scholarly journals Liquidity and the Impact of Information Shocks: A Macroeconomics Course Application

2021 ◽  
pp. 51-69
Author(s):  
Deniz Ozenbas ◽  
Michael S. Pagano ◽  
Robert A. Schwartz ◽  
Bruce W. Weber
Keyword(s):  
Financial Markets ◽  
Stock Prices ◽  
Macroeconomic News ◽  
The Impact

AbstractThis chapter explains how “information shocks” can affect the liquidity of financial markets and stock prices. The focus is on unexpected macroeconomic news as a key type of information shock. The final portion of the chapter discusses some realworld events that demonstrate the effects of these shocks on financial markets and how investors react to unexpected macroeconomic news items.

scholarly journals Macroeconomic News and Stock Returns in the United States and Germany

2006 ◽  
Vol 7 (2) ◽  
pp. 189-210 ◽  
Author(s):  
Norbert Funke ◽  
Akimi Matsuda
Keyword(s):  
United States ◽  
Interest Rates ◽  
Stock Returns ◽  
Stock Prices ◽  
The United States ◽  
Good News ◽  
Macroeconomic News ◽  
Hourly Data ◽  
Different Types ◽  
The Impact

Abstract Using daily data for the January 1997 to June 2002 period, we analyze similarities and differences in the impact of macroeconomic news on stock returns in the United States and Germany. We consider 27 different types of news for the United States and 12 different types of news for Germany. For the United States, we present evidence for asymmetric reactions of stock prices to news. In a boom (recession) period, bad (good) news on GDP growth and unemployment or lower (higher) than expected interest rates may be good news for stock prices. In the period under consideration there is little evidence for asymmetric effects in Germany. However, in the case of Germany, international news appears at least as important as domestic news. There is no evidence that US stock prices are influenced by German news. The analysis of bi-hourly data for Germany confirms these results.

scholarly journals THE GLOBAL ECONOMIC IMPACT OF THE COVID-19 OUTBREAK

2020 ◽  
Author(s):  
Khakim Gayurov ◽  
◽  
Munira Toshmatova ◽  
Keyword(s):  
Financial Markets ◽  
Stock Prices ◽  
Global Economy ◽  
World Health ◽  
Bond Yields ◽  
Chinese City ◽  
The World ◽  
Health Organization ◽  
The Impact ◽  
Do So

According to the World Health Organization, the new coronavirus, which first appeared in the Chinese city of Wuhan in December last year, infected more than 110,000 people in at least 110 countries and territories of the world. The virus outbreak has become one of the most serious threats to the global economy and financial markets. Large institutions and banks have reduced their forecasts for the global economy, and the Organization for Economic Co-operation and Development is one of the last countries to do so. Meanwhile, concerns about the impact of coronavirus on the global economy have stirred markets around the world: stock prices and bond yields have plummeted. The continued spread of the new coronavirus has become one of the biggest threats to the global economy and financial markets.

scholarly journals The relationship between corporate governance and stock prices in the GCC financial markets

2020 ◽  
Vol 17 (2) ◽  
pp. 57-64 ◽  
Author(s):  
Muneer Mohammed Saeed Al Mubarak
Keyword(s):  
Corporate Governance ◽  
Financial Markets ◽  
Stock Prices ◽  
Financial Management ◽  
Stock Price ◽  
Financial Statements ◽  
Management Literature ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

The study investigates the impact of corporate governance characteristics on stock prices in the Gulf Cooperation Council (GCC) financial markets. It covers the financial markets of four (GCC) countries with a sample of 237 firms for the period of 2013-2017. The study was based on the GCC financial markets’ database, financial statements and ancillary notes which include corporate governance, stock prices by Bloomberg and share location. A multi-regression model was used. The independent variables were four corporate governance characteristics and the dependent variable was the stock price, in addition to using a number of control variables. A positive relationship was found between corporate governance and return on stock. The Gulf companies that have increased levels of corporate governance have increased returns to their shares, indicating that these companies are working to reduce the agency’s cost and eliminate the conflict between shareholders and directors. Few studies have focused on the relationship of corporate governance characteristics on stock prices in the GCC financial markets. The existing study contributes to the financial management literature by providing further evidence on such a relationship, especially in emerging countries. It serves as a guide to investors looking for the best investments in reliable companies in the region

scholarly journals Price response functions and spread impact in correlated financial markets

2021 ◽  
Vol 94 (4) ◽  
Author(s):  
Juan C. Henao-Londono ◽  
Sebastian M. Krause ◽  
Thomas Guhr
Keyword(s):  
Financial Markets ◽  
Stock Prices ◽  
Signal Strength ◽  
Price Formation ◽  
Response Functions ◽  
Trading Costs ◽  
Research Focus ◽  
Data Set ◽  
Price Response ◽  
The Impact

