Divergence of US and Local Returns in the After‐market for Equity Issuing ADRs

We study one‐year post‐listing prices and returns to equity issuing ADRs that listed in the US between January 1991 and October 2000. ADRs from countries that impose restrictions on capital flows are priced at a premium to their home market ordinaries. While the mean premium for the full sample is statistically indistinguishable from zero, after an adjustment for asynchronous trading, the magnitude of the premium to ADRs from restricted markets is 11.33% at the 300‐day post listing interval, which is statistically significant. In the short run (30 days) following listing, the magnitude of the premium is larger for ADRs with larger excess demand from US investors. At the longer 300‐day horizon, Nasdaq listed ADRs earn a larger premium than their NYSE/AMEX listed counterparts. Time‐series regressions and two‐stage cross‐sectional regressions establish that the premium to foreign equity issuers is greater if the US listing attracts liquidity and if US returns have a lower correlation with the local country index.     

Investor Trading Behavior and Sentiment in Futures Markets

This study investigates the effects of investor trading behavior and investor sentiment on futures market return. We find that the spot investor trading behavior, futures investor trading behavior, spot market sentiment, and futures market sentiment all have positive effects on daily futures returns in Chinese financial market. More importantly, we show that the effect of (spot) futures investor trading behavior has better explanatory power than (spot) futures market sentiment on futures returns. Further supporting our results, high investor trading behavior and high investor sentiment strengthen the positive relation between sentiment-returns and behavior-returns.     

Determinants of returns and volatility of Chinese ADRs at NYSE

This paper examines the determinants of returns and of volatility of the Chinese ADRs as listed at NYSE. Using an autoregressive conditional heteroskedasticity (ARCH) model and data from 16 April 1998 through 30 September 2004, we find that Hong Kong stock market (underlying market), US stock market (host market), and local (Shanghai A and B) markets all are important determinants of returns of the Chinese ADRs. However, the underlying Hong Kong market has the most significant impact on mean returns of the ADRs. In terms of the determinants of the conditional volatility of the ADRs returns, only shocks to the underlying markets are significant. These results are consistent with [Kim, M., Szakmary, A.C., Mathur, I., 2000. Price transmission dynamics between ADRs and their underlying foreign securities. Journal of Banking and Finance 24, 1359–1382] who find that the most influential factor in pricing the ADRs in Japan, UK, Sweden, The Netherlands and Australia is their underlying shares. Implications of the results for investors are discussed.     

Day and night returns of Chinese ADRs

Are the returns of Chinese American Depositary Receipts (ADR) more affected by the US market or their underlying home market? We separate Chinese ADR daily returns into day and night returns to investigate the different market effects on ADR pricing. We compare “homeless” ADRs to home-based or cross-listed ADRs to see if they are affected differently by market factors. We find the night returns of Chinese ADRs are significantly affected by their home market (either the Hong Kong market or mainland China market) daily returns and the US market night returns. The US day returns appear to be the most significant pricing factor for the day returns of Chinese ADRs. The homeless ADRs are more affected by the US market and less affected by their home market compared to the cross-listed ADRs.     

Contemporaneous ADR pricing: intraday dynamics during overlapping trading hours

We contribute to the literature by identifying and accurately measuring the drivers of American depositary receipt (ADR) returns contemporaneously across various global time zones. We consider ADRs as two inherently distinct asset classes – stocks and currencies – bundled into one. Throughout, we use a relatively refined, focused, and synchronized minute-by-minute data set on ADRs and all other variables. ADRs from all countries with regular trading hours that overlap with those of the US are considered individually and in clusters. We analyze the interplay of several factors that influence ADRs pricing patterns. Further, we investigate whether such patterns vary by currency, ADR, industry, and emerging/developed market classifications. Our findings indicate that synchronized returns on underlying shares comprise 68.5–74% of the explained returns in ADRs. The remaining 31.5–26% of returns are generated by movements in currency rates. These results are robust across the several models and estimation methods employed. Our findings also show persistent small price discrepancies between ADRs and dollar-adjusted underlying shares on a minute-by-minute basis, implying possible arbitrage opportunities. However, we conclude that trading and ADR conversion costs render such opportunities unattractive.     

US and Domestic Market Gains and Asian Investors’ Overconfident Trading Behavior

We find that subsequent to both US and domestic market gains, both Asian individual and institutional investors increase their trading and that this effect is more pronounced in bull markets, in periods of relatively favorable investor sentiment, in periods of extremely high market returns, and in markets with short‐sale constraints. We also find that individual investors trade more in response to market gains than institutional investors. Moreover, we find that further integration of Asian stock markets with US stock markets after the Asian financial crisis in 1998 is an important reason for Asian investors’ response to US market gains.     

