogeneous beliefs. Our result shows that expected return is positively correlated with short-term turnover, and negatively correlated with long-term one. The premium on short-term turnover is consistent with the explanations based on transaction cost and liquidity risk. The premium on long-term turnover is much more pronounced among stocks with high arbitrage cost and can be largely explained by the mispricing theory and heterogeneous beliefs.     

中国股市价值反转投资策略有效性实证研究

本文以中国深沪A股股票市场为考察对象 ,分析了价值反转投资策略的有效性。作者通过实证分析发现 :在中国深沪A股股票市场上 ,以帐面价值与市场价值比 (B M)、B M GS等指标构造的价值反转投资策略可以产生显著的超额收益率 ,并且其显著程度因持有期不同而不同。接着 ,作者利用CAPM模型、Fama French三因素模型并引入了协偏度 (coskewness)和协峰度 (cokurtosis) ,构造出多风险因子模型来解释价值反转投资策略超额收益率。我们发现 :在经过传统风险因素调整后 ,价值反转投资策略效果依然明显 ;CAPM模型无法解释价值反转投资策略超额收益率 ;Fama French三因素模型对价值反转投资策略超额收益率的解释能力最为显著 ,但对于有些价值投资策略 ,在Fama French三因素基础上加上协偏度和协峰度因子后 ,模型的解释能力有所提高     

An empirical investigation of herding in the U.S. stock market

This paper proposes a new empirical testing method for detecting herding in stock markets. The traditional regression approach is extended to a vector autoregressive framework, in which the predictive power of squared index returns for the cross-sectional dispersion of equity returns is tested using a Granger causality test. Macroeconomic news announcements and the aggregate number of firm-level news items are treated as conditioning variables, while the average sentiment of firm-level news is treated as jointly determined. The testing algorithm allows the change points in the causal relationships between the cross-sectional dispersion of returns and squared index returns to be determined endogenously rather than being chosen arbitrarily a priori. Evidence of herding is detected in the constituent stocks of the Dow Jones Industrial Average at the onset of the subprime mortgage crisis, during the European debt and the U.S. debt-ceiling crises and the Chinese stock market crash of 2015. These results contrast with those obtained from the traditional methods where little evidence of herding is found in the US stock market.     

The momentum effect on Chinese real estate stocks: Evidence from firm performance levels

This paper investigates the momentum effects under different firm performance levels for Chinese real estate stocks using quantile regression with a dummy variable estimator. This paper finds that regardless of the momentum horizon, the momentum effects are positive under high-performing individual stocks, but they are negative under low-performing individual stocks. While prior literature only finds that this asymmetric phenomenon appears under different market states, and the findings on different horizons are inconsistent. Furthermore, this paper finds that the positive (negative) momentum effect under high (low) firm performance levels is stronger than that under bullish (bearish) markets. This implies that superior (inferior) fundamental business performance and bullish (bearish) markets can cause the stock prices to go up (down); however, the effect of the former is stronger than that of the latter. Moreover, this paper finds that the relation between future returns and past turnover ratios is positively correlated under high-performing stocks, but negatively correlated under low-performing stocks. Based on the above findings, this paper regards past turnover ratios as a leading indicator of stock returns and suggests two profitable investment portfolios which are superior to the average returns of real estate stocks.     

The relation between asset growth and the cross-section of stock returns: Evidence from the Chinese stock market

This study examines the effect of firm investment on stock returns by using data on the Chinese stock market. We find that stocks with higher investment experience lower future returns and there is an obvious investment effect in the Chinese stock market. The investment effect is stronger for firms that have higher cash flows, lower debt or for state-owned firms. We further explore the relation between investment and returns over the 3 years around portfolio formation. The results show that the high investment firms earn higher returns than low investment firms before portfolio formation; however the high investment firms earn lower returns than low investment firms after portfolio formation, such evidence is supportive of investor's overreaction explanation. Additionally, the stock returns don't necessarily decrease after investment, and the stock returns don't significantly positively correlate with firm profitability or book-to-market, so the result don't support risk-based explanation. Overall, both our portfolio sort and two-stage cross-sectional regression analysis show that behavioral finance theories are better than risk-based theories in explaining the investment anomaly. Evidence from the Chinese stock market provides a useful perspective to understand the debate on the investment anomaly.     

