The Effect of Investor Sentiment on Feedback Trading and Trading Frequency: Evidence from Taiwan Intraday Data

Abstract

Although extensive literature has suggested that investor sentiment may be one of the most important factors in explaining investor trading frequency and trading strategies, how individual investors are significantly influenced by sentiment remains underexplored. The feature of numerous individual investors in the Taiwan stock market provides an avenue to examine the relationship of investor sentiment to trading frequency and positive-feedback trading according to intraday data. Using a vector autoregression model to measure feedback trading in one-minute intervals, we find that trading frequency appears to increase in periods of rising market, suggesting that investor sentiment–driven trading increases market trading frequency without relying on past experiences to conduct trading behavior.     

Positive Feedback Trading and Investor Sentiment

This article examines how investor sentiment affects positive feedback trading behavior. By analyzing the daily closing total return of CSI 300 index and its individual returns of stocks, we find that relatively high or low sentiment induces active positive feedback trading. With a specific indicator of sentiment, we explain the microstructure setting of the relationship between positive feedback trading and sentiment. We adopt the classical feedback model from Sentana and Wadhwani (1992) to measure positive feedback trading behavior. By adding sentiment factor to the model, we successfully explain how sentiment influences the behavior of both feedback traders and rational investors. The empirical findings suggest that positive feedback traders are more likely to trade when the prices of most securities move forward together. When the sentiment of feedback traders is at an intermediate level, the feedback trading behavior is insignificant.     

The Impact of Universal Stock Futures on Feedback Trading and Volatility Dynamics

Abstract:  This paper investigates the impact of the introduction of Universal Stock Futures (USFs) on underlying market dynamics (volatility and the level of feedback trading). Analysis of USFs provides a number of advantages compared to investigation of index futures, leading to reliable and wider ranging insights into the impact of derivatives. Specifically: (i) any impact of derivatives is more likely to be evident in the behaviour of individual stocks; (ii) with USFs it is possible to directly trade the underlying; (iii) USFs have multiple introduction dates within a given market; (iv) differential country/industry effects can be identified; and (v) the endogeneity issue can be addressed using control stocks. Findings suggest limited feedback trading in USF stocks, but listing has reduced this further. While news has less impact and persistence and asymmetry effects are more evident post-futures, control stock results suggest these changes are not futures induced. Differences are evident across industries. The need for analysis of an appropriate (industry based) control sample is highlighted if reliable policy conclusions are to be reached.     

Trade Size Preference of Informed Traders in Indian Equity Markets

This study utilized high frequency transactions data to analyze the trade size preference of informed traders in Indian equity markets. It is observed that informed traders at an aggregate level adopt stealth trading strategy, wherein they prefer medium sized trades over large sized trades in order to camouflage their private information. However, the stealth trading behavior varies across stocks, wherein informed traders prefer more large sized trades on firms that are part of an index compared to non-index firms. Trading behavior also varies across other market conditions. It has been noted that informed traders prefer large sized trades during periods of high market thickness, negative returns, and low volatility. This study also provides a rationale for such varied behavior of informed traders.     

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.     

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.     

国外高频交易的发展现状及启示

证券市场上的高频交易模式大体上分为四类:订单拆分策略、做市交易策略、定量化交易策略和其他策略。研究发现:(1)高频交易降低了买卖价差,提高了市场流动性,而并没有增加市场波动率,甚至反而可能降低了市场波动率;(2)没有发现高频交易者存在系统性抢单行为(并不排除有特定高频交易者存在此类行为);(3)学术研究认为高频交易有导致市场风险的可能性,但是事件调查大多认为高频交易不是引发市场风险的罪魁祸首。本文认为,对高频交易的监管应该注重抓住重点区别对待,以维护公平、透明、高效的市场秩序。     

The Dynamic Relation Between Stock Returns, Trading Volume, and Volatility

We examine the dynamic relation between returns, volume, and volatility of stock indexes. The data come from nine national markets and cover the period from 1973 to 2000. The results show a positive correlation between trading volume and the absolute value of the stock price change. Granger causality tests demonstrate that for some countries, returns cause volume and volume causes returns. Our results indicate that trading volume contributes some information to the returns process. The results also show persistence in volatility even after we incorporate contemporaneous and lagged volume effects. The results are robust across the nine national markets.     

