scholarly journals Liquidity Risk and Investors’ Mood: Linking the Financial Market Liquidity to Sentiment Analysis through Twitter in the S&P500 Index

2019 ◽  
Vol 11 (24) ◽  
pp. 7048 ◽  
Author(s):  
Francisco Guijarro ◽  
Ismael Moya-Clemente ◽  
Jawad Saleemi
Keyword(s):  
Financial Markets ◽  
Sentiment Analysis ◽  
Financial Market ◽  
Market Liquidity ◽  
Trading Costs ◽  
Financial Decisions ◽  
Area Of Interest ◽  
Liquidity Measures ◽  
The Impact ◽  
The Relationship

Microblogging services can enrich the information investors use to make financial decisions on the stock markets. As liquidity has immediate consequences for a trader’s movements, this risk is an attractive area of interest for both academics and those who participate in the financial markets. This paper focuses on market liquidity and studies the impact on liquidity and trading costs of the popular Twitter microblogging service. Sentiment analysis extracted from Twitter and different popular liquidity measures were gathered to analyze the relationship between liquidity and investors’ opinions. The results, based on the analysis of the S&P 500 Index, found that the investors’ mood had little influence on the spread of the index.

scholarly journals Market Liquidity and Its Dimensions: Linking the Liquidity Dimensions to Sentiment Analysis through Microblogging Data

2021 ◽  
Vol 14 (9) ◽  
pp. 394
Author(s):  
Francisco Guijarro ◽  
Ismael Moya-Clemente ◽  
Jawad Saleemi
Keyword(s):  
Financial Markets ◽  
Sentiment Analysis ◽  
Trading Volume ◽  
Price Dispersion ◽  
Daily Basis ◽  
Market Liquidity ◽  
Financial Information ◽  
Counterparty Risk ◽  
Trading Costs ◽  
Investor Sentiments

Market liquidity has an immediate impact on the execution of transactions in financial markets. Informed counterparty risk is often priced into market liquidity. This study investigates whether microblogging data, as a non-financial information tool, is priced along with market liquidity dimensions. The analysis is based on the Australian Securities Exchange (ASX), and from the results, we conclude that microblogging content in pessimistic periods has a higher impact on liquidity and its dimensions. On a daily basis, pessimistic investor sentiments lead to higher trading costs, illiquidity, a larger price dispersion and a lower trading volume.

scholarly journals How does liquidity in the financial market affect the real estate market yields?

2019 ◽  
Vol 37 (1) ◽  
pp. 2-19 ◽  
Author(s):  
Kyung-Min Kim ◽  
Geon Kim ◽  
Sotiris Tsolacos
Keyword(s):  
Real Estate ◽  
Financial Markets ◽  
Financial Market ◽  
Commercial Real Estate ◽  
Content Type ◽  
Office Markets ◽  
Office Market ◽  
Excess Liquidity ◽  
The Impact ◽  
The Relationship

PurposeAfter the Global Financial Crisis in 2008, the impact of expanded liquidity in the financial market has drawn attention. The purpose of this paper is to examine the relationship between liquidity in financial markets and office markets across Asian countries. In particular, the research not only examines the effect of normal liquidity on real estate markets, but also the effects of excess liquidity are specifically highlighted.Design/methodology/approachThis paper uses panel estimation utilizing quarterly data from the first quarter of 2007 to the fourth quarter of 2015. Taking both time and location dimensions into account allows for a more precise estimate of the relationship between liquidity and office market’s yields.FindingsPer the empirical outcome, an increasing excess liquidity tends to decelerate the value of office yields in six major Asian office market centers due to the positive effect on commercial real estate value. This effect is also identified by comparing the difference between the level of fitted yields and actual yields.Practical implicationsThe results enhance the understanding of commercial real estate yield determinants. Furthermore, the results can be used to assess the impacts of liquidity on major office markets in Asia.Originality/valueThis paper attempts to uncover the impact of liquidity in financial markets on the office market yields. To better understand the relationship, the concept of excess liquidity is adopted and further exploration of each office market is conducted by comparing the fitted yields, which is computed considering the effects of excess liquidity on yield levels and actual yields.

