The Relationship between Stock Price Index and Industrial Production Index in Construction Industry

2021 ◽  
Vol 22 (1) ◽  
pp. 70-82
Author(s):  
Han-Soo Yoo
Keyword(s):  
Construction Industry ◽  
Industrial Production ◽  
Stock Price ◽  
Price Index ◽  
Production Index ◽  
Industrial Production Index ◽  
Stock Price Index ◽  
The Relationship

scholarly journals The relationship between macroeconomic factors and stock market volatility: empirical evidence from the Vietnam stock market

2013 ◽  
Vol 16 (3) ◽  
pp. 86-100
Author(s):  
Kieu Minh Nguyen ◽  
Diep Van Nguyen
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Money Supply ◽  
Stock Price ◽  
Price Index ◽  
Macroeconomic Factors ◽  
Stock Price Index ◽  
The Exchange Rate ◽  
The Relationship

The main target of this study is to measure the relationship of macroeconomic factors to the volatility of the stock market in Vietnam (through stock price VN-index). There are four factors including the consumer price index (measure of inflation), the exchange rate of USD/VND and money supply M2. Research shows that the stock price VN-Index has a positive relationship with the money supply M2 and the domestic gold price in long term. On the contrary, it has a negative relationship with the inflation while it does not have any connection to the exchange rate and stock price index. In short term, the current stock price index has proportional to the stock price index last month and inversely proportional to the exchange rate. The estimated speed of adjustment indicates that the Vietnam stock market converges to the equilibrium about 8 months (adjusted approximately 13.04% per month) to reach equilibrium in the long term.

scholarly journals Analisis Pengaruh Variabel-Variabel Makro Ekonomi Terhadap Jakarta Islamic Indeks (JII) Periode 2007-2015

2017 ◽  
Vol 4 (6) ◽  
pp. 449
Author(s):  
Nining Khoirun Nisa ◽  
Raditya Sukmana
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Foreign Exchange ◽  
Stock Price ◽  
Price Index ◽  
Sampling Technique ◽  
Foreign Exchange Rates ◽  
Production Index ◽  
Macroeconomic Indicators ◽  
Stock Price Index

Based on this, researchers are interested to know and analyze the effect of macroeconomic indicators consisting of Inflation, Interest Rate, Foreign Exchange and Production Index on Stock Price Index of the Jakarta Islamic Index (JII). This study uses a quantitative approach. The sampling technique used is the technique of sampling nonprobabilitas. The type of data in this study of time series data.The results of this study indicate that inflation and interest rates significantly affect the stock price index Jakarta Islamic Index (JII). Foreign exchange rates and the production index did not significantly affect the stock price index Jakarta Islamic Index (JII).

scholarly journals HUBUNGAN ANTARA PANDEMI COVID-19 DAN HARGA SAHAM PERUSAHAAN SUB SEKTOR HOTEL, RESTORAN DAN PARIWISATA YANG TERDAFTAR DI BEI

2020 ◽  
Vol 12 (2) ◽  
pp. 55-70
Author(s):  
Reinandus Aditya Gunawan
Keyword(s):  
Stock Price ◽  
Price Index ◽  
Negative Relationship ◽  
Statistical Test ◽  
Positive Correlation ◽  
Stock Price Index ◽  
The Relationship ◽  
Death Cases

The Covid-19 pandemic is one of the events which really affected Indonesian economy whereas there are still additional new cases in Indonesia every day. The most affected components are Composite Stock Price Index (IHSG) and the Indonesian economy. The most affected business industrial sub-sectors are the hotel, restaurant and tourism which due to Covid-19 there were so many cancelled flights from abroad to Indonesia. This condition made impact to the significantly decrease of company revenues and even some companies decided to close their business. The aim of this study is to find the relationship between Covid-19 as measured by daily new cases, daily recovered cases and daily death cases with the average stock price of the hotel, restaurant and tourism sub-sector. The statistical test used is to perform Pearson analysis. The results of this study are all variables both daily new cases, daily recovered cases and daily death cases have a negative relationship with the average stock price of the hotel, restaurant and tourism sub-sector. Besides that, the new daily cases have a positive correlation with new daily recovery cases, and positive significant with daily death cases. Moreover, daily recovery cases have positive correlation with daily death cases.

Revisiting Quantile Granger Causality Between the Stock Price Indices and Exchange Rates for G7 Countries

2017 ◽  
Vol 8 (1) ◽  
pp. 9-21
Author(s):  
Tienwei Lou ◽  
Wuchang Luo
Keyword(s):  
Exchange Rate ◽  
Granger Causality ◽  
Stock Price ◽  
Price Index ◽  
Asymmetric Effect ◽  
G7 Countries ◽  
Causality Test ◽  
High Quantile ◽  
Stock Price Index ◽  
The Relationship

The daily data of the stock price index and the foreign exchange rate in G7 were utilized for the period between January 4, 1999 and June 30 2015. From the empirical study of Granger causality test in quantiles, there are three main findings. Firstly, there is no long-run significant relationship between the stock price index and exchange rate in G7. Secondly, different types of short-run relationships exist between the two variables among G7 countries. In Canada, Italy, and U.S.A., the relationship is bidirectional, and the asymmetric effect is at different quantiles. In France and Japan, the relationship is unidirectional, from the stock price index to the exchange rate, and the relationship is at different quantiles for the two countries. In Germany and U.K., the relationship is unidirectional in the opposite direction and is also at different quantiles. Lastly, it shows that international trading effects at different quantiles exist in Canada (at high quantile), Italy (at median quantile), and U.K. (at low quantile). On the other hand, portfolio balance effects at different quantiles exist in Germany (at low and median quantiles) and U.S.A. (at high quantile). The study shows neither effect in France and Japan. The empirical findings in this paper have important implications for academicians, international institutional investors, and policy-makers on the G7 markets.

scholarly journals Macroeconomic factors and LQ45 stock price index: evidence from Indonesia

2019 ◽  
Vol 16 (3) ◽  
pp. 251-259 ◽  
Author(s):  
Sugeng Hadi Utomo ◽  
Dwi Wulandari ◽  
Bagus Shandy Narmaditya ◽  
Puji Handayati ◽  
Suryati Ishak
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Market Performance ◽  
Macroeconomic Variables ◽  
Stock Market Performance ◽  
Stock Price Index ◽  
The Relationship

This paper provides the relationship between macroeconomic variables, including exchange rate, BI rate and inflation, and stocks performance, particulary bluechip stocks listed in LQ45 index in Indonesia Stock Exchange. The study particularly gives insights on bluechip stocks listed in LQ45 stock price index in Indonesia Stock Exchange between 2015 and 2017. The data were obtained from various sources during the period, including the Indonesia Stock Exchange (IDX), the Central Bank of Indonesia (BI), and the Ministry of Trade. This study followed a Vector Error Correction Model (VECM) attempting to estimate the relationship between variables both in the short term and in the long term. The findings of the study showed that in the long run, exchange rate, BI rate and inflation have a negative impact on stock market performance, particularly on LQ45 index in Indonesia Stock Exchange. It implies that an increase in macroeconomic variables results in the decline of stock market performance. Meanwhile, in the short run, two variables, namely the exchange rate and inflation, positively affect stock market performance in Indonesia. On the contrary, the relationship between BI rate and stock market performance showed a negative correlation. These findings have significant implication for the understanding of how macroeconomic variables affect the stock market performance, particularly LQ45 price index in Indonesia Stock Exchange.

Sign in / Sign up

Export Citation Format

Share Document