scholarly journals Idiosyncratic volatility and interruption mechanisms in South Korean stock markets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Seungho Shin ◽  
Atsuyuki Naka ◽  
Saad Alsunbul

PurposeThe purpose of this study is to examine how the volatility interruption (VI) mechanisms affect idiosyncratic volatilities in Korean stock markets.Design/methodology/approachCollecting the South Korea Stock Market (KOSPI) data from June 15, 2015 to March 31, 2019, we collect each residual,  εi,t, from three different estimated models: capital asset pricing model (CAPM), FF3 and FF5. To estimate the conditional idiosyncratic volatility, the authors employ two conditional time-varying measurements: GARCH and TGARCH.FindingsThe results show that the conditional idiosyncratic volatility increases when stock prices reach the upper and lower static limits, indicating the implementation of adopting static VI mechanism neither stabilize market conditions nor reduce excess volatility along with the existence of price limits.Originality/valueAlthough market regulators and policymakers improve market conditions with the advanced VI mechanism, the empirical results show the adverse effect of the mechanism. Not allowing investors to earn above average returns without accepting above average risks makes Korean stock markets inefficient along with advanced VI mechanisms.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eric Mao ◽  
Brian P. Soebbing ◽  
Nicholas M. Watanabe

PurposeUtilizing the capital asset pricing model (CAPM), the purpose is to analyze whether the stock prices of the corporation that owns sport teams fluctuate based on team performance in the Chinese Super League (CSL).Design/methodology/approachSeveral CSL teams are publicly owned corporations. As such, the authors look to see if on-field performance impacts the stock price of the firms. Using the news model from previous research, seemingly unrelated regressions are estimated on CSL games from 2014 through 2017.FindingsThe results from the main models indicate some evidence of a statistical relationship between on-field team performance and stock price. Furthermore, the findings for individual teams across markets did not hold consistent across different markets. More specifically, the authors found some instances where successful on-field performance led to a decline in stock prices.Originality/valueThe present study further contributes to the growing literature related to on-field performance and stock prices. Unlike previous research, the use of the CSL as the empirical setting provides the opportunity to use multiple stock markets which provides an opportunity to further examine this relationship. Finally, the study contributes broadly to the literature on professional sports ownership structures around the world.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhengxun Tan ◽  
Yao Fu ◽  
Hong Cheng ◽  
Juan Liu

PurposeThis study aims to examine the long memory as well as the effect of structural breaks in the US and the Chinese stock markets. More importantly, it further explores possible causes of the differences in long memory between these two stock markets.Design/methodology/approachThe authors employ various methods to estimate the memory parameters, including the modified R/S, averaged periodogram, Lagrange multiplier, local Whittle and exact local Whittle estimations.FindingsChina's two stock markets exhibit long memory, whereas the two US markets do not. Furthermore, long memory is robust in Chinese markets even when we test break-adjusted data. The Chinese stock market does not meet the efficient market hypothesis (EMHs), including the efficiency of information disclosure, regulations and supervision, investors' behavior, and trading mechanisms. Therefore, its stock prices' sluggish response to information leads to momentum effects and long memory.Originality/valueThe authors elaborately illustrate how long memory develops by analyzing not only stock market indices but also typical individual stocks in both the emerging China and the developed US, which diversifies the EMH with wider international stylized facts and findings when compared with previous literature. A couple of tests conducted to analyze structural break effects and spurious long memory demonstrate the reliability of the results. The authors’ findings have significant implications for investors and policymakers worldwide.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manuchehr Irandoust

Purpose This paper aims to examine whether there exists a long-run causal relationship between the prices of households’ two major assets: stocks and houses over the period 1975Q1–2017Q1 for seven major European countries. Design/methodology/approach The paper uses the bootstrap panel Granger causality approach to determine the causal structure, focusing on cross-sectional dependence, slope heterogeneity and structural breaks. Findings The findings show that, in most cases, there is a unidirectional causality running from stock price to house price but the converse is not true. This confirms a strong wealth effect in housing markets. The findings are important for not only households but also policymakers concerned with financial stability and housing prices. Originality/value First, the methodology used here devotes full attention to dynamic co-movement between housing and stock markets. Second, this study uses a rather long quarterly data, which implies that the findings could be robust. Third, the study uses real personal disposable income as a control variable to remove the effects of economic growth. Fourth, most of the previous studies do not consider the presence of structural breaks and this makes the result of causality invalid and biased. Fifth, most of the previous studies on housing and stock markets concentrated on the US and non-European countries such as China, Korea and Singapore.


