scholarly journals The impact of investor sentiment for the U.S. stock market based on Fama-French 3-factor model

2021 ◽  
Vol 275 ◽  
pp. 01055
Author(s):  
Sifan Yu
Keyword(s):  
Asset Pricing ◽  
Stock Market ◽  
Factor Model ◽  
Dynamic Change ◽  
Composite Index ◽  
Investor Sentiment ◽  
Market Index ◽  
The Usa ◽  
The Impact ◽  
The U.S

Particularly, it is difficult to accurately measure investor sentiment due to the inherent complexity and dynamic change. This paper tests the impact of investors’ behavior in the U.S. equity market. By using monthly data from February 2014 to December 2018, the impacts of investor sentiment are examined. Besides, Fama-French risk factors are investigated in a new multiple factor asset pricing model. Specifically, the investor sentiment is measured by six-variable composite index. Empirical results indicate that the investor sentiment is a composition of systemic risk. In this case, the Fama-French three factor model with investor sentiment factor can fully explains the return of stocks in the USA stock market. By comparing the trend of investor sentiment and market index, investor sentiment will affect asset pricing and market volatility, i.e., verifies the effectiveness of investor sentiment index in the U.S, stock market.

scholarly journals MULTIFACTOR ASSET PRICING ANALYSIS OF THE BALTIC STOCK MARKET

Ekonomika ◽  
2010 ◽  
Vol 89 (4) ◽  
pp. 85-95 ◽  
Author(s):  
Raimonds Lieksnis
Keyword(s):  
Asset Pricing ◽  
Stock Market ◽  
Factor Model ◽  
Stock Market Index ◽  
Cross Sectional ◽  
Economic Significance ◽  
Market Index ◽  
Fama And French ◽  
The Baltic ◽  
Three Factor

This study investigates whether the Fama–French three-factor asset pricing model is applicable for explaining cross-sectional returns of stocks listed in the Baltic stock exchanges. Findings confirm the validity and economic significance of the three-factor model for the Baltic stock market: only investors who chose to invest in value stocks during the reference period achieved positive returns by matching or beating the returns of the stock market index. The monthly returns of 8 Latvian, 13 Estonian and 27 Lithuanian company stocks are analyzed for the time period from June 2002 till February 2010 by the methodology presented in Davis, Fama, and French (2000). Cross-sectional multivariate regression is calculated with stock portfolios representing the book-to-market and capitalization of companies as independent variables along with the stock market index. The study concludes that these three factors in the three-factor model are statistically significant, but, in line with earlier studies, regression intercepts are significantly different from zero and the model is not statistically confirmed.p>

scholarly journals Using E-GARCH to Analyze the Impact of Investor Sentiment on Stock Returns Near Stock Market Crashes

2021 ◽  
Vol 12 ◽  
Author(s):  
Sze Ting Chen ◽  
Kai Yin Allison Haga
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Policy Making ◽  
Composite Index ◽  
Investor Sentiment ◽  
Investment Decisions ◽  
Rate Of Return ◽  
Market Participants ◽  
Rational Investment ◽  
The Impact

Purpose: Investor sentiment, the willingness of market participants to invest, is a difficult concept to measure. Exploring the relationship between investor sentiment and stock returns can reveal how investor sentiment affects the operation of the stock market. Such an understanding can assist market participants in making more rational investment decisions based on market laws. Such an understanding can also assist regulators in their roles of supervision and policy making.Methodology: Although the E-GARCH model has the advantage of considering volatility clustering, it has not previously been used to investigate the impact of investor sentiment changes on the Shanghai Composite Index's market return. This research therefore applies the E-GARCH approach to data from 2015 to 2018, to explore the influence of investor sentiment on the return rate of the Shanghai Composite Index.Main Findings: There are three main findings. First, when the investor sentiment is increased by the same amount, the rate of return before a stock market crash will have a smaller increase than the rate of change after the crash, which is a new finding. Second, the rate of return on stocks is susceptible to emotional sentiment, rather than simply depending on stock price. Third, the tendency of retail investors to follow the crowd is less in periods of pessimism than it is in periods of optimism, which, in turn, can push up stock yields.Application: Based on these research results, this article can provide insights to understand how investors' subjective judgments on future earnings affect their investment behavior and how great the impact is on the market. At the same time, it can help investors make more rational investment decisions based on an understanding of market laws, and help regulators with guidance for their supervision and policy making.Originality/Value: This paper contributes to the theory of the investor sentiment index, improving the index construction method by adding two sentiment proxy indicators: investor activity ACT and stock market leverage level. After constructing the sentiment index and comparing it with the stock market index (Shanghai Composite Index), the fit is found to be improved.

