scholarly journals OIL AND GOLD PRICE VOLATILITY ON INDONESIAN STOCK MARKET IN THE PERIOD OF COVID-19 PANDEMIC

2021 ◽  
Vol 23 (2) ◽  
pp. 129-137
Author(s):  
Maria Magdalena Marwanti ◽  
Robiyanto Robiyanto
Keyword(s):  
Financial Markets ◽  
Stock Returns ◽  
Capital Market ◽  
Price Volatility ◽  
Secondary Data ◽  
Developed Countries ◽  
Gold Price ◽  
Future Research ◽  
Analysis Technique ◽  
The Impact

The study aimed to analyze the effects of oil and gold price volatility on stock returns in Indonesia by comparing the period before and during the Covid-19 pandemic. The study took secondary data from the daily closing prices of oil (Brent and WTI), gold, and JCI. The analysis technique used was GARCH (1,1). The study found that oil and gold price volatility did not affect stock returns in the two periods. The impact of the Covid-19 pandemic on financial markets had yielded uncertain results. This finding supported the concept of gold as a safe haven during the financial crisis. The limitations in the study were focusing on the Indonesian capital market, and future research can compare the impact of the Covid-19 pandemic on developing countries with developed countries.

scholarly journals THE IMPACT OF CORONAVIRUS ON FINANCIAL MARKETS OF DEVELOPED COUNTRIES

2021 ◽  
pp. 25-33
Author(s):  
Mehjbeen
Keyword(s):  
Financial Markets ◽  
Financial Market ◽  
Capital Market ◽  
Financial Stability ◽  
Money Market ◽  
World Health ◽  
Future Research ◽  
Time Interval ◽  
Study Results ◽  
The Impact

According to the World Health Organization, tens of millions of confirmed cases and hundreds of thousands of confirmed deaths have been registered worldwide. COVID-19, a kind of coronavirus, has emerged as one of the most serious dangers to the global economy and financial markets in human history. The Covid-19 virus's introduction has caused a global reduction in economic activity, perhaps posing new dangers to financial stability. This study aims to look into and reveal the effect of coronavirus on two financial markets. Ten advanced countries' capital market and money market data with the time interval from March 2020 to November 2020 has been used in this study. Six indices of these financial market Shares, Mutual Funds, Treasury Bills, Certificates of Deposits, Bonds, and Mortgages worked as samples. The research has been conducted on advanced nations USA, Norway, Canada, Germany, Ireland, Sweden, Singapore, Netherlands, Australia, and Switzerland. Panel Regression Analysis, Spearman's rank correlation, and ANOVA are used to estimate the study results. The scholar constructs a weekly panel data of COVID- 19 confirmed cases and financial market indices. The second purpose is to calculate the Risk on the six chosen indices of these markets. COVAR methodology is used to measure the risks among capital market and money markets indices. Interestingly, this research noticed that all financial markets impacted by the coronavirus while the capital market has recorded maximum fluctuations and the stock market show minimum volatility. The final results give a detailed understanding of financial market indices. It will support future research on other money and Capital markets indices and investors after the Coronavirus period. KEYWORDS: Coronavirus, Financial Markets, COVAR, COVID-19 Confirmed Cases. Capital Market. Money Market, Developed economies,

ANALISA PREDIKSI INDEKS HARGA SAHAM GABUNGAN MENGGUNAKAN METODE ARIMA

2020 ◽  
Vol 2 (2) ◽  
pp. 454
Author(s):  
Julkifli Purnama ◽  
Ahmad Juliana
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Time Series Data ◽  
Arima Model ◽  
Secondary Data ◽  
Actual Data ◽  
Series Data ◽  
Analysis Technique ◽  
The Right ◽  
The Capital Market

Investment in the capital market every manager needs to analyze to make decisions so that the right target to produce profits in accordance with what is expected. For that, we need a way to predict the decisions that will be taken in the future. The research objective is to find the best model and forecasting of the composite stock price index (CSPI). Data analysis technique The ARIMA Model time series data from historical data is the basis for forecasting. Secondary data is the closing price of the JCI on July 16 2018 to July 16 2019 to see how accurate the forecasting is done on the actual data at that time. The results of the study that the best Arima model is Arima 2.1.2 with an R-squared value of 0.014500, Schwarz criterion 10.83497 and Akaike info criterion of 10.77973. Results of forecasting actual data are 6394,609, dynamic forecast 6387,551 selisish -7,05799, statistics forecas 6400,653 difference of 6,043909. For investors or the public can use the ARIMA method to be able to predict or predict the capital market that will occur in the next period.

