The importance of fear: investor sentiment and stock market returns

The presence of investor sentiment pushes asset prices away from the equilibrium level justified by underlying fundamentals. While sentiment is not directly observable, identifying appropriate proxies and, quantifying the impact of sentiment on asset prices is an important topic. Asset prices that do not appropriately reflect fundamental values may result in inefficient allocation of capital – impacting portfolio allocation decisions and the cost of capital. Utilizing a number of sentiment proxies, over the period 1990–2015, we demonstrate a strong relationship between investor sentiment and stock returns that is consistent with theoretical explanations of sentiment. We determine that implied volatility index (VIX) is the preferred measure of sentiment in terms of improving model fit and adding explanatory power. Causality tests suggest that investor fear (VIX) drives returns across firm-size and value, and also across industry. We also illustrate that firms that are more subjective to value, or face limits to arbitrage, such as small-cap stocks, or those in the business equipment (technology) or telecoms industry, are most responsive to changes investor sentiment. Finally, we demonstrate that sentiment has a greater influence on market returns during recession, when sentiment is at its lowest ebb, and this is particularly true for those stocks most susceptible to speculative demand.     

Dynamic relationship between stock market trading volumes and investor fear gauges movements

This article applies multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrended cross-correlation analysis (MF-DCCA) to investigate cross-correlation behaviours between two kinds of stock markets trading volumes and investor fear gauges covering the data of U.S. stock markets from 2 January 2004 to 31 July 2018. The empirical results show that the dynamic relationship between stock markets trading volume fluctuations and different kinds of investor fear gauges are multifractal and find that the dynamic relationship is strongly anti-persistent. Moreover, financial crisis in 2008 has a significant impact on the cross-correlated behaviour, suggesting that stock market trading volume fluctuations and investor fear gauges are more susceptible to each other during the financial crisis period. Through the rolling windows analysis, we also find that the stock markets trading volume fluctuations and different kinds of investor fear gauges are anti-persistent dynamic cross-correlated.     

Investor Pessimism and the German Stock Market: Exploring Google Search Queries

We analyze the relationship of retail investor sentiment and the German stock market by introducing four distinct investor pessimism indices (IPIs) based on selected aggregate Google search queries. We assess the predictive power of weekly changes in sentiment captured by the IPIs for contemporaneous and future DAX returns, volatility and trading volume. The indices are found to have individually varying, but overall remarkably high explanatory power. An increase in retail investor pessimism is accompanied by decreasing contemporaneous market returns and an increase in volatility and trading volume. Future returns tend to increase while future volatility and trading volume decrease. The outcome is in line with the conjecture of correction effects. Overall, the results are well in line with modern investor sentiment theory.     

Interest rate,size and book-to-market effects in Australian financial firms

The Fama–French three-factor model (1993) has been extensively used to study the pricing of nonfinancial stocks. This study provides the first examination of the pricing of Australian financial stocks using the Fama–French framework. The four-factor model (market, size, book-to-market and momentum) augmented with the level, slope and curvature of the interest rate term structure is used to examine the pricing of Australian financial stocks. The interest rate factors have not been previously considered for pricing Australian stocks within the Fama–French framework. Consistent with US evidence, we use a system-based estimation to show that the size and book-to-market factors are not priced in the cross section of the equity returns of Australian financial stocks. Momentum and term spread are priced in the equity returns of both financial and nonfinancial stocks. These findings are robust to the inclusion of control variables such as default spread, the inflation rate and a dummy variable for the global financial crisis.     

Predicting long-run risk factors of stock returns: Evidence from Australia

This study utilises the stock market data provided by the Australian Equity Database to analyse the long-run relationship between Australian stock returns and key macroeconomic variables over the period 1926–2017. To measure the diverse risk factors in the stock market, we examine the possible determinants in four main categories: real, financial, domestic and international. Our results reveal that historical stock returns are strongly connected to financial and international factors as compared to real and domestic factors. Both the 1973–1974 OPEC Oil Price Crisis and 2007–2008 Global Financial Crisis had dampening effects on stock returns. There is a positive association between the US and Australian stock markets in the long-run. These findings on stock market dynamics and their linkages with domestic and international macroeconomic policy changes in the long-run have important implications for traders and practitioners.     

