scholarly journals Analisis Kinerja Saham Syariah Dan Pengaruhnya Terhadap Respon Pasar Pada Perusahaan Yang Tercatat di Jakarta Islamic Indeks

2011 ◽  
Vol 1 (2) ◽  
pp. 161
Author(s):  
Ratna Utami ◽  
Maha Putra Kusuma Nugraha
Keyword(s):  
Parametric Analysis ◽  
Trading Volume ◽  
Excess Return ◽  
Rate Of Return ◽  
Market Response ◽  
Stock Trading ◽  
Expected Return ◽  
Stock Performance ◽  
Unit Of Analysis ◽  
Units Of Analysis

The purposes for this research to describe performance stock of sharia and its influence on market response to the companies listed on the Jakarta Islamic Index (JII). In this research, researchers will describe the condition of the stock performance of sharia with approach the rate of return and risk. The population of research is Islamic stocks listed in the JII for the period December 2008-November 2010 and sampled in this study a total of 17 issuers of sharia using purposive sampling. The unit of analysis in the research is the performance of the stock by using the excess return and excess return to beta ratio, rate of return based on expected return and risk (beta). For to see the effect in response to market, units of analysis used is technical analysis with approach to stock trading volume and high and lows, as well as using non-parametric analysis to see how investors choise stocks sharia evenly. The result of study show total of 17 issuers provide the return on stocks is positive. Excess return, there are 16 competent stock to be invested and based on counting of excess return to beta, 16 sharia stocks is good to invested and has good performance. Islamic stock performance in Jakarta Islamic Index has an influence on the market response is significantly. Keywords: Stock Performance on JII, Returns and Risk, Market Response.

scholarly journals The Effect of Inflation Rate, Exchange Rate, The Certificate of Bank Indonesia (SBI) Interest Rate and Sharia Stock Trading Volume on Sharia Stock Performance in Companies Listed on the Indonesian Sharia Stock Index (ISSI)

2021 ◽  
Vol 8 (3) ◽  
pp. 326
Author(s):  
Teddy Sumirat Bassar ◽  
Nury Effendi ◽  
Achmad Kemal Hidayat ◽  
Budiono Budiono
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Trading Volume ◽  
Research Method ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Stock Index ◽  
Stock Trading ◽  
Stock Performance

This study aims to determine and analyze the effect of the inflation rate, exchange rate, SBI interest rate and Sharia stock trading volume on the performance of Sharia stocks in companies listed on the Indonesian Sharia Stock Index. In this study, a research model was created using Sharia stock performance as the dependent variable. While the independent variables are the inflation rate, exchange rate, certificate of Bank Indonesia (SBI) interest rate and Sharia stock trading volume. The research method used is quantitative research method with multiple regression models using panel data. The research object employs Sharia stocks from companies that are in the Indonesian Sharia Stock Index (ISSI), namely Sharia stocks that are listed on the stock exchange, active, and meet the requirements of the Capital Market in Indonesia during the period January 2014 to December 2018. The object of this research includes all 392 companies using purposive sampling technique. Further, the samples used are 278 companies that meet the requirements. Based on the results, it shows that the inflation rate has no effect on the performance of Sharia stocks. Next, the exchange rate and the SBI interest rate have a significant negative effect on the performance of Sharia stocks, while the trading volume of Sharia stocks has no effect on the performance of Sharia stocks.

ANALISIS PORTOFOLIO OPTIMAL DENGAN MENGGUNAKAN MODEL INDEKS TUNGGAL PADA SAHAM IDX BUMN20 DI BURSA EFEK INDONESIA JANUARI 2018-JANUARI 2019

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Mochamad Andik Firmansyah
Keyword(s):  
Stock Exchange ◽  
Optimal Portfolio ◽  
Rate Of Return ◽  
Portfolio Risk ◽  
Expected Return ◽  
Purposive Sampling ◽  
Single Index ◽  
Index Model ◽  
Market Return ◽  
Single Index Model