Futures Market Sentiment and Institutional Investor Behavior in the Spot Market: The Emerging Market in Taiwan

This paper investigates whether and how futures market sentiment and stock market returns heterogeneously affect the trading activities of institutional investors in the spot market in Taiwan. Our empirical results suggest that foreign investors are net sellers whenever futures market sentiment is bullish and net buyers when investor sentiment is bearish. The two types of domestic institutional investors have poor sentiment timing abilities and the price-pressure effect may account for the behavioral differences among institutional investors. In addition, all three institutional investors are momentum traders. Nevertheless, the momentum trading of foreigners is consistent with an information-based model and that of two local institutional investors, as behavior-based models suggest. This indicates that the same trading momentum strategy can lead to different outcomes for different investors, and both information- and behavior-based momentum trading can exist contemporaneously in the Taiwanese stock market.     

Excess Volatility and UK Investment Trusts

Abstract:   The issue of whether or not asset prices are more volatile than the underlying fundamentals is an empirical question with implications for market efficiency. Recent research suggests that the volatility of closed end fund returns in the USA is significantly higher than the returns on assets held by the funds. This has been attributed to noise trading as closed‐end fund shares are predominantly held by individual investors. This study demonstrates that UK investment trust returns exhibit similar excess volatility in spite of the prevalence of institutional investors. However, big investment trusts in terms of market capitalisation show greater excess volatility than small trusts. Although most of the excess volatility appears to be idiosyncratic, investor sentiment index is the most important variable associated with residual returns.     

Investor sentiment and return predictability of disagreement

This study examines the influence of investor sentiment on the relationship between disagreement among investors and future stock market returns. We find that the relationship between disagreement and future stock market returns time-varies with the degree of investor sentiment. Higher disagreement among investors’ opinions predicts significantly lower future stock market returns during high-sentiment periods, but it has no significant effect on future stock market returns during low-sentiment periods. Our findings imply that investor sentiment is related to several causes of short-sale impediments suggested in the previous literature on investor sentiment, and that the stock return predictability of disagreement is driven by investor sentiment. We demonstrate that investor sentiment has a significant impact on the stock market return predictability of disagreement through in-sample and out-of-sample analyses. In addition, the profitability of our suggested trading strategy exploiting disagreement and investor sentiment level confirms the economic significance of incorporating investor sentiment into the relationship between disagreement among investors and future stock market returns.     

Social media and price discovery: The case of cross-listed firms

In this article, we examine whether social media information affects the price-discovery process for cross-listed companies. Using over 29 million overnight tweets mentioning cross-listed companies, we examine the role of social media for a link between the last periods of trading in the US markets and the first periods in the UK market. Our estimates suggest that the size and content of information flows on social networks support the price-discovery process. The interactions between lagged US stock features and overnight tweets significantly affect stock returns and volatility of cross-listed stocks when the UK market opens. These effects weaken and disappear 1 to 3 hr after the opening of the UK market. We also develop a profitable trading strategy based on overnight social media, and the profits remain economically significant after considering transaction costs.     

Return spread and liquidity: Evidence from Hong Kong ADRs

Fifteen Chinese H-shares listed on the Stock Exchange of Hong Kong are cross listed as ADRs on the NYSE. We empirically determine the role of security specific liquidity associated with those ADRs and their underlying H-shares on return spreads, differences between the returns on ADRs and their corresponding H-shares after controlling for ADRs and H-shares excess market returns and their respective price inverses denoting conditional betas. We use three proxies for liquidity, trading volume, turnover, and illiquidity (Amihud, 2002) and find that only trading volume and turnover are consistent determinants of return spread for the majority of Chinese ADRs with primary listing in Hong Kong Stock Exchange (SEHK). We use a switching regression model and find that the model parameter estimates are not stationary and change, often drastically between pre and post 2000 and 2003. Further tests using Bai Perron indicate return spreads data as non-stationary with multiple regime changes during the sample period. Further the causes of non-stationarity seem to be largely security specific and not driven by broad market swings in either market.     

Market states,expectations, sentiment and momentum: How naive are investors?

Following Cooper et al. (CGH) 2004 we test whether market states are relevant for predicting UK momentum profits. However, rather than simply categorising up/down markets based on actual prices as CGH, we suggest that investors may view expectations and/or sentiment as important. Contrary to the findings for the US, we find that momentum returns are not related to CGH-defined market states. Similar findings hold for an expectations-based split. In contrast, for the whole sample period, construction and retail sentiment indicators explain differences in momentum profits. However, robustness tests suggest that their explanatory power is driven by the post-subprime crisis period.     

Market Sentiment and Investor Overreaction: Evidence from New York Listed Asian Country Exchange Traded Funds

This article investigates Asian Country Exchange-Traded Fund (ETF) price deviation with underlying due to market sentiment. By implementing a dynamic contrarian trading strategy and a buy-and-hold strategy, this article finds that significant abnormal excess trading profit can be generated by capitalizing on the overnight price reversion. The excess return generated by the dynamic strategy over buy-and-hold separates the influence of market sentiment to ETF price deviation from fundamental movements. By studying the relations between variations of the excess returns and market sentiment, the article finds that the ETF price deviation is highly influenced by market sentiment and the effect exacerbates during financial crisis and distress.     