Time-varying relationship of news sentiment,implied volatility and stock returns

I examine the relationship between aggregate news sentiment, S&P 500 index (SPX) returns, and changes in the implied volatility index (VIX). I find a significant negative contemporaneous relationship between changes in VIX and both news sentiment and stock returns. This relationship is asymmetric whereby changes in VIX are larger following negative news and/or stock market declines. Vector autoregression (VAR) analysis of the dynamics and cross-dependencies between variables reveals a strong positive relationship between previous and current period changes in implied volatility and stock returns, while current period and lagged news sentiment has a significant positive (negative) relationship with stock returns (changes in VIX). I develop a simple trading strategy whereby high (low) levels of implied volatility signal attractive opportunities to take short (long) positions in the underlying index, while extremely negative (positive) news sentiment signals opportunities to enter short (long) index positions. The investor fear gauge (VIX) appears to perform better than news sentiment measures in forecasting future returns.     

Threshold effect in the relationship between investor sentiment and stock market returns: a PSTR specification

This article verifies whether the hypothesis of heterogeneous agent modelling and the behavioural heterogeneity framework can reproduce recent stylized facts regarding stock markets (e.g. the 1987 crash, internet bubble, and subprime crisis). To this end, we investigate the relationship between investor sentiment and stock market returns for the G7 countries from June 1987 to February 2014. We propose an empirical non-linear panel data specification based on the panel switching transition model to capture the investor sentiment-stock return relationship, while enabling investor sentiment to act asymmetrically, non-linearly, and time varyingly according to the market state and investor attitude towards risk. Our findings are twofold. First, we show that the hypotheses of efficiency, rationality, and representative agent do not hold in reproducing stock market dynamics. Second, investor sentiment affects stock returns significantly and non-linearly, but its effects vary with the market conditions. Indeed, the market appears predominated by fundamental investors in the first regime. In the second regime, investor sentiment effect is positively activated, increasing stock returns; however, when their overconfidence sentiment exceeds some threshold, this effect becomes inverse in the third regime for a high threshold level of market confidence and investor over-optimism.     

Daily market news sentiment and stock prices

In recent years there has been a tremendous growth in readily available news related to traded assets in international financial markets. This financial news is now available through real-time online sources such as Internet news and social media sources. The increase in the availability of financial news and investor’s ease of access to it has a potentially significant impact on market stock price movement as these news items are swiftly transformed into investors sentiment which in turn drives prices. In this study, we use the Thomson Reuters News Analytics (TRNA) data set to construct a series of daily sentiment scores for Dow Jones Industrial Average (DJIA) stock index constituents. We use these daily DJIA market sentiment scores to study the influence of financial news sentiment scores on the stock returns of these constituents using a multi-factor model. We augment the Fama–French three-factor model with the day’s sentiment score along with lagged scores to evaluate the additional effects of financial news sentiment on stock prices in the context of this model using Ordinary Least Square (OLS) and Quantile Regression (QR) to analyse the effect around the tail of the return distribution. We also conduct the analysis using the seven-day simple moving average (SMA) of the scores to account for news released on non-trading days. Our results suggest that even when market factors are taken into account, sentiment scores have a significant effect on Dow Jones constituent returns and that lagged daily sentiment scores are often significant, suggesting that information compounded in these scores is not immediately reflected in security prices and related return series. The results also indicate that the SMA measure does not have a significant effect on the returns. The analysis using Quantile Regression provides evidence that the news has more impact on left tail compared to the right tail of the returns.     

