Impacts of the US macroeconomic news on Asian stock markets

2014 ◽  
Vol 15 (2) ◽  
pp. 149-179 ◽  
Author(s):  
Tho Nguyen ◽  
Chau Ngo
Keyword(s):  
Labor Market ◽  
Emerging Markets ◽  
Stock Markets ◽  
Price Index ◽  
Market Returns ◽  
Macroeconomic News ◽  
Stock Market Returns ◽  
Content Type ◽  
Developed Markets ◽  
The Us

Purpose – This paper aims to investigate the spillover effect of 14 US key macroeconomic news on the first two moments of 12 Asian stock market returns. Design/methodology/approach – The authors collect market expectation and actual scheduled announcements data for 14 key US's macroeconomic announcements from January 2002 to April 2012 from Bloomberg. The dataset consists of six groups: monetary policy and general macroeconomic indicators: the Federal Reserve's target interest rates (FOMC), gross domestic product (GDP), and leading indicator (LI); price indicators: consumer price index (CPI) and producer price index (PPI); business indicator: housing starts (HS) and industrial production (IP); consumption indicators: retail sales (RS) and consumer confidence level (CONSUM); labor market indicators: non-farm payroll (NFP), unemployment level (UE), and jobless claim (JOB); and external sector indicators: current account (CA) and trade balance (TB). The authors also collect daily opening and closing data of 12 Asian stock markets. Following Dow Jones classification, the authors divide them into two groups: five developed markets (Japan, Hong Kong, Republic of Korea, Singapore and Taiwan), and seven emerging markets (China, India, Indonesia, Malaysia, Pakistan, Sri Lanka, and Thailand). The MA-EGARCH (1,1) model is used for the empirical test. Findings – First, the authors find that stronger than expected news from the USA is associated with higher conditional mean and lower conditional variance of the Asian stock market returns, in general. Second, the Asian stock markets tend to put more weight on information relating to the US labor market than the other news as this indicator reveals much information about the underlying health of the US economy since full employment is the most important mandate for the US administration and policy makers. Third, in responding to the US news, the Asian emerging markets seem to respond stronger to the US news than the Asian developed markets both in terms of the number of responses and the magnitude of the reaction. This suggests that this could be seen as evidence that emerging markets are more dependent on the information content of the US news than the developed markets. Fourth, the US news is absorbed gradually leading to persisting volatility responses in the Asian stock markets. Originality/value – The authors fill a gap in the extant literature in investigating the speeds of the news absorption across the Asia region by examining the spillover effects across three time horizons, namely daily, overnight and intraday.

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 Opportunity or Crisis? Volatility and Leverage Effect in the World’s Largest Economies

2019 ◽  
Vol 9 (4) ◽  
pp. 1
Author(s):  
Amalendu Bhunia ◽  
Devrim Yaman
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Market Volatility ◽  
Future Market ◽  
Market Returns ◽  
Stock Market Returns ◽  
The Us ◽  
The World ◽  
The Impact ◽  
The Relationship

This paper examines the relationship between asset volatility and leverage for the three largest economies (based on purchasing power parity) in the world; US, China, and India. Collectively, these economies represent Int$56,269 billion of economic power, making it important to understand the relationship among these economies that provide valuable investment opportunities for investors. We focus on a volatile period in economic history starting in 1997 when the Asian financial crisis began. Using autoregressive models, we find that Chinese stock markets have the highest volatility among the three stock markets while the US stock market has the highest average returns. The Chinese market is less efficient than the US and Indian stock markets since the impact of new information takes longer to be reflected in stock prices. Our results show that the unconditional correlation among these stock markets is significant and positive although the correlation values are low in magnitude. We also find that past market volatility is a good indicator of future market volatility in our sample. The results show that positive stock market returns result in lower volatility compared to negative stock market returns. These results demonstrate that the largest economies of the world are highly integrated and investors should consider volatility and leverage besides returns when investing in these countries.

scholarly journals Market expectation shifts in option-implied volatilities in the US and UK stock markets during the Brexit vote

2021 ◽  
Vol 18 (4) ◽  
pp. 366-379
Author(s):  
Artem Bielykh ◽  
Sergiy Pysarenko ◽  
Dong Meng Ren ◽  
Oleksandr Kubatko
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Implied Volatility ◽  
Market Returns ◽  
Stock Market Returns ◽  
The Us ◽  
Market Expectations ◽  
Sharpe Ratios ◽  
Risk Free Rate ◽  
Free Rate

