The Impact of Government Intervention in Banks on Corporate Borrowers’ Stock Returns

2013 ◽  
Vol 48 (5) ◽  
pp. 1635-1662 ◽  
Author(s):  
Lars Norden ◽  
Peter Roosenboom ◽  
Teng Wang
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Stock Returns ◽  
Banking Sector ◽  
Positive Impact ◽  
Support Programs ◽  
Government Interventions ◽  
Stock Market Performance ◽  
The Impact ◽  
The U.S

AbstractWe investigate whether and how government interventions in the U.S. banking sector influence the stock market performance of corporate borrowers during the financial crisis of 2007–2009. We measure firms’ exposures to government interventions with an intervention score that is based on combined information on the firms’ structure of bank relationships and their banks’ participation in government capital support programs. We find that government capital infusions in banks have a significantly positive impact on borrowing firms’ stock returns. The effect is more pronounced for riskier and bank-dependent firms and for those that borrow from banks that are less capitalized and smaller.

RESPONSE OF STOCK MARKET DURING COVID-19 AND 2008 FINANCIAL CRISIS: A COMPARATIVE EVIDENCE FROM BRICS NATIONS

2021 ◽  
pp. 1-24
Author(s):  
SANJEEV KUMAR ◽  
JASPREET KAUR ◽  
MOSAB I. TABASH ◽  
DANG K. TRAN ◽  
RAJ S DHANKAR
Keyword(s):  
South Africa ◽  
Financial Crisis ◽  
Stock Market ◽  
Stock Returns ◽  
Stock Markets ◽  
2008 Financial Crisis ◽  
First Case ◽  
Egarch Model ◽  
The 2008 Financial Crisis ◽  
The Impact

This study attempts to examine the response of stock markets amid the COVID-19 pandemic on prominent stock markets of the BRICS nation and compare it with the 2008 financial crisis by employing the GARCH and EGARCH model. First, average and variance of stock returns are tested for differences before and after the pandemic, t-test and F-test were applied. Further, OLS regression was applied to study the impact of COVID-19 on the standard deviation of returns using daily data of total cases, total deaths, and returns of the indices from the date on which the first case was reported till June 2020. Second, GARCH and EGARCH models are employed to compare the impact of COVID-19 and the 2008 financial crisis on the stock market volatility by using the data of respective stock indices for the period 2005–2020. The results suggest that the increasing number of COVID-19 cases and reported death cases hurt stock markets of the five countries except for South Africa in the latter case. The findings of the GARCH and EGARCH model indicate that for India and Russia, the financial crisis of 2008 has caused more stock volatility whereas stock markets of China, Brazil, and South Africa have been more volatile during the COVID-19 pandemic. The study has practical implications for investors, portfolio managers, institutional investors, regulatory institutions, and policymakers as it provides an understanding of stock market behavior in response to a major global crisis and helps them in taking decisions considering the risk of these events.

scholarly journals Pandemic and Indonesia Stock Market Performance

2021 ◽  
Vol 2 (4) ◽  
pp. 254-262
Author(s):  
Intan Surya Lesmana ◽  
Siti Saadah
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Market Performance ◽  
Government Policies ◽  
Likelihood Method ◽  
Symmetric Model ◽  
Asymmetric Model ◽  
Government Response ◽  
Stock Market Performance ◽  
The Impact

This study aims to analyze the impact of the COVID-19 pandemic on Indonesia’s stock market performance. Considering the characteristics of daily stock return data that shows the characteristics of volatility clustering, the analytical method used is to develop a heteroscedastic model specification whose parameters are estimated using the maximum likelihood method. Based on data from March 2020 to January 2021, this study finds that the Exponential-GARCH asymmetric model is the best model compared to the Standard-GARCH symmetric model or the asymmetric Threshold-GARCH model. The inference analysis conducted on the Exponential-GARCH asymmetric model in this study shows that the stock market's performance that is significantly affected by this pandemic is the volatility of its returns. Stock price volatility is one of the important variables in stock market performance. This study produces empirical findings that government policies on social restrictions contribute significantly to suppressing stock market volatility. As for government policies in mitigating the risk of the spread of the epidemic, in this study, it is measured through a stringency index. This index was released by the Oxford COVID-19 Government Response Tracker (OxCGRT) which monitors the government's response to the coronavirus in 160 countries and is a parameter that evaluates the policies taken by a country's government based on nine metrics. This index does not measure the effectiveness of a country's government response, but only the level of tightness. However, the results of the tests carried out in this study did not find a significant impact of pandemic indicators, the number of cases, and the number of daily deaths related to COVID-19 on stock returns.

