scholarly journals IHSG dan Dinamikanya: Sebuah Analisis atas Pengaruh Variable Makroekonomi

2019 ◽  
Vol 1 (1) ◽  
pp. 21-40
Author(s):  
Michael Alexander Santoso ◽  
Apriani Dorkas Rambu Atahau ◽  
Robiyanto Robiyanto
Keyword(s):  
Crude Oil ◽  
Time Series Data ◽  
Stock Exchange ◽  
Composite Index ◽  
Oil Price ◽  
Series Data ◽  
Crude Oil Price ◽  
Macroeconomic Variables ◽  
Analysis Technique ◽  
Dow Jones Industrial Average

Purpose- This research aimed to study the effect of macroeconomic variables: Dow Jones Industrial Average, USD/IDR, and World Crude Oil Price towards Jakarta Composite Index (JCI) during the period of 2005-2016. Methods- This research using the daily closing prices of Dow Jones Industrial Average (JCI), USD/IDR, World Crude Oil Price, and Jakarta Composite Index, the GARCH (1,1) The data analysis technique used in this study is Generalized Autoregressive Conditional Heteroscedasticity (GARCH). The reason for choosing the GARCH analysis technique is that this study uses time series data which is often abnormal and cannot be normalized. Finding- Analysis show that Dow Jones Industrial Average and world crude oil price has a positive significant effect on the JCI while USD/IDR has a negative significant effect on JCI. Implication- The findings imply the importance to consider macroeconomic variables when investing at Jakarta Stock Exchange

scholarly journals The Effect of USD/IDR Exchange Rate, Interest Rate, and World Oil Price To Jakarta Composite Index (JCI)

2019 ◽  
Vol 3 (2) ◽  
pp. 191
Author(s):  
Ummu Salma Al-Azizah ◽  
Yusdi Daulay ◽  
Naufal Krisnanto
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Interest Rate ◽  
Time Series Data ◽  
Stock Exchange ◽  
Composite Index ◽  
Oil Price ◽  
Series Data ◽  
Macroeconomic Variables ◽  
The Exchange Rate

This research aims to investigate effect of selected macroeconomic variables, i.e., USD/IDR exchange rate, interest rate, and world oil price to indonesia composite index at the indonesia stock exchange (IDX). This paper examine the direct effect of selected macroecomonic variable on Indonesia Composite Index. The study used time series data from the 2012-2017. By using an regression technique analysis, the result from showed that simultaneously the exchange rate, interest rate, and world oil price have a significant effect on Indonesia Composite Index. Partially, only the exchange rate has a significant effect on Indonesia Composite Index, interest rate and world oil price have no significant effect on Indonesia Composite Iindex. The amount of influece caused by the three variables is 58% and the rest is explained by other variables.

scholarly journals ANALISIS PENGARUH HARGA MINYAK DUNIA DAN HARGA EMAS DUNIA TERHADAP INDEKS HARGA SAHAM GABUNGAN DI BURSA EFEK INDONESIA

2019 ◽  
Vol 10 (1) ◽  
pp. 19
Author(s):  
Maria Ariesta Utha
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Significant Influence ◽  
Time Series Data ◽  
Composite Index ◽  
Gold Price ◽  
Oil Price ◽  
Series Data ◽  
Crude Oil Price ◽  
Test Result

<p class="Style1"><em>This research analysed the ittfluence of crude oil price, gold price, and exchange </em><em>rate toward composite index in Indonesian Stock Exchange. Dependent variable of this </em><em>reseach is composite index and independent variable of this research are crude oil </em><em>price, gold prke, and exchange rate. This Research by using time series data on period </em><em>2010-2014. The </em><em>Method of this research is multiple linier regression. To get unbiased </em><em>model, </em><em>in this research used classical assumption test. Result of this research indicate </em><em>that crude oil price and gold price have not significant influence toward composite </em><em>index and exchange rate have significant influence toward composite index. Based on determination test result crude oil price, </em><em>gold </em><em>price, and exchange rate have simultant </em><em>influence toward composite index.</em></p>