Corporate Sales, Equity Trading, and Risk

This paper proposes and investigates an explanation for a positive association between the signed value of common share returns and trading activity. The mixture of distributions model for stock returns and trading is applied with the added assumption that product sales for a firm is the directing process which generates the flow of information to equity markets. Because trading depends upon information arrival, sales and trading are positively related. Also, because contribution margin is positive, cash flows increase with sales. Dependence of both cash flows and trading on sales implies that returns and trading are also positively related. This explanation is tested in this paper.     

Cusum Techniques for Technical Trading in Financial Markets

It is discovered that the CUSUM techniques often used in the manufacturing industry can be adapted to yield a trading strategy in the financial market. The familiar filter trading strategy in finance is found to be a particular case of CUSUM procedures. A more general form of the CUSUM techniques will yield new trading strategies which have intuitive appeals. Trading characteristics of such strategies will be investigated using CUSUM techniques.     

Technical Trading Rules in Emerging Markets and the 1997 Asian Currency Crises

The ability of simple technical trading rules to forecast future stock market movements is considered for seventeen emerging markets, sampled from January 1986 to September 2003. Some of the trading rules considered generated significant returns; this information could be exploited profitably on occasion. Market conditions and trading volume are found to be important to determining the usefulness of technical trading rules.     

Financial Access and Economic Growth: Evidence from Sub-Saharan Africa

This study empirically analyzes the effects of financial access on economic growth in Sub-Saharan Africa. By estimating panel data on thirty-seven countries from Sub-Saharan Africa between 2004 and 2012, we examine whether improved access to financial services has contributed to economic growth in this region. The empirical results clearly indicate that financial access has a statistically significant and robust effect on increasing economic growth in Sub-Saharan Africa.     

Price and Volatility Spillovers in the Case of Stock Markets Located in Different Time Zones

This paper investigates the interdependence of price volatility across the U.S. stock market and two emerging markets: Poland and Hungary. Using daily data for countries located in different time zones, we point out the problems caused by the presence of nonsynchronous trading effects. To address this problem we use open-to-close logarithmic returns of major stock market indexes. The asymmetric impact of good and bad news is described by a multivariate exponential general autoregressive conditional heteroskedastic model. We investigate the sample from May 2004 to December 2011. The evidence is that the U.S. prices spill over to other markets. Our results show no pronounced volatility spillovers among the three examined markets. Moreover, we observe the presence of negative asymmetry in the case of all markets.     

The Informational Role of Option Trading Volume in Equity Index Options Markets

This paper examines the dynamic relations between future price volatility of the S&P 500 index and trading volume of S&P 500 options to explore the informational role of option volume in predicting the price volatility. The future volatility of the index is approximated alternatively by implied volatility and by EGARCH volatility. Using a simultaneous equation model to capture the volume-volatility relations, the paper finds that strong contemporaneous feedbacks exist between the future price volatility and the trading volume of call and put options. Previous option volumes have a strong predictive ability with respect to the future price volatility. Similarly, lagged changes in volatility have a significant predictive power for option volume. Although the volume-volatility relations for individual volatility and volume terms are somewhat different under the two volatility measures, the results on the predictive ability of volume (volatility) for volatility (volume) are broadly similar between the implied and EGARCH volatilities. These findings support the hypothesis that both the information- and hedge-related trading explain most of the trading volume of equity index options.     

