2022 ◽  
Vol 9 (12) ◽  
pp. 222-241
G. A Eriyeva ◽  
C.N. Okoli

This paper focused on comparative performance of GARCH models, ascertaining the best model fit, estimating the parameters and making prediction from optimal model. The study used UBA daily stock exchange prices sourced from the official websites of,on the daily basis of the Nigeria stock exchange rate over a period of ten years from 06/06/2012 – 04/06/2021. Five GARCH models (SGARCH, GJRGARCH or TGARCH, EGARCH, APGARCH and IGARCH) were fitted to the secondary data set of the Nigerian Stock exchange market for the period of June 2012- June 2021 and the results of the findings were obtained. The AIC results were SGARCH (1,1) (-6.1784), GJRGARCH (1,1) (-6.1778), EGARCH (1,1) (-6.1714) , APGARCH (1,1) (-6.1245) and IGARCH(1,1)  with the value of AIC -6.1793. The EGARCH (1, 1) was found to be the optimal model with AIC value of -6.1714.   The further findings indicated volatility clustering and leverage effect. The result of the analysis equally showed parameter estimates of the EGARCH (1,1) model and all the parameters were significant including mean and alpha. Prediction using the optimal model was made with an initial out of sample of 200 and n ahead of 200 with predicted values within the 95% confidence interval resulting there is no sign of volatility and clustering.  Based on the findings of the study, other time series packages should be compared with GARCH models, data should be making available for easy access and investors should be encouraged to invest in United Bank for Africa (UBA, Nigeria).

2016 ◽  
Vol 8 (1) ◽  
pp. 53-74
Maria Jeanne ◽  
Chermian Eforis

The objective of this research is to obtain empirical evidence about the effect of underwriter reputation, company age, and the percentage of share’s offering to public toward underpricing. Underpricing is a phenomenon in which the current stock price initial public offering (IPO) was lower than the closing price of shares in the secondary market during the first day. Sample in this research was selected by using purposive sampling method and the secondary data used in this research was analyzed by using multiple regression method. The samples in this research were 72 companies conducting initial public offering (IPO) at the Indonesian Stock Exchange in the period January 2010 - December 2014; perform initial offering of shares; suffered underpricing; has a complete data set forth in the company's prospectus, IDX monthly statistics, financial statement and stock price site (e-bursa); and use Rupiah currency. Results of this research were (1) underwriter reputation significantly effect on underpricing; (2) company age do not effect on underpricing; and (3) the percentage of share’s offering to public do not effect on undepricing. Keywords: company age, the percentage of share’s offering to public, underpricing, underwriter reputation.

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Mithun Nandy

Purpose This paper aims to study the impact of research and development (R&D) activities on the financial performance of Indian pharmaceutical companies listed with the national stock exchange (NSE) of India by conceptualizing R&D’s impact and financial performance framework (RDiFPF). Design/methodology/approach Strongly balanced panel data set was used for the period of 1999–2020 on the basis of secondary data subscribed from a reputable Capitalline, a corporate database as well as individual company-wise annual report extract for cross-validation. Findings The paper presents a novel conceptualized framework called RDiFPF with the help of financial performance related variables: sales turnover, return on assets, return on equity and market capitalization, where R&D impacts in a significant manner on the financial performance of the NSE-listed Indian pharmaceutical companies. The paper finally establishes a link between R&D activities and financial performance with respect to the Indian pharmaceutical companies listed with the NSE. Research limitations/implications The suggested framework opens new dimension of research with respect to R&D, innovative practices in the pharmaceutical business and financial performance. The research can also be used in teaching and may be beneficial for framing public policy. Though the study has been carried out in Indian context, it might have implications in the emerging economies. Practical implications To achieve financial returns, pharmaceutical companies need to adopt appropriate endeavour to invest substantial amount on R&D to bring innovation in the pharmaceutical business. Social implications A better allocation of R&D expenditure has the potential for bringing new medicine, which can cure unknown diseases and impact on the lives of the patient fraternities. Originality/value The contributions of the paper are twofold: on the one hand, the author proposes a framework where emphasis has been provided on the R&D investment in the pharmaceutical business and, on the other hand, significant financial performance has been shown which motivates every R&D-centric pharmaceutical companies. Notably, the novel RDiFPF framework, which has been proposed in this study, may ignite and inspire the pharmaceutical business leaders as well as entrepreneurs to take R&D and innovation in pharmaceutical business for impacting human lives as well as to enjoy significant financial returns by providing health-care solution for treating novel diseases and disorders.

2017 ◽  
Vol 12 (2) ◽  
Evelyn Natasha ◽  
Sumami Sumami

This study aimed to analyze the effect of flood that occurred in Jakarta toward the return of sectoral stock indices listed on the Indonesia Stock Exchange in the period 2000-2013. The hypothesis of this study is that there are significant effect of floods occurred in Jakarta toward the return of sectoral stock indices listed on the Indonesia Stock Exchange in the period 2000-2013.The data used in this study are secondary data, daily closing prices of sectoral indices in 2000 and 2013 were obtained from the library of the Indonesia Stock Exchange. While the analysis is the analysis of time series with GARCH models. The results of this study are that there are significant effect of floods occurred in Jakarta toward the return of sectoral indices, which 4 of the 10 sectors in 2002, 3 sector in 2007, and 2 sector in 2013. The sectors that are affected significantly are the consumer goods sector, property and real estate, finance, and trade, services and investment.

2016 ◽  
Vol 8 (1) ◽  
pp. 152 ◽  
Dana Mohammad AL-Najjar

<p>Financials have been concerned constantly with factors that have impact on both taking and assessing various financial decisions in firms. Hence modelling volatility in financial markets is one of the factors that have direct role and effect on pricing, risk and portfolio management. Therefore, this study aims to examine the volatility characteristics on Jordan’s capital market that include; clustering volatility, leptokurtosis, and leverage effect. This objective can be accomplished by selecting symmetric and asymmetric models from GARCH family models. This study applies; ARCH, GARCH, and EGARCH to investigate the behavior of stock return volatility for Amman Stock Exchange (ASE) covering the period from Jan. 1 2005 through Dec.31 2014. The main findings suggest that the symmetric ARCH /GARCH models can capture characteristics of ASE, and provide more evidence for both volatility clustering and leptokurtic, whereas EGARCH output reveals no support for the existence of leverage effect in the stock returns at Amman Stock Exchange.</p>

2018 ◽  
Vol III (III) ◽  
pp. 158-174
Muhammad Nisar Khan ◽  
Adnan Ahmad ◽  
Noor Jehan

This paper investigates listed firm efficiency on Pakistan Stock Exchange by using Data Envelopment Analysis (DEA). The reason for application and calculation of the DEA score is to know how much the firms are efficient in utilizing their resources to be converted into output (sales/Net Income). An optimization technique (DEA) that helps calculate efficiencies of firm’s decision making Units (DMU’s) by taking different inputs and outputs variables. This paper uses DEA in measuring efficiency of 136 Pakistani firms listed on Pakistan Stock Exchange (PSX). Using secondary data set of 136 firms for the period 2008-2017, efficiency measurements are calculated by using financial ratios and financial indicators as input and output variables. Results show that some of the firms are efficient in utilizing their available resources in an efficient way to convert it into output, while some are inconsistent in efficiently utilizing their resources (inputs) to get the desired outputs.

2018 ◽  
Vol 26 (1) ◽  
pp. 95-111
Sulastiningsih Sulastiningsih ◽  
Rizka Imanita Sholihati

This study aims to determine whether the financial performance measured by using CAR, ROA, LDR, BOPO, and CSR can affect the value of banking companies as measured by using PBV. This study uses secondary data taken from the annual report of banking companies during the year 2012-2016 listed on the Indonesia Stock Exchange. The number of samples of this study as many as 25 banking companies with a total of 125 data. This research method is quantitative research. The results of this study indicate the effect of CAR, ROA, LDR, BOPO, and CSR variables on firm value measured by using PBV in a banking company listed on the Indonesia Stock Exchange. Keywords: CAR, ROA, LDR, BOPO, CSR, PBV

2017 ◽  
Vol 24 (1) ◽  
pp. 54-70
Hasanah Setyowati ◽  
Riyanti Ningsih

This study aimed to obtain empirical evidence on the influence of fundamental factors, systematic risk and macroeconomics on the returns Islamic stock of companies incorporated in the Jakarta Islamic Index in 2010-2014. The variables used were the fundamental factors that are proxied by Earning Per Share (EPS), Return on Equity (ROE), Debt to Equity Ratio (DER); Systematic risk is proxied by Beta Shares; macroeconomic factors is proxied by the inflation rate and the exchange rate. The samples of this study are the enterprises incorporated in Jakarta Islamic Index (JII) at the Indonesian Stock Exchange. The sampling method was using purposive sampling. There were 12 samples of Islamic stocks that meet the criteria to be used as samples. The analysis model used is multiple linear regression techniques and the type of data used is secondary data. The study found that all variables, which are Earning Per Share (EPS), Return on Equity (ROE), Debt to Equity Ratio (DER), Beta stock, inflation and the exchange rate do not significantly affect the return of sharia stock either simultaneously or partially.