Oil and Methanol Price volatility

2013 ◽  
Vol 03 (08) ◽  
pp. 01-10
Author(s):  
Majid Delavari ◽  
Nadiya Gandali Ali khani ◽  
Esmaeil Naderi
Keyword(s):  
Crude Oil ◽  
Time Series Data ◽  
Price Volatility ◽  
High Sensitivity ◽  
Oil Price ◽  
Series Data ◽  
Cultural Issues ◽  
Crude Oil Price ◽  
Oil Export ◽  
The One

Crude oil as one of the main sources of energy is also the main source of income for members of OPEC. So, the volatility of crude oil price is one of the main economic variables in the world and analysis of the effect of its changes on key economic factors has been always considered as significant. The reason might be the high sensitivity of oil price to political, economic and cultural issues worldwide and consequently its volatility on the one hand, and the high influence of the volatile prices on macroeconomic variables. On the other hand, for different reasons such as oil price volatilities and income from oil export, economic planners and policy makers in Iran have been mainly focused on the promotion of non-oil exports especially during the last few decades. Therefore, methanol as one of the most commonly used petrochemical products has a high potential for production and export of non-oil products in Iran. For this reason, in the present study there was an attempt to examine the relationship between the prices of Iran’s crude oil and methanol using FIGARCH model and based on the weekly time series data related to the research variables. The results of the study showed that the long memory parameter is equal to 0.32 which is meaning the shocks caused by volatility of methanol market and crude oil price to the methanol price were lasting and meaningful and were revealed in the long term.

scholarly journals Pengaruh Variabel Makroekonomi Terhadap Indeks Harga Saham Gabungan (Studi pada Indeks Harga Saham Gabungan di Bursa Efek Indonesia Periode 2014-2018)

2019 ◽  
Vol 8 (2) ◽  
pp. 75
Author(s):  
Rina R. Mamahit ◽  
Tinneke M. Tumbel ◽  
Joanne V. Mangindaan
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Negative Effect ◽  
The Exchange Rate

This research aims to determine whether the macroeconomic variables i.e., the exchange rate, inflation and BI rate simultaneously and partially influence Indonesia Composite Index at The Indonesia Stock Exchange (IDX). The approach in this study is a quantitative method, using multiple linear regression analysis. The data used are time series data from January 2014 until December 2018. The result indicates that exchange rates, inflation and BI together have a significant impact to Indonesia Composite Index. Individually, only the BI rate variable has a significant effect and has a negative effect to Indonesia Composite Index. The exchange rate and inflation had no significant effect to Indonesia Composite Index.

scholarly journals The long-Run and Short-Run Analysis between Stock Market Index and Macroeconomic Variables in Jordan: Bounds Tests Approach

2019 ◽  
Vol 12 (4) ◽  
pp. 50
Author(s):  
Raed Walid Al-Smadi ◽  
Muthana Mohammad Omoush
Keyword(s):  
Stock Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Series Data ◽  
Stock Market Index ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run

This paper investigates the long-run and short-run relationship between stock market index and the macroeconomic variables in Jordan. Annual time series data for the 1978&ndash;2017 periods and the ARDL bounding test are used. The results identify long-run equilibrium relationship between stock market index and the macroeconomic variables in Jordan. Jordanian policy makers have to pay more attention to the current regulation in the Amman Stock Exchange(ASE) and manage it well, thus ultimately helping financial development.

scholarly journals Portfolio Learning Based on Deep Learning

2020 ◽  
Vol 12 (11) ◽  
pp. 202
Author(s):  
Wei Pan ◽  
Jide Li ◽  
Xiaoqiang Li
Keyword(s):  
Deep Learning ◽  
Stock Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Composite Index ◽  
Series Data ◽  
High Dimensional ◽  
Chinese Stock Market ◽  
High Return ◽  
Stock Information

Traditional portfolio theory divides stocks into different categories using indicators such as industry, market value, and liquidity, and then selects representative stocks according to them. In this paper, we propose a novel portfolio learning approach based on deep learning and apply it to China’s stock market. Specifically, this method is based on the similarity of deep features extracted from candlestick charts. First, we obtained whole stock information from Tushare, a professional financial data interface. These raw time series data are then plotted into candlestick charts to make an image dataset for studying the stock market. Next, the method extracts high-dimensional features from candlestick charts through an autoencoder. After that, K-means is used to cluster these high-dimensional features. Finally, we choose one stock from each category according to the Sharpe ratio and a low-risk, high-return portfolio is obtained. Extensive experiments are conducted on stocks in the Chinese stock market for evaluation. The results demonstrate that the proposed portfolio outperforms the market’s leading funds and the Shanghai Stock Exchange Composite Index (SSE Index) in a number of metrics.