scholarly journals Impact of COVID-19 on the Customer End of Retail Supply Chains: A Big Data Analysis of Consumer Satisfaction

2021 ◽  
Vol 13 (3) ◽  
pp. 1464
Author(s):  
Patrick Brandtner ◽  
Farzaneh Darbanian ◽  
Taha Falatouri ◽  
Chibuzor Udokwu
Keyword(s):  
Data Analysis ◽  
Supply Chains ◽  
Consumer Satisfaction ◽  
Future Research ◽  
Grocery Shopping ◽  
Product Availability ◽  
Analysis Technique ◽  
Retail Chains ◽  
Retail Supply Chains ◽  
The Impact

The COVID-19 pandemic has been one of the biggest disruptive events of recent decades and has had a global effect on society and the economy. The political regulations resulting from COVID-19 also led to significant changes in physical grocery shopping. However, the specific impact of COVID-19 on consumer satisfaction at the customer end of retail supply chains, i.e., the point-of-sale (PoS), has not yet been addressed. By gathering and analyzing consumer satisfaction data (ratings) and sentiments (evaluation comments) available on the open web, the current study evaluates the impact of COVID-19 on consumer satisfaction at the PoS. Focusing on the five biggest retail chains in Austria, the results show that there was a general and significant decline in consumer satisfaction due to the pandemic. The results also show a high impact of political regulations on consumer satisfaction. Furthermore, the text-mining based analysis of evaluation comments indicate that store layout and facilities, as well as product availability and waiting time had a great impact on consumer satisfaction. In total, over 533,000 consumer satisfaction ratings and over 153,000 textual comments have been analyzed, providing the basis for a comprehensive and sound discussion of the impact of COVID-19 on consumer satisfaction and perceptions. Future research could focus on applying the used data analysis technique and the adapted consumer sentiment dimensions in different settings, such as countries other than Austria or smaller retail chains.

Stock Market Reaction on Green-Bond Issue: Evidence from Indian Green-Bond Issuers

2021 ◽  
pp. 097226292110225
Author(s):  
Rakesh Kumar Verma ◽  
Rohit Bansal
Keyword(s):  
Stock Returns ◽  
Financial Institutions ◽  
Stock Price ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Developed Countries ◽  
Low Carbon ◽  
Bond Issue ◽  
The Government ◽  
The Impact

Purpose: A green bond is a financial instrument issued by governments, financial institutions and corporations to fund green projects, such as those involving renewable energy, green buildings, low carbon transport, etc. This study analyses the effect of green-bond issue announcement on the issuer’s stock price movement. It shows the reaction of the stock price after the issue of green bonds. Methodology: This study is based on secondary data. Green-bond issue dates have been collected from newspaper articles from different online sources, such as Business Standard, The Economic Times, Moneycontrol, etc. The closing prices of stocks have been taken from the NSE (National Stock Exchange of India Limited) website. An event window of 21 days has been fixed for the study, including the 10 days before and after the issue date. Data analysis is carried out through the event study method using the R software. Calculation of abnormal returns is done using three models: mean-adjusted returns model, market-adjusted returns model and risk-adjusted returns model. Findings: The results show that the issue of green bonds has a significant positive effect on the stock price. Returns increase after the green-bond issue announcement. Although the announcement day shows a negative return for all the samples taken for the study, the 10-day cumulative abnormal return (CAR) is positive. Thus, green-bond issues lead to positive sentiments among investors. Research implications: This research article will help the government issue more green bonds so that the proceeds can be utilized for green projects. The government should motivate corporations and financial institutions to issue more green bonds to help the economy grow. In India, very few organizations have issued a green bond. It will be beneficial if these players issue green bonds, as it will increase the firms’ value and boost returns to the investors. Originality/value: The effect of green-bond issue on stock returns has been analysed in some studies in developed countries. This is the first study to examine the impact of green-bond issue on stock returns in the Indian context, to the best of our knowledge.

scholarly journals JUMLAH DANA ZAKAT DAN FAKTOR-FAKTOR MAKROEKONOMI YANG MEMPENGARUHINYA

2019 ◽  
Vol 5 (9) ◽  
pp. 743
Author(s):  
Kiki Novitasari ◽  
Suherman Rosyidi
Keyword(s):  
Secondary Data ◽  
Qualitative Approach ◽  
Production Index ◽  
Analysis Technique ◽  
Macroeconomic Indicators ◽  
Saturated Sample ◽  
Independent Variable ◽  
Sample Method ◽  
The Impact

