scholarly journals Dynamic Transmission of Correlation between Investor Attention and Stock Price: Evidence from China’s Energy Industry Typical Stocks

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Yajie Qi ◽  
Huajiao Li ◽  
Sui Guo ◽  
Sida Feng
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Time Window ◽  
Energy Industry ◽  
Time Varying ◽  
Transmission Characteristics ◽  
Investor Attention ◽  
Correlation Relationship ◽  
Transmission Modes ◽  
The Relationship

The relationship between investor attention and stock prices has been a topic of interest in economics. Previous studies have shown that the correlation relationship between the two changes with time. However, there are few studies to explore the time-varying evolution of the relationship, as well as the transmission characteristics under important cycles. Thus, this paper is dedicated to discover the dynamic transmission characteristics of the correlation between investor attention and stock price. We selected the typical stocks of China’s energy industry, PetroChina and Sinopec, as the research objects, as they occupy a large market share and are representative. And the transaction data and attention data are used to build investor attention indicator. In order to reproduce the dynamic transmission process of correlation at different cycles, sliding time window and complex network are applied. The results show that PetroChina and Sinopec stocks have a weakly negative correlation between investor attention and stock price from 2017 to 2018. However, from the perspective of different cycles, the correlation has time-varying characteristics. As the cycle grows, the types of transmission patterns of the five consecutive days of correlation between the two become less, but the transmission intensity between the modes increases and the transition becomes more regular and inclined. In addition, by mining the important transmission modes and main transmission paths under important periods, we find that the series modes of uncorrelated or weakly positive correlation for five consecutive days dominate the transition of modes in the networks. Also, the closed loop formed by these two important modes and related modes is the main transmission path. These findings can reveal the rules of the typical stock market in China’s energy industry and help investors with different investment cycle preferences make sound decisions.

scholarly journals Systematic illiquidity, characteristic illiquidity, and stock returns: Timeseries analysis

2022 ◽  
Vol 9 (2) ◽  
pp. 72-80
Author(s):  
Soltane et al. ◽  
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Timeseries Analysis ◽  
The Relationship

The objective of this research is to investigate the relationship between illiquidity and stock prices on the Tunisian stock exchange. While previous researches tended to focus on one form of illiquidity to examine this relationship, our study unifies three forms of illiquidity at the same time. Indeed, we simultaneously consider illiquidity as systematic risk, as a characteristic of the market, and as a characteristic of the stock. The aggregate illiquidity of the market is the average of individual stock illiquidity. The illiquidity risk is the sensitivity of the stock price to illiquidity shocks. Shocks of market illiquidity are estimated by the innovations in the expected market illiquidity. Results show that investors on the Tunisian stock exchange do not require higher returns when they expect a rise of market illiquidity, whereas investors on U.S markets are compensated for higher expected market illiquidity. In addition, shocks of market illiquidity provoke a fall in stock prices of small caps, while large caps are not sensitive to market illiquidity shocks. This differs slightly from results based on U.S. data where illiquidity shocks reduce all stock prices but most notably those of small caps. Robustness tests validate our findings. Our results are consistent with previous studies which reported that the “zero-return” ratio predicts significantly the return-illiquidity relationship on emerging markets.

scholarly journals PENGARUH VARIABEL AKUNTANSI TERHADAPPERUBAHAN HARGA SAHAM PERUSAHAAN YANG GO PUBLIC DI BURSA EFEK JAKARTA

2016 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Setyaningsih Setyaningsih
Keyword(s):  
Stock Prices ◽  
Random Sampling ◽  
Stock Price ◽  
Stock Exchange ◽  
Financial Accounting ◽  
Study Analysis ◽  
Price Changes ◽  
Leverage Ratio ◽  
Independent Variables ◽  
The Relationship

The objective of this study is to investigate the relationship between accounting variables and stock price changes in Jakarta Stock Exchange (JSX). Some accounting variables in this study are devidend payout  ratio, assets size, assets growth , leverage ratio, variability in earning and covariability in earning as independent variables, the independent variables are stock  price changes. The study analysis 80 cases of active firms  in  the period of 1994 to 1997.  Data is collected by means of purpo sive random sampling. Regression analysis is used to analyse the data.The  result  of  the study  shows  that  there  is significant  affect  of  the  sevent financial accounting informations in the model as predictor of stock price changes (Y); there are two variables to be dropped because there is multicolinierity among variables. Those variables are leverage ratio (X5) and covariability in earning (X7) . There are five other independent variables affect significantly to stock prices changes (Y), which their contribution is 49%.

scholarly journals Pengaruh Profitabilitas Terhadap Nilai Perusahaan dengan Pengungkapan CSR sebagai variabel Moderasi (Perusahaan yang tergabung di JII dan Indeks SRI-KEHATI periode 2016-2018)

