scholarly journals Hubungan Karakteristik Bank dengan Harga Saham

2020 ◽  
Vol 1 (1) ◽  
pp. 10-22
Author(s):  
Muchlis H. Mas'ud ◽  
Dwi Anggarani ◽  
Zulkifli
Keyword(s):  
Time Series ◽  
Credit Risk ◽  
Cross Section ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Bank Capital ◽  
Cross Section Data ◽  
Section Data ◽  
Bank Stock

This study discusses the influence of variable bank characteristics on bank stock prices included on the Indonesia Stock Exchange (2009-2013). Regarding what is used is a data collection that is a merger between cross section data and time series from 25 banks. The results showed that bad credit as a proxy for credit risk increased significantly to stock prices. Credit risk increases. It is proven that efficiency shows a negative and significant relationship to stock prices. Limitations / Implications in this study are the adequacy of bank capital, profitability and income diversification ratio non-interest income (NIIR) does not affect the bank's stock price.

scholarly journals ANALISIS PENGARUH RISIKO KREDIT TERHADAP IMBAL HASIL SAHAM PERBANKAN DI BURSA EFEK JAKARTA PERIODE TAHUN 2001-2005

2011 ◽  
Vol 4 (1) ◽  
pp. 78-94
Author(s):  
Siane Handayani Rahardjo ◽  
Ingrid Maya Sophy2 ◽  
Tedy Fardiansyah
Keyword(s):  
Credit Risk ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Sampling Method ◽  
Stock Exchange ◽  
Capital Adequacy ◽  
Capital Adequacy Ratio ◽  
Bank Stock Returns ◽  
Bank Stock

Banks have an important role in the economy and serves as a financial intermediary. Credit risk, as one of indicator of the health of the bank, is an interest of all stakeholders including investors stock. This study was conducted to determine the effect of credit risk on bank stock returns listed on the Jakarta Stock Exchange. The sampling method performed on 8 banks for a sample of meeting the requirements of the study. Credit risk data consisting of CAR (Capital Adequacy Ratio), NPL (Non Performing Loans) and PPAP (Removal of Assets Allowance) financial ratios derived from the quarterly during January 2001-December 2005. The stock prices are taken from the weekly closing stock price data weekly during January 2001-December 2005. Tests using multiple regressions were conducted to determine the effect of credit risk on stock returns. The results show that jointly or individually no significant effect on credit risk with stock returns.

Pooling of Time Series and Cross Section Data

Econometrica ◽  
1969 ◽  
Vol 37 (3) ◽  
pp. 552
Author(s):  
V. K. Chetty
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Cross Section Data ◽  
Section Data

Time is Not A Theoretical Variable

2010 ◽  
Vol 18 (3) ◽  
pp. 293-294 ◽  
Author(s):  
Nathaniel Beck
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Duration Dependence ◽  
Cross Section Data ◽  
Section Data ◽  
Data Analyst ◽  
Binary Time Series ◽  
Simple Cubic ◽  
Cubic Polynomial

Carter and Signorino (2010) (hereinafter “CS”) add another arrow, a simple cubic polynomial in time, to the quiver of the binary time series—cross-section data analyst; it is always good to have more arrows in one's quiver. Since comments are meant to be brief, I will discuss here only two important issues where I disagree: are cubic duration polynomials the best way to model duration dependence and whether we can substantively interpret duration dependence.

scholarly journals FUNDAMENTALS OF INTEGRATED COMMERCIAL BANK IN MACROECONOMIC AND SHARIA PERSPECTIVE IN INDONESIA

2018 ◽  
Vol 3 (2) ◽  
pp. 349-387
Author(s):  
Kumara Jati ◽  
Aziza Rahmaniar Salam
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Commercial Bank ◽  
Stock Prices ◽  
Stock Price ◽  
Vector Autoregression ◽  
Share Price ◽  
Fasting Period ◽  
Goods And Services ◽  
Bank Stock

This research analyses the fundamentals of integrated commercial bank in macroeconomic and sharia perspective in Indonesia. Based on the calculation of Vector Autoregression (VAR), the impact of macroeconomic variables (Jakarta Stock Islamic Index / JKSII, Indonesian Stock Price Composite Index / JKSE, Crude Oil Price, and Exchange Rate)  on stock prices of commercial banks vary. These shocks indicate an indirect price transmission through exchange rate channels and economic growth. From the Structrural Time Series Model (STSM), JKSII, JKSE, and commercial bank share price prediction will generally increase at the end of 2017 and 2018. This will generate hope and benefit for policy maker and business actors in the banking, finance and sharia sectors. In general, the ARMA-ARCH/GARCH model with dummy variables found negative impact of “Fasting Period and Eid Al-Fitr” on return of JKSII, JKSE, and commercial bank stock price. This indicates a cycle of stock price decline that occurs when consumers spend more money to purchase goods and services. However, this cycle of stock price declines is only temporary because the recovery of the world economy and the increase in demand for goods and services in the future can be a pull factor for stock prices (demand factor). Policy makers and stakeholders related to the financial system, banking and capital markets, especially the sharia sector need to see the movement of conventional bank stocks and “Fasting Period and Eid Al-Fitr” as they move in the opposite direction for a certain period.   Keywords: Stock Price of Commercial Bank, Macroeconomic and Sharia Perspective, Vector Autoregression (VAR), Structural Time-Series Models (STSM), ARMA-ARCH/GARCH   JEL Classification Codes: F31, F47, G15, G21

scholarly journals PENGARUH RETURN ON EQUITY, DEBT TO EQUITY RATIO DAN SIZE TERHADAP HARGA SAHAM PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)

BISMA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 27
Author(s):  
Marzuki Marzuki
Keyword(s):  
Firm Size ◽  
Significant Influence ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Stock Exchange ◽  
Series Data ◽  
Manufacturing Companies ◽  
Return On Equity ◽  
Section Data

The objective of this study is to examine the effect of ROE, DER, and firm size on stock prices of the manufacturing companies listed on the Indonesia Stock Exchange (IDX). The data used in this study were panel data sourced from the combination of cross section data and time series data. This research used purposive sampling method with the sample consisted of 86 manufacturing companies listed on IDX in 2017. Data were analyzed using multiple linear regression. The results showed that ROE and firm size had a positive and significant influence on stock price. However, DER did not have a significant influence on stock price. Keywords : ROE, DER, company size, stock price

scholarly journals Determinan Pengangguran Terdidik Lulusan Universitas di Pulau Jawa

2021 ◽  
Vol 10 (3) ◽  
pp. 178-187
Author(s):  
Leni Anjarwati ◽  
Whinarko Juliprijanto
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Cross Section ◽  
Quantitative Methods ◽  
Negative Impact ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Series Data ◽  
Cross Section Data ◽  
Section Data

This study aims to determine the factors that influence educated unemployment in Java. The data used in this study is secondary data using quantitative methods. Data analysis uses panel data analysis which is a combination of time series and cross-section data. The time-series data uses data for the 2015-2019 period and cross-section data from 6 provinces on the island of Java. The results showed that simultaneously all variables had a significant effect on the level of educated unemployment. While partially shows that the variable level of education and PMDN have a significant positive impact on educated unemployment, and the UMR variable has a significant negative impact on educated unemployment.

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