Inflation and Stock Market Returns:Some Australian Evidence*

This paper analyzes the relationship between Australian stock returns and inflation over the period 1965-79. The effects of inflation in a ‘rational investor’ valuation framework are discussed. Empirical tests suggest that nominal stock returns and inflation are related in a significantly negative fashion, implying that stocks have been extremely poor inflationary hedges for the investor over the period. In addition, Granger-Sims tests of causality indicate a mainly unidirectional relationship between inflation and stock returns, with price level charges leading the equity index in time.     

Do dark pools amplify volatility in times of stress?

In this article, we explore the relationship between trading on dark pools and equity volatility in the context of the recent concerns about increase in frequency of market shocks combined with changes in market microstructure. In order to understand the potential role of dark pools in times of stress and implications for financial stability, it is essential to investigate the relationship between investor trading preferences and market volatility. For our analysis, we use data on daily trading volumes of FTSE100 stocks on dark and lit order books. We find evidence that dark pool trading has explanatory power in predicting volatility, implying that dark pools may affect the dynamics of price formation through liquidity. Our findings suggest that increased use of dark pools does not increase volatility, but may in fact lower it. Thus, dark pools may not be significantly detrimental to market stability in times of stress. This highlights the need for further analysis of the effects that shifting financial market structure might have on financial stability.     

Investor sentiment and the financial crisis: a sentiment-based portfolio theory perspective

The article proposes a portfolio model subjected to a constraint that captures the investor’s goal, with maximum estimation of expected return that is affected by investor sentiment. And we give a solution of the portfolio model by exploring the geometric features. Furthermore, we discuss the relationship between investor sentiment and the financial crisis by analysing the optimal allocation. The results show that: when investor sentiment is low enough, the investor should reject the investment, this condition leads the depression financial market to prevail, then the financial crisis erupts; when investor sentiment is modest, the financial crisis is difficult to erupt unless the decline of investor sentiment is quick and deep; but there is a special status that the financial crisis is caused by other factors rather than by investor sentiment; and only improving investor sentiment cannot move away from the financial crisis.     

Changes in Investors' Market Attention and Near-Term Stock Market Returns

We use Google Search volume to track changes investors' positive and negative market attention. Our results support the hypothesis that this information reflects investors' optimistic and pessimistic anticipation and can be used to predict near-term future returns. We find that changes in negative search term volume of “market crash” and “bear market” and changes in positive search term volume “market rally” explain near-term stock returns. Changes in investors' attention are partly related to past stock market returns, implying that investors are prone to pay attention to possible price reversals. These measures of market attention are potential gauges of investor sentiment.     

Australian financial firms’ exposures to the level,slope, and curvature of the interest rate term structure

This study examines the risk exposure of Australian financial firms to changes in the term structure of interest rates. Non-linearity in the interest rate term structure is captured by the three-factor model of interest rate level, slope, and curvature. We observe that financial firms have negative exposures to the interest rate level, while non-financial firms have positive exposures. This finding suggests that financial firms need to hedge against rising interest rates, while non-financial firms need to hedge against falling interest rates. Small banks and insurance companies have a positive risk exposure to the slope factor, while real estate firms have a negative risk exposure to the curvature factor. Though the interest rate level is the most important factor, ignoring the slope and curvature factors could lead to underestimating a financial firm’s overall interest rate risk exposure. These findings are robust to controlling for the orthogonalized market return, time-varying equity risk premium, and the global financial crisis. This study offers practical tools to regulators, such as the Reserve Bank of Australia and Australian Prudential Regulatory Authority for assessing interest rate risk exposures of the financial and non-financial sectors.     

Investor sentiment,trading behavior and stock returns

This article examines how investor sentiment and trading behaviour affect asset returns. By analysing the unique stock trading dataset of the Korean market, we find that high investor sentiment induces higher stock market returns. We also find that institutional (individual) trades are positively (negatively) associated with stock returns, suggesting the information superiority (inferiority) of institutional (individual) investors. Investor sentiment generally plays a more important role in explaining stock market returns than investor trading behaviour.     