This paper investigates the effect of the Brexit vote on the connection between UK stock market expectations and US stock market returns. To gauge UK stock market expectations, the option-implied volatilities of the FTSE 100 index are calculated in the period starting five months before and ending four months after the Brexit referendum. To keep the analysis “clean”, it stops right before the 2016 US presidential elections. It uses an OLS regression to estimate the change in the relationship between US and UK stock market expectations.The main findings show that the US and UK stock markets became somewhat less integrated four months after the Brexit referendum compared to the five months before it. The S&P 500 Index returns have a statistically significant impact on implied volatilities of the FTSE 100 only before the Brexit referendum. However, the British risk-free rate (LIBOR) became a statistically significant factor affecting FTSE 100 implied volatilities only after Brexit. This analysis may be used by decision-makers in the money management industry to act appropriately during Black Swan events. When UK citizens unexpectedly voted in favor of Brexit, the risk-free rate dropped, making it cheaper to invest, increasing the Sharpe ratios of equity portfolios. Coupled with increased uncertainty, this caused portfolio reallocations. In turn, expected volatility measured by options-implied volatility increased. AcknowledgmentThe authors would like to thank Olesia Verchenko for critique, a KSE M.A., external defense reviewer for helpful comments.

Measuring contagion during COVID-19 through volatility spillovers of BRIC countries using diagonal BEKK approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kunjana Malik ◽  
Sakshi Sharma ◽  
Manmeet Kaur
Keyword(s):  
Stock Markets ◽  
Emerging Market ◽  
Statistical Significance ◽  
Stock Market Returns ◽  
Content Type ◽  
Volatility Spillovers ◽  
Bric Countries ◽  
Dynamic Framework ◽  
International Portfolio Diversification ◽  
The Us

PurposeThe outbreak of the coronavirus disease 2019 (COVID-19) pandemic is an unprecedented shock to the BRICS (Brazil, Russia, India, China, South Africa) economy and their financial markets have plummeted significantly due to it. This paper adds to the recent literature on contagion due to spillover by uniquely examining the presence of pairwise contagion or volatility transmissions in stock markets returns of India, Brazil, Russia, China and USA prior to and during COVID-19 pandemic period.Design/methodology/approachIn this study, the generalised autoregressive conditional heteroskedasticity (GARCH) by Bollerslev (1986) under diagonal parameterization is used to estimate multivariate GARCH framework also known as BEKK (Baba EngleKraft and Kroner) model on stock market returns of BRIC nations and the US.FindingsThe empirical results show that the model captures the volatility spillovers and display statistical significance for own past mean and volatility with both short- and long-run persistence effects. Own volatility spillovers (Heatwave phenomenon) have been found to be highest for the US, China and Brazil compared to Russia and India. The coefficients indicate persistence of volatility for each country in terms of its own past errors. The highest and long-term spillover effect is found between US and Russia. The results recommend that Russia is least vulnerable to outside shocks. Finally after examining the pairwise results, it is suggested that the BRIC countries stock indices have exhibited volatility spillover due to the COVID-19 pandemic.Research limitations/implicationsThe study may be extended to include other emerging market economies under a dynamic framework.Practical implicationsResearchers and policymakers may draw useful insights on cross-market interdependencies regarding the spillovers in BRIC countries' stock markets. It also helps design international portfolio diversification strategies and in constructing optimal portfolios during COVID and in a post-COVID world.Originality/valueCOVID-19 has been an improbable event in the history of the world which can have a large impact on the financial economies across the emerging countries. This event can be deemed to be informative enough to measure the co-movements of the equity markets amongst cross-country return series, which has not been investigated so far for BRIC nations.

Forecasting the value effect of Seasoned Equity Offering announcements: Evidence from BRICS and comparative analysis to USA and European Markets

2017 ◽  
Vol 10 (2) ◽  
pp. 22-46
Author(s):  
Zhuqing Huang ◽  
Kostantinos Nikolopoulos
Keyword(s):  
Emerging Markets ◽  
Stock Markets ◽  
Stock Exchange ◽  
Empirical Studies ◽  
Market Reactions ◽  
Developed Markets ◽  
Long Run ◽  
The Us ◽  
Value Effect ◽  
European Markets

Purpose –The purpose of this paper is to forecast the value effect of the SEO announcements based on the BRICS stock markets, and to make comparisons with the US and European markets.Design/methodology/approach –China and Russia are picked as representations of the BRICS based on the analysis of the economic growth of the five countries. Historical data from Shanghai Stock Exchange (SSE) and Moscow Stock Exchange (MSE) between 2010 and 2014 were involved. The authors use the abnormal return to quantify the value effect of SEOs and different models were built with the chosen factors. Modelling tools include EViews and SAS, and comparisons were made among the models.Findings –Positive market reactions were observed within two and three days after the SEOs in SSE and MSE respectively, negative market reactions exist in a long-run period after the announcements. The best model for the prediction is the auto-neural model.Research limitations/implications – The sample size could be larger in order to raise the precision of the prediction.Originality/value – Many empirical studies of the SEOs are based on developed markets. However the emerging markets may react differently. This research focuses on the stock markets in BRICS, which could be seen as representations of the emerging markets, thus could provide ideas and clues for relevant stakeholders in emerging markets before the SEO announcements.Keywords SEO, BRICS, Value effect, Neural Networks, SSE, MSEPaper type Research paper