scholarly journals Transactions Volume, Exchange Direction and Asymmetry of Volatility in Emerging Market: Evidence From Tunisian Stock Exchange

2020 ◽  
Vol 11 (6) ◽  
pp. 318
Author(s):  
Jaber Yasmina
Keyword(s):  
Stock Market ◽  
Financial Market ◽  
Stock Exchange ◽  
Emerging Market ◽  
Explanatory Power ◽  
Trading Activity ◽  
Auto Correlation ◽  
The Asymmetry ◽  
The Impact ◽  
The Relationship

This study is an attempt to explain the relationship between intraday return and volume in Tunisian Stock Market. Indeed, former researches avow that the trading activity have the main explanatory power for volatility. However, most theories measure the activity of transactions through the size of exchange or the number of transactions. Nevertheless, these components are not aware enough of the importance of the direction of exchange when explaining the phenomenon of asymmetry of volatility. In the most of studies, the technique “Augmented Tick Test” (ATT) is employed so as to identify the direction of exchange. Such technique is adapted for the markets directed by orders like the Tunisian financial market. Again, this paper shows that the impact of the direction of exchange differs according to the market trend. In other words, if the returns are positive, the transactions of sale (of purchase) generate a decrease (increase) of volatility; whereas, they induce an increase (drop) of volatility if returns are negative. This result stresses the significance of exchange direction in explaning the asymmetry of volatility. Moreover, throughout this study, one may affirm that “Herding trades” are at the origin of the increase of volatility, while the “Contrarian trades” reduce volatility. Similarly, the identification of the direction of exchange enables us to affirm that the transactions of the initiates are characterized by the absence of returns auto- correlation; whereas, the transactions carried out by uninformed investors present an auto- correlation of the returns. In fact, the sign of this correlation varies according to transaction direction.

scholarly journals Monetary Policy and Liquidity of Vietnam’s Stock Market

2016 ◽  
Vol 23 (02) ◽  
pp. 02-21
Author(s):  
Ly Tran Thi Hai
Keyword(s):  
Time Series ◽  
Monetary Policy ◽  
Stock Market ◽  
Money Supply ◽  
Industrial Production ◽  
Market Liquidity ◽  
Var Model ◽  
Market Returns ◽  
Liquidity Measures ◽  
The Impact

This study investigates the impact of monetary policy on liquidity of Vietnam’s stock market from September 2007 to November 2014. Time series of liquidity are determined by monthly liquidity data for 643 enterprises in the surveyed period. Two variables of the monetary policy, including growth in money supply and interbank rate, are employed in VAR model along with four different measures of market liquidity. The results show that unexpected variance in the two monetary policy variables has no significant impact on the market liquidity, which, in turn, may be improved by the positive shocks of market returns, inflation, and growth in industrial production. Market variance does produce certain effects, but discrepancies occur in the signs of various liquidity measures.

Trust and Household Portfolios

2021 ◽  
pp. 78-97
Author(s):  
Diego Lubian
Keyword(s):  
Financial Markets ◽  
Empirical Evidence ◽  
Financial Literacy ◽  
Risky Assets ◽  
Financial Decisions ◽  
Portfolio Decisions ◽  
Financial Decision ◽  
Financial Portfolio ◽  
Socio Demographic Factors ◽  
The Relationship

This article provides empirical evidence on the existence and the extent of the influence of trust in financial decisions using individual data on Italian households from the Survey on Household Income and Wealth, 2010. This article studies the relationship between, trust in people, trust in banks and more detailed previously unexplored dimensions of trust, and household financial portfolio decisions. The article provides empirical evidence that trust in people and trust in banks affect both participation in financial markets, the share of risky assets and the diversification of the financial portfolio, controlling socio-demographic factors, risk aversion, and financial literacy as well. The article finds that trust is important for individuals with a lower level of education who have limited possibilities to acquire and process information on financial markets need to rely in trustworthy relationship to define their financial portfolio. Further, we present evidence that the main channel by which trust affects financial decision making and determines too little participation, a lower share of risky assets in the financial wealth and poorly diversified portfolios is trust in family and friends.

scholarly journals Financial Development and Tax Revenue: How Catalytic Are Political Development and Corruption?

