scholarly journals Performance of Shanghai Composite Index and Sector Indices in The Beginning of Novel Coronavirus Pandemic

2021 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Venus Khim-Sen Liew ◽  
Chin-Hong Puah
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Composite Index ◽  
Chinese Stock Market ◽  
Health Care Information ◽  
Stock Market Performance ◽  
Health Care Information Technology ◽  
Novel Coronavirus ◽  
Regulatory Commission

This paper aims to quantify the effect of the deadly novel coronavirus (COVID-19) pandemic outbreak on Chinese stock market performance. Shanghai Stock Exchange Composite Index and its component sector indices are examined in this study. The pandemic is represented by a lockdown dummy, new COVID-19 cases and a dummy for 3 February 2020. First, descriptive analysis is performed on these indices to compare their performances before and during the lockdown period. Next, regression analysis with Exponential Generalized Autoregressive Conditional Heteroscedasticity specification is estimated to quantify the pandemic effect on the Chinese stock market. This paper finds that health care, information technology and telecommunication services sectors were relatively more pandemic-resistant, while other sectors were more severely hurt by the pandemic outbreak. The extent to which each sector was affected by pandemic and sentiments in other financial and commodity markets were reported in details in this paper. The findings of this paper are resourceful for investors to avoid huge loss amid pandemic outburst and the China Securities Regulatory Commission in handling future pandemic occurrence to cool down excessive market sentiments.

scholarly journals Chinese stock market sectoral indices performance in the time of novel coronavirus pandemic

2020 ◽  
Author(s):  
Venus Khim-Sen Liew ◽  
Chin-Hong Puah
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Composite Index ◽  
Chinese Stock Market ◽  
Health Care Information ◽  
Stock Market Performance ◽  
Health Care Information Technology ◽  
Novel Coronavirus ◽  
Regulatory Commission

Abstract This paper aims to quantify the effect of the deadly novel coronavirus (COVID-19) pandemic outbreak on Chinese stock market performance. Shanghai Stock Exchange Composite Index and its component sectorial indices are examined in this study. The pandemic is represented by a lockdown dummy, new COVID-19 cases and a dummy for 3 February 2020. First, descriptive analysis is performed on these indices to compare their performances before and during the lockdown period. Next, regression analysis with Exponential Generalized Autoregressive Conditional Heteroscedasticity specification is estimated to quantify the pandemic effect on the Chinese stock market. This paper finds that health care, information technology and telecommunication services sectors were relatively more pandemic-resistant, while other sectors were more severely hurt by the pandemic outbreak. The extent to which each sector was affected by pandemic and sentiments in other financial and commodity markets were reported in details in this paper. The findings of this paper are resourceful for investors to avoid huge loss amid pandemic outburst and the China Securities Regulatory Commission in handling future pandemic occurrence to cool down excessive market sentiments.

scholarly journals Chinese Stock Market Sector Indices Performance in the Time of Novel Coronavirus Pandemic

2020 ◽  
Author(s):  
Venus Khim-Sen Liew Liew ◽  
Chin-Hong Puah
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Composite Index ◽  
Chinese Stock Market ◽  
Health Care Information ◽  
Stock Market Performance ◽  
Health Care Information Technology ◽  
Novel Coronavirus ◽  
Regulatory Commission

This paper aims to quantify the effect of the deadly novel coronavirus (COVID-19) pandemic outbreak on Chinese stock market performance. Shanghai Stock Exchange Composite Index and its component sector indices are examined in this study. The pandemic is represented by a lockdown dummy, new COVID-19 cases and a dummy for 3 February 2020. First, descriptive analysis is performed on these indices to compare their performances before and during the lockdown period. Next, regression analysis with Exponential Generalized Autoregressive Conditional Heteroscedasticity specification is estimated to quantify the pandemic effect on the Chinese stock market. This paper finds that health care, information technology and telecommunication services sectors were relatively more pandemic-resistant, while other sectors were more severely hurt by the pandemic outbreak. The extent to which each sector was affected by pandemic and sentiments in other financial and commodity markets were reported in details in this paper. The findings of this paper are resourceful for investors to avoid huge loss amid pandemic outburst and the China Securities Regulatory Commission in handling future pandemic occurrence to cool down excessive market sentiments.

