scholarly journals Volatility of LQ45 Index Situation Before and After Eid al-Fitr

2021 ◽  
Vol 5 (3) ◽  
pp. 379
Author(s):  
Tiar Lina Situngkir ◽  
Nugraha Nugraha

Many factors influence the movement of stocks on the capital market, one of which is a major event that occurs at a certain time, such as religious holiday event. This study aims to examine whether or not there is a change in the level of stock volume movement and abnormal return of stocks affected by the religious holiday event, namely Eid al-Fitr, thus affecting transactions in the capital market. The variable studied is the volume of shares that gives an idea of the number of outstanding shares traded every day and the abnormal variable return of shares is the difference between the actual return that occurs with the return of expectations. Both variables can provide information that is expected to help investors manage investment strategies at major events such as Eid al-Fitr. The data used is secondary data from the www.investing.com sites from 2013 to 2019, namely 15 days before and 15 days after Eid al-Fitr. The method used is Wilcoxon Signed Ranks test because it turns out that the processed data is not distributed normally after being tested for normality. The results of this study prove that there is no difference in the abnormal level of return of shares before and after Eid al-Fitr, and proves the hypothesis that there is a change in stock volume before and after the Eid al-Fitr event.

2020 ◽  
Vol 2 (2) ◽  
pp. 454
Author(s):  
Julkifli Purnama ◽  
Ahmad Juliana

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.


2019 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Akpokerere Othuke Emmanuel ◽  
Okoroyibo Eloho Elizabeth

The paper examined capital market performance as a panacea for economic growth in Nigeria from 1986-2016. A number of related literatures have shown that the Nigerian capital market variables studied has satisfactory market performance and has contributed to economic growth. Yet some researchers observed that the capital market has not significantly mobilized and effectively channeled substantial capital to the real sector of the economy. What could have been the reason for the divergences? The study was anchored on the demand following hypothesis. Secondary data were sourced from Central Bank of Nigeria Statistical Bulletin and Nigeria Stock Exchange fact-book of various editions. The paper adopted the ex-post facto research design while ordinary least square regression techniques was used to process the data gathered using E-views 9.0 software. The null hypotheses (Ho) were tested at 5% level of significance. The findings of the paper revealed that there is negative and insignificant relationship between capital market and the variables studied. The paper conclude that liquidity of the capital market is pivotal for economic growth in Nigeria while the study recommended that all tiers of government should be encouraged to fund their realistic long term developmental program through the Nigeria capital market.


2020 ◽  
Vol 202 ◽  
pp. 12031
Author(s):  
Rony Darmawansyah Alnur ◽  
Meita Veruswati ◽  
Al Asyary

Social distancing shall be effective to control Covid-19 spread. However, its effectiveness is doubtfully due to late response of authority in a low-resource setting such as Indonesia. This study aims to present the effectiveness of large-sale social restriction (LSSR) as the social distancing policy by analyze the chronological as well as the difference between before and after LSSR implementation in Jakarta, Indonesia. The secondary data analysis was derived from surveillance data for Covid-19 from government authorities, including the Ministry of Health and the local government of Jakarta. Two statuses related to Covid-19 were examined in the study: incidence and suspect. These Covid-19 statuses were presented in daily rates with pre and post of LSSR policy in Jakarta, Indonesia. LSSR policy had just implemented over a month after the first multiple cases found. The number of positive confirmed patients increased significantly after the LSSR (p-value = 0.000; mean difference = -70.532). This study’s findings showed that social distancing was not effective to control Covid-19 incidence which indicates the late response of the authorities.


2021 ◽  
Vol 10 (3) ◽  
pp. 186-198
Author(s):  
I Komang Wisnu Wardhana ◽  
Hermanto Hermanto ◽  
I Nyoman Nugraha AP

The purpose of this study was to determine the difference in the average abnormal return and trading volume activity before and after the enactment of the tax amnesty law on the LQ-45 index. The type of data used in this study is secondary data with data collection techniques using the documentation method. Determination of the sample in this study using purposive sampling method with certain criteria so as to obtain 45 samples. The analytical technique used in this research is paired sample t-test with an observation period of 10 days. The results of this study indicate that: (1) There is no difference in the average abnormal return before and after the enactment of the tax amnesty law. (2) There is no difference in the average trading volume activity before and after the enactment of the tax amnesty law. 


2020 ◽  
Vol 11 ◽  
pp. 66-83
Author(s):  
Dhan Raj Chalise

The capital market plays an importance role in an economy and provides the opportunity to the investor for the mobilization and channelization of funds. Nepalese capital market is in growing and improving phase. The objective of this study is to analyze the evaluation of the existing status of the capital market in term of its composition of types of the capital market and to examine the impact of capital mobilization in Gross Domestic Product (GDP) and to examine the contribution of capital market in financial resources and GDP. Besides, the study examines the share transaction in Nepal Stock Exchange (NEPSE) and its impact on NEPSE Index. The study period of 2000/01 to 2018/19 has been used for study purposes. Through the use of descriptive research design, the trends of capital market development track after 2000/01 to present status has been presented. Secondary data are analyzed through the use of regression and other descriptive statists to convert the information into data. The result indicates that the ordinary shares in the primary capital market and market capitalization in the secondary market has significant contribution for the capital market in Nepal. Also, the study reveals that there is a significant and positive impact of capital mobilization on GDP and the number of share transactions on the NEPSE Index in the Nepalese capital market. Hence there is a significant contribution of the capital market for financial resources mobilization and GDP of Nepal. The study reports for modernization and systematization of the capital market need more optimal efforts from concerned stakeholders.