AbstractRecent research on the response of stock prices to trading activity revealed long-lasting effects, even across stocks of different companies. These results imply non-Markovian effects in price formation and when trading many stocks at the same time, in particular trading costs and price correlations. How the price response is measured depends on data set and research focus. However, it is important to clarify how the details of the price response definition modify the results. Here, we evaluate different price response implementations for the Trades and Quotes (TAQ) data set from the NASDAQ stock market and find that the results are qualitatively the same for two different definitions of time scale, but the response can vary by up to a factor of two. Furthermore, we show the key importance of the order between trade signs and returns, displaying the changes in the signal strength. Moreover, we confirm the dominating contribution of immediate price response directly after a trade, as we find that delayed responses are suppressed. Finally, we test the impact of the spread in the price response, detecting that large spreads have stronger impact.

scholarly journals Effect of covid-19 on financial markets: Evidence from Pakistan, India and Italy

2021 ◽  
Vol 6 (2) ◽  
pp. 1-10
Author(s):  
Muhammad Sohail Khalil ◽  
Usman Ullah
Keyword(s):  
Financial Markets ◽  
Stock Prices ◽  
Economic Status ◽  
Efficient Market Hypothesis ◽  
Investment Behavior ◽  
The Novel ◽  
Significant Relation ◽  
Simple Regression Model ◽  
The Impact ◽  
Simple Regression

The novel corona virus called as covid-19 spread worldwide affecting the health and economic status of countries all over the globe. The major aim of this study was to analyze the stock prices during the covid-19 pandemic. The sample of the study is taken from 15 May to 15 June 2020, stock prices as well as the covid-19 confirmed cases of three countries Pakistan, India and Italy. This study has both practical and theoretical implications. Investment behavior, efficient market hypothesis and the prediction of stock prices during the anticipated 2nd wave of covid-19 are some of the main points this study has covered. Further study is needed to examine pre, mid and post lockdown impact on stock prices. This study applied simple regression model to examine the impact of covid-19 on financial markets from 15 May to 15 June 2020 in Pakistan, India & Italy. The study findings were intriguing. The study findings indicate that there is positive significant relation among these variables (Positive cases and stock prices) on that period of time (15 May to 15 June 2020 in Pakistan, India & Italy). This research suggests that covid-19 confirmed positive cases had significant impact on financial markets during 15 May to 15 June 2020 on these three stock indices of Pakistan, India and Italy (KSE-100, SENSEX & FTSE Italia).

The impact of COVID-19 outbreak on Borsa Istanbul: an event study method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yunus Karaömer ◽  
Songül Kakilli Acaravcı
Keyword(s):  
Financial Markets ◽  
Event Study ◽  
Stock Prices ◽  
Significant Contribution ◽  
Event Data ◽  
Content Type ◽  
Unusual Event ◽  
Event Study Method ◽  
Research Gap ◽  
The Impact

PurposeThis study aims to research how the outbreak of coronavirus disease 2019 (COVID-19) impacts the selected sector price indices in Borsa Istanbul (BIST), Turkey.Design/methodology/approachThe authors use the event study method because it is a useful method as stock prices and market instantly reflect the effect of such an unusual event. Data are retrieved from the https://www.investing.com/.FindingsThe authors find that selected sectors are impacted by the COVID-19 outbreak. The banking and transportation sectors, on the announcement of first death, were impacted negatively, while the telecommunication and food –beverage sectors were impacted positively. The transportation and banking sectors experience an obvious downturn after the spread of COVID-19, while the food–beverage and telecommunication sectors experience an obvious upturn after the spread of COVID-19. Besides, the most adversely impacted sector is banking.Originality/valueThis study bridges the research gap and adds significant insights to the existing literature. The main contribution of this study to the existing literature is the unexpected outbreak impacts on financial markets, especially on BIST. It is also expected that this study will make a significant contribution to analysts, researchers and policymakers.

The causality link between political risk and stock prices

2019 ◽  
Vol 11 (3) ◽  
pp. 338-367 ◽  
Author(s):  
Huiqiang Wang
Keyword(s):  
Financial Markets ◽  
Risk Premium ◽  
Stock Prices ◽  
Political Risk ◽  
Data Driven ◽  
Synthetic Control ◽  
Political Uncertainty ◽  
Content Type ◽  
Data Driven Approach ◽  
The Impact

Purpose Prior studies have paid close attention to the impact of political risk on financial markets. Following this strand of literature, this paper aims to focus on the causality link between political shocks and their impacts on emerging stock markets. Design/methodology/approach This paper highlights an innovative counterfactual model for political risk assessment. Based on a natural experiment, i.e. the Taiwan Strait Crisis in 1995-1996, this study utilizes one data-driven approach, e.g. the synthetic control methods (SCMs), to estimate causal impact of this political shock on Taiwan’s stock market. Findings Major findings in this study are consistent with existing literature on the price of political risk, e.g. political uncertainty commands a risk premium. The SCM estimations suggest that Taiwan’s stock prices dramatically underperformed its newly industrialized peers and other developed markets during the crisis. The SCM results are statistically significant and robust to various cross-validation tests. Research limitations/implications Findings in this study indicate that political risks could generate enormous impacts on emerging financial markets. In particular, political uncertainty following new geopolitical dynamics requires proper identification and assessment. Originality/value To the author’s knowledge, this paper is the first rigorous counterfactual study to the causality relationship between political uncertainty and stock prices in emerging markets. This paper is distinct from previous studies in applying a data-driven approach to combine the features of learning from others (cross-sectional) and learning from the past (time series).

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