scholarly journals PERANCANGAN ALGORITMA DAN PEMROGRAMAN KOMPUTER DALAM BAHASA TURBO BASIC DAN PASCAL UNTUK PERHITUNGAN RASIO AKUNTANSI DAN MEMPREDIKSI TINGKAT KELANGSUNGAN HIDUP (GOING CONCERN) PERUSAHAAN DENGAN PARAMETER ALTMAN Z-SCORE

2017 ◽  
Vol 11 (3) ◽  
pp. 427
Author(s):  
Yudha Herlambang
Keyword(s):  
Programming Language ◽  
Source Code ◽  
Financial Statement ◽  
Programming Algorithm ◽  
Z Score ◽  
Going Concern ◽  
Alternative Method ◽  
External Auditor ◽  
Paper Author ◽  
Biased Information

As we know that,the aspect of going concern or bankruptcy of the entitiy become the issued or the problem must be considered by the external auditor.In the profession of Public Acccountant.\The external auditor must give the opinion objectively and independent. So that the Report of AuditorIndependent give the objective and right  information ( no biased information) to the external user of Financial Statement how to make decision. One of the judgement must be considered by the external auditor is the bancruptcy of the entity (auditee ).One of  the alternative method to decide the condition of entity’s going concern is Altman Z Score. In this paper,author will discuss about designing the Programming Algorithm  of Altman - Z Score. The author design the program mentioned above by using Quick Basic Programming Language and Pascal  Software.The author also design the accounting ratio programming into the part of source code or  listing program mentioned above

scholarly journals PERANCANGAN ALGORITMA DAN PEMROGRAMAN KOMPUTER DALAM BAHASA TURBO BASIC DAN PASCAL UNTUK MEMPREDIKSI TINGKAT KELANGSUNGAN HIDUP (GOING CONCERN) PERUSAHAAN DENGAN PARAMETER ALTMAN Z-SCORE

2018 ◽  
Vol 11 (3) ◽  
pp. 427-450
Author(s):  
Yudