Lam Weng Hoe
Universiti Tunku Abdul Rahman

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Analysis on the Performance of Technology Companies with Z-score Model Lam Weng Hoe; Yeoh Hong Beng; Lam Weng Siew; Chen Jia Wai
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.968 KB) | DOI: 10.11591/eei.v7i4.1353

Abstract

Local technology sector plays a significant role in information and communication technology (ICT) based innovations and applications which enhance organizational performance as well as national economic growth and labor productivity. In this paper, financial performance of the listed Malaysia companies in technology sector is analyzed and evaluated. Altman’s Z-score model is proposed due to its robustness in determining companies’ financial distress level using five financial ratios as variables. The computed Z-score values classify the financial status of the companies into distress, grey and safe zones. This study investigates the financial data of 23 listed technology-based companies in the Main Market of Bursa Malaysia over the period of 2013 to 2017. The findings reveal that the percentage of safe zone companies increase throughout the five years whereas distress zone companies decline. It is concluded that financial ratio for market value of equity to total liabilities is the dominant factor that directly influences the level of financial distress among these technology-based companies in Malaysia. These research outcomes provide an insight to investors or policy makers to develop future planning in order to avoid financial failure in local technology sector.
Analysis on the Performance of Technology Companies with Z-score Model Lam Weng Hoe; Yeoh Hong Beng; Lam Weng Siew; Chen Jia Wai
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.968 KB) | DOI: 10.11591/eei.v7i4.1353

Abstract

Local technology sector plays a significant role in information and communication technology (ICT) based innovations and applications which enhance organizational performance as well as national economic growth and labor productivity. In this paper, financial performance of the listed Malaysia companies in technology sector is analyzed and evaluated. Altman’s Z-score model is proposed due to its robustness in determining companies’ financial distress level using five financial ratios as variables. The computed Z-score values classify the financial status of the companies into distress, grey and safe zones. This study investigates the financial data of 23 listed technology-based companies in the Main Market of Bursa Malaysia over the period of 2013 to 2017. The findings reveal that the percentage of safe zone companies increase throughout the five years whereas distress zone companies decline. It is concluded that financial ratio for market value of equity to total liabilities is the dominant factor that directly influences the level of financial distress among these technology-based companies in Malaysia. These research outcomes provide an insight to investors or policy makers to develop future planning in order to avoid financial failure in local technology sector.
Analysis on the Performance of Technology Companies with Z-score Model Lam Weng Hoe; Yeoh Hong Beng; Lam Weng Siew; Chen Jia Wai
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.968 KB) | DOI: 10.11591/eei.v7i4.1353

Abstract

Local technology sector plays a significant role in information and communication technology (ICT) based innovations and applications which enhance organizational performance as well as national economic growth and labor productivity. In this paper, financial performance of the listed Malaysia companies in technology sector is analyzed and evaluated. Altman’s Z-score model is proposed due to its robustness in determining companies’ financial distress level using five financial ratios as variables. The computed Z-score values classify the financial status of the companies into distress, grey and safe zones. This study investigates the financial data of 23 listed technology-based companies in the Main Market of Bursa Malaysia over the period of 2013 to 2017. The findings reveal that the percentage of safe zone companies increase throughout the five years whereas distress zone companies decline. It is concluded that financial ratio for market value of equity to total liabilities is the dominant factor that directly influences the level of financial distress among these technology-based companies in Malaysia. These research outcomes provide an insight to investors or policy makers to develop future planning in order to avoid financial failure in local technology sector.
Performance analysis on telecommunication companies in malaysia with TOPSIS model Lam Weng Hoe; Lam Weng Siew; Liew Kah Fai
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i2.pp744-751

Abstract

Emergence of telecommunication companies is springing up due to the high demand from the consumers. The invention of telecommunication has made the world more knowledgeable as information can be transmitted easily. Based on the past studies, telecommunication is not commonly investigated especially in financial management field. Thereore, this study aims to propose a conceptual framework to evaluate, compare and rank the financial performance of the listed telecommunication companies in Malaysia using TOPSIS model. Financial ratios are employed to examine the financial performance of the telecommunication companies. The data of this study consists of DIGI, MAXIS, AXIATA and TM which are listed telecommunication companies in Malaysia stock market. The results of this study show that DIGI achieves the first ranking, followed by MAXIS, AXIATA and TM within the study period of year 2011-2015. This study is significant because it helps to evaluate, compare and rank the financial performance of the listed telecommunication companies in Malaysia with the proposed conceptual framework based on TOPSIS model.