scholarly journals Light a lamp and look at the stock market

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Radeef Chundakkadan
Keyword(s):  
Stock Market ◽  
Financial Distress ◽  
Investor Sentiment ◽  
Downside Risk ◽  
Bond Yields ◽  
Risky Assets ◽  
Market Participants ◽  
Market Return ◽  
The Impact

AbstractIn this study, we investigate the impact of the light-a-lamp event that occurred in India during the COVID-19 lockdown. This event happened across the country, and millions of people participated in it. We link this event to the stock market through investor sentiment and misattribution bias. We find a 9% hike in the market return on the post-event day. The effect is heterogeneous in terms of beta, downside risk, volatility, and financial distress. We also find an increase (decrease) in long-term bond yields (price), which together suggests that market participants demanded risky assets in the post-event day.

scholarly journals How Representative Are Snowball Samples? Using the Ethnosurvey to Study Guatemala-U.S. Migration

2016 ◽  
Vol 666 (1) ◽  
pp. 64-76
Author(s):  
David P. Lindstrom
Keyword(s):  
Rhode Island ◽  
Composite Index ◽  
The United States ◽  
Mexican Migration ◽  
Background Characteristics ◽  
Household Location ◽  
Sample Weighting ◽  
Migrant Integration ◽  
The Impact ◽  
The U.S

This analysis draws on binational data from an ethnosurvey conducted in Guatemala and in the United States in Providence, Rhode Island, to develop a refinement of the weighting scheme that the Mexican Migration Project (MMP) uses. The alternative weighting procedure distinguishes between temporary and settled migrants by using a question on household location in the Guatemala questionnaire that is not used in the MMP. Demographic characteristics and integration experiences of the most recent U.S. trip are used to assess the composition and representativeness of the U.S. sample. Using a composite index of migrant integration to compare the impact of alternative U.S. sample weights on point estimates, I find that although the U.S. sample is broadly representative across a range of background characteristics, the MMP sample weighting procedure biases estimates of migrant integration downward.

scholarly journals The Impact of Investor Sentiment on the German Stock Market

2010 ◽  
Author(s):  
Philipp Finter ◽  
Alexandra Niessen-Ruenzi ◽  
Stefan Ruenzi
Keyword(s):  
Stock Market ◽  
Investor Sentiment ◽  
German Stock ◽  
The Impact ◽  
German Stock Market

scholarly journals Capital Market Response to COVID-19 Pandemic – A Systematic Review on Stock Volatility and Performance

2021 ◽  
pp. 27-49
Author(s):  
Janga Bahadur Hamal ◽  
Rishi Raj Gautam
Keyword(s):  
Stock Market ◽  
Investor Sentiment ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Stock Volatility ◽  
Government Response ◽  
Stock Market Performance ◽  
Policy Measures ◽  
And Performance ◽  
The Impact

This paper aims to identify the impact of the COVID-19 pandemic on stock market volatility and market return as well as the impact of government response to the COVID-19 pandemic on stock market performance. To analyze the same, the paper has adopted Systematic Literature Review (SLR) approach and conducted a review of 40 journal articles published between between2020 to mid-2021. The paper identified that the short-term impact of the COVID-19 outbreak and government policy measures had a significant and adverse impact on stock market volatility, return and overall performance. In the longer term, the stock markets slowly started to stabilize and revive. This effect on the stock market was also attributed to investor sentiment and thus, in the later stages, targeted government response had a positive effect on boosting investor confidence towards the market.

THE IMPACT OF OIL PRICE SHOCKS ON THE U.S. STOCK MARKET

2009 ◽  
Vol 50 (4) ◽  
pp. 1267-1287 ◽  
Author(s):  
Lutz Kilian ◽  
Cheolbeom Park
Keyword(s):  
Stock Market ◽  
Oil Price ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
The Impact ◽  
The U.S
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