scholarly journals Determinants of Equity Share Price Movement: Evidence From the Nigerian Banking Industry (2000 – 2014)

2021 ◽  
Vol 12 (1) ◽  
pp. 319
Author(s):  
Akan David Chucks ◽  
Ighosewe Enaibre Felix ◽  
Sunny Oteteya Temile

Profit maximization is the primary focus of investors. The banking industry is a veritable sector for investment, however, understanding the determinants of profitability is paramount as it assists investors to know where their money should go. This study, therefore, investigates the influence that Earnings per share (EPS) and Non-Financial factors namely: inflation, exchange rate, and interest rate have on share price movement. The Ex-post factor was adopted as the research design. The data on EPS was collected from the Central Bank of Nigeria (CBN), Factbook, and the financial reports of the selected banks. The data on the Interest rate, Inflation, and Exchange Rate were collected from the Bulletin of CBN. The time-series data were diagnosed using the Unit root test; they were detrended where necessary to avoid a spurious result. The data were then analyzed using multiple regression. Also, Variance inflation factors (VIF) were engaged to test for the multicollinearity of the selected variables; while a heteroskedasticity test was carried out for a result free of heteroskedasticity. The outcome from the analysis displayed a positive but insignificant relationship between EPS and the market price of shares (MPS;); The study also revealed a negative and significant relationship between Inflation share price; while Interest Rate is insignificantly and negatively influencing the share price. Finally, Exchange Rate showed a significant influence on the share price. The researcher, therefore, recommends among others the need for Nigerian listed Banks to endeavor to improve on their EPS as this will increase their share price even though it won't be significant. Inflation displayed a negative and significant effect on the share prices of the quoted Banks in Nigeria; policies that will reverse the geometric rise in the inflation presently experienced in Nigeria should be enacted by the Government. 

2017 ◽  
Vol 21 (2) ◽  
pp. 73-84
Author(s):  
Jechlien Melinda Reawaruw

This study aimed to identify the influenceof Interest Rate, Money Supply, and Exchange Rate to inflationin Indonesia after Financial Crisis 2008 with quantitative approach and analyzed using OLS (Ordinary Least Square). Data Methods in this research used time series data in the period 2008:1 until 2015:2. The result of this research indicate that Interest Rate, Money Supply, and Exchange Rate simultaneously effect the inflationin Indonesia after Financial Crisis 2008. Interest Rate has a positive effect 2.755885%, Money Supply has a positive effect 1.28E-06%, and Exchange Rate have a negative effect 0.000841%. Bank Indonesia as an institution that is responsible for determining the inflatin target has a very important role and coordinate with the government in implementing fiscal policy and monetary policy appopriately.


Author(s):  
Jusmer Sihotang ◽  
Nancy Nopeline

This study aims to analyze the effect of the interest rest, the exchange rate of the rupiah, and imports on the inflation in Indonesia. The study used multiple regression equation by using secondary time series. Data from 2008.Q1-2018.Q4. The results showed that the interest rate of SBI, exchange rate of rupiah against US Dollar, private sector household consumption, and the total imports of Indonesia had a simultaneous impact on the inflation in Indonesia. However, partially only the interest rate of SBI and total imports of Indonesia had a significant impact on the inflation in Indonesia, respectivelyon the level ofα = 1% and α= 5%. These results mean that the increasing of interest rate of SBI and Indonesian import could impact the inflation rate in Indonesia. Based on the findings, the policy to control the inflation in Indonesia was Bank Indonesia as the holder of monetary policy needs to oversee the determination of business credit interest rate (micro, retail, and corporate), by commercial banks in order to maintain the rate on the stable and low levels. In addition, the government needs to compose the policy to reduce the dependence on imported goods by providing various facilities and incentives to increase the interest of entrepreneurs to invest in industries that produce imported substitute goods.


