Exploring the relationship between investor sentiment and price volatility

By performing Grey relation analysis, this study elucidates the relationship between investor sentiment and price volatility in the Taiwanese stock market. A sequential relationship is identified between investor sentiment and price volatility, and ranked according to order of importance. Analytical results show that short sales volumes may be an individual leading indicator useful in observing the effects of sentiment on price volatility, followed by open interest put/call ratios and trading volumes, and buy/sell orders. Institutional investors are related, to a lesser extent, to price volatility and sentiment. Qualified foreign institutional investors, or more rational investors, are the least influenced by price volatility, followed by securities investment trust companies and dealers. TAIEX options exert the strongest influence on sentiment during the study period, making them a valuable reference for gauging price volatility.     

Price Clustering Asymmetries in Limit Order Flows

We explore the relation between limit order price clustering and price efficiency. We find that executed sell limit orders cluster more frequently on round increments than buy limit orders and that this asymmetry in clustering is consistent with the well‐documented asymmetry in price response to marketable orders. In addition, we find that the degree of clustering is positively related to volatility and that asymmetry in clustering depends on whether stock prices are rising or falling—sell limit orders cluster more frequently as prices are rising, although buy limit orders cluster more as prices are declining. Our results indicate that predictable patterns in limit order pricing contribute to short‐run deviations from price efficiency.     

Interaction of investor trades and market volatility: Evidence from the Tokyo Stock Exchange

This paper examines the relation between market volatility and investor trades by identifying who supplies and demands market liquidity on the Tokyo Stock Exchange. Because the different trading patterns of various investor types such as individual investors, institutional investors, and foreign investors affect market liquidity differently, we find that market volatility fluctuates significantly depending on which investor types participate in trade. We show that market volatility increases by more than 50% from the average level when there are greater buy trades by momentum investors that demand liquidity and there are less sell trades by contrarian (or profit-taking) investors that supply liquidity. On the other hand, volatility dampens by more than 57% when there are greater sell trades by profit-taking investors, mostly by domestic investors, while there are less momentum buy trades.     

Predictable behavior, profits, and attention

Stocks in the Shanghai market that hit upper price limits typically exhibit three characteristics: high returns, high volumes, and news coverage. We show that these price limit events attract investors' attention. Attention-grabbing events lead active individual investors to buy stocks they have not previously owned. Consistent with lowering investor search costs, events that affect a few (many) stocks lead to increased (decreased) buying. Upper price limit events coincide with initial price increases followed by statistically significant price mean reversion over the following week. Rational traders (statistical arbitrageurs) profit in response to attention-based buying. Smart traders accumulate shares on date t, sell shares on date t + 1, and earn a daily average profit of 1.16%. We show the amount they invest predicts the degree of attention-based buying by individual investors. We end by decomposing individual investor trades in order to estimate losses attributable to behavioral biases.     

Capacity constraints,investor information,and hedge fund returns

To identify capacity constraints in hedge funds and simultaneously gauge how well-informed hedge fund investors are, we need measures of investor demand that do not affect deployed hedge fund assets. Using new data on investor interest from a secondary market for hedge funds, this paper verifies the existence of capacity constraints in hedge funds. There is more mixed evidence on the information available to hedge fund investors. Buy and sell indications arrive following fund outperformance. While buy indications have little incremental power to predict hedge fund performance over and above well-known forecasting variables, sell indications do somewhat better.     

Effects of investor tax heterogeneity on stock prices and trading behaviour around the ex-dividend day: the case of Australia

Using a sample of Australian stocks during the 1996–2014 period, this study examines how tax heterogeneity between domestic and foreign investors affects trading behaviour and stock prices around the ex-dividend day. Domestic investors prefer dividends and tend to buy stocks cum-dividend and sell them ex-dividend whereas foreign investors tend to trade in the opposite direction. Abnormal trading turnover increases with tax heterogeneity. Moreover, stocks with a larger domestic investor base are associated with a higher price drop-off ratio on the ex-dividend day and higher market value of franking credits. Overall, our findings support the dynamic dividend clientele hypothesis.     

Price Clustering: Evidence Using Comprehensive Limit-Order Data

Employing comprehensive limit-order data which identify investor types, this paper examines the clustering pattern of limit-order prices. First, limit orders, particularly those submitted by individual investors (IIs), tend to cluster at integer and even prices. Second, nonmarketable limit-order prices cluster more than marketable limit-order prices, indicating that aggressive limit orders generally embed more information. Third, investors choosing even-priced limit orders are not penalized by lower execution ratios. Fourth, investors (particularly IIs) strategically exhibit front-running behavior. Fifth, price clustering indeed creates price barriers. Finally, the degree of price clustering using trade data is significantly underestimated, compared to that using limit-order data.     