scholarly journals The Impact of the COVID-19 Pandemic on the U.S. Economy: Evidence from the Stock Market

2020 ◽  
Vol 13 (10) ◽  
pp. 233
Author(s):  
Willem Thorbecke
Keyword(s):  
Real Estate ◽  
Stock Market ◽  
Stock Returns ◽  
Electrical Equipment ◽  
Production Equipment ◽  
Macroeconomic Factors ◽  
Specific Factors ◽  
The Impact ◽  
Macroeconomic Environment ◽  
The U.S

The coronavirus crisis has damaged the U.S. economy. This paper uses the stock returns of 125 sectors to investigate its impact. It decomposes returns into components driven by sector-specific factors and by macroeconomic factors. Idiosyncratic factors harmed industries such as airlines, aerospace, real estate, tourism, oil, brewers, retail apparel, and funerals. There are thus large swaths of the economy whose recovery depends not on the macroeconomic environment but on controlling the pandemic. Macroeconomic factors generated losses in industries such as production equipment, machinery, and electronic and electrical equipment. Thus, reviving capital goods spending requires not just an end to the pandemic but also a macroeconomic recovery.

scholarly journals Stock Market Reforms and Stock Market Performance

2021 ◽  
Vol 12 (2) ◽  
pp. 202
Author(s):  
Karthigai Prakasam Chellaswamy ◽  
Natchimuthu N ◽  
Muhammadriyaj Faniband
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Positive Impact ◽  
Market Performance ◽  
Market Reforms ◽  
Disclosure Requirements ◽  
Stock Market Performance ◽  
Event Study Method ◽  
Unfair Trade ◽  
The Impact

This paper analyses the impact of stock market reforms on the stock market performance in India using regression based event-study method. We consider nine stock market reforms introduced from 1998 to 2018. We find that the impact of stock market reforms on Nifty trading volume and Nifty return is different. This paper documents that the impact of the additional volatility measures, T+3 and T+2 settlement cycles, and margin provisions for intra-day crystallized losses reforms show a positive impact on trading volume post-reform. In contrast, internet trading, prohibition of fraudulent and unfair trade practices, delisting of equity shares, substantial acquisition of shares and takeovers listing obligations and disclosure requirements reforms decrease the trading volume post-reform. Our results of Nifty return reveal that the additional volatility measures, the T+2 settlement cycle, the prohibition of fraudulent and unfair trade practices, substantial acquisition of shares and takeovers, listing obligations and disclosure requirements have a significant and positive impact on return post-reform. It is evident that the impact of all nine stock market reforms is insignificant on Nifty return.

scholarly journals THE IMPACT OF INTRADAY MOMENTUM ON STOCK RETURNS: EVIDENCE FROM S&P500 AND CSI300

2021 ◽  
Vol 24 (4) ◽  
pp. 124-141
Author(s):  
Saddam Hossain ◽  
Beáta Gavurová ◽  
Xianghui Yuan ◽  
Morshadul Hasan ◽  
Judit Oláh
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Negative Impact ◽  
Positive Impact ◽  
Empirical Method ◽  
Monday Morning ◽  
Strategy Analysis ◽  
High Level ◽  
The Impact