Author(s):  
Adhisty Mohammad Khariza ◽  
Arintoko Arintoko ◽  
Suprapto Suprapto

Small-medium enterprises (SMEs) are the main pillar of the Indonesian economy. Based on 2016’s Economic Census, most businesses in Indonesia are SMEs, while SMEs absorb the majority of the workforce. The empowerment of SMEs is one way to improve the economy. To empower the SMEs sector, the Indonesian government launched the Kredit Usaha Rakyat (KUR) since 2007. The lasts policy is the provision of the mild interest rate for KUR since 2016. The hope is that with a mild interest rate, SMEs can get affordable financing access so they can be the driving force of the economy. However, credit demand is not only influenced by interest rate but other macroeconomic factors such as Gross Domestic Product and inflation. Also, this study will look at how development disparities between the West Indonesia Region and East Indonesia Region affect credit demand. This research is intended to see the effect of macroeconomic factors on Small-medium enterprises loans. Source of data is taken from Indonesia Badan Pusat Statistik. Panel data use 2011-2018 time-series data and 33 provinces cross-section data are used to investigate the relationship of SMEs’ Loans with these macroeconomic factors. The result show that Interest Rate, GRDP, and Inflation, effect on SMEs Loans in a respectively different manner. However, the development disparities between West Indonesia Region and East Indonesia Region has no significant effect on SMEs’ loans. The study concludes that macroeconomic activities are important indicators not only the interest rate. So, the government should not only focus on interest rate policy but also other macroeconomic factors. Keyword: Macroeconomic Factors, SMEs’ Loan, Kredit Usaha Rakyat (KUR), Panel Data


2020 ◽  
pp. 37-53
Author(s):  
Khalish Khairina

This study aims to analyze the effect of Inflation, Exchange Rate, BI Interest Rate, Indonesia Composite Index on Sharia Insurance Life in Indonesia.  Data used is time series data for 10 years (2010-2019) and analyzed by using Eviews 10. This research using quantitative descriptive method, and to analyze the effect of independent variables toward dependent variables using Ordinary Least Square technique. The result of t – test shows Inflation, Exchange Rate, Indonesia Composite Index have significant influence to Sharia Life Insurance Investment in Indonesia that t –test < 0,05 and Interest Rate doesn’t influence to Sharia Life Insurance Investment in Indonesia with t – test > 0,05. However, independent variables has a significant influence with the result of F test 0,000002 < 0,05 and Adjusted R-Squared test shows that 99,41 %  of Sharia Life Insurance Investment in Indonesia is influenced by independent variables in this research


2021 ◽  
Vol 2 (3) ◽  
pp. 17-23
Author(s):  
Muhammad Faisal Hassan ◽  
Hashim Bin Jusoh ◽  
Sajjad Khan ◽  
Fahad Ali Khan ◽  
Muhammad Naseem ◽  
...  

The researcher investigates the Impact of inflation, exchange rate and interest rate on Pakistan stock Exchange performance KSE-100 index by using monthly time series data which covers the period of 2013 to 2020. The econometrics techniques which are employed includes ADF test, Ordinary Least squares regression Model, testing for Multi-collinearity, Residual analysis serial correlation, testing for co-integration, Error correction model (ECM), variance decomposition (VAR) and Pair wise granger causality test. The results indicate that there is positive impact of exchange rate on PSX 100 index and the impact of inflation and interest rate is fond negative but inflation have insignificant relationship with PSX 100 index and the other two relationships are found significant. From the ECM result it is found that in short run 20% of the variation in dependent variable is due to inflation, exchange rate and interest rate and 80% variation is unexplained in short run. Form the results of VAR test it is concluded that exchange rate 1.67, inflation 14.25%, and interest rate 3.90% variation cause in PSX 100 index performance due to these three independent variables.


2021 ◽  
Vol 6 (1) ◽  
pp. 50-59
Author(s):  
Irine Melyani ◽  
Martha Ayerza Esra

The movement of stock price index is the important indicator for investors to determine whether the investor would sell, buy, or hold shares. The movement of CSPI is affected by several factor like macroeconomy. The purpose of this study was to determine the effect of inflation, interest rate, and exchange rate against CSPI. Theoretically, the effect of inflation, interest rate, and exchange rate is based on efficient market hyphothesis and signalling theory which inflation, interest rate and exchange rate provide signal to investor which affect their decision that cause change to CSPI. The type of data used in this study is secondary data with quantitative approach. The sampling is based on time series data from 2016-2018 using purposive sampling methodso that 36 samples are obtained. This research uses multiple uses multiple regression analysis method using SPSS 2.2. The results of this study indicate that during the period 2016-2018 inflation does not affect CSPI, the interest rate have negative affect on CSPI and exchange rate have positive affect on CSPI. Future research is expected to add another independent variable and extend the time range of the research to obtain ore accurate and comprehensive results. Keywords: Inflation, Interest Rate, Exchange Rate, Composite Stock Price Indonesia