2019 ◽  
Vol 11 (1) ◽  
pp. 462
Author(s):  
Cordelia Onyinyechi Omodero

Capital market plays a crucial role in a country’s national development and economic capacity building. However, there are economic forces that determine the success of a capital market development in every nation. This study investigates the role of these economic indicators in determining the capital market performance in Nigeria using secondary data covering a period from 1998 to 2018. These data have been sourced from the World Bank Development Indicators, International Monetary Fund and CBN Statistical Bulletin, 2018 edition. The results from the regression analysis indicate that exchange rate and inflation rate have immaterial undesirable consequence on capital market capitalization (CMC) while the interest rate exerts a weighty harmful effect on CMC. The study also provides evidence that the gross domestic product (GDP) has a substantial positive impact on CMC. The study among others suggests that the growth of the economy should be sustained in order to keep boosting the capital market. However, the economic indicators such as inflation, interest rate and exchange rate should be kept under strict control by the relevant authorities in the country.


2017 ◽  
Vol 25 (3) ◽  
pp. 339-367
Author(s):  
Youngmin Choi ◽  
Bohyun Yoon

This paper focuses on the strategic application based on the empirical results of risk-return relationship against the classical concept. Empirical analysis from domestic data, we verify that the traditional concept-‘high risk, high return’ relationship are maintained, however, we confirm the falling pattern in the highest total volatility group. Even though we implies double sorting method to control the well known systematic factor such as BM and size, we still confirm such abnormal risk-return relationship. Furthermore, we perform sub-period analysis before and after the liberalization of Korean capital market and we find such abnormal risk-return relationship is appeared after the liberalization. Based on our empirical results, we establish and verify the new benchmark that evenly allocate highest volatility portfolio to sub-volatility portfolio. Under the new benchmark, we confirm the expansion of the efficient frontier and the improvement of Sharpe ratio. We believe that our results provide an applicability research of smart beta strategy and new benchmark based on such strategy. We expect our research to be used as preliminary study to overcome the era of “new normal” and to reform the investment strategies correspond to segmentation of benchmark.


Author(s):  
Morenly Marchel Welley ◽  
Franky N. S Oroh ◽  
Mac Donald Walangitan

ABSTRACT: The existence of an extraordinary event that occurred, namely the Covid-19 Pandemic, caused the global and national economies to experience obstacles. Not only does it have an impact on the economy, but this also has an impact on the capital market. The President's announcement regarding the development of the Covid-19 vaccine provides hope for the economy and capital market to revive. The state-owned pharmaceutical company appointed by the government has also benefited from vaccine development. The purpose of this study was to determine the difference in the share price of BUMN Pharmaceutical Companies before and after the development of the corona virus vaccine (Covid-19). The data analysis technique used in this study was the Paired sample t-test. The results showed that (1) the stock price of KAEF before the announcement of vaccine development and the stock price of KAEF after the announcement of vaccine development was a significant difference and (2) the stock price of INAF before the announcement of vaccine development and the stock price of INAF after the announcement of vaccine development had a significant difference.


2017 ◽  
Vol 2 (02) ◽  
Author(s):  
Ninik Sumarwiyah ◽  
Tries Ellia Sandari

ABSTRACTAfter the passing of Law No. 6 of 2014 on 15th January 2014 This is a phenomenon that is quite large. Amendment Act 6 of 2014 occurred considerable changes ranging from power to regulate their own village to changes in the budget revenue and expenditure of the village. The purpose of this study was to determine how the budget revenue and expenditure village before and after the application of the law no.6 of 2014. This study used descriptive qualitative method. Types of data sources used are primary data and secondary data. The technique of collecting data by interview and documentation. Results of the discussion in this study is the budget revenue and expenditure village before and after the application of law No. 6 of 2014 concerning the village were analyzed by law no.6 of 2014 and related government regulations and can be obtained from the difference in the format of the structure, development and a recording system used in the kedungpapar village. This conclusion shows that before and after the application of law No. 6 of 2014 on the village applied in villages there are some fundamental differences from the format structure, up to the recording system development and preparation of budget revenue and expenditure of the village. So it takes the human resources better in order to improve the quality in the budget statement of revenue and expenditure of the village and in the preparation of the budget system is required to be accountable, transparent and participatory. Keywords: Budget, Budget revenues and expenditures of the village, a law on village


2021 ◽  
Vol 18 (1) ◽  
pp. 92
Author(s):  
Nugrahini Susantinah Wisnujatia ◽  
Suwandi S. Sangadji

<p><em>The use of pesticides in rice production has an impact on the environment. Pesticides are chemicals used to kill or control pests. The use of pesticides carries some risks, but farmers are used to using pesticides. However, the use of pesticides may lead to the contamination of groundwater. Therefore, the research question in this study was whether there any differences in rice production before and after pesticide reduction in Indonesia. This study aimed to analyze the difference between rice production before and after pesticide reduction in Indonesia. The secondary data in this study were rice production data from FAO. Data from 1968 to 1992 were data about rice production before reducing pesticide use in Indonesia, while data from 1993 to 2017 were data about rice production after reducing pesticide use in Indonesia. The applied data analysis was paired sample t-test using SPSS 25. The results indicated that there is a significant difference between rice production before and after reducing pesticide use in Indonesia. </em></p>


Sign in / Sign up

Export Citation Format

Share Document