中国股市长期记忆效应的实证研究

股票市场长期记忆效应问题一直是金融经济学家们倍感兴趣的一个研究热点。本文针对中国股票市场中价格指数与个股的日收益序列 ,在已有研究文献主要采用的经典R S分析方法基础上 ,引入修正R S分析与ARFIMA模型进行了实证研究。从研究结果来看 ,2 2个样本序列并不满足传统的正态分布假设 ,序列呈现出尖峰、肥尾、右偏等有偏特征以及独特的自相关与偏自相关结构 ,这些迹象预示着非线性动态系统的存在。而进一步的研究却表明 ,中国股市中代表市场总体的股价指数不存在长期记忆效应 ,而个股收益序列的分布特征存在着较大差异 ,仅少数个股存在长期记忆行为。这一结论明显地有别于以往那些由经典R S分析所得到的研究结果。     

Market Moods and Network Dynamics of Stock Returns: The Bipolar Behavior

The authors show that a simple mood-separable preference in a network study of stock returns captures a variety of stylized facts regarding stocks’ provisional (ab)normal behavior. These behaviors are articulated in a multistate complete Euclidean network model that specifies the existence, direction, and magnitude of a self-organized dynamics for each individual stock during abnormal market moods. In the empirical setting, the authors apply suggested model along with 2 established visual approaches (multidimensional scaling and agglomerative hierarchical clustering) for benchmark purposes. Results reveal different levels of erratic return dynamics for each stock and the entire market in different abnormal market moods. The authors model and interpret these self-organized dynamics as evidence of stocks’ and market’s bipolar behavior.     

Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach

We use regular vine (r-vine), canonical vine (c-vine) and drawable vine (d-vine) copulas to examine the dependence risk characteristics of three 20-stock portfolios from the retail, manufacturing and gold-mining equity sectors of the Australian market in periods before, during and after the 2008–2009 global financial crisis (GFC). Our results indicate that the retail portfolio is less risky than the manufacturing counterpart in the crisis period, while the gold-mining portfolio is less risky than both the retail and manufacturing sector portfolios. Both the retail and gold stocks display a higher propensity to yield positively skewed returns in the crisis periods, contrary to the manufacturing stocks. The r-vine is found to best capture the multivariate dependence structure of the stocks in the retail and gold-mining portfolios, while the d-vine does it for the manufacturing stock portfolio. These findings could be used to develop dependence risk- and investment risk-adjusted strategies for investment, rebalancing and hedging which more adequately account for the downside risk in various market conditions.     

Beware of the crash risk: Tail beta and the cross-section of stock returns in China

We investigate the pricing of systematic tail risk measured by tail beta in the Chinese equity market. Using an array of tests, we examine the performance of more than 3,300 stocks for the years 1999 through 2018. Contrary to evidence from developed markets, we demonstrate a strong negative relationship between the tail beta and future returns. The effect is robust to many considerations and cannot be explained by established pricing factors or alternative risk or illiquidity measures. We link our findings to specific characteristics of the Chinese stock market.     

影响我国股票市场价格变动因素的实证分析

通过选取沪、深两市10只不同行业、不同地区板块的股票,利用SPSS统计软件,采用主成分分析和因子分析的方法,分析了影响我国股票价格变动的因素,结果表明我国股市结构由一般市场环境、行业活动、公司绩效和各公司特殊活动几部分构成。     

The impact of interest rate and exchange rate volatility on banks' stock returns and volatility: Evidence from Turkey

This paper investigates the effects of interest rate and foreign exchange rate changes on Turkish banks' stock returns using the OLS and GARCH estimation models. The results suggest that interest rate and exchange rate changes have a negative and significant impact on the conditional bank stock return. Also, bank stock return sensitivities are found to be stronger for market return than interest rates and exchange rates, implying that market return plays an important role in determining the dynamics of conditional return of bank stocks. The results further indicate that interest rate and exchange rate volatility are the major determinants of the conditional bank stock return volatility.     

金融危机背景下银行类股票β值及其稳定性的实证检验

在金融研究中,风险和收益、个股与整个股市的波动一直是人们最为关注的问题。特别是在2007年8月美国次贷危机迅速蔓延后,各个公司更加重视股市波动的研究,以求最大限度地规避风险、获得最大收益。在金融研究中,人们通常用期望值表示收益,用方差和标准差来衡量风险。而在两者的关系研究中,资本资产定价模型反映了均衡状态下单个证券的预期回报与其相对市场风险值之间的关系,也描述了证券的风险溢价与市场组合风险溢价之间的关系。选择金融危机迅速传播后的2007年8月到2011年10月21日为研究时间段,选择上海证券交易所A股市场的浦发银行（600000）等14只银行类股票为研究对象,确定它们的值,研究银行类股票与整个股市波动的相关性,说明它们的风险溢价与市场组合风险溢价之间的变动关系。考虑到在所选时间段中,2010年3月开展的融资融券业务可能会对股票值的稳定性有所影响,因此,在求出这些股票的值后,还对这些股票值的稳定性进行了Chow检验。