This paper analyzes the statistical impact of COVID-19 on the S&P500 and the CSI300 intraday momentum. This study employs an empirical method, that is, the intraday momentum method used in this research. Also, the predictability of timing conditional strategies is also used here to predict the intraday momentum of stock returns. In addition, this study aims to estimate and forecast the coefficients in the stock market pandemic crisis through a robust standard error approach. The empirical findings indicate that the intraday market behavior an unusual balanced; the volatility and trading volume imbalance and the return trends are losing overwhelmingly. The consequence is that the first half-hour return will forecast the last half-hour return of the S&P500, but during the pandemic shock, the last half-hour of both stock markets will not have a significant impact on intraday momentum. Additionally, market timing strategy analysis is a significant factor in the stock market because it shows the perfect trading time, decides investment opportunities and which stocks will perform well on this day. Besides, we also found that when the volatility and volume of the S&P500 are both at a high level, the first half-hour has been a positive impact, while at the low level, the CSI300 has a negative impact on the last half-hour. In addition, this shows that the optimistic effect and positive outlook of the stockholders for the S&P500 is in the first half-hours after weekend on Monday morning because market open during the weekend holiday, and the mentality of every stockholder’s indicate the positive impression of the stock market.

Comparing the competition of Malaysia Islamic and conventional banks

2017 ◽  
Vol 8 (1) ◽  
pp. 23-40 ◽  
Author(s):  
Muhamad Azhari Wahid
Keyword(s):  
Financial Crisis ◽  
Banking Sector ◽  
Robust Regression ◽  
Global Financial Crisis ◽  
Positive Impact ◽  
Ordinary Least Squares ◽  
Islamic Banks ◽  
Content Type ◽  
Conventional Banks ◽  
The Impact

Purpose This study aims to analyse three main questions within the Malaysian banking system: Are Islamic banks more competitive than conventional banks? What are the levels of competition for Islamic and conventional banking sectors pre, during and post the 2007-2009 global financial crisis? Does penetration of Islamic banks affect the competitive structure of conventional banks? Design/methodology/approach In measuring a bank competition, the author estimates the Panzar–Rosse H-statistic (PRH) method on 17 Islamic and 21 conventional banks in Malaysia over the period of 2004-2013. This is then followed by ordinary least squares (OLS) robust regression analysis to control Islamic banks’ penetration, bank-specific and macroeconomic factors. Findings Results from the PRH method (total revenue) suggest that Malaysian Islamic banks are relatively more competitive than their conventional counterparts. Furthermore, the author observes that the level of competition for both Malaysian Islamic and conventional banks increased tremendously during the 2007-2009 global financial crisis. This suggests the impact of the crisis on the level of competition for both banking systems. Finally, the OLS robust regression suggests that Islamic banks’ penetration has a significantly positive impact on the level of competition for conventional banks. The PRH estimation using total interest income indicates similar results, suggesting the robustness of these results. Practical implications This study reveals whether Islamic banks’ penetration is able to increase the level of competition within the conventional banking sector. Knowledge on this is important to the policymaker. Originality/value To the best of the author’s knowledge, this is the first study using the PRH method in comparing the level of competition for Malaysian Islamic and conventional banks. Furthermore, this is the first study analysing the impact of Malaysian Islamic banks’ penetration on the level of competition for conventional banks.

scholarly journals The Effect of China-U.S. Trade Dispute on Chinese Stock Market: New Evidence from the Event Study Analysis

2020 ◽  
pp. 105-117
Author(s):  
Fuzhong Chen ◽  
Di Yu
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Event Study ◽  
Banking Sector ◽  
Abnormal Returns ◽  
The United States ◽  
Chinese Stock Market ◽  
Study Analysis ◽  
Trade Dispute ◽  
The Impact

In 2018, the China-U.S. trade dispute started, which brings heterogeneous impacts on the global economy. The purpose of this paper is to examine the effects of tariffs targeting Chinese exporting commodities imposed by the U.S. on the Chinese stock market by utilizing the event study analysis. 10 industries' stock returns between Jan. 3rd , 2017, and Apr. 3rd , 2020 were selected as the research objectives from the WIND database, according to the Chinese Shen Wan's classification standard. Results based on event study analysis show that: First, the China-U.S. trade dispute causes significant fluctuations to Chinese stock returns. Second, the impacts of the trade dispute are mainly negative, showing by the negative cumulative average abnormal returns in the export-oriented sectors when they are encountered with new tariffs imposed by the United States. However, the effects can also be positive because of the various situations of targeted industries, and the defensive measures taken by China. Third, the trade dispute also affects investors' views on the macro economy, in which the impact on the real economy can be transferred to other non-export-oriented industries, such as the banking sector. This study provides empirical evidence for China's policymakers to take measures in strengthening the independence of innovation, protecting intellectual property rights. Investors also need to equip themselves with more financial knowledge.