Trading Volume and Market Volatility: Developed versus Emerging Stock Markets

We investigate the relation between volatility and volume in 22 developed markets and 27 emerging markets. Compared to developed markets, emerging markets show a greater response to large information shocks and exhibit greater sensitivity to unexpected volume. We find a negative relation between expected volume and volatility in several emerging markets, which can be attributed to the relative inefficiency in those markets. Previous research reports that the persistence in volatility is not eliminated when lagged or contemporaneous trading volume is considered. Our findings show that, when volume is decomposed into expected and unexpected components, volatility persistence decreases.     

The determinants of private capital flow volatility in Sub-Saharan African countries

The study investigates the underlying factors of patterns of volatility for FDI, portfolio equity and cross-border bank lending inflows for sub-Saharan African countries using a panel framework with data from 1990 to 2011. No other study has focussed exclusively on sub-Saharan Africa when investigating the determinants of private capital flow volatility. This study is further unique in that it employs clearly-delineated cross-border bank lending data from the Bank of International Settlements’ (BIS) Locational Banking Statistics that has not been used by similar prior studies. The findings of the study are as follows: (1) global liquidity lowers FDI volatility while private sector credit increases volatility; (2) global liquidity increases portfolio equity volatility with growth and the quality of macroeconomic policies found to be important pull factors in lowering volatility; and (3) the quality of macroeconomic policies and trade openness are important pull factors in lowering cross-border bank lending volatility while financial openness increases volatility.     

Liquidity Provision of Limit Order Trading in the Futures Market Under Bull and Bear Markets

Abstract:  This study investigates how limit orders affect liquidity in a purely order-driven futures market. Additionally, the possible asymmetric relationship between market depth and transitory volatility in bull and bear markets and the effect of institutional trading on liquidity provision behavior are examined as well. The empirical results demonstrate that subsequent market depth increases as transient volatility increases in bull markets. Market depth exhibits significantly positive relationship to subsequent transient volatility in bull markets. Additionally, although trading volume positively influences transient volatility in bull markets, no such relationship exists in bear markets. Liquidity provision decreases when institutional trading activity intensifies during bear markets. Thus, liquidity provision for limit orders differs between bull and bear markets.     

Mortgage Put Options and Real Estate Markets

In this paper we offer direct evidence that financial intermediation does impact underlying asset markets. We develop a specific observable symptom of a banking system that underprices the put option imbedded in non-recourse asset-backed lending. Using a dataset for 19 countries and over 500 real estate investment trusts, we find that, following a negative demand shock, the “underpricing” economies experience far deeper asset market crashes than economies in which the put option is correctly priced.

Feedback trading in stock index futures: Evidence from South Africa

This study tests whether investors and speculators in stock index futures contracts on the South African stock market use feedback trading strategies. Feedback trading can be destabilizing and impede on the risk mitigation and price discovery functions of futures contracts. Using the Sentana and Wadhwani (1992) model, and accounting for the global financial crisis, we find no evidence of feedback trading in the Top40 futures index or the Top40 mini futures index contracts. Our findings have important implications for investors who wish to use index futures to mitigate risk or exploit arbitrage opportunities and regulators concerned about the destabilizing effects of futures trading.     

Taper Tantrum and Emerging Equity Market Slumps

In the post-global financial crisis period, the central banks of the advanced economies pursued unconventional monetary policies, such as the United States (U.S.) Federal Reserve’s quantitative easing (QE). Those policies and their unwinding may significantly affect cross-border capital flows and thus destabilize the financial systems of emerging markets. For example, emerging markets experienced substantial financial instability during the taper tantrum triggered by U.S. Federal Reserve Chairman Ben Bernanke’s May 2013 announcement of the potential unwinding of QE. In this article, we examine the spillovers from the taper tantrum on emerging markets more rigorously by using econometric analysis to empirically assess the effect on equity markets in emerging markets. Our central finding that virtually all emerging-market equity markets were affected by the taper tantrum highlights the need for emerging-market authorities to remain vigilant about the effects of advanced-economy monetary policies on their financial stability.