The informativeness of brokerage reports: Privately-circulated versus publicly-disseminated news

Using the brokerage analyst reports released from 2014 to 2019, this paper examines the effects of the information role of brokerage firms and the information transmission role of the media on investor trading activity in the Taiwan stock market. Trading activity in the market can be categorized by investor types, including retail investors and institutional investors (foreign institutions, mutual funds, and broker dealers). This paper reviews the “buy the rumor, sell the news” trading strategy, which refers to institutional investors acting as early-informed traders and exhibiting short-term profit-taking characteristics. Notably, mutual funds have the best informational advantage among institutional investors, whose trading activities are significantly and positively related to the abnormal returns around the release of brokerage reports. On the other hand, retail investors may follow the trading activity of institutional investors without making a significant profit. The empirical findings are robust to include several firm and market characteristics. Overall, the empirical results provide in-depth insights into the regulation of brokerage analyst report disclosures.     

中国个人投资者处置效应研究——一个非理性信念的视角

处置效应是指投资者过早卖出盈利股票而长期持有亏损股票的现象。大量文献表明金融市场投资者存在显著的处置效应,但其产生的原因和机理存在争议。本文在前景理论框架下,构建了包含投资者非理性预期的离散时间投资组合决策模型,发现处置效应随投资者情绪升高而减弱。本文使用我国某券商2007—2009年近177万个人投资者股票账户的交易数据进行了实证分析,得到与理论模型预测的一致结果,即投资者情绪与投资者处置效应之间呈现显著的负相关关系。而且,受情绪影响,投资者处置效应在估值难度较大的股票中更弱。本文结论对理解投资者处置效应、优化投资者卖出决策和加强资本市场基础制度建设具有一定理论和实践意义。     

Analyst target price revisions and institutional herding

We document that institutional herding behavior is associated with analyst target price revisions even after controlling for the effects of analyst recommendations and earnings forecasts, and provide insights into the price impact of institutional herding. Institutional investors tend to buy the same stocks following an upward target price revision and sell the same stocks following a downward price revision. Moreover, institutional investors tend to overreact to analysts' target price revisions, which exacerbates the mispricing in the stock market. Such price destabilizing effect is particularly pronounced for herding among investment firms.     

Is the Aggregate Investor Reluctant to Realise Losses? Evidence from Taiwan

We ask whether the typical investor and the aggregate investor exhibit a bias known as the disposition effect, the tendency to sell investments that are held for a profit at a faster rate than investments held for a loss. We analyse all trading activity on the Taiwan Stock Exchange (TSE) for the five years ending in 1999. Using a dataset that contains all trades (over one billion) and the identity of every trader (nearly four million), we find that in aggregate, investors in Taiwan are about twice as likely to sell a stock if they are holding that stock for a gain rather than a loss. Eighty‐four percent of all Taiwanese investors sell winners at a faster rate than losers. Individuals, corporations, and dealers are reluctant to realise losses, while mutual funds and foreigners, who together account for less than 5% of all trades (by value), are not.     

Are investors consistent in their trading strategies? An examination of individual investor-level data

While it has been demonstrated that momentum or contrarian trading strategies can be profitable in a range of institutional settings, less evidence is available concerning the actual trading strategies investors adopt. Standard definitions of momentum or contrarian trading strategies imply that a given investor applies the same strategy to both their buy and sell trades, which need not be the case. Using investor-level, transaction-based data from China, where tax effects are neutral, we examine investors' buy-sell decisions separately to investigate how past returns impact differentially on the trading strategies investors adopt when buying and selling stock. After controlling for a wide range of stock characteristics, extreme price changes and portfolio value, a clear asymmetry in trading is observed; with investors displaying momentum behavior when buying stocks, but contrarian behavior when selling stocks. This asymmetry in behavior is not driven purely by reactions to stock characteristics or extreme stocks. We discuss behavioral and cultural explanations for our findings.     

Fund ownership and stock price informativeness of Chinese listed firms

We examine the impact of mutual fund ownership on stock price informativeness in China. Existing evidence shows that stock price informativeness is low in China, and attributes this to firms’ lack of disclosure incentives under the weak investor protection institutional environment. Mutual funds are more sophisticated and influential than individual investors to monitor firms, and thus serve as an external governance mechanism to improve corporate transparency. However, the impact of mutual funds in China can also be moderated by state ownership of listed firms, which reduces firms’ dependence on outside investors for capital. Indeed, we find that mutual fund ownership is positively related to share price informativeness, but this effect is less pronounced among state-controlled firms. The main policy implication from our findings is that mutual funds contribute to the corporate information environment of emerging economies but further privatization of listed firms would be needed to realize greater benefit.     