2021 ◽  
pp. 1-14
Author(s):  
Aditya Arief Rachmadhan ◽  
Nunung Kusnadi ◽  
Andriyono Kilat Adhi

The policy objective of Government Purchase Price (HPP) of plantation white sugar in Indonesia is to increase the production. However, while the government increase the HPP, the production was decreased. The purpose of this study was to analize the impact of HPP policy on production of plantation white sugar in Indonesia. This study uses ex-post simulation based on econometrics model (build from monthly time series data from 2012 until 2017, consist of 13 equations and estimated using 2SLS method). The results, ex-post simulation shows that an increase HPP causes an increase in plantation white sugar production and producer surplus. However, an increase in labor wages cause decreased in production. The increase HPP also causes an increase in producer surplus. Based on producer surplus, the biggest impact of the increase in HPP was felt by the farmers.


2021 ◽  
Vol 6 (5) ◽  
pp. 268-275
Author(s):  
Tegar Prasetya ◽  
Hakiman Thamrin

This study aims to analyze the effect of macroeconomic variables on the return on banking assets. The data processing method used by the researcher is using the Vector Error Correction Model (VECM) as a data analysis tool and this study confirms that the extent to which it examines the positive and significant influence between macroeconomic variables on the return on banking assets. The data obtained is secondary data based on financial statements within a period of 3 years using monthly time series data. The results of this study indicate that there is a positive and significant effect on the exchange rate and CPI variables while it is negative and significant on the inflation, interest rate and IPI variables resulting from the long-term VECM estimation. While the results show that there is a positive and significant effect on the interest rate and CPI variables and a significant negative on the inflation variable, positive and insignificant on the exchange rate variable, negative and insignificant on the IPI variable on the ROA of the short-term VECM estimation results. The results of the measurement of the composition or contribution of the influence of the independent variable on the dependent variable show the interest rate variable with a value of 4.11% in the 10th period obtained through the results of the decomposition variance (VD) test on the return on assets (ROA) of banking studies at Conventional Commercial Banks in Indonesia.


2019 ◽  
Vol 5 (2) ◽  
pp. 34 ◽  
Author(s):  
Cordelia Onyinyechi Omodero ◽  
Sunday Mlanga

Stock market is an essential part of a nation’s economy and requires adequate evaluation of all factors that militate against its performance. This study investigates the role of macroeconomic variables in determining the stock market performance in Nigeria using annual time series data covering a period from 2009 to 2018. These data have been sourced from the World Bank Development Indicators, International Monetary Fund and CBN Statistical Bulletin. The results from the regression analysis indicate that exchange rate and interest rate do not have significant impact on share price index while inflation rate exerts a significant negative influence on share price index. On the contrary and in line with the concept of GDP and stock market performance, GDP significantly and positively impacts on share price index. The study among others suggests that the growth of the economy should be maintained to keep stock market flourishing while macroeconomic variables such as inflation, interest rate and exchange rate should be appropriately regulated by the relevant authorities to curtail all negative influences on stock market performance.


2019 ◽  
Vol 2 (2) ◽  
pp. 90
Author(s):  
Harits Ar Rosyid ◽  
Mutyara Whening Aniendya ◽  
Heru Wahyu Herwanto ◽  
Peizhi Shi

The development of Indonesia's imports fluctuate over years. Inability to anticipate such rapid changes can cause economic slump due to inappropriate policy. For instance, recent years imports in rice led to the extermination of rice reserves. The reason is to maintain the market price of rice in Indonesia. To overcome these changes, forecasting the amount of imports should assist the Government in determining the optimum policy. This can be done by utilizing an algorithm to forecast time series data, in this case the amount of imports in the next few months with a high degree of accuracy. This study uses data obtained from the official website of the Indonesian Ministry of Trade. Then, Seasonal Autoregressive Integrated Moving Average (SARIMA) method is applied to forecast the imports. This method is suitable for the interconnected dependent variables, as well as in forecasting seasonal data patterns. The results of the experiment showed that 6-period forecast is the most accurate results compared to forecasting by 16 and 24 periods. The research resulted in the best model, that is ARIMA (0, 1, 3)(0, 1, 1)12 produces forecasting with a MAPE value of 7.210 % or an accuracy rate of 92.790 %. By applying this imports forecast model, the government can have a forward strategic plans such as selectively imports products and carefully decide the amount of the incoming products to Indonesia. Hence, it could maintain or improve the economic condition where local businesses can grow confidently. 


Sign in / Sign up

Export Citation Format

Share Document