scholarly journals THE IMPACT OF TOURISM UNCERTAINTY ON AIRLINE STOCK MARKETS IN KOREA: A QUANTILE REGRESSION APPROACH

2021 ◽  
Vol 22 (4) ◽  
pp. 923-939
Author(s):  
Ji-Hong Jeon
Keyword(s):  
Quantile Regression ◽  
Stock Prices ◽  
Stock Markets ◽  
Disease Outbreaks ◽  
Terrorist Attacks ◽  
Policy Uncertainty ◽  
Regression Approach ◽  
Using Data ◽  
The Impact ◽  
Global Travel

This study explores the impact of tourism uncertainty, including economic policy uncertainty (EPU) and travel crises arising from issues such as terrorism and disease outbreaks, on airline stock markets in Korea. Airline stock prices are particularly affected by tourism uncertainty. Using data from 2001–2018 and events influencing tourism uncertainty such as the 9/11 terrorist attacks and severe acute respiratory syndrome, quantile regression approach reveals how EPU influences airline stock prices in Korea during three market phases – bearish, normal, and bullish. EPU and travel crises negatively affect airline stock prices in Korea. Specifically, we document that higher EPU and more global travel crises lead to deeper reductions in stock prices in bullish markets. These results provide implications and insights for airline investors, stakeholders, and organizations concerned about the influence of tourism uncertainty on airline stock prices in Korea.

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 Impact of Education on Household Income in Rural Vietnam

2020 ◽  
Vol 8 (1) ◽  
pp. 11 ◽  
Author(s):  
Hung Van Vu
Keyword(s):  
Quantile Regression ◽  
Household Income ◽  
Living Standard ◽  
Regression Analyses ◽  
Poor Households ◽  
Quantile Regression Analysis ◽  
Research Findings ◽  
Using Data ◽  
The Impact ◽  
Positive Effect

Using data from the 2018 Vietnam Household Living Standard Survey, our study investigates the impact of education on household income in rural Vietnam. Both mean and quantile regression analyses were employed to analyze the impact of education. We found that education has a positive effect on the household income after controlling for various factors in the models. However, quantile regression analysis reveals that the effect of schooling years increases with quantiles, suggesting that education bring higher returns for richer households. We also found that households with the heads having higher qualifications or vocational education tend to earn higher income levels. Combined together, these findings imply that while education was found to increase household income, it increases income inequality in rural Vietnam. Our research findings suggest that improving the access of poor households to better education is expected to increase their income and reduce inequality in rural Vietnam.

scholarly journals Determinants of household income of micro-finance women participants: a quantile regression approach

2020 ◽  
Vol 1 (1) ◽  
pp. 63-74
Author(s):  
Jarita Duasa ◽  
Nur Hidayah Zainal
Keyword(s):  
Quantile Regression ◽  
Capita Income ◽  
Per Capita Income ◽  
Content Type ◽  
Income Distributions ◽  
Asset Value ◽  
Regression Approach ◽  
Convenience Sampling ◽  
Per Capita ◽  
The Impact

Purpose The purpose of this study is to adopt quantile regression to investigate the impact of several factors on per capita income of participants of micro-financing scheme (Amanah Ikhtiar Malaysia [AIM]), who are mostly women at different point on the income distributions. Design/methodology/approach This study uses data collected from a survey on respondents who are the participants of AIM program using convenience sampling in Perak and Kelantan. Findings The empirical results show that the value of asset, value of loan, household size, ratio of spending to income and dummy state are consistently giving similar impacts on per capita income of participants at different quantiles. Originality/value However, age negatively and significantly affects per capita income only at middle and lower quantiles but not at higher quantile of per capita income.