Does the market care about investor protection practices in China?

This study develops a scorecard with which to measure the investor protection practices of major listed firms in China during 2007–2010. We use time-series data to examine the relationship between the change in firm investor protection practices and market performance. Our results show that firms exhibiting improvements in investor protection practices manifest a subsequent increase in buy-and-hold abnormal returns. The results further indicate that the changes in the sub-index have different effects on a firm’s future performance. Shareholder rights to be rewarded seem to have the most significant and positive effect on a firm’s future performance for both local and international investors. Moreover, international investors pay attention to their rights to information. Our results provide evidence in support of the notion that the market does care about firm’s investor protection practices. The findings are robust to other measures of firm performance.     

Herding by foreign investors and emerging market equity returns: Evidence from Korea

This paper studies the effect of herding by foreign investors on stock returns in the Korean market. We conduct both pre and post-liberalization analyses and utilize a three-stage least squares analysis in order to control for the simultaneous relationship. We find evidence of a significant impact of foreign investor herding on stock returns in addition to intra-year positive feedback trading by foreign investors. However, changes in domestic institutional ownership do not have any significant effect on stock returns. In addition, foreign investors tend to buy/sell shares that domestic institutions sell/buy in the herding year.     

Weather, investor irrationality and day-of-the-week anomaly: case of Indonesia

Finance is based on rational behavior assumption. Thus, the existence of day-of-weekend anomaly in the market can be the anti thesis of the assumption. Much research suggested the role of psychology as the explanation of this anomaly. However, it is rare to find a research investigating the relationship between psychology and day-of-week anomaly (DOWA). As one of the psychology factors is weather-induced mood, this research aims to investigate the relationship between weather cycle and DOWA. This paper used Indonesia average temperature level from 1999 up to 2009 for determining the proxy of moods; and found temperature level does not explain the market returns movements. Temperature level influences the DOWA implying the moods of investor establish the irrational behavior of the market. This result can be used as the explanation of irrationality behavior of investor on Monday. Further research is needed in term of investigating the relationship between psychology factors (need for cognition, heuristic bias, information ignorance, and other factors) and investor behavior.     

Unemployment and Economic Integration for Developing Countries

While financial or trade integration between countries may increase the size of the market and aid the adoption of more advanced technologies, will it also increase the level of urban unemployment for a developing country? In this model, there is unemployment in the urban sector. Manufacturing firms engage in oligopolistic competition and choose increasing returns technologies to maximize profits. Financial firms provide capital to manufacturing firms and they also engage in oligopolistic competition. We show that an increase in the wage rate in the manufacturing sector changes neither the level of technology nor the level of employment in the manufacturing sector. While financial or trade integration between developing countries leads manufacturing firms to adopt more advanced technologies, the level and rate of employment in the manufacturing sector will not deteriorate.     

Global and Extreme Dependence Between Investor Sentiment and Stock Returns in European Markets

The authors investigate the global and extreme dependence structure between investor sentiment and stock returns in 7 European stock markets (Belgium, France, Germany, Greece, the Netherlands, Portugal, and the UK), over the period 1985–2015. Global dependence refers to the correlation of changes in sentiment and stock returns over the whole range of these 2 variables, and extreme dependence refers to the local correlation of high (i.e. asymptotic) changes in sentiment and high stock returns. Using copula models and a bootstrap procedure, 6 statistical tests are performed for this purpose. Among the results of the tests, the authors highlight those that provide evidence of contemporaneous lower extreme dependence and contemporaneous upper extreme independence between sentiment and returns. As policy implications, these results suggest that financial stability can be promoted if regulators consider the impact of their decisions on investor sentiment. Also, the results seem to support the arguments in favor of short selling ban during turmoil periods. Finally, overall, the results are relevant for both investors and regulators and reinforce the importance of considering investor sentiment to better understand the behavior of financial markets.     

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