scholarly journals REAKSI PASAR MODAL INDONESIA TERHADAP PERISTIWA PERANG DAGANG AMERIKA SERIKAT DAN CHINA

2021 ◽  
Vol 5 (1) ◽  
pp. 50-59
Author(s):  
Yani Rahmawati ◽  
Hendra Gunawan
Keyword(s):  
United States ◽  
Capital Market ◽  
Stock Price ◽  
Abnormal Returns ◽  
Secondary Data ◽  
The United States ◽  
Wilcoxon Test ◽  
Stock Index ◽  
Significant Difference ◽  
Trade War

This research is an event study which aims to analyze the reaction of the Indonesian capital market, especially on LQ45 shares before and after political events that occur abroad. The event that became the object of observation was the trade war that occurred between the United States and China by using 12 events related to trade wars starting from 2014 to 2019, using the abnormal return indicator. The sample in this study are companies that are in the LQ45 stock index. The data used is secondary data in the form of the company's daily closing price and the Composite Stock Price Index (CSPI). The statistical test used to test the research hypothesis is the paired t-test which was tested on 11 events, and there was 1 event using the Wilcoxon test. The results showed that the trade war between the United States and China did not result in a significant difference in abnormal returns on LQ45 stocks with the observed period. So it can be said that the Indonesian capital market did not react to the 12 events of the trade war between the United States and China.

scholarly journals Analisis Reaksi Investor di Bursa Efek Indonesia pada Pelantikan Joko Widodo

2020 ◽  
Vol 12 (1) ◽  
pp. 50
Author(s):  
Komang Lia Karina ◽  
I Nyoman Sujana ◽  
M. Rudi Irwansyah
Keyword(s):  
Trading Volume ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Secondary Data ◽  
Wilcoxon Test ◽  
Stock Index ◽  
Stock Trading ◽  
Significance Level ◽  
Significant Difference ◽  
Before And After

This study aimed to analyze the reaction of investors on Indonesia Stock Exchange to the inauguration of the 8th President by observing whether there were any significant differences in abnormal returns and stock trading volume activities before and after the event. The observation period used in this study was 10 days, with details of each 5 days before and after the President's inauguration event that occurred on 20 October 2019. This research was quantitative research and used daily transaction data on the market capital as a secondary data source. The samples used were companies that were included in the LQ45 stock index for the period August 2019 - January 2020. A non-parametric test in the form of Wilcoxon test was used to test the hypothesis. The results of this study showed that there were no significant difference in abnormal return and stock trading volume activity in the period before and after the event. This was evidenced by the probability value above the significance level of 5%. Thus, the results of this study were stated that there was no reaction from the investor related to the event of the inauguration of the 8th President in Indonesia.

scholarly journals INVESTOR PERLU MENGINDENTIFIKASI INDEKS SAHAM USA UNTUK MEMPREDIKSI FLUKTUASI IHSG: LINCOM ANALYSIS

2018 ◽  
Vol 16 (2) ◽  
pp. 9-17
Author(s):  
Tri Widianto ◽  
Yenni Khristiana ◽  
Nugroho Wisnu Murti
Keyword(s):  
United States ◽  
Stock Price ◽  
Composite Index ◽  
Sampling Technique ◽  
The United States ◽  
Stock Index ◽  
P Value ◽  
Stock Indices ◽  
Significant Difference ◽  
The Usa

First objective of this study is to identify the influence of the fluctuations in the entire United States stock index on the Indonesian Composite stock Index. The results of thisstudy be used to predict Indonesian Composite indexes in a certain period of timebase of USA indexes fluctuation. The second objective is to find out whether there was a significant difference between the influence of the United States stock indexes on the Indonesian composite index. We used time series secondary data of daily stock price index over in five years (January 1, 2013 to December 31, 2017). The sample selection method used non-probability sampling with purposive sampling technique. We used robust simple regressionto achieve the first goal is, while the second goal used the linear combination. The results analysis showed that all of types of United States stock indices are partially significant and positive to Indonesian Composite index fluctuations (P-Value <0.05). Several types of USA stock indices have a significantly different coefficient in influencing Indonesia's Composite index between the Dow Jones Composite and the NYSE Composite and Dow Jones Composite with OTCM ADR (P-Value <0.05). Thus, the results of this study provide advice to investors, especially the Swinger and Scalper types, that considering the fluctuations in the USA index as a stock investment decision in Indonesia, it does not only consider one type of index, which is currently the headline of the stock index in the USA for example (Dowjones 30). However, consider other indices both composite and specific composite.