Zimbabwe Stock Exchange (“ZSE”)’s Exposure to Global Crude Oil Price Volatility

2015 ◽  
Vol 6 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Washington Chiwanza ◽  
Walter Gachira ◽  
Dingilizwe Nkomo ◽  
Runesu Chikore
Keyword(s):  
Crude Oil ◽  
Stock Exchange ◽  
Price Volatility ◽  
Oil Price ◽  
Crude Oil Price ◽  
Oil Price Volatility

scholarly journals THE ISLAMIC CAPITAL MARKET VOLATILITY: A COMPARATIVE STUDY BETWEEN IN INDONESIA AND MALAYSIA

2013 ◽  
Vol 15 (4) ◽  
pp. 391-415
Author(s):  
Muhammad Syafii Antonio ◽  
Hafidhoh Hafidhoh ◽  
Hilman Fauzi
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Crude Oil ◽  
Capital Market ◽  
Oil Price ◽  
Crude Oil Price ◽  
Short Term ◽  
Macroeconomic Variables ◽  
Jones Index

This study attempts to examine the short-term and long-term relationship among selected global anddomestic macroeconomic variables fromeach country (Fed rate, crude oil price, Dow Jones Index, interest rate, exchange rate and inflation) for Indonesia and Malaysia Islamic capital market (Jakarta Islamic Index (JII) and FTSE Bursa Malaysia Hijrah Shariah Index (FHSI). The methodology used in this study is vector error correction model (VECM) for the monthly data starting from January 2006 to December 2010. The result shows that in the long-term, all selectedmacroeconomic variables except Dow Jones Index variable have significantly affect in both Islamic stock market FHSI and JII, while in the short-term there is no any selected macroeconomic variables that significantly affect FHSI and only inflation, exchange rate and crude oil price variables seem to significantly affect JII. Keywords : Islamic Stock Market, Jakarta Islamic Index, FTSE Hijrah Shariah Index, VAR/VECMJEL Classification: E52, E44

scholarly journals PENGUKURAN KINERJA REKSADANA SAHAM TERHADAP HARGA KOMODITAS MENGGUNAKAN BESARAN ALPHA JENSEN DAN CAPM

Media Ekonomi ◽  
2019 ◽  
Vol 26 (2) ◽  
pp. 103
Author(s):  
Robinsyah Anggalis Prasetiyo
Keyword(s):  
Crude Oil ◽  
Mutual Funds ◽  
Mutual Fund ◽  
Time Series Data ◽  
Stock Exchange ◽  
Secondary Data ◽  
Poor Performance ◽  
Series Data ◽  
Equity Funds ◽  
Research Period

<em><em>This study aims to analyze the stock mutual funds that have the best performance and provide an overview to investors about stock mutual funds can be bought by investors. </em></em><em><em>The research methodology used is a quantitative method with the type of time series data and data sources derived from secondary data obtained from the Indonesia Stock Exchange. The research period from 2012 to 2016. Data analysis techniques used are using the Jensen model which explains that the performance of Mutual Funds can be seen from the amount of alpha of each Mutual Fund with the provisions that if a Mutual Fund has a positive alpha means it has good performance, vice versa Funds with negative alpha indicate poor performance. </em></em><em>The results of this study indicate that the performance of Coal, Gold, Nickel and Crude Oil on Equity Funds that manage Capital, Kapital Plus, and Consumption Plus mutual funds products based on the Jensen method each produces insignificant alpha and Jensen alpha values. This means that the performance of mutual funds Kapital, Kapital Plus, and Consumption Plus are not affected by the ups and downs of prices of Coal, Gold, Nickel and Crude Oil.</em>

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