The aim of this study was to know the impact of macroeconomic indicators changes toward the total amount of collected zakah in BAZNAS during the period 2012-2016. This study uses qualitative approach by using liniear regression analysis technique. Futhermore dependent variable used in this study is the amount of zakah, while the independent variable are inflation, gold price, money supply and industrial production index. The determination of sampling uses non probability sampling with saturated sample method, on the other hand, the whole population was used as the sample of this study. Moreover, the data used in this study is secondary data.

scholarly journals Margin requirements and Stock Market Volatility in Bangladesh

2012 ◽  
Vol 3 (2) ◽  
pp. 29
Author(s):  
A. F. M. Mainul Ahsan ◽  
Mohammad Osman Gani ◽  
Md. Bokhtiar Hasan
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Stock Exchange ◽  
Price Volatility ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Margin Requirements ◽  
Margin Requirement ◽  
Daily Stock Returns ◽  
The Impact

Officially margin requirements in bourses in Bangladesh were initiated on April 28, 1999, to limit the amount of credit available for the purpose of buying stocks. The goal of this paper is to measure the impact of changing margin requirement on stock returns' volatility in Dhaka Stock Exchange (DSE). The impact of margin requirement on stock price volatility has been extensively studied with mixed and ambiguous results. Using daily stock returns, we found mixed evidence that SEC's margin requirements have significant impact on market volatility in DSE.

scholarly journals The Financial Implications of the Coronavirus COVID-19 Pandemic: A Review

2021 ◽  
Vol 39 (68) ◽  
Author(s):  
Ilmir Nusratullin ◽  
Nikolay Mrochkovskiy ◽  
Raul Yarullin ◽  
Natalia Zamyatina ◽  
Oksana Solntseva
Keyword(s):  
Financial Markets ◽  
Government Regulation ◽  
Financial Sector ◽  
Developed Countries ◽  
Securities Markets ◽  
Bank Deposits ◽  
Economic Shock ◽  
Spread Of Infection ◽  
The Impact ◽  
Increased Pressure

The COVID-19 pandemic in 2020 was a real shock to the entire global community. It hit both the health systems of the infected countries and the economies. Border closures, quarantines for citizens and disruption of production caused economic shock to many organizations. First, the tourism and transport industry suffered, followed by agriculture and mining, and then all other industries. However, the economic crisis also caused some problems in the financial sector: increased risks of non-compliance with loans, cash outs of bank deposits, increased pressure on the insurance market, panic in commodity and securities markets. The purpose of this study is to examine the impact of COVID-19 on the financial system of developed countries. As part of this study, a review of scientific research in the field of pandemics and finances was conducted, how the spread of infection affected the economy, banking, financial markets, and government regulation in the financial sector as a whole.

scholarly journals Migration and Its Impact on Sustainable Development

2021 ◽  
Vol 8 (1) ◽  
pp. 55
Author(s):  
Muslih Faozanudin ◽  
Shainima Islam
Keyword(s):  
Sustainable Development ◽  
Developing Countries ◽  
International Migration ◽  
Secondary Data ◽  
Developed Countries ◽  
Industrialized Countries ◽  
Population Mobility ◽  
Least Developed Countries ◽  
Skilled Workers ◽  
The Impact