2018 ◽  
Vol 16 (2) ◽  
pp. 30
Dwikky Darmawan ◽  
Weny Putri

The purpose of this study is to determine the effects of political connection toward the earnings management of service sector companies with control variables firm size and audit quality. Firm�s political connection measured by using dummy variable. Earnings management is proxied by discretionary accrual which is measured by using Modified Jones Model. The research data applied in this study are the secondary data which are taken from the annual reports of service sector companies that listed in Indonesian Stock Exchange of 2016-2017 periods. There are 330 observations fit as sample, which are taken by using purposive sampling method. Data are processed by applying the multiple linear regression test. The result show that the political connection had positive but not significant influence to earnings management. Firm size had negative but not significant influence to earnings management. Whereas the audit quality had a negative and significant influence to earnings management.

Sudirman S ◽  
Muhammad Wahyuddin Abdullah ◽  
Muhammad Obie

This study examined the effect of current ratio and debt to asset ratio on net profit margin and stock prices of the sector basic industry and chemicals companies listed on the Indonesia Stock Exchange in the period 2015-2019. The object of research was the stock prices of companies in the Basic Industry and Chemicals sector, which have been published through the official website of the Indonesian capital market. It was used secondary data derived from the monthly statistics, including Current Ratio data, Net Profit Margin, Debt to Asset Ratio, and data on closing prices for the period 2015-2019. In analyzing data, it was used path analysis of secondary data obtained from the basic industry sector financial statements of 60 companies. The company's performance in this sector is considered quite good when seen from the movement of the index value in the last five years. The results show that direct current ratio had a positive and significant effect on the net profit margin, and the debt to equity ratio did not significantly influence the net profit margin. The current ratio has a positive and significant effect on stock prices, and the debt to equity ratio has a negative and not significant effect on stock prices. In contrast, the net profit margin has a significant effect on stock prices in the basic industry sector companies on the Indonesia Stock Exchange. Indirectly the current ratio has a positive and significant effect on stock prices. In contrast, the debt to asset ratio has a negative and not significant effect on the company's stock prices in the basic industry sector on the Indonesia Stock Exchange.

2019 ◽  
Vol 13 (2) ◽  
pp. 55
Indar Khaerunnisa ◽  
Edy Cahyadi

The Indonesian government has set the motor vehicle industry as one of the priority industries of the national interest, economic growth, and increased productivity. In order for the survival of a company is maintained, then the management should be able to maintain or even more spur increased performance. Various analyzes were developed to predict the beginning of the bankruptcy of the company. One analysis is widely used today is the analysis of Altman Z-Score, which this analysis refers to the financial ratios of the company. The purpose of this study was to analyze the bankruptcy of the automotive components companies that go public in Indonesia Stock Exchange year period 2011–2015. This study used a sample of four companies from the automotive components sector. Source of data is done by using secondary data. The data is processed by the method of the Z-score formula Z = 1,2X1 + 1,4X2 + 3,3X3 + 0,6X4 + 0,999X5. With the description of Z < 1,8 the company categorized into unhealthy/will be bankrupt, the value Z 1,8 < 2,99 the company is considered to be in the uncertain/grey area and the value of Z > 2,99 then the company is in a very healthy. In general, the results of these studies indicate that the four automtive components companies namely PT Astra Otoparts year 2011 value of Z = 14,67 year 2012 value of Z = 10,88 year 2013 value of Z = 13,90 year 2014 value of Z = 10,54 year 2015 value of Z = 4,94, PT Gajah Tunggal year 2011 value of Z = 5,72 year 2012 value of Z = 4,75 year 2013 value of Z = 3,10 year 2014 value of Z = 2,79 year 2015 value of Z = 1,58 and the average value of 2011-2015 periode Z = 3,59, PT Goodyear Indonesia year 2011 value of Z = 2,07 year 2012 value of Z = 2,44 year 2013 value of Z = 2,57 year 2014 value of Z = 2,02 year 2015 value of Z = 2,76, PT Indomobil Sukses Internasional year 2011 value of Z = 6,19 year 2012 value of Z = 3,99 year 2013 value of Z = 3,17 year 2014 value of Z = 2,59 year 2015 value of Z = 1,74. The average value 2011-2015 period showed 3 companies are in very healthy state and 1 company is in the uncertain/grey area. Keywords: Financial Ratio Analysis, Analysis of bankruptcy, Altman Z-Score Analysis, Automotive Components Company, Go Public.

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