2016 ◽  
Vol 6 (3) ◽  
pp. 254-268 ◽  
Author(s):  
Mauricio Melgarejo ◽  
Eduardo Montiel ◽  
Luis Sanz

Purpose – The purpose of this paper is to analyze the stock price and volume reactions around firms’ earnings announcement dates in two Latin American stock markets: Chile and Peru. Design/methodology/approach – This study uses multivariate regression analysis to determine the impact of accounting information on stock prices and volume traded around the firms’ earnings announcement dates. Findings – The authors find that quarterly earnings surprises explain stock abnormal returns and abnormal trading volumes around the earnings announcement dates in the Santiago (Chile) and Lima (Peru) stock exchanges. The authors also find that these two effects are driven by small firms. Originality/value – This is one of the first articles to study the price and volume reactions to accounting information in Latin American stock markets.


2020 ◽  
Vol 21 (5) ◽  
pp. 621-657
Author(s):  
Thomas C. Chiang

Purpose Recent empirical studies by Antonakakis, Chatziantoniou and Filis (2013), Brogaard and Detzel (2015) and Christou et al. (2017) present evidence, which supports the notion that a rise in economic policy uncertainty (EPU) will lead to a decline in stock prices. The purpose of this paper is to examine US categorical policy uncertainty on stock returns while controlling for implied volatility and downside risk. In addition to the domestic impacts of policy uncertainty, this paper also presents evidence that changes in US policy uncertainty promptly propagates to the global stock markets. Design/methodology/approach This study uses a GED-GARCH (1, 1) model to estimate changes of uncertainties in US monetary, fiscal and trade policies on stock returns for the sample period of January 1990–December 2018. Robustness test is conducted by using different set of data and modeling techniques. Findings This paper contributes to the literature in several aspects. First, testing of US aggregate data while controlling for downside risk and implied volatility, consistently, shows that responses of stock prices to US policy uncertainty changes, not only display a negative effect in the current period but also have at least a one-month time-lag. The evidence supports the uncertainty premium hypothesis. Second, extending the test to global data reveals that US policy uncertainty changes have a negative impact on markets in Europe, China and Japan. Third, testing the data in sectoral stock markets mainly displays statistically significant results with a negative sign. Fourth, the evidence consistently shows that changes in policy uncertainty present an inverse relation to the stock returns, regardless of whether uncertainty is moving upward or downward. Research limitations/implications The current research is limited to the markets in the USA, eurozone, China and Japan. This study can be extended to additional countries, such as emerging markets. Practical implications This paper provides a model that uses categorical policy uncertainty approach to explain stock price changes. The parametric estimates provide insightful information in advising investors for making portfolio decision. Social implications The estimated coefficients of changes in monetary policy uncertainty, fiscal policy uncertainty and trade policy uncertainty are informative in assisting policymakers to formulate effective financial policies. Originality/value This study extends the existing risk premium model in several directions. First, it separates the financial risk factors from the EPU innovations; second, instead of using EPU, this study investigates the effects from monetary policy, fiscal policy and trade policy uncertainties; third, in additional to an examination of the effects of US categorical policy uncertainties on its own markets, this study also investigates the spillover effects to global major markets; fourth, besides the aggregate stock markets, this study estimates the effects of US policy uncertainty innovations on the sectoral stock returns.


2018 ◽  
Vol 8 (1) ◽  
pp. 92-108 ◽  
Author(s):  
Jiaojiao Fan ◽  
Xin Li ◽  
Qinghua Shi ◽  
Chi-Wei Su

Purpose The purpose of this paper is to examine the causal relationship between Chinese housing and stock markets. The authors discuss the three transmission mechanisms between the two markets: wealth effect, modern portfolio theory and credit-price effect. Moreover, the authors focus on the effects of inflation on the relationship between the two markets. Design/methodology/approach This paper uses wavelet analysis to test the housing and stock markets relationship both in the frequency domain and time domain. Findings The empirical results indicate that housing prices have a positive effect on stock prices, and these have the same effect on housing prices. Moreover, this positive effect means that stock prices have a wealth effect on housing prices and these have a credit-price effect on stock prices. Research limitations/implications These results provide information to financial institutions and individual investors in China to assist them in constructing investment portfolios within these two asset markets. Originality/value The authors first use wavelet analysis to analyze Chinese housing and stock markets and to provide information both on the frequency domain and time domain. Moreover, the authors take the inflation factor as a control variable in the causal relationship between the housing and stock markets.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mark Steven Johnson

