scholarly journals The time series clustering of stock price in LQ45 index and its financial performance analysis

2021 ◽  
Vol 1943 (1) ◽  
pp. 012129
Author(s):  
Afrimayani ◽  
D Devianto
2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Abdul Hamid

This study is a qualitative study using a case study approach to the PT. Astra International, Tbk. The object of this research is PT. Astra International, Tbk. PT. Astra International, Tbk is a company engaged in six business sectors, namely: automotive,financial services, heavy equipment, mining and energy, agribusiness, information technology, infrastructure and logistics. Researchers chose PT. Astra International, Tbk as research objects due in the year 2012, PT. Astra International, Tbk managed to rank first in the list of 100 Best Companies to Go Public by the 2011 financial performance of Fortune magazines Indonesia. The data used in this research is secondary data, the financial statements. Astra International, Tbk 20082012. Other secondary data used is the interest rate of Bank Indonesia Certificates (SBI), the Jakarta Composite Index (JCI), and thecompanys stock price began the year 20082012. This study aims to determine the companys financial performance by the use of EVA and MVA approach, therefore the data analysis technique used is the EVA and MVA. Based on the value EVA of the year 2008 2012, PT. Astra International, Tbk has good financial performance that managed to meet the expectations of the company and the investors. Based on the value of MVA during the years 20082012, PT. Astra International, Tbk managed to create wealth and prosperity for companies and investors. It concluded that financial performance. AstraInternational, Tbk for five years was satisfactory.


2017 ◽  
Vol 13 (1) ◽  
pp. 46-62
Author(s):  
Aries Veronica

The purpose of this study was to determine financial performance to stock price ofminning industries at Indonesian Stock Exchange . This research is field research withdata collection techniques using documentation that the sample size is as much as 33emitten. To test the effect of the financial performance to stock price used multipleregression analysis techniques and to test research hypotheses, F test and t test.From the results of calculations using SPSS for Windows version 17, showed that: thevalue of R Square (R2) illustrates that the Stock price (Y), can be explained by thefinancial performance amounted to 65.6%, while the rest 34.4%, can be explained byother factors, which are not included in this study. F Hypothesis test results, obtainedvalue of sig. (98,701)>(0.05), this means that there is influence of the current ratio, totalasset turnover , return on investment, and total debt to total asset ratio together againststock price. While the results of hypothesis testing t as follows: 1) sig. (0.000)< (0.05),which means that there is effect current ratio to stock price; 2) sig.(0.004) < (0.05),which means that there is effect debt to equity ratio to stock price; 3) sig.(0.846) >(0.05), which means that there is no effect total asset turnover to stock price; 4)sig.(0.000) (0.05), which means that there is no effect return on investment to stock price,and 5) sig.(0.700)>(0.05), which means that there is no effect total debt to total assetratio to stock price


2020 ◽  
Vol 17 (4) ◽  
pp. 215-227
Author(s):  
Julia Babirath ◽  
Karel Malec ◽  
Rainer Schmitl ◽  
Kamil Maitah ◽  
Mansoor Maitah

The attempt to predict stock price movements has occupied investors ever since. Reliable forecasts are a basis for investment management, and improved forecasting results lead to enhanced portfolio performance and sound risk management. While forecasting using the Wiener process has received great attention in the literature, spectral time series analysis has been disregarded in this respect. The paper’s main objective is to evaluate whether spectral time series analysis can produce reliable forecasts of the Aurubis stock price. Aurubis poses a suitable candidate for an investor’s portfolio due to its sound economic and financial situation and the steady dividend policy. Additionally, reliable management contributes to making Aurubis an investment opportunity. To judge if the achieved forecast results can be considered satisfactory, they are compared against the simulation results of a Wiener process. After de-trending the time series using an Augmented Dickey-Fuller test, the residuals were compartmentalized into sine and cosine functions. The frequencies, amplitude, and phase were obtained using the Fast Fourier transform. The mean absolute percentage error measured the accuracy of the stock price prediction, and the results showed that the spectral analysis was able to deliver superior results when comparing the simulation using a Wiener process. Hence, spectral time series can enhance stock price forecasts and consequently improve risk management.


2013 ◽  
Vol 3 (2) ◽  
Author(s):  
N. Jyothi ◽  
Dr. T. Satyanarayana Chary

Financial performance of individual organizations differ very significantly, however, the performance is distinguishable between public sector companies and private sector companies as their nature and size of investment and business environment is different . The ECIL is a very vast growing company which requires additional funds on a regular basis, whether internal or external. Particularly, the company needs both long term and short-term finances in view of its present position and enormous scope for improvement in the services provided. The present paper is a modest attempt to discuss the financial performance analysis of ECIL, Hyderabad in terms operating profits, capital employed ratios and turnover in a comprehensive manner over a period of 10 years.


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