scholarly journals Wskaźniki koncentracji jako miary konkurencji w sektorze bankowym

2015 ◽  
Vol 2 (3) ◽  
pp. 25-38
Author(s):  
Małgorzata Pawłowska
Keyword(s):  
Financial Crisis ◽  
Mergers And Acquisitions ◽  
Banking Sector ◽  
Positive Impact ◽  
Lerner Index ◽  
The Impact

The aim of this paper is to examine the impact of changes in concentrationcaused by, among others, mergers and acquisitions on the level of competitionin the Polish banking sector in the years 1997–2012. The Lerner index was usedto measure competition in the Polish banking sector while CR5 and HHI indiceswere used as a measure of concentration. The article also addresses the impactof competition on risk in the Polish banking sector. The results of quantitativeanalysis showed that in the period before the financial crisis (1997-2007) the levelof concentration had a positive impact on the level of competition, i.e. the increasein the concentration was accompanied by increase in the level of competition.

scholarly journals NOISE TRADER RISK: EVIDENCE FROM VIETNAM STOCK MARKET

2019 ◽  
Vol 128 (5C) ◽  
pp. 5
Author(s):  
Phan Khoa Cuong ◽  
Tran Thi Bich Ngoc ◽  
Bui Thanh Cong ◽  
Vo Thi Quynh Chau
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Positive Impact ◽  
Moving Average ◽  
Noise Trader ◽  
Daily Stock Returns ◽  
Fundamental Value ◽  
The Impact ◽  
Daily Returns

<p><strong>Abstract: </strong>This paper investigates the existence of noise trader risk in Vietnam’s stock market and its effect on the daily returns of stock prices. The methodologies contain the estimation of GARCH (1,1) model to filter the residuals using the moving average method to calculate the impact of information traders. Noise trader risk or the risk that is caused by noise traders is derived by subtracting the residuals by the rational traders’ impact. We find that the noise trader risk does exist in Vietnam’s stock market and its impact on daily returns of stocks is unpredictable. Meanwhile, we find a positive impact of information traders on the stock returns. It increases the daily stock returns, and in turn, helps the market to correct itself because the stock prices move back to its fundamental value.</p><p><strong>Keywords</strong>: noise trader risk, GARCH (1,1), Vietnam’s stock market</p>

scholarly journals The impact of the COVID-19 lockdown on stock market performance: evidence from Vietnam

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dao Le Trang Anh ◽  
Christopher Gan
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Negative Impact ◽  
Emerging Market ◽  
Positive Influence ◽  
Stock Performance ◽  
Content Type ◽  
Stock Market Performance ◽  
Daily Stock Returns ◽  
The Impact

PurposeThis study explores the effects of the COVID-19 outbreak and its following lockdown on daily stock returns in Vietnam, a fast-growing emerging market that successfully revived after the pandemic lockdown.Design/methodology/approachThis study uses panel-data regression models to evaluate the influence of the daily increase in the number of COVID-19 confirmed cases during pre-lockdown and lockdown on daily stock returns of 723 listed firms in Vietnam from 30 January to 30 May 2020.FindingsThe study confirms the adverse impact of the daily increasing number of COVID-19 cases on stock returns in Vietnam. The study also discloses that the Vietnam stock market before and during the nationwide lockdown performed in opposing ways. Though COVID-19 pre-lockdown had a significant, negative impact on Vietnam's stock returns, the lockdown period had a significant, positive influence on stock performance of the entire market and the different business sectors in Vietnam. The financial sector was hardest hit on the Vietnam stock market during the COVID-19 outbreak.Research limitations/implicationsThe study indicates investors' confidence and trust in the Vietnam government's decisions to combat COVID-19 and favorable stocks prices were the main reasons that the Vietnam stock market rebounded during and after lockdown.Originality/valueThis is the first study to examine the impact of COVID-19 during the pre-lockdown and lockdown periods on stock performance in Vietnam, a rapidly developing economy that was successful in controlling the pandemic with a rejuvenated stock market after lockdown.

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