Volatility and cross correlations of stock markets in SAARC nations

2014 ◽  
Vol 3 (2) ◽  
pp. 154-169 ◽  
Author(s):  
Monica Singhania ◽  
Shachi Prakash
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Markets ◽  
Cross Correlation ◽  
Global Market ◽  
Market Returns ◽  
Stock Market Returns ◽  
Content Type ◽  
Stock Indices

Purpose – The purpose of this paper is to examine cross-correlation in stock returns of SAARC countries, conditional and unconditional volatility of stock markets and to test efficient market hypothesis (EMH). Design/methodology/approach – Stock indices of India, Bangladesh, Sri Lanka and Pakistan are considered to serve as proxy for stock markets in SAARC countries. Data consist of daily closing price of stock indices from 2000 to 2011. Since preliminary testing indicated presence of serial autocorrelation and volatility clustering, family of GARCH models is selected. Findings – Results indicate presence of serial autocorrelation in stock market returns, implying dependence of current stock prices on stock prices of previous times and leads to rejection of EMH. Significant relationship between stock market returns and unconditional volatility indicates investors’ expectation of extra risk premium for exposing their portfolios to unexpected variations in stock markets. Cross-correlation revealed level of integration of South Asian economies with global market to be high. Research limitations/implications – Business cycles and other macroeconomic developments affect most companies and lead to unexplained relationships. The paper finds stock markets to exist at different levels of development as economic liberalization started at different points of time in SAARC countries. Practical implications – Correlation between stock indices of SAARC economies are found to be low which is in line with intra-regional trade being one of lowest as compared to other regional groups. Results point towards greater need for economic cooperation and integration between SAARC countries. Greater financial integration leads to development of markets and institutions, effective price discovery, higher savings and greater economic progress. Originality/value – The paper focuses on EMH and risk return relation for SAARC nations.

Trade and tech uncertainty will boost ‘safer’ assets

2019 ◽  
Keyword(s):  
Stock Market ◽  
Emerging Markets ◽  
Crude Oil ◽  
Stock Markets ◽  
Oil Price ◽  
Crude Oil Price ◽  
Government Bonds ◽  
Content Type ◽  
The Us ◽  
New Phase

Significance US President Donald Trump’s decision last month to intensify the US-China conflict by raising the tariff rate and targeting Chinese tech firms is straining stock markets and making government bonds more attractive. Marking a dangerous new phase, sentiment towards the tech sector is deteriorating, after powering the stock market 'bull run' for a decade. Impacts Uncertainty over both US policy and geopolitics globally will continue to make the dollar more attractive, outweighing Fed dovishness. Emerging markets enjoyed a surge in inflows from January-April 2019, but suffered sharp outflows in May, and investors will remain cautious. The VIX Index, Wall Street’s so-called ‘fear gauge’, has surged by around 50% since May 3, and is likely to remain elevated. Rising US output means that the Brent crude oil price is likely to stabilise rather than rebound, having fallen by about 20% since April.

Impact of political events on stock market returns: empirical evidence from Pakistan

2014 ◽  
Vol 30 (1) ◽  
pp. 60-78 ◽  
Author(s):  
Mian Sajid Nazir ◽  
Hassan Younus ◽  
Ahmad Kaleem ◽  
Zeshan Anwar
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Exchange ◽  
Market Returns ◽  
Government Structure ◽  
Stock Market Returns ◽  
Content Type ◽  
Noisy Information ◽  
Political Events ◽  
Study Methodology

Purpose – The purpose of this paper is to investigate the relationship between uncertain political events and Pakistani Stock Markets from May 1999 to December 2011. Design/methodology/approach – Using the mean-adjusted return model and event study methodology and by comparing the market efficiency between the two government style, i.e. autocratic and democratic, the authors determined that how uncertain political events are affecting Pakistani Stock Markets. Findings – The empirical result shows that political events have an impact on the Karachi Stock Exchange (KSE) returns. Moreover, the paper derives from the results that the KSE is inefficient for a short span of time, after 15 days KSE absorbs the noisy information. The political situation in Pakistan was more stable in autocratic government structure than in democratic structure but it is difficult to state that the stock markets are more efficient in Autocracy because only few events took place during an autocratic regime and magnitude of events was not same in the autocratic and democratic government structure. Originality/value – This study is unique in its nature as it examines the effect of multiple political events on stock market returns in Pakistan simultaneously and is expected to contribute significantly in the capital market literature of Pakistan in particular.