scholarly journals Analysis of Covid-19 Impact on Stock’s Abnormal Return in Sub Cigarette Sector Companies Listed on BEI

2021 ◽  
Vol 03 (01) ◽  
Author(s):  
May Mulyaningsih ◽  
◽  
Sri Hartini Sri Hartini ◽  
Resta Anggraeni ◽  
Denis Putra Mahendra ◽  
...  
Keyword(s):  
Stock Price ◽  
Abnormal Return ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Abnormal Returns ◽  
Secondary Data ◽  
Analysis Data ◽  
Test Analysis ◽  
Significant Difference ◽  
The Impact

Covid-19 is an international pandemic that has paralyzed the national economic sector. This study aims to analyze the impact of Covid-19 on stock’s abnormal return in cigarette sub sector companies listed on the Indonesia Stock Exchange in the January to May 2020 period. The population of this study is 5 cigarette sub sector companies listed on the Indonesia Stock Exchange in 2020. The research sample selection uses census method so as to obtain 5 sample companies with an observation period of 5 months (January to May 2020). Secondary data in this study regarding stock’s abnormal returns with actual return and market return proxies. Data obtained from the company's daily stock price and composite stock price index. Descriptive statistical analysis, data normality test analysis and hypothesis test analysis are processed using SPSS 25. Statistical test with paired sample t test showed no significant difference in abnormal return between the period of 52 days before and when WFH with a significant level of 95% (α = 0.05). From the SPSS test results it is known that the significance value obtained is equal to 0.911. When compared with the significance value that has been set. The value is greater (α> 0.05). So H1 which states there are differences in stock’s abnormal returns before and during the WFH Covid-19 is rejected.

scholarly journals THE PHENOMENON OF RATIFYING REVISION OF THE KPK LAW: HOW INVESTOR REACTED?

2021 ◽  
Vol 11 (1) ◽  
pp. 51-63
Author(s):  
Versiandika Yudha Pratama ◽  
Happy Sista Devy
Keyword(s):  
Event Study ◽  
Stock Price ◽  
Abnormal Return ◽  
Abnormal Returns ◽  
Secondary Data ◽  
Sampling Technique ◽  
T Test ◽  
Average Abnormal Return ◽  
Significant Difference ◽  
Before And After

This research aimed to determine there are difference in average abnormal returns of companies in the Jakarta Islamic Index (JII) before and after phenomenon the revised Corruption Eradication Commission Act, which is on September 17th, 2019. This research use event study for method and the data in this study are secondary data in the form of stock price. Sampling technique uses purposive sampling method. Determined sampling technique, 27 companies were obtained as research samples. Tests conducted are one sample t-test and paired sample t-test. The result of the one sample t-test showed that the phenomenon of ratifying the revision of the KPK law becomes meaningful information to investors and investors show that reactions to these event. It showed by the result of significant and negative abnormal returns in the few day before and several days after phenomenon. The result of the second hypothesis testing indicate that there is no significant difference the average abnormal return before and after the ratification of revised Corruption Eradication Commission Act   Keywords: Revision of KPK Law, Average Abnormal Return, Event Study

scholarly journals DAMPAK COVID-19 TERHADAP INDEK HARGA SAHAM IDX BUMN20 TAHUN 2020

2022 ◽  
Vol 6 (1) ◽  
Author(s):  
Agus Munandar ◽  
Aulia Safira ◽  
Edwin Wiguna
Keyword(s):  
Economic Growth ◽  
Capital Market ◽  
Stock Price ◽  
Price Index ◽  
Limited Liability ◽  
Secondary Data ◽  
Stock Index ◽  
Limited Liability Company ◽  
The Impact ◽  
A Company

This article analyzes the impact of stock price efficiency on the Covid-19 event in 2020. As a capital market tool, shares are interpreted as evidence that a person has equity participation in a company or limited liability company. The emergence of the impact of Covid-19 on the price index is detrimental to the country's economy. State-Owned Enterprises (BUMN), which are the drivers of economic growth, has also been affected by the Covid-19 pandemic. This analysis needs to be carried out to find out the impact of Covid-19 on the stock price of IDX BUMN20 regarding the effects before and before the outbreak of the Covid-19 virus in Indonesia in 2020. The research method used is exploratory descriptive with a quantitative approach and the data collected is descriptive. Secondary data from the IDX and the Central Statistics Agency regarding the condition of economic growth and the SOE stock price index in 2020. Based on the results obtained, the first conclusion is that Indonesia's economic growth from 2019 was 5.02% and in 2020 was 2.07%, so that economic growth decreased from 2019 to 2020 by 2.95. Furthermore, the IDX BUMN20 stock index also fell to 18.39% throughout 2020.