Penelitian ini bertujuan untuk menentukan level of expected return dan the best risk of optimal portfolio  formation dengan menggunakan Single Index Model pada saham IDX BUMN 20 yang tercatat di Indonesia Stock Exchange dari bulan Januari 2018 sampai January 2019. Saham IDX BUMN 20 yang tercatat di Indonesia Stock Exchange dengan populasi sebanyak 20 perusahaan. Dengan menggunakan populasi sebesar 20 perusahaan maka peneliti menggunakan purposive sampling, dan ternyata hanya 18 perusahaan saja yang ditemukan memenuhi kriteria penelitian ini. Penelitian ini juga menggunakan metode Kuantitatif Deskriptif. Analisa data pada penelitian ini untuk menentukan saham-saham mana saja yang termasuk the optimal portfolio, dan juga the level of proportion of 1 funds yang termasuk juga dalam kategori the optimal portfolio dan the level of expected return serta the best risk of the optimal portfolio yang terbentuk dengan menggunakan Single Index Model. Hasil dari penelitian ini menunjukan bahwa terdapat 5 perusahaan dengan kategori the optimal portfolio dari 18 sampel perusahaan pada saham IDX BUMN 20 dengan tingkat tertinggi dari level of proportion of 1 funds ditemukan pada PTBA share sat 1.89333 or 189,333%, di lain pihak dengan tingkat terendah adalah pada TLKM shares at -2.13488 or -213.488% yang berarti bahwa saham TLKM adalah negatif dan harus dijual dalam jangka waktu pendek sebesar 213,488% dari dana yang dimiliki oleh para inventor dan menghasilkan rate of return yang diharapkan dari formasi optimal portfolio sebesar 0.17583 or 17.583% lebih tinggi dari yang diharapkan oleh market return sebesar 0.00264 or 0.264% dan memiliki tingkat portfolio risk borne sebesar 0.10384 or 10,384%, lebih kecil dari the risk of market sebesar 0.03367 or 3,367% dan beta market sebesar 1.Kata Kunci : Portfolio, Optimal Portfolio, Single Index Model.

scholarly journals What Is Known about Elementary Grades Mathematical Modelling

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Micah S. Stohlmann ◽  
Lluís Albarracín
Keyword(s):  
Mathematical Modelling ◽  
Secondary Level ◽  
Elementary Level ◽  
Future Research ◽  
Elementary Grades ◽  
Student Beliefs ◽  
Assessment Data ◽  
Unit Of Analysis ◽  
Units Of Analysis ◽  
Conceptual Competence

Mathematical modelling has often been emphasized at the secondary level, but more research is needed at the elementary level. This paper serves to summarize what is known about elementary mathematical modelling to guide future research. A targeted and general literature search was conducted and studies were summarized based on five categories: content of mathematical modelling intervention, assessment data collected, unit of analysis studied, population, and effectiveness. It was found that there were three main units of analysis into which the studies could be categorized: representational and conceptual competence, models created, and student beliefs. The main findings from each of these units of analysis are discussed along with future research that is needed.

scholarly journals ANALISIS PORTOFOLIO SEBAGAI DASAR PENGAMBILAN KEPUTUSAN INVESTASI SAHAM YANG TERDAFTAR DI BEI

IQTISHODUNA ◽  
2013 ◽  
Author(s):  
Sri Yati
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Analytical Method ◽  
Stock Exchange ◽  
Investment Decisions ◽  
Portfolio Analysis ◽  
Rate Of Return ◽  
Expected Returns ◽  
Risk Level ◽  
Expected Return

This study aims to analyze rate of return and risk as the tools to form the portfolio analysis on 15 the most actives stocks listed in Indonesian Stock Exchange. Descriptive analytical method is used to describe the correlation between three variables: stock returns, expected returns of stock market, and beta in order to measure the risk of stocks to help the investors in making the investment decisions. The research materials are 15 the most actives stocks listed in Indonesian Stock Exchange during 2008-2009. The results show that PT. Astra International Tbk. has the highest average expected return of individual stock (Ri) of 308,3355685, while PT. Perusahaan Gas Negara Tbk. has the lowest of -477,0827847. The average expected return of stock market (Rm) is 0,00247163. PT. Astra International Tbk. has the highest systematic risk level of 20229,14205, while the lowest of -147,5793279 is PT. Kalbe Farma Tbk. Furthermore, the results also indicate that there are 9 stocks can be combined to form optimal portfolio because they have positive expected returns.