2018 ◽  
Vol 10 (8) ◽  
pp. 92 ◽  
Author(s):  
John Bosco Nnyanzi ◽  
John Mayanja Bbale ◽  
Richard Sendi
Keyword(s):  
Financial Markets ◽  
Financial Development ◽  
Financial Market ◽  
Financial Institutions ◽  
Low Income ◽  
Political Development ◽  
Tax Revenue ◽  
Tax Revenues ◽  
The Impact ◽  
Cent Change

Increasing domestic revenue mobilization remains a challenge for many governments, particularly in low-income countries. Using a sample of East African countries, the study sets off to investigate the impact of financial development from a multi-dimensional perspective on tax revenues for the period 1990 to 2014, and how political development and the control of corruption would enhance the observed nexus. The dynamic panel results from the system GMM estimation approach indicate a significant role of financial development overall and the financial institutions and financial markets in particular. A disaggregation of the duo suggests that it is the depth of financial institutions that greatly matters for tax revenue, with a one per cent change expected to yield about 0.26 per cent change in tax collections. It is then followed by their level of accessibility, financial market depth and efficiency. We fail to find significant evidence in support of financial market access and financial institutions efficiency although the possibility for the latter seems indismissible. Further evidence points to the catalytic nature of a good institutional and political environment in pursuit of higher tax-GDP ratio via financial development. Policies to promote the depth and accessibility of financial institutions as well the depth and efficiency of financial markets in East Africa alongside well-focused anti-corruption programs and democratic governance are likely to yield better fiscal outcomes in terms of domestic tax revenues critically needed to achieve the United Nations Sustainable Development Goals. We also confirm the positive role played by the lagged tax revenue, per capita GDP, trade openness, debt-to-GDP ratio and population density in the tax effort.

scholarly journals On the Asymmetries of Sovereign Credit Rating Announcements and Financial Market Development in the European Region

2019 ◽  
Vol 11 (23) ◽  
pp. 6636 ◽  
Author(s):  
Chunling Li ◽  
Khansa Pervaiz ◽  
Muhammad Asif Khan ◽  
Faheem Ur Rehman ◽  
Judit Oláh
Keyword(s):  
Financial Markets ◽  
Financial Market ◽  
Credit Rating ◽  
Market Development ◽  
European Region ◽  
Short Term ◽  
Sovereign Credit ◽  
Financial Market Development ◽  
The Impact ◽  
Sovereign Credit Rating

In modeling the impact of sovereign credit rating (CR) on financial markets, a considerable amount of the literature to date has been devoted to examining the short-term impact of CR on financial markets via an event-study methodology. The argument has been established that financial markets are sensitive to CR announcements, and market reactions to such announcements (both upgrading and degrading) are not the same. Using the framework of an autoregressive distributed lag setting, the present study attempted to empirically test the linear and non-linear impacts of CR on financial market development (FMD) in the European region. Nonlinear specification is capable to capture asymmetries (upgrades and downgrades) in the estimation process, which have not been considered to date in financial market literature. Overall findings identified long-term asymmetries, while there was little evidence supporting the existence of short-term asymmetries. Thus, the present study has extended the financial market literature on the subject of the asymmetrical impact of a sovereign CR on European FMD and provides useful input for policy formation taking into account these nonlinearities. Policies solely based upon linear models may be misleading and detrimental.