People’s mobility and international migration are quite interesting phenomena to discuss. Until now, there are still differences in views between industrialized countries and developing countries regarding the contribution of migration to development for both sending and receiving countries. This paper aims to analyze based on existing secondary data the linkage between migration and sustainable development. For analysis, this study uses a descriptive approach, with secondary data as the primary source. The analysis found that both sending and receiving countries - benefited from population mobility and international migration. The least developed countries in the economy and overall infrastructure are supplying countries for this migration process, and increasing remittances and skilled workers to help other countries. Although it is realized that this condition is the impact of the weak economic system of developing countries on the one hand and the demographic that occur in advanced industrialized countries on the other. To maintain the stability of the supply chain for economic development, international migration is included as one of the sustainable development programs that apply more humane values. Therefore, migrants should be seen as potential contributors to the growth of sending and receiving countries, and some even claim that they are heroes of foreign exchange. Keywords:  migration, remmitance, sustainable development Mobilitas masyarakat dan migrasi internasional merupakan fenomena yang cukup menarik untuk dibahas. sampai saat ini masih terdapat perbedaan pandangan antara negara industri dan negara berkembang, tentang  kontribusi migrasi terhadap  pembangunan, baik  bagi negara yang asal migrant maupun bagi negara penerima. Makalah ini bertujuan untuk menganalisis berdasarkan data sekunder yang ada mengenai keterkaitan antara migrasi dan pembangunan berkelanjutan. Untuk analisis, penelitian ini menggunakan pendekatan deskriptif, dengan data sekunder sebagai sumber primer. Hasil analisis menemukan bahwa kedua negara-negara pengirim dan penerima - mendapat manfaat dari mobilitas penduduk dan migrasi internasional. Negara-negara kurang berkembang dalam ekonomi dan infrastruktur secara keseluruhan menjadi negara pemasok untuk proses migrasi ini, dan meningkatkan pengiriman uang dan pekerja terampil untuk membantu negara lain. Meskipun disadari bahwa kondisi ini merupakan dampak dari lemahnya sistem perekonomian negara berkembang di satu sisi dan faktor demografi dan kesuburan yang terjadi di negara industri maju di sisi lain. Untuk menjaga stabilitas rantai pasokan pembangunan ekonomi, migrasi internasional dimasukkan sebagai salah satu program pembangunan berkelanjutan yang menerapkan nilai-nilai yang lebih manusiawi. Oleh karena itu, para migran harus dilihat sebagai kontributor potensial bagi pertumbuhan negara pengirim dan penerima,  bahkan ada yang mengklaim bahwa mereka adalah sebagai pahlawan devisa. Kata kunci:  migrasi, pembangunan berkelanjutan, remiten

Research on capital structure determinants: a review and future directions

2017 ◽  
Vol 13 (2) ◽  
pp. 106-132 ◽  
Author(s):  
Satish Kumar ◽  
Sisira Colombage ◽  
Purnima Rao
Keyword(s):  
Capital Structure ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Secondary Data ◽  
Theoretical Models ◽  
Order Theory ◽  
Organizational Level ◽  
Future Research ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to study the status of studies on capital structure determinants in the past 40 years. This paper highlights the major gaps in the literature on determinants of capital structure and also aims to raise specific questions for future research. Design/methodology/approach The prominence of research is assessed by studying the year of publication and region, level of economic development, firm size, data collection methods, data analysis techniques and theoretical models of capital structure from the selected papers. The review is based on 167 papers published from 1972 to 2013 in various peer-reviewed journals. The relationship of determinants of capital structure is analyzed with the help of meta-analysis. Findings Major findings show an increase of interest in research on determinants of capital structure of the firms located in emerging markets. However, it is observed that these regions are still under-examined which provides more scope for research both empirical and survey-based studies. Majority of research studies are conducted on large-sized firms by using secondary data and regression-based models for the analysis, whereas studies on small-sized firms are very meager. As majority of the research papers are written only at the organizational level, the impact of leverage on various industries is yet to be examined. The review highlights the major determinants of capital structure and their relationship with leverage. It also reveals the dominance of pecking order theory in explaining capital structure of firms theoretically as well as statistically. Originality/value The paper covers a considerable period of time (1972-2013). Among very few review papers on capital structure research, to the best of authors’ knowledge; this is the first review to identify what is missing in the literature on the determinants of capital structure while offering recommendations for future studies. It also synthesize the findings of empirical studies on determinants of capital structure statistically.

Client Relationships, Analyst Coverage, and Earnings Management

2021 ◽  
Author(s):  
Zhi Jin ◽  
Bingxuan Lin ◽  
Chen-Miao Lin
Keyword(s):  
Earnings Management ◽  
Financial Markets ◽  
Capital Market ◽  
Mutual Fund ◽  
Conflicts Of Interest ◽  
Analyst Coverage ◽  
Client Relationships ◽  
Client Pressure ◽  
The Impact ◽  
A Company

Financial analysts have two important roles in the capital market. In addition to their informational role, which has been widely studied, they play an important monitoring role. Similar to their informational role, their monitoring role might be negatively affected when they face conflicts of interest. Using a sample of Chinese firms, we show that if analysts are under pressure (i.e., housed in a brokerage firm where specific mutual funds hold large positions in a company covered by the analyst), their role in lowering the firm earnings management activities is significantly compromised. We find that the closer the business relationship between the mutual fund and the brokerage firm, the greater the firm earnings management. Our findings caution investors and regulators to heed the impact of client pressure on analysts' roles in financial markets.

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