scholarly journals The Capital Market Response to The Announcement of The 2019-2024 Indonesia Onward Cabinet System

2021 ◽  
Vol 19 (2) ◽  
Author(s):  
Clara Trimawarningsih Saravia Jegarut ◽  
Caecilia Wahyu Estining Rahayu ◽  
Ima Kristina Yulita
Keyword(s):  
Event Study ◽  
Capital Market ◽  
Signaling Theory ◽  
T Test ◽  
Market Response ◽  
Positive Signal ◽  
Estimation Model ◽  
Expected Return ◽  
Study Research ◽  
Window Period

This research aims to examine capital market response to the 2019-2024 Indonesia Onward Cabinet System announced by President Jokowi. This event study research used market estimation model to estimate the expected return with an estimated period of 100 days and window period of seven days. There were 90 companies that are the member of Kompas Index 100 as the sample used in this research. T-test was used to analyze the data. The result shows that the announcement System of Indonesia Onward Cabinet 2019-2024 was responded positively and significantly by capital market. The result supports signaling theory in which the announcement of the 2019-2024 Indonesia Onward Cabinet System gave positive signal (influence) on capital market.

scholarly journals SELEKSI KINERJA SAHAM TERCATAT DI BURSA EFEK JAKARTA MENGGUNAKAN MODEL JENSEN PADA MASA TRANSISI SIKLUS EKONOMI

2006 ◽  
Vol 5 (1) ◽  
Author(s):  
Mohamad Samsul
Keyword(s):  
Lead Time ◽  
Stock Return ◽  
Stock Selection ◽  
Training Set ◽  
Expected Return ◽  
Stock Performance ◽  
The Past ◽  
The Difference ◽  
Actual Return ◽  
Model Approach

The purpose of this research is to select the undervalued stock based on the Jensen's model approach. Data used is monthly stock return for 24 months during period of the year 2004 to 2005. Population used is 314 kind of stocks. The result of stock selection shows average undervalued stock of 53 or 17% of stock available for the year 2005. By experiment of 6 kind of initial set, 1 month lead time and 12 time training set, the result shows that the Jensen's model is not enough accurate to estimate the return for the next one month. The average monthly expected return of 13,7% and actual return of 2,9% shows the difference statistically significant. Eventhough, the actual return 2,9% still higher than market return IHSG BEJ of 1,6% on the monthly average. The correlation between the past stock performance and the future stock return is negative and not significant. The difference between return of high past stock performance and low past stock performance is not significant. The correlation between past beta and stock return is not significant. The difference between return of high past beta and low past beta is not significant.

scholarly journals THE XBRL TECHNOLOGY AND MARKET EFFICIENCY IN BANKING COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE (IDX)

2020 ◽  
Vol 4 (1) ◽  
pp. 26
Author(s):  
Erni Jayani ◽  
Jumiadi Abdi Winata ◽  
Khairunnisa Harahap
Keyword(s):  
Information Asymmetry ◽  
Market Efficiency ◽  
Financial Reporting ◽  
Stock Prices ◽  
Trading Volume ◽  
Sampling Method ◽  
Stock Exchange ◽  
Institutional Ownership ◽  
Accurate Information ◽  
Stock Trading

The problem in this research is the need for fast and accurate information in the format of the presentation of financial statements resulting in the distribution of information, and data management can be problematic. Therefore, a format for financial reporting systems, namely Extensible Business Reporting Language (XBRL), was formed. The purpose of this study was to determine the effect of XBRL technology, stock prices, Return on Assets (ROA), and institutional ownership on market efficiency (information asymmetry and stock trading volume). The population and sample of this study are banking companies listed on the Indonesia Stock Exchange from 2015-2016. The sampling method using a purposive sampling method and obtained a sample of 42 companies. Data collection techniques are carried out by taking data from the Indonesia Stock Exchange website (www.idx.co.id) and the site http://finance.yahoo.com. Data were analyzed with multiple regression tests after being declared normal with the normality test and though using SPSS 20. The results of this study simultaneously stated that XBRL technology, stock prices, ROA, and institutional ownership together have an influence on information asymmetry and stock trading volume. From the results of the study, it can be concluded that XBRL technology, stock prices, ROA, and institutional ownership cause a decrease in the level of information asymmetry and trading volume. This result also states that the company is in excellent condition when the value of information asymmetry decreases, but it is not good when the trading volume of its shares also decreases. Keywords: XBRL Technology; Stock Prices; Market Efficiency; Information Asymmetry; Stock Trading Volume. 