2020 ◽  
Vol 6 (11) ◽  
pp. 2331
Author(s):  
Niswatin Chasanah ◽  
Sylva Alif Rusmita
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Test Sample ◽  
Independent Variables ◽  
Index Stock ◽  
Csr Disclosure ◽  
Corporate Social ◽  
Relationship Of ◽  
The Relationship

This study aims to determine and analyze the effect of profitability (ROA) on stock prices with corporate social responsibility (CSR) as a variable that moderates the two variables. The object of this research is companies incorporated in JII and SRI-KEHATI indexes that meet the test sample criteria during the period 2016 - 2018. This study uses a quantitative approach. Analysis of the data in this study used a moderation regression analysis (MRA). This study uses 20 samples for the JII index and 21 for the SRI-KEHATI index. Data obtained from the company's financial statements incorporated in JII and the SRI-KEHATI index for the period of 2016 - 2018 on the Indonesia Stock Exchange (IDX) website. The results showed that Return On Assets (ROA) had a significant effect on JII stock prices and SRI-KEHATI index stock prices. Furthermore, with CSR as a moderating variable showing the results of research with JII that is partially CSR disclosure shows a significant value which means CSR disclosure is able to moderate the relationship of ROA with JII stock prices. Overall (simultaneous) independent variables (ROA, CSR, ROA * CSR) significantly influence the stock price of JII. Furthermore, the results of research with the SRI-KEHATI index partially disclose CSR as a moderating variable showing a significant value. This means that CSR disclosure is not able to moderate the relationship of ROA with JII stock prices. while overall (simultaneous) independent variables (ROA, CSR, ROA * CSR) affect the stock price of the SRI-KEHATI index.Keywords: Profitability,StockPrice,ROA,CSR

scholarly journals Pengaruh Return On Assets (ROA Terhadap Harga Saham dengan Earning PerShare (EPS) sebagai Intervening (Studi Kasus pada Perusahaan Sub SektorTekstil dan Garmen yang terdaftar di Bursa Efek Indonesia Periode 2013-2016)

2018 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Fiona Mutiara Efendi ◽  
Ngatno Ngatno
Keyword(s):  
Regression Analysis ◽  
Capital Markets ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Rapid Development ◽  
Linear Regression Analysis ◽  
Return On Assets ◽  
Analysis Technique ◽  
The Relationship

The rapid development of capital markets are now attracting the attention of people andcapital owners to invest in capital markets. During the year 2013-2016 the average stock price of the textile and garment enterprises sub-sector experienced a fluctuating condition. The financial ratios that are suspected to affect the ups and downs of stock prices are ROA and EPS. The population of this research are 15 Textile and Garment Sub-Sector Companies listed on Indonesia Stock Exchange in 2013-2016. The analysis technique used is linear regression analysis with SPSS program. This study aims to determine the effect of ROA on stock prices through EPS as a mediator. The results showed that ROA has no significant effect on stock prices, but ROA has a significant influence on the mediation variable that is EPS. EPS variable has positive and significant effect to stock price. ROA and EPS have a significant effect on stock prices. EPS is fully mediated variable and can significantly mediate the relationship between ROA and stock prices. Based on the analysis results, can be concluded that the variables that affect the stock price is EPS, while the ROA variable does not affect the stock price. As well as EPS variables can mediated the relationship between ROA and stock prices. The results of this research, it is expected the company further increase the profitability of the company in order to increase the stock price so that it can give benefit the company and investors.

scholarly journals Time-Varying Impacts of Carbon Price Drivers in the EU ETS: A TVP-VAR Analysis

2021 ◽  
Vol 9 ◽  
Author(s):  
Peng Li ◽  
Hao Zhang ◽  
Yongna Yuan ◽  
Aimin Hao
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Carbon Price ◽  
Paris Agreement ◽  
Fine Tuning ◽  
Time Varying ◽  
Eu Ets ◽  
The European Union ◽  
Oil Gas ◽  
The Eu

This study analyzes the impacts of different drivers on the pricing of EU carbon futures in various periods by using the time-varying parameter vector autoregressive (TVP-VAR) model. The results indicate that: (1) The relationships between oil, gas, electricity, stock prices and carbon price have significant time-varying characteristics and those relationships have experienced an inversion in 2016. This might be due to the pressure of achieving the “EU 20-20-20” targets and the signing of the Paris Agreement as well as the fine-tuning of the European Union Emissions Trading Scheme (EU ETS). (2) The impacts of different drivers on carbon price are various. The carbon price is more sensitive to oil, gas, electricity prices as well as the stock price before the inversion in the short-term, while its response to changes in the stock price after the inversion is more obvious in the mid-long term. (3) After the signing of the Paris Agreement in the second quarter of 2016, the carbon price has a greater response to changes in its drivers. The oil price’s impact on carbon price became the most significant one among them.