scholarly journals Portfolio Learning Based on Deep Learning

2020 ◽  
Vol 12 (11) ◽  
pp. 202
Author(s):  
Wei Pan ◽  
Jide Li ◽  
Xiaoqiang Li
Keyword(s):  
Deep Learning ◽  
Stock Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Composite Index ◽  
Series Data ◽  
High Dimensional ◽  
Chinese Stock Market ◽  
High Return ◽  
Stock Information

Traditional portfolio theory divides stocks into different categories using indicators such as industry, market value, and liquidity, and then selects representative stocks according to them. In this paper, we propose a novel portfolio learning approach based on deep learning and apply it to China’s stock market. Specifically, this method is based on the similarity of deep features extracted from candlestick charts. First, we obtained whole stock information from Tushare, a professional financial data interface. These raw time series data are then plotted into candlestick charts to make an image dataset for studying the stock market. Next, the method extracts high-dimensional features from candlestick charts through an autoencoder. After that, K-means is used to cluster these high-dimensional features. Finally, we choose one stock from each category according to the Sharpe ratio and a low-risk, high-return portfolio is obtained. Extensive experiments are conducted on stocks in the Chinese stock market for evaluation. The results demonstrate that the proposed portfolio outperforms the market’s leading funds and the Shanghai Stock Exchange Composite Index (SSE Index) in a number of metrics.

scholarly journals The performance of the Indian stock market during COVID-19

2020 ◽  
Vol 17 (3) ◽  
pp. 133-147
Author(s):  
Rashmi Chaudhary ◽  
Priti Bakhshi ◽  
Hemendra Gupta
Keyword(s):  
Standard Deviation ◽  
Stock Market ◽  
Stock Exchange ◽  
Health Care Information ◽  
Crisis Period ◽  
Daily Data ◽  
Composite Indices ◽  
Health Care Information Technology ◽  
Indian Stock Market ◽  
The Impact

The current empirical study attempts to analyze the impact of COVID-19 on the performance of the Indian stock market concerning two composite indices (BSE 500 and BSE Sensex) and eight sectoral indices of Bombay Stock Exchange (BSE) (Auto, Bankex, Consumer Durables, Capital Goods, Fast Moving Consumer Goods, Health Care, Information Technology, and Realty) of India, and compare the composite indices of India with three global indexes S&P 500, Nikkei 225, and FTSE 100. The daily data from January 2019 to May 2020 have been considered in this study. GLS regression has been applied to assess the impact of COVID-19 on the multiple measures of volatility, namely standard deviation, skewness, and kurtosis of all indices. All indices’ key findings show lower mean daily return than specific, negative returns in the crisis period compared to the pre-crisis period. The standard deviation of all the indices has gone up, the skewness has become negative, and the kurtosis values are exceptionally large. The relation between indices has increased during the crisis period. The Indian stock market depicts roughly the same standard deviation as the global markets but has higher negative skewness and higher positive kurtosis of returns, making the market seem more volatile.

scholarly journals Gold and Government Bonds as Safe-Haven Assets Against Stock Market Turbulence in China

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402199065
Author(s):  
Wei Huang ◽  
Meng-Shiuh Chang
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Composite Index ◽  
Investment Strategy ◽  
Chinese Stock Market ◽  
Safe Haven ◽  
Copula Models ◽  
Government Bonds ◽  
Market Turbulence ◽  
Vine Copula

We examine whether gold and China’s government bonds are safe-haven assets against the turbulence of the Shanghai Stock Exchange Composite Index by employing vine copula models during the 2003 to 2015 period. We find that either bonds or gold can be a weak safe haven but only gold can be a strong safe haven. Our simultaneous analysis advises against a joint safe-haven strategy of gold and bonds, given the high- to low-tail correlation. This result highlights an investment strategy of using a single safe-haven asset against the Chinese stock market turbulences.

scholarly journals Impact of Wuhan Lockdown in Early Stage of COVID-19 Outbreak on Sector Returns in Chinese Stock Market

2021 ◽  
Vol 56 (2) ◽  
pp. 524-533
Author(s):  
Venus Khim-Sen Liew
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Stock Market ◽  
Stock Exchange ◽  
Early Stage ◽  
Composite Index ◽  
Abnormal Returns ◽  
Chinese Stock Market ◽  
The Face ◽  
Short Run

The unprecedented Wuhan lockdown due to the outbreak of the COVID-19 pandemic provides a natural experiment that will elucidate its immediate impact on the stock market. Event study methodology is adopted to identify any short-run abnormal returns in the Shanghai Stock Exchange Composite Index and its ten component sectors. This paper reports empirical evidence on the negative short-run impact of the Wuhan lockdown in the face of the pandemic outbreak on all component sectors of the Shanghai Stock Exchange Composite. The health care and information technology sectors, which helped considerably in the fight against the pandemic, were resilient and outperformed the general market in the Shanghai Stock Exchange despite the lockdown. The eight other sectors performed at par with the general market. This confirmation of the counter-cyclical nature of the health care and information technology sectors during the lockdown, which enabled them to overcome the pandemic outbreak, provides valuable insights with which investors can adjust their portfolios in similar situations in the future in a timely manner.

