scholarly journals Does Fear has Stronger Impact than Confidence on Stock Returns? The Case of Asia-Pacific Developed Markets

2020 ◽  
Vol 67 (2) ◽  
pp. 157-175
Author(s):  
Ngoc Bao Vuong ◽  
Yoshihisa Suzuki
Keyword(s):  
Stock Returns ◽  
Investor Sentiment ◽  
Return Predictability ◽  
Asia Pacific ◽  
Market Returns ◽  
Investor Confidence ◽  
Developed Markets ◽  
Volatility Index ◽  
The Impact ◽  
The Relationship

Employing data from Australia, Hong Kong, and Japan over the period between January 2004 to December 2017, this study investigates the relationship between investor sentiment and stock returns. We analyze two reversed sentiment indicators, namely Consumer Confidence Index (CCI) and Volatility Index (VIX), in two conversing situations: low and high sentiment. The empirical evidence suggests that sentiment has a significant link with concurrent returns, but its influence seems to wipe out quickly as the little to no return predictability is detected. More importantly, we find that “investor fear gauge” (VIX) generates a more significant contemporaneous effect on market returns than investor confidence. The impact on future returns, on the contrary, is inconclusive since low CCI and VIX dominate the opposite ones most of the time.

scholarly journals The Impact of Investor Sentiment on Return of Different Industries in Pakistan

2017 ◽  
pp. 1-23
Author(s):  
Sumayya Chughtai Et al.,
Keyword(s):  
Stock Returns ◽  
Principle Component Analysis ◽  
Negative Relationship ◽  
Investor Sentiment ◽  
Differential Impact ◽  
Future Period ◽  
Market Sentiment ◽  
Available Information ◽  
The Impact ◽  
The Relationship

We classify stocks in different industries to measure industrial sentiment based on principle component analysis in order to examine whether investor sentiment exerts a differential impact on stock returns across different industries. After having constructed industry-level sentiment indices we construct a composite investor sentiment index. Our results suggest that investor sentiment negatively affects current as well as future stock returns in Pakistan over the examined period. However, we find that the influence of investor sentiment varies substantially across different industries. We also find that the market sentiment index has a negative relationship with both current and future stock returns. We also show that the direction of the relationship between return and sentiment remains same for the current and future period. This indicates that investors overreact to the available information and mispricing exists for a prolonged time. Our results confirm that sentiment driven mispricing persists for upcoming time and stock markets are not fully efficient to adjust instantaneously.

scholarly journals The Linkage between Sentiments and Stock Market Dynamics New Evidence from Iran

2020 ◽  
Vol 9 (2) ◽  
pp. 29
Author(s):  
Heshmatollah Asgari ◽  
Hamed Najafi
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Screening Method ◽  
Market Price ◽  
Investor Sentiment ◽  
Financial Assets ◽  
Causality Test ◽  
Research Criteria ◽  
The Impact ◽  
The Relationship

In recent years, the issue of financial behaviour and the impact of investors’ sentiments on their decision making have become such a popular issue. The sentiments of financial activists affect the market price of financial assets and particularly stocks, and therefore it is included in the new pricing models of capital assets. In this article, we seek the effect of investors’ sentiments on the dynamics of the Iranian stock market (TSE). To do this, among the companies accepted in the stock market we select 120, considering the research criteria and screening method, we examined TSE specifics throughout 2010-2018 using regression analysis and causality test. Our results show that firstly investors’ sentiments have a direct effect on the stock returns and there is a bilateral relationship between them. Secondly, inflation has the opposite effect and economic growth has a direct and positive effect on the relationship between investor sentiment and stock returns. Finally, government spending has no significant effect on the relationship between investor sentiment and stock returns.