scholarly journals PENGUNGKAPAN INFORMASI HUMAN CAPITAL DAN HARGA SAHAM: STUDI PADA HIGH INTELLECTUAL CAPITAL (IC) INTENSIVE INDUSTRIES DI BURSA EFEK INDONESIA

2018 ◽  
Vol 14 (2) ◽  
pp. 113
Author(s):  
Andreas Sugianto ◽  
Felizia Arni Rudiawarni
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Stock Prices ◽  
Information Disclosure ◽  
Stock Price ◽  
Disclosure Of Information ◽  
Key Factor ◽  
The Relationship ◽  
Positive Effect ◽  
Is Value

In the accounting’s world, human capital is a part of an intellectual capital (IC) in a group of intangible assets. Human capital began to be recognized as a key factor of a competitive advantage. Disclosure of information related to human capital also contribute to the reduction of asymmetric information between firms and their investors. This study aims to describe the relationship between human capital information disclosure and stock price. The object of this study are firms in the high Intellectual Capital (IC) intensive industry that disclose information about their human capital.  This study finds that the disclosure of human capital has positive effect on stock prices, particularly the disclosure of information regarding the qualifications and competence of human capital. In other words, the information about human capital is value relevant.

scholarly journals PENGARUH TINGKAT INFLASI, SUKU BUNGA BI, DAN NILAI TUKAR RUPIAH TERHADAP IHSG

2021 ◽  
Vol 10 (2) ◽  
pp. 118-129
Author(s):  
Desi Ratjaya Ningsih ◽  
Nur Aida Arifah Tara ◽  
Muhdin Muhdin
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Quantitative Methods ◽  
Price Index ◽  
Market Conditions ◽  
Negative Effect ◽  
The Relationship

The Composite Stock Price Index (IHSG) is a description of information regarding the movements of all stock prices that affect capital market conditions and produce a trend. There are three factors that mainly influence the IHSG, namely inflation, BI interest rates, and the rupiah exchange rate. The purpose of this study was to examine the relationship between inflation, BI interest rates, rupiah exchange rate and the IHSG in the period of 2016-2020. The method in this research used quantitative methods. The results showed that inflation and BI interest rates have a negative and insignificant effect on the IHSG, while the Rupiah exchange rate has a significant negative effect on the IHSG.Keywords :IHSG, Inflasi, Suku Bunga BI, Nilai Tukar Rupiah

scholarly journals The Impacts Of Institutional Stock Ownership On Stock Returns And Performance: A Financial Market Perspective

2011 ◽  
Vol 3 (3) ◽  
Author(s):  
Johnston Osagie ◽  
Gbolahan Solomon Osho ◽  
Cynthia Sutton
Keyword(s):  
Stock Returns ◽  
Financial Market ◽  
Stock Prices ◽  
Stock Price ◽  
Institutional Ownership ◽  
Small Companies ◽  
Font Size ◽  
And Performance ◽  
The Relationship ◽  
Market Perspective

<p class="MsoBodyText" style="line-height: normal; margin: 0in 0.5in 0pt;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">Recent studies indicate that corporations with high Institutional ownership have higher stock prices than those with less Institutional ownership. Even small companies with high Institutional ownership have higher stock prices in their range. Institutions have researchers and analysts to investigate the financials and the industry potential of the firms. As a result, the perception is that high institutional ownership indicates good value<span style="color: #ff6600;">. </span>This study investigates if the percentage of institutional ownership directly correlates with the price of stocks.<span style="mso-spacerun: yes;">&nbsp; </span>The relationship between the Institutional ownerships and price was prevalent. This was more indicative among the large cap stocks than the small caps stocks.<span style="mso-spacerun: yes;">&nbsp; </span>It was also found that the higher the percentage of Institutional ownership does reflect a higher stock price.<span style="mso-spacerun: yes;">&nbsp; </span>This was manifest among the large caps than the small caps. </span></span></p>

scholarly journals Impact of Interest Rate on Stock Prices Volatility: A Case of Textile Sector of Karachi Stock Exchange

2021 ◽  
Vol 2 (2) ◽  
pp. 149-156
Author(s):  
MUHAMMAD SOHAIL KHALIL ◽  
MUHAMMAD AAMIR NADEEM ◽  
MUHAMMAD TAHIR KHAN
Keyword(s):  
Interest Rate ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Price Volatility ◽  
Stock Price Volatility ◽  
Relationship Of ◽  
The Relationship ◽  
Textile Sector

This study investigates the relationship between interest rate and stock price volatility in textile sector of Karachi Stock Exchange. Initially, EWMA model is used to calculate the volatility of stock prices. Stock returns are calculated as a proxy to stock prices. Afterwards, linear regression analyzes the relation between interest rate and stock price volatility. The significance F change is below the limit of 0.05 showing goodness-to-fit of the model to project the responses from predictor to be reliable. The research concludes the relationship of interest rate with volatility of stock prices as slightly inverse in nature.

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