Perang Dagang Amerika Serikat dan Tiongkok di Masa Pandemik COVID-19

2021 ◽  
Vol 3 (1) ◽  
pp. 32
Author(s):  
Fuad Azmi
Keyword(s):  
United States ◽  
Global Economy ◽  
Secondary Data ◽  
Analytical Framework ◽  
The United States ◽  
Great Power ◽  
Main Challenge ◽  
Trade War ◽  
Zero Sum ◽  
National Economies

        The presence of COVID-19 at the beginning of 2020 caused instability in the global economy. This impact was also felt by the United States and China, which were involved as actors in the trade war. New dynamics have emerged amid the COVID-19 pandemic which directly impacts the national economies of the two countries. This paper aims to analyze the efforts of the United States and China in maintaining the economic strength of the two countries through the opportunities and challenges that arise amid the pandemic as a great power country. The discussion is presented through the analytical framework of the concept of struggle of power and zero-sum game in the theory of mercantilism in the study of global political economy. In its preparation, this paper uses qualitative research methods based on descriptive case studies using secondary data collection techniques through literature studies. The results of the study conducted showed that the United States and China have significantly different methods and priority scales in dealing with COVID-19, but have fundamental similarities in the concept of restructuring the country's economy. America's main challenge is still dealing with the country's internal problems, while China's challenge lies in rebuilding its trust and credibility in the eyes of the world. On the other hand, the vulnerability of the global economy in various countries can be an opportunity for great power countries to expand their influence and gain power in the international state system. Where parties who have more influence in the global economy have a higher chance of winning the trade war.Keywords: COVID-19, Trade War, economics, Opportunities, and Challenges 

scholarly journals KAUSALITAS BI RATE, INFLASI DAN INDEKS HARGA SAHAM

2012 ◽  
Vol 11 (2) ◽  
Author(s):  
R. Adisetiawan .
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Financial Institution ◽  
Stock Exchange ◽  
Composite Index ◽  
Secondary Data ◽  
Stock Index ◽  
Test Results ◽  
Close Relationship ◽  
Causality Tests

This study aims to analyze the causal relationships between variables of inflation, BI rate, and stock index and the effects of inflation and BI rate on the Indonesia Stock Exchange composite index. Samples taken are data from January 1995 to March 2012. The research data used are secondary data published by Bank Indonesia (BI) and the Capital Market Supervisory Agency and Financial Institution Supervisory Agency (Bapepam-lk) in the form of capital market statistics are then analyzed using Granger causality tests and Multiple Regression. The results of this study revealed that the 99% confidence level (a = 0.01); during the period 1995.1-2012.3 causal relationship exists between inflation, BI rate, and the Indonesia Stock Exchange composite index. The test results obtained by regression adjusted R-square value of 52.3%, this suggests that the movement patterns of stock price index in capital markets-related changes in various macroeconomic variables, one of which is a negative coefficient BI rate to Indonesia's capital market indices. The results also revealed that there was a very close relationship between the variables of inflation and BI rate to the CSPI, as evidenced by the magnitude of the correlation (R) of 72.6%.

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.

A Global Perspective on Securitized Debt

2018 ◽  
Author(s):  
Steven L Schwarcz
Keyword(s):  
United States ◽  
Financial Crisis ◽  
Capital Market ◽  
Global Financial Crisis ◽  
The United States ◽  
Global Perspective ◽  
Capital Markets Union ◽  
The Global Financial Crisis ◽  
Asset Backed Securities ◽  
The Eu

Securitisation represents a significant worldwide source of capital market financing. European investors commonly invest in asset-backed securities issued in U.S. securitisation transactions, and vice versa One of the key goals of the European Commission's proposed Capital Markets Union (CMU) is to further facilitate securitisation as a source of capital market financing as a viable alternative to bank-based finance for companies operating in the EU. To that end, this chapter explains securitisation and attempts to put its rise, its decline after the global financial crisis, and its recent CMU-inspired revival into a global perspective. It examines not only securitisation's relationship to the financial crisis but also post-crisis comparative regulatory approaches in the EU and the United States.

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