META-ANALYSIS ON AMERICAN PRESIDENTIAL ELECTION - 2016 AND AMERICAN STOCK MARKET

2020 ◽  
Vol 38 (1) ◽  
Author(s):  
Farhan Ahmed ◽  
Salman Bahoo ◽  
Sohail Aslam ◽  
Muhammad Asif Qureshi
Keyword(s):  
Content Analysis ◽  
Stock Market ◽  
Event Study ◽  
Presidential Election ◽  
Republican Party ◽  
Stock Exchange ◽  
Meta Analysis ◽  
Composite Index ◽  
Stock Index ◽  
Political Event

This paper aims to analyze the efficient stock market hypothesis as responsive to American Presidential Election, 2016. The meta-analysis has been done combining content analysis and event study methodology. The all major newspapers, news channels, public polls, literature and five important indices as Dow Jones Industrial Average (DJIA), NASDAQ Stock Market Composit Indexe (NASDAQ-COMP), Standard & Poor's 500 Index (SPX-500), New York Stock Exchange Composite Index (NYSE-COMP) and Other U.S Indexes-Russell 2000 (RUT-2000) are critically examined and empirically analyzed. The findings from content analysis reflect that stunned winning of Mr Trump from Republican Party worked as shock for American stock market. From event study, findings confirmed that all the major indices reflected a decline on winning of Trump and losing of Ms. Clinton from Democratic. The results are supported empirically and practically through the political event like BREXIT that resulted in shock to Global stock index and loss of $2 Trillion.

scholarly journals Presidential Election Results and Stock Market Performance: Evidence From Nigeria

2018 ◽  
Vol 5 (2) ◽  
pp. 117
Author(s):  
A.E. Osuala ◽  
U.A. Onoh ◽  
G.U. Nwansi
Keyword(s):  
Stock Market ◽  
Presidential Election ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Secondary Data ◽  
Election Result ◽  
Stock Market Performance ◽  
Event Date ◽  
Study Methodology ◽  
Election Results

The study investigates the effect of Presidential election results on the performance of an emerging stock market using the case of the 2011 and 2015 Presidential elections in Nigeria. Adopting Event Study methodology to analyse the secondary data obtained from the Nigerian Stock Exchange (NSE) and some national dailies, the results of the study suggest that the 2011 presidential election result had negative significant impact on the performance of the stock market. On the other hand, the 2015 Presidential election result had positive but insignificant impact on the stock market as evidenced by the average and cumulative abnormal returns on the event date and one day post-event date- an indication that the result of the 2015 Presidential election was a welcomed development as leadership changed from PDP to All Progressives Congress (APC).

scholarly journals Analysis on the Impact of Short-Term International Capital Flows on Chinese Stock Market on the Basis of VAR Model

2018 ◽  
Vol 10 (8) ◽  
pp. 77
Author(s):  
Ning Wu
Keyword(s):  
Stock Market ◽  
Capital Flows ◽  
Composite Index ◽  
International Capital Flows ◽  
Capital Inflows ◽  
Var Model ◽  
Chinese Stock Market ◽  
International Capital ◽  
Short Term ◽  
The Impact

With the continuous development of global economic integration and financial markets, international capital flows more and more frequently, the frequent flow of international capital will inevitably affect the yield of Chinese stock market. This article uses short-term international capital inflows SS and Shanghai composite index R as research objects. Based on monthly data from January 2002 to October 2017, VAR model was constructed using Eviews8.0 to study the impact of short-term international capital flows on Chinese stock market. Empirical studies have found that short-term international capital flow is the granger cause of changes in the Shanghai composite index yield, while the yield of Chinese stock market will not affect short-term international capital flows. At the end of this paper, relevant suggestions are put forward according to the conclusions.

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