PurposeThe purpose of this paper is to determine the impact of the Supreme Court’s ruling that POM Wonderful could sue Coca-Cola, a competitor, for misrepresentation of their products. This decision has the potential to alter the legal environment for soft drink and food processing firms.Design/methodology/approachThe author conducted an event study of the shareholder value effects of the court decision. The analysis estimates the market responses to the decisions. To control the effects of market-wide fluctuations, the author uses two alternative models of the returns generating process to calculate abnormal returns, the capital asset pricing model (CAPM) and the Fama-French 3-factor models.FindingsThe author hypothesizes that soft drink firms will be negatively impacted by the Supreme Court’s decision, because it may limit their ability to market beverages with a low percentage of expensive juices. Consistent with this argument, the author finds that the stock prices of publicly traded soft drink firms reacted negatively to the announcement of the Supreme Court’s decision. The author also hypothesizes that there may be a spillover effect to food processing firms. These firms may also be at risk to being sued by competitors for exaggerated claims. Contrary to this argument, the author finds no spillover effect to other types of food processing firms. Thus, the decision did leave an aftertaste for the soft drink industry but not the food processing industry.Originality/valueThis study is the first to examine the impact of the right to sue competitors in the food industry for misrepresentation of products.


2015 ◽  
Vol 10 (3) ◽  
pp. 409-426 ◽  
Author(s):  
Jacinta Chikaodi Nwachukwu ◽  
Omowunmi Shitta

Purpose – The purpose of this paper is to focus on the weak-form efficiency of 24 emerging and nine industrial stock market indices around the world. It tests for the predictability and the presence of seasonal patterns in rates of return from January 2000 to December 2010. Design/methodology/approach – It reports on the descriptive statistics for estimated monthly percentage returns. This is complemented by the use of both parametric and non-parametric techniques to test for abnormal return behaviour in stock markets. Findings – The results show that: first, emerging economies which persisted with market-oriented reforms had higher returns relative to risk, indicating their attractiveness for risk diversification; second, successive changes in stock prices were interrelated with each other and therefore contained information for predicting future prices in two-thirds of the emerging markets compared to one-third of industrial economies; and third, the turn-of-the calendar year effect was present for half of the emerging markets vis-à-vis one-quarter of the developed countries. The authors found limited support for the tax-loss selling hypothesis for both the emerging and industrial economies. Research limitations/implications – The paper fails to specifically analyse the implications for security returns of changes in technology, institutions, volume of trading and regulations in the different stock markets. Practical implications – The results should be particularly informative for foreign investors with regard to the risk diversification benefits of the various emerging and industrialised stock markets and the expected risk-return trade-offs. Originality/value – The paper provides a more powerful explanation for the role of institutional arrangements, infrastructure, culture and other country-specific risk factors in asset pricing compared to disparate case studies.


2019 ◽  
Vol 20 (4) ◽  
pp. 313-329
Author(s):  
Pascal Nguyen ◽  
Younes Ben Zaied ◽  
Thu Phuong Pham

Purpose This paper aims to investigate whether idiosyncratic volatility is a priced risk factor in the Australian stock market. Design/methodology/approach The authors use the change in idiosyncratic volatility around acquisition announcements and the related stock price revaluation to test whether the idiosyncratic risk is priced. If the idiosyncratic risk is priced, increases (decreases) in idiosyncratic volatility should be associated with decreases (increases) in the acquirer’s stock price, as the latter’s future cash flows are discounted at a higher (lower) rate. The sample consists of 2,656 completed acquisitions by Australian listed firms over the period January 1990 to October 2014 for which deal value represents more than 5 per cent of the acquirer’s market value. Findings Increases (decreases) in idiosyncratic risk are associated with significant decreases (increases) in firm value. This negative relationship is robust to the presence of outliers; is unaffected by the incidence of the 2007-2008 financial crisis; holds using alternative measures of idiosyncratic risk; and is more significant after excluding the resources sector. Firms with a higher idiosyncratic risk prior to the acquisition, and firms avoiding stock to pay for the acquisition, experience a more significant stock price increase in relation to a decrease in idiosyncratic risk. Research limitations/implications Considering the small size of the Australian economy, investors may have less scope to mitigate idiosyncratic risk. As a consequence, idiosyncratic risk is associated with the positive excess return, contrary to what standard asset pricing theory assumes. The results support Merton’s (1987) hypothesis that investors are exposed to idiosyncratic risk due to imperfect portfolio diversification and receive compensation for bearing that risk. Practical implications The pricing of idiosyncratic risk may also explain why the Australian stock market has historically offered a high equity risk premium. A practical implication would be for international investors to take advantage of the diversification constraints of local investors to capture higher risk premiums and achieve superior returns. Originality/value While prior studies demonstrate that stocks with higher idiosyncratic risk are associated with higher subsequent returns, the authors show that an increase in idiosyncratic risk is associated with a decrease in stock prices using acquisition announcements as shocks to a firm’s idiosyncratic risk. In other words, the results arise from within-firm variations rather than from cross-sectional differences in stock returns.


2014 ◽  
Vol 3 (2) ◽  
pp. 154-169 ◽  
Author(s):  
Monica Singhania ◽  
Shachi Prakash

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.


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