Investor sentiment, realized volatility and stock returns

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wafa Abdelmalek
Keyword(s):  
Stock Returns ◽  
Investor Sentiment ◽  
Realized Volatility ◽  
Causality Test ◽  
Content Type ◽  
Volatility Index ◽  
Negative Sentiment ◽  
Work Supports ◽  
The Relationship ◽  
Future Realized Volatility

PurposeThis paper examines the relationship between volatility, sentiment and returns in terms of levels and changes for both lower and higher data frequencies using quantile regression (QR) method.Design/methodology/approachIn the first step, the study applies the Granger causality test to understand the causal relationship between realized volatility, returns and sentiment as levels and changes. In the second step, the study employs a QR method to investigate whether investor sentiment and returns can predict realized volatility. This regression method gives robust results irrespective of distributional assumptions and to outliers in the dependent variable.FindingsEmpirical results show that the VIX volatility index is a better fear gauge of market-wide investors' sentiments and has a predictive power for future realized volatility in terms of levels and changes for both higher and lower data frequencies. This study provides evidence that the relationship between realized volatility, investor sentiment and returns, respectively, is not symmetric for all quantiles of QR, as opposed to OLS regression. Furthermore, this work supports the behavioral theory beyond leverage hypothesis in explaining the asymmetric relation between returns and volatility at higher and lower data frequencies.Originality/valueThis paper adds to the limited understanding of investor sentiment’s impact on volatility by proposing a QR model which provides a more complete picture of the relationship at all parts of the volatility distribution for both higher and lower data frequencies and in terms of levels and changes. To the author knowledge, this is the first paper to study the volatility responses to positive and negative sentiment changes for developed market and to use both lower and higher data frequencies as well as data in terms of levels and changes.

scholarly journals The Measurement Method of Investor Sentiment and Its Relationship with Stock Market

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jiangshan Hu ◽  
Yunyun Sui ◽  
Fang Ma
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Investor Sentiment ◽  
Principal Component ◽  
Market Volatility ◽  
Response Analysis ◽  
Stock Market Volatility ◽  
Market Returns ◽  
Stock Market Returns ◽  
The Impact

Investor sentiment is a hot topic in behavioral finance. How to measure investor sentiment? Is the influence of investor sentiment on the stock market symmetrical? That is all we need to think about. Therefore, this paper firstly selects five emotional proxy variables and constructs an investor sentiment composite index by principal component analysis. Secondly, the MS-VAR model is employed to study the dynamic relationship among investor sentiment, stock market returns, and volatility. Using the model MSIH (2)-VAR (2), we found that the relationship among the investor sentiment, stock returns, and volatility is different in different regimes. The results of orthogonal cumulative impulse response analysis showed that the shock to investor sentiment has a significant impact on stock market returns, and this impact in the bullish stock market is significantly higher than in the bearish stock market. The impact of the shock to stock market returns on investor sentiment and stock market volatility is relatively significant. The shock to stock market volatility has significant effects on the stock market returns. Overall, the influence of investor sentiment on the stock market is asymmetric; that is, in different regimes of the stock market, the impact of investor sentiment on the stock market is different. Realizing this, investors can better understand and grasp the market, guiding their own investment behavior. Other researchers can also further study the measurement of investor sentiment on this basis to better guide investors’ behavior.

THE ACCESS TO GOVERNMENT FINANCIAL SUPPORT THROUGH LEGAL CHANNELS OF SMALL AND MEDIUM ENTERPRISES IN FOUR ASIA PACIFIC COUNTRIES

2020 ◽  
Vol 9 (2) ◽  
pp. 298
Author(s):  
Muhamad Marwan
Keyword(s):  
Financial Support ◽  
Small And Medium Enterprises ◽  
Mediation Effect ◽  
Asia Pacific ◽  
Survey Questionnaire ◽  
Access To Finance ◽  
Medium Enterprises ◽  
The Impact ◽  
The Relationship

The aim of this study is to determine the impact of networking on SME’s ability to access government financial support through legal channels in Asia Pacific. This study is quantitative in nature in which the data has been gathered from 281 employees and managers working in SMEs through survey questionnaire. The SEM technique was utilised for the purpose of analysing and testing the mediation effect. The study found that there is a partial mediation of government financial support through legal channels among the relationship between networking with officers and access to finance. This study is restricted to the SMEs operating in the region of Asia Pacific.