Contagion Effects from the 1994 Mexican Peso Crisis: Evidence from Chilean Stocks

The contagion, or informational spillover, effects of the 1994 peso crisis from the Mexican market to the Chilean market, and to the Chilean American Depository Receipts (ADRs) trading in the U.S., are examined. Significant excess returns are observed for Chilean stocks for the event dates of the Mexican Peso crisis, providing evidence of contagion effects. Significant excess returns on these Chilean ADRs are also observed for each of the five event dates associated with the Peso crisis, suggesting that the contagion effects spilled over to the ADRs. A multiple regression model shows that the spillover contagion effects were very efficiently transmitted from the Mexican market to the Chilean market to the Chilean ADRs. Multifactor regressions show that the most significant influence on the pricing of Chilean ADRs is the raw Chilean Index, rather than the Chilean Index expressed in U.S. dollars.     

A leader of the world commodity futures markets in the making? The case of China's commodity futures

We use the daily data of 16 commodity futures contracts traded in China and corresponding foreign markets (the US, the UK, Japan, and Malaysia) to analyze the linkages between markets. Several findings are noteworthy. First, trading returns of foreign markets, such as the US, have significant impact on China's overnight (close-to-open) returns and vice-versa. Second, daytime (open-to-close) returns of many Chinese commodity futures contracts are not led by foreign daytime returns. Finally, the close-to-close returns analysis suggests that there are no significant lead-lag relationships between the Chinese and foreign markets. These results suggest that (1) the Chinese commodity futures markets are information-efficient, and (2) they are likely to be driven by local market dynamics occurring during the daytime trading session.     

Technical analysis: Novel insights on contrarian trading

We analyze the predictive power of technical analysis with a novel data set based on news sentiment that allows to systematically examine a set of technical analysis indicators over an extensive time period. We do not find much statistically significant relationships with the examined indicators and future asset returns, and we almost do not find any alphas in trading strategies based on technical analysis sentiment. We find evidence for a contrarian-based hypothesis: past market returns and technical analysis sentiment are able to predict future technical analysis sentiment with a negative relationship.     

International equities listed on the New York stock exchange: does type of issue or date of issue matter?

The initial short-term (21-day) and long-term (3-year) excess returns for foreign initial public offering (IPO) and seasoned equity offering (SEO) American depository receipts (ADRs) listed on the New York stock exchange from 1990 to 2009 are tested to determine differences in performance based on type of issue and date of issue for the decades of the 1990s and the 2000s. The overall sample outperformed the S&P 500 Index by over 5?% after the first 3?years of trading; however, SEO ADRs outperformed IPO ADRs by nearly 19?% (relative to the market index). Breaking IPO and SEO ADR returns down by decade of issue shows that those listed in the 2000s for both samples drastically outperformed those listed in the 1990s in the long term. Both samples of ADRs listed in the 2000s also significantly outperformed the S&P 500 index in the first 36?months of trading. In the short-term results, for the first 21?days of trading, the SEO ADRs significantly outperformed the market by 2.1?%, while IPO ADRs outperformed by 0.97?% (though not significant).     

Trading behavior in S&P 500 index futures

This article examines the determinants of trading decisions and the performance of trader types, in the context of the E-Mini S&;P 500 futures and S&;P 500 futures markets. Speculators and small traders tend to follow positive feedback strategies while hedgers dynamically adjust positions in response to market returns. Such strategies apparently reverse during the 2008–09 financial crisis. Investor sentiment and market volatility play an important role in determining the net trading position of traders across the sample period. While all trader types are better at foreseeing market upturns, an out-of-sample test suggests that speculators and small traders have some predictive ability for short-term market returns.     

Price Discovery for Segmented US-Listed Chinese Stocks: Location or Market Quality?

Abstract:  This study extends the cross-listing literature by examining how, and to what extent, the trading of cross-listed China-backed ADRs on the New York Stock Exchange contributes to information flows and price discovery for the corresponding stocks traded in China's A-share market. We find that the cross-listed US prices and Chinese prices are not cointegrated in the long-run and the home market plays a far more important role in both price discovery and volatility spillover than does the US market. The home bias hypothesis still holds for the segmented Chinese A-share market and the location where price discovery actually originates is the essential factor in the process of international information transmission.     

融资融券视阈下的投资者情绪与A股收益率波动研究

本文以融资融券市场作为研究目标分析投资者的获利倾向、心理状态、行为决策等因素所反映出的投资者情绪特征对A股收益率波动的影响。采用CR I T I C赋权法,通过计算融资融券中融资余额、融券余额、融资融券交易占比以及融资买入量等多个数据指标构建融资融券投资者情绪指数CRISI。结合A股市场日交易数据,分析研究了融资融券市场中投资者情绪指数和股市收益率波动的相互作用。本文实证结果表明,融资融券投资者情绪指数对A股市场收益率存在正向作用,而A股市场收益率对投资者情绪的影响并不显著。此外,A股市场中股价的“异常涨跌”亦对投资者情绪影响不明显。实证结果反映出我国融资融券市场中投资者情绪与A股市场收益率之间存在一种单向的影响关系,为我国股票市场投资者情绪调查机制与监控系统的建立和完善提供了依据。