Investor behavior in ETF markets: a comparative study between the US and emerging markets

2019 ◽  
Vol 14 (5) ◽  
pp. 944-966 ◽  
Author(s):  
Augusto Ferreira da Costa Neto ◽  
Marcelo Cabus Klotzle ◽  
Antonio Carlos Figueiredo Pinto
Keyword(s):  
South Africa ◽  
Emerging Markets ◽  
Investor Behavior ◽  
Investment Strategies ◽  
Content Type ◽  
Start Date ◽  
Developed Markets ◽  
Thomson Reuters ◽  
The Us ◽  
Feedback Trading

Purpose The purpose of this paper is to present the results of a study on investor behavior in exchange-traded fund (ETF) markets. The standard feedback trading model of Sentana and Wadhwani (1992) is used in a sample of 18 ETFs contracts in Brazil, China, South Africa, Korea, Mexico and India, as well as three ETFs contracts in the US market. Design/methodology/approach The sample includes data on daily closing prices and net asset values (NAVs) for three ETFs from each of the emerging markets of Brazil, China, Mexico, Korea and India, as well as on three ETFs from the US market. The authors used the earliest start date available in the Thomson Reuters database pertaining to all of the ETFs, and all series ended on May 5, 2017, and applied the well-established Santana and Wadhwani (1992) seminal model to evaluate evidence of feedback trading in the sample. Findings The empirical analysis suggests that there is evidence of feedback trading in emerging markets such as Brazil, Korea, Mexico and India, while there is no such evidence for the US market. The results are consistent with the view that developed markets investors are prone to pursue fundamental-driven investment strategies, while emerging markets investors appear to have informational guided behavior. Research limitations/implications Emerging markets still make up a very small part of the global ETF market, led by the USA. Nevertheless, it is extremely important that studies of this nature be gradually expanded as these markets grow, in order to verify how emerging markets compare to their developed counterparts in terms of the efficiency of information sharing and rationalization of its operations. Practical implications Emerging markets policy makers could benefit from these findings by stimulating new mechanisms that could minimize informational asymmetry and the persistence of so-called noise traders, a phenomenon observed recently in studies regarding ETF markets (Brown, Davies and Ringgenberg, 2018). Originality/value The behavior of investors was investigated by analyzing a sample of 18 ETFs from the emerging markets of Brazil, China, South Africa, Korea, India and Mexico, as well as three ETFs from the US market. Despite of being investigated separately both emerging (Charteris et al., 2014) and developed markets (Chau et al., 2011), the innovation consists in comparing those markets in a single study, pursuing to explain potential reasons for the differences observed between developed and emerging markets.

Time-varying synchronization and dynamic conditional correlation among the stock market returns of leading South American economies

2018 ◽  
Vol 14 (2) ◽  
pp. 245-262 ◽  
Author(s):  
Ajaya Kumar Panda ◽  
Swagatika Nanda
Keyword(s):  
Time Series ◽  
Stock Market ◽  
Stock Markets ◽  
South American ◽  
Conditional Correlation ◽  
Market Returns ◽  
Stock Market Returns ◽  
Content Type ◽  
Dynamic Conditional Correlation ◽  
Auto Regressive

Purpose The purpose of this paper is to capture the pattern of return volatility and information spillover and the extent of conditional correlation among the stock markets of leading South American economies. It also examines the connectedness of market returns within the region. Design/methodology/approach The time series properties of weekly stock market returns of benchmark indices spanning from the second week of 1995 to the fourth week of December 2015 are analyzed. Using univariate auto-regressive conditional heteroscedastic, generalized auto-regressive conditional heteroscedastic, and dynamic conditional correlation multivariate GARCH model approaches, the study finds evidence of returns and volatility linkages along with the degree of connectedness among the markets. Findings The findings of this study are consistent with increasing market connectedness among a group of leading South American economies. Stocks exhibit relatively fewer asymmetries in conditional correlations in addition to conditional volatility; yet, the asymmetry is relatively less apparent in integrated markets. The results demonstrate that co-movements are higher toward the end of the sample period than in the early phase. The stock markets of Argentina, Brazil, Chile, and Peru are closely and strongly connected within the region followed by Colombia, whereas Venezuela is least connected with the group. Practical implications The implication is that foreign investors may benefit from the reduction of the risk by adding the stocks to their investment portfolio. Originality/value The unique features of the paper include a large sample of national stock returns with updated time series data set that reveals the time series properties and empirical evidence on volatility testing. Unlike other studies, this paper uncovers the relation between the stock markets within the same region facing the same market condition.

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