scholarly journals Financial Mismatch, Assets Specificity and Capital Structure

2019 ◽  
Vol 11 (2) ◽  
pp. 236
Author(s):  
Yanwu Li
Keyword(s):  
Capital Structure ◽  
Financial Market ◽  
Stock Exchange ◽  
Governance Structure ◽  
Debt Financing ◽  
Asset Specificity ◽  
Private Companies ◽  
Market Governance ◽  
The Impact ◽  
The Relationship

At present, the problem of financial mismatch poses great challenge to China’s financial market. Financial mismatch blurs the market governance structure of debt financing, thus distorting the relationship between asset specificity and capital structure. This paper investigates companies listed on the A-share of Shanghai and Shenzhen Stock Exchange from 2012 to 2017. It tests the existence of financial mismatch and the impact of financial mismatch on asset specificity and capital structure. Empirical results show that the impact of financial mismatch on the relationship between asset specificity and capital structure of sample companies exhibits no differences in ownership. Both state-owned listed companies and private companies face the same degree of financial mismatch issues, which leads to changes in the property-specific governance structure of assets, and asset specificity is positively related to capital structure.

scholarly journals The Asymmetric Effect of Panic Index on Cryptocurrencies

2021 ◽  
Vol 7 ◽  
Author(s):  
Necmiye Serap Vurur
Keyword(s):  
Financial Markets ◽  
Money Market ◽  
Financial Assets ◽  
Causality Analysis ◽  
Asymmetric Effect ◽  
Causality Test ◽  
Causality Tests ◽  
The Impact ◽  
Asymmetric Causality ◽  
The Relationship

The Covid 19 pandemic is the first major crisis facing cryptocurrencies. Therefore, the reaction of the cryptocurrency markets is important. News about epidemics affects investors' decisions. Panic index (PIndex) is an index created from news about the Covid 19 outbreak. In the study, it is used to measure the impact of decisions on the crypto money market. As cryptocurrencies, Bitcoin (BTC), Etherium (ETH), and Ripple (XRP), which have the highest transaction volume in the crypto money market, are included in the analysis. The relationship between Panic Index and the three major cryptocurrencies with the largest share in the cryptocurrency market was investigated by Ardl and Hatemi-J asymmetric causality test. Traditional causality tests acknowledge that the effects of positive and negative changes are the same. However, there may be asymmetric information and different investor behaviors in financial markets. In the study, Hatemi-J [1] Asymmetric Causality Test was conducted to examine the asymmetric relationship and symmetric relationship between Pindex and cryptocurrencies by separating them into positive and negative shocks. According to the results of the Hatemi-J causality analysis, positive shocks in the panic index are the cause of negative shocks for all cryptocurrencies. In other words, increases in the panic index are caused to fall the value of Bitcoin, Ethereum, and Ripple cryptocurrencies decrease. The results show that cryptocurrencies were not a safe haven for the investor during the Covid 19 period, as they acted similarly to other financial assets.

scholarly journals Impact of Terrorism on Financial Markets: The Case of Turkey

2016 ◽  
Author(s):  
Neşe Algan ◽  
Mehmet Balcılar ◽  
Harun Bal ◽  
Müge Manga
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Financial Market ◽  
Terrorist Attacks ◽  
Market Returns ◽  
Stock Market Returns ◽  
Stock Indices ◽  
Daily Data ◽  
The Impact

This study investigates the impact of terrorism on the Turkish financial market using daily data from Jan 4, 1988 to May 24, 2016. In order to measure the impacts of terrorist attacks in Turkey we test for causality from terrorism index to returns and volatilities of 3 aggregate and 16 sector level stock indices using a recently developed nonparametric causality-in-test test of Balcilar et al. (2016). The results obtained indicate that there is no causality from terrorist activities to stock market returns (1st moment). However, we find significant causality at various quantiles from terrorist activates to volatility (2nd moment) of tourism, food and basic materials sectors.

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