A quantile regression approach to evaluate the relative impact of global and local factors on the MENA stock markets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Slah Bahloul ◽  
Nawel Ben Amor
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Stock Returns ◽  
Stock Markets ◽  
Financial Integration ◽  
Ordinary Least Squares ◽  
Market Returns ◽  
Stock Market Returns ◽  
Content Type ◽  
The Impact

PurposeThis paper investigates the relative importance of local macroeconomic and global factors in the explanation of twelve MENA (Middle East and North Africa) stock market returns across the different quantiles in order to determine their degree of international financial integration.Design/methodology/approachThe authors use both ordinary least squares and quantile regressions from January 2007 to January 2018. Quantile regression permits to know how the effects of explanatory variables vary across the different states of the market.FindingsThe results of this paper indicate that the impact of local macroeconomic and global factors differs across the quantiles and markets. Generally, there are wide ranges in degree of international integration and most of MENA stock markets appear to be weakly integrated. This reveals that the portfolio diversification within the stock markets in this region is still beneficial.Originality/valueThis paper is original for two reasons. First, it emphasizes, over a fairly long period, the impact of a large number of macroeconomic and global variables on the MENA stock market returns. Second, it examines if the relative effects of these factors on MENA stock returns vary or not across the market states and MENA countries.

scholarly journals The Empirical Test on the Impact of Climate Volatility on Tourism Demand: A Case of Japanese Tourists Visiting Korea

2018 ◽  
Vol 10 (10) ◽  
pp. 3569
Author(s):  
Yun Hwang ◽  
Hyung Kim ◽  
Cheon Yu
Keyword(s):  
Empirical Test ◽  
Tourism Industry ◽  
Model Specification ◽  
Time Lags ◽  
Tourism Demand ◽  
Demand Model ◽  
Volatility Index ◽  
Tourism Resource ◽  
The Impact ◽  
The Relationship

As climate is not only a valuable tourism resource but also a factor influencing travel experience, estimating climate volatility has implications for sustainable development of the tourism industry. This study develops the Climate Volatility Index (CVI) using a Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model and estimates the relationship between CVI and Japanese tourism demand in Korea, using a tourism demand model based on monthly data from January 2000 to December 2013. Possible time lags and multicollinearity among variables are considered for the model specification. The results show that an increase in climate volatility leads to a decrease in tourism demand.

The Impact of Economic Sentiment, Consumer, Producer and Investor's Confidence Indices on Stock Returns of the Listed Companies in FTSE-20 in Greece

2018 ◽  
pp. 162-209
Author(s):  
Constantine Cantzos ◽  
Petros Kalantonis ◽  
Aristidis Papagrigoriou ◽  
Stefanos Theotokas
Keyword(s):  
Stock Returns ◽  
Risk Premium ◽  
Macroeconomic Variables ◽  
Production Index ◽  
Behavioral Indicators ◽  
Portfolio Returns ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
The Relationship

This chapter examines the relationship between stock returns of companies listed in the FTSE-20 on the Athens Exchange and behavioral indicators. The research is based on the behavioral APT model, which examines stock returns' risk factors through the involvement of macroeconomic variables and behavioral indicators. The data is the closing price of 17 shares listed in the FTSE-20 index, a number of macroeconomic variables, and a series of behavioral indicators for the period of January 2001-December 2014. Regressions were conducted with dependent variable stock returns of a portfolio invested equally in these 17 stocks. In addition, the research tests the existence of long-run and short-run equilibrium and causality. The change in the industrial production index along with the risk premium have a positive and significant impact on the portfolio returns. Johansen's test showed that there is a long-run equilibrium between stock returns, macroeconomic variables, and behavioral indicators. The VECM and VAR models showed that there is not long and short-run causality, not even Granger causality. No similar research has been conducted in Greece, thus it fills a literature gap.

Investor Sentiment and Stock Returns

2015 ◽  
pp. 315-328
Author(s):  
Serkan Yılmaz Kandır ◽  
Veli Akel ◽  
Murat Çetin
Keyword(s):  
Stock Returns ◽  
Investor Sentiment ◽  
Consumer Confidence ◽  
Cointegration Test ◽  
Sample Period ◽  
Monthly Data ◽  
Out Of Sample ◽  
Confidence Index ◽  
The Relationship

In this chapter, the authors investigate the relationship between investor sentiment and stock returns in an out of sample market, namely Borsa Istanbul. The authors use the Consumer Confidence Index as an investor sentiment proxy, while utilizing BIST Second National Index as a measure of small capitalized stock returns. The sample period spans from January 2004 to May 2014. By using monthly data, the authors employ cointegration test and error–correction based Granger causality models. The authors' findings suggest that there is a long-term relationship between investor sentiment and stock returns in Borsa Istanbul. Moreover, a unidirectional causal relationship from investor sentiment to stock returns is also found.

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