Enterprise digital transformation,breadth of ownership and stock price volatility

We investigate the impact of enterprise digital transformation on the breadth of ownership and stock price volatility. Our findings demonstrate that enterprise digital transformation has enhanced the breadth of ownership. Furthermore, through cross-sectional analysis, we find that this effect is more prominent in firms with lower investor attention, greater stock underpricing, and in regions with higher levels of digitalization. Additionally, we have discovered that the increase of media coverage and investor attention serve as the underlying economic mechanism between digital transformation and ownership dispersion. Our analysis also shows that digital transformation has the potential to worsen stock price volatility. Finally, our examination of open-end mutual funds reveals a digital preference among mutual fund investors; this preference has improved fund flows while exacerbating fund volatility. Our study has practical implications for regulators and corporate managers, as they highlight the impact of digital transformation on investor decision-making.     

CROSS-AUTOCORRELATION BETWEEN A SHARES AND B SHARES IN THE CHINESE STOCK MARKET

Listed companies in China, upon meeting certain requirements, can issue two types of shares: A shares and B shares. Local investors in China can only buy and sell A shares, while foreign investors can only buy and sell B shares. We argue that foreign investors may receive news about China faster than domestic Chinese investors because of information barriers in China. Since foreigners participate in the B-share market, the price movements of B shares should reflect the common information that the foreigners have. Rational A-share investors can therefore condition their trading decisions on the previous price movements of B shares. As a result, returns on B shares should lead the returns on A shares. Using daily prices of A and B shares, we demonstrate that returns of B shares are correlated with those of A shares and that this correlation depends on the information transmission mechanism at work. The pattern of the asymmetric cross-autocorrelation is robust to the inclusion of lagged realized returns and trading volumes.     

Inference,arbitrage, and asset price volatility

Does the presence of arbitrageurs decrease equilibrium asset price volatility? I study an economy with arbitrageurs, informed investors, and noise traders. Arbitrageurs face a trade-off between “inference” and “arbitrage”: they would like to buy assets in response to temporary price declines—the arbitrage effect—but sell when prices decline permanently—the inference effect. In equilibrium, the presence of arbitrageurs increases volatility when the inference effect dominates the arbitrage effect. From a technical point of view, the paper offers closed form solutions to a dynamic equilibrium model with asymmetric information and non-Gaussian priors.     

Influence of cultural factors on price clustering and price resistance in China's stock markets

This paper builds on prior research by analysing the impact of cultural factors on both price clustering and price resistance in China's stock markets. The results support the presence of cultural factors impacting on price clustering with the digit 8 showing a higher propensity for clustering and the digits 4 and 7 showing a lower propensity in the A‐share market, where stock is denominated in renminbi and traded by mainland Chinese. These results are further supported by an analysis of the B‐share market, where cultural factors have no (or less) impact on the price of Chinese stocks traded by foreign investors in US dollars (or in Hong Kong dollars). A range of measures for price resistance show the digits 0 and 5 to be significant resistance points in the A‐share market. Although digit 8 cannot be considered as a resistance point, its resistance level is highest among the remaining numbers. In conclusion, cultural factors help to explain not only price clustering in the Chinese stock markets but price resistance levels as well, albeit at a weak level.     

Investor Sentiment,Trading Behavior and Informational Efficiency in Index Futures Markets

This paper shows that traders in index futures markets are positive feedback traders—they buy when prices increase and sell when prices decline. Positive feedback trading appears to be more active in periods of high investor sentiment. This finding is consistent with the notion that feedback trading is driven by expectations of noise traders. Consistent with the noise trading hypothesis, order flow in index futures markets is less informative when investors are optimistic. Transitory volatility measured at high frequencies also appears to decline in periods of bullish sentiment, suggesting that sentiment‐driven trading increases market liquidity.     

Institutional herding and its price impact: Evidence from the corporate bond market

We examine the extent to which institutional investors herd in the U.S. corporate bond market and the price impact of their herding behavior. We find that the level of institutional herding in corporate bonds is substantially higher than what is documented for equities, and that sell herding is much stronger and more persistent than buy herding. The price impact of herding is also highly asymmetric. While buy herding facilitates price discovery, sell herding causes transitory yet large price distortions. Such price destabilizing effect of sell herding is particularly pronounced for speculative-grade, small, and illiquid bonds, and during the financial crisis.     

Short-horizon incentives and stock price inflation

Do managerial incentive horizons have capital market consequences? We find that they do when short-sale constraints are more binding. Firms experience significant stock price inflation when their CEOs have short horizon incentives. The short-horizon CEOs sell more shares at inflated prices and generate greater abnormal trading profits. The stock price inflation is partly explained by greater earnings surprises and more positive investor reaction to the surprises. To inflate stock prices, short-horizon firms are more likely to employ income-increasing discretionary accruals. Consistent with theoretical predictions, all these effects are attenuated or statistically insignificant when short-sale constraints are less binding.