Herding behavior in Islamic GCC stock market: a daily analysis

2018 ◽  
Vol 11 (2) ◽  
pp. 182-193 ◽  
Author(s):  
Mustapha Chaffai ◽  
Imed Medhioub
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Financial Markets ◽  
Stock Returns ◽  
Stock Markets ◽  
Content Type ◽  
Quantile Regression Analysis ◽  
Herd Behaviour ◽  
The Impact ◽  
Quantile Regression Method

Purpose This paper aims to examine the presence of herd behaviour in the Islamic Gulf Cooperation Council (GCC) stock markets following the methodology given by Chiang and Zheng (2010). Generalized auto regressive conditional heteroskedasticity (GARCH)-type models and quantile regression analysis are used and applied to daily data ranging from 3 January 2010 to 28 July 2016. Results show evidence of herd behaviour in the GCC stock markets. When the data are divided into down and up market periods, herd information is found to be statistically significant and negative during upward market periods only. These results are similar to those reported in some emerging markets such as China, Japan and Hong Kong, where stock returns perform more similarly during down market periods and differently during rising markets. Design/methodology/approach The authors present a brief literature on herd behaviour. Second, the authors provide some specificity of the GCC Islamic stock market, followed by the presentation of the methodology and the data, results and their interpretation. Findings The authors take into account the difference existing in market conditions and find evidence of herding behaviour during rising markets only for GCC markets. This result was confirmed after using the quantile regression method, as evidence of herding was observed only in highly extreme periods. Stock returns perform more similarly when market is down in Islamic GCC stock market. Research limitations/implications The research limitation consists in the fact that this work can be extended to compare the GCC stock markets with other markets in Asia such as Malaysia and Indonesia. Practical implications The principal implication consists in the fact that herding behaviour is limited in the GCC markets and Islamic finance can have an important contribution to moderate the behaviour in the financial markets. Social implications The work focusses on the role of ethics in the financial markets and their ability to reduce the impact of behavioural biases. Originality/value The paper studies the behaviour of investors in the Islamic financial markets and gives an idea about the importance of the behaviour in this particular market regarding its characteristics.

scholarly journals Do Company Related Newspaper Articles Have an Impact on the Share Prices? The Case of the German Market

2019 ◽  
Vol 11 (3) ◽  
pp. 32
Author(s):  
Jyoti Gupta ◽  
Benjamin Graubner
Keyword(s):  
Stock Prices ◽  
Data Set ◽  
German Market ◽  
Share Prices ◽  
Thomson Reuters ◽  
New Information ◽  
Java Program ◽  
Using Data ◽  
The Impact ◽  
Newspaper Articles

The paper looks at the impact of information on stock prices within the context of the German Market. Using data set from the Thomson Reuters, a new platform using a self-written Java Program, between the time period of 27 August and 29 September 2013, we analysed the impact of information on stock prices in the German Market. We developed an Information Based Return Model (IBRM) to analyse how information drive stock prices. We counted certain words within newspaper articles to understand their meaning. We analyse the impact of those word-clusters on different trading intervals. Our Information Based return Model shows that stock prices anticipate news from the non-trading time within the first minute of trading. We also analysed the time drifts between news release and personal reception. Our results show that the German Market anticipates new information as effectively as the US Market. 

scholarly journals The Economic Policy Uncertainty in China, the United States, and Europe: The Empirical Impact on Chinese Stock Markets

2019 ◽  
Vol 6 (5) ◽  
pp. 131
Author(s):  
Wannakomol Supachart
Keyword(s):  
United States ◽  
Economic Policy ◽  
Stock Markets ◽  
The United States ◽  
Policy Uncertainty ◽  
Cross Sectional ◽  
Economic Policy Uncertainty ◽  
Chinese Markets ◽  
Chinese Stock Markets ◽  
The Impact

The objective of this paper is to analyze the impact of economic policy uncertainty (EPU) in China, the United States, and Europe, which are influent to the Chinese stock markets. We employed Vector Autoregression (VAR) model with relative variables including the EPU indices and three Chinese stock markers indices to display the impulse responses of the markets to the EPUs. Our results indicate that the Chinese stock markets negatively respond to their domestic economic policy uncertainty in the first, second, and third month after the EPU shocks. Moreover, we also found the negative responses of the Chinese markets to the EPU from the United States that require five months to rebalance the markets. However, the Chinese markets seem positively respond to the shocks of the economic policy uncertainty in Europe and also took five months to archive market rebalancing. The significant correlation of the economic policy uncertainty between China and the United States resulted in cross-sectional correlation estimates among the EPU indices. Furthermore, there is the reasonable interesting result to claim that the economic policy uncertainty in China is statistically influenced by their own trade and fiscal policy uncertainty that may be considered to be related with China-US trade war in our conclusion.

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