scholarly journals MARKET REACTION ON THE ANNOUNCEMENT OF SRI KEHATI INDEX IN INDONESIAN STOCK EXCHANGE

2019 ◽  
Author(s):  
Anggita Langgeng Wijaya ◽  
Mia Noviyanti ◽  
Probo Mahayu
Keyword(s):  
Trading Volume ◽  
Market Reaction ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Rank Test ◽  
Stock Trading ◽  
Population Sampling ◽  
Signed Rank ◽  
Before And After ◽  
Signed Rank Test

The purpose of this study was to test the market reaction to the announcement of the Sri Kehati Index on the Indonesia Stock Exchange. The population in this study is all companies included in the Sri Kehati Index from 2013 to 2016. The selection of samples was taken by the population sampling method. Hypothesis testing is done by paired t test and Wilcoxon Signed Rank Test. The findings of this research are: 1) there is no difference in abnormal returns before and after the announcement of the Sri Kehati Index on the Indonesia Stock Exchange. 2) There is a difference in the activity of stock trading volume before and after the announcement of the Sri Kehati index in the 5th and 6th periods, but there is no difference in the activity of stock trading volume in other periods. The Indonesia Stock Exchange did not react consistently to the announcement of the Sri Kehati Index.

The Quality Attribution in Data, Information and Knowledge

2010 ◽  
pp. 1343-1354 ◽  
Author(s):  
Raul M. Abril
Keyword(s):  
Social Cognitive ◽  
Cognitive Theory ◽  
Quality Of Data ◽  
Unit Of Analysis ◽  
Common Definition ◽  
Units Of Analysis ◽  
Conceptual Clarity ◽  
Order Construct ◽  
Data Definition

The literature on quality of data, information and knowledge has a tendency to focus on the measurement aspects of such constructs. This implies some emphasis on scale construction. Unfortunately, conceptual clarity is in too many cases not apparent. This chapter advocates for the application of Social Cognitive Theory as a robust theoretical framework in order to understand the quality attributions of data, information and knowledge constructs. The definitions of data, information and knowledge are presented in a hierarchical structure having the data definition as a first order construct, the information definition as a second order construct built upon the data construct, and the knowledge construct as a third order construct built upon the information construct. Furthermore, the definitions of these constructs require considering the unit of analysis individual versus organization. Data has a common definition for both units of analysis. However information and knowledge have different definitions depending on the unit of analysis. Finally, this chapter addresses the quality attribution in the five considered constructs. In line with the current dominant paradigm, quality it is not an absolute assessment as it depends on the considered context and situation.

Units of Analysis and Rae's Fractionalization Index

1982 ◽  
Vol 15 (1) ◽  
pp. 85-98 ◽  
Author(s):  
DONALD A. GROSS
Keyword(s):  
Congressional Elections ◽  
Mathematical Relationship ◽  
Unit Of Analysis ◽  
Units Of Analysis ◽  
The Mean ◽  
The Relationship

This article examines the relationship between Rae's fractionalization index and the units of analysis on which it is based. It is shown that as one increases the size of the unit of analysis, the value of the index will increase. An exact mathematical relationship between the mean level of fractionalization for a given set of units and a fractionalization index based upon the aggregate voting totals for the units is established. This relationship shows that the aggregate fractionalization index overestimates the level of interparty competition in a system as measured by the mean level of fractionalization. U.S. congressional elections from 1824 to 1978 are used to indicate the importance of the overestimation by the aggregate fractionalization index.

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