scholarly journals ANALISIS PEMBANGUNAN SEKTOR KEUANGAN PADA SEKTOR JASA DI INDONESIA

Media Ekonomi ◽  
2019 ◽  
Vol 26 (1) ◽  
pp. 25
Author(s):  
Dini Hariyanti

<em>Analyze how Financial Sector Development can affect the Service Sector in Indonesia using the Seemingly Unrelated Regression approach during the 2008-2015 period. <em>This study uses quarterly data in the period 2008.1 - 2015.4. The year 2008 was taken as the beginning of observing the equation model because the period after the global crisis affected the global financial sector. The analysis tool used in this study uses a regression model with the SUR (Seemengly Unrelated Regression) approach. <em>Using the existing model approach, it was concluded that the determinants of the gross national savings model in the service sector in Indonesia were influenced by the stock market index, gross domestic product, and real sector bank loans. The determinants of the banking credit model in the service sector in Indonesia are influenced by variables of the financial sector development index, stock market index, gross domestic product, service sector output, and gross national savings. While in the investment model equation, there are no variables that affect investment in the service sector. This is because there is a time lag in determining investment. Finally, the determinants of the output model in the service sector in Indonesia as well as the banking sector credit equation are influenced by the variables of the banking sector development index, stock market index, gross domestic product, service sector output, and gross national savings.</em></em></em>

2018 ◽  
Vol 5 (2) ◽  
pp. 1-19
Author(s):  
Amna Mawardi

In the midst of uncertain economic condition, nowadays people tend to secure the potential assests they have, and think how to take advantage of the assets they have in order to keep it high in value for a long period of time. One of the way is by invest in the form of securities traded in the capital market. That is why every investor in the capital market urgently require a relevant informations on trend of transactions as reference in making investment decisions. One of the required information is stock market index. The purpose of this study is to examine the effect 0f macro economic indicators, US Dollar exchange rate, interest rate, inflation rate, and money supply on stock market index in Indonesia Stock Exchange (IDX). The method used in this research is using multiple linear regression. Data obtained from SEKI -  Bank Indonesia (Economic and Financial Statistics - Central Bank of The Republic of Indonesia) and  IDX (Indonesia Stock Exchange), in the form of secondary data of monthly period in year 2011 – 2015, collected by documentation techniniques. The results showed that partially variable of US Dollar exchange rates, interest rates, inflation rates, and money supply have no effect on the stock price index of financial sector. Whereas universally interest rates have a significant positive effect on the stock price index of financial sector. Over all simultaneously US Dollar exchange rates, interest rates, inflation rates, and money supply have an effect on the stock price index of financial sector.   Keywords: exchange rate, interest rate, inflation rate, money supply, and stock market index.


Author(s):  
Lo Yi-Wei

The global economy is experiencing a crisis due to the Covid-19 pandemic, the stock market index has collapsed. The rupiah exchange rate against the USA dollar weakened this was due to the large number of foreign investors leaving the Indonesian financial market, the stock market plummeted. The banking sector can carry out an economic stimulus given restructuring authority for all credit or financing without requiring restrictions on the credit ceiling or type of debtor, especially debtors for MSMEs and informal workers. The economic stimulus that needs to be maximized is prundential monetary and macro policies through lowering interest rates and maintaining stability in the rupiah exchange rate. Budget relocation is also enforced to maintain the availability of basic foodstuffs for the community, which has increased due to panic buying or market panic. Also providing assistance to increase people's purchasing power.


2020 ◽  
Vol 38 (3) ◽  
Author(s):  
Ainhoa Fernández-Pérez ◽  
María de las Nieves López-García ◽  
José Pedro Ramos Requena

In this paper we present a non-conventional statistical arbitrage technique based in varying the number of standard deviations used to carry the trading strategy. We will show how values of 1 and 1,2 in the standard deviation provide better results that the classic strategy of Gatev et al (2006). An empirical application is performance using data of the FST100 index during the period 2010 to June 2019.


2021 ◽  
pp. 104225872110104
Author(s):  
Naciye Sekerci ◽  
Jamil Jaballah ◽  
Marc van Essen ◽  
Nadine Kammerlander

We study family firm status as an important condition in signaling theory; specifically, we propose that the market reacts more positively to positive, and more negatively to negative, CSR news (i.e., signals) from family firms than to similar news from nonfamily firms. Moreover, we propose that during recessions, the direction of these relationships reverses. Based on an event study of 1247 positive and negative changes in the CSR ratings for all firms listed on the French SFB120 stock market index (2003-2013), we find support for our hypotheses. Moreover, a post hoc analysis reveals that the relationships are contingent on whether a family CEO leads the firm.


2016 ◽  
Vol 9 (2) ◽  
pp. 123-146 ◽  
Author(s):  
Kim Hiang Liow

Purpose This research aims to investigate whether and to what extent the co-movements of cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles are linked across G7 from February 1990 to June 2014. Design/methodology/approach The empirical approaches include correlation analysis on Hodrick–Prescott (HP) cycles, HP cycle return spillovers effects using Diebold and Yilmaz’s (2012) spillover index methodology, as well as Croux et al.’s (2001) dynamic correlation and cohesion methodology. Findings There are fairly strong cycle-return spillover effects between the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles. The interactions among the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles in G7 are less positively pronounced or exhibit counter-cyclical behavior at the traditional business cycle (medium-term) frequency band when “pure” stock market cycles are considered. Research limitations/implications The research is subject to the usual limitations concerning empirical research. Practical implications This study finds that real estate is an important factor in influencing the degree and behavior of the relationship between cross-country business cycles and cross-country stock market cycles in G7. It provides important empirical insights for portfolio investors to understand and forecast the differential benefits and pitfalls of portfolio diversification in the long-, medium- and short-cycle horizons, as well as for research studying the linkages between the real economy and financial sectors. Originality/value In adding to the existing body of knowledge concerning economic globalization and financial market interdependence, this study evaluates the linkages between business cycles, stock market cycles and public real estate market cycles cross G7 and adds to the academic real estate literature. Because public real estate market is a subset of stock market, our approach is to use an original stock market index, as well as a “pure” stock market index (with the influence of real estate market removed) to offer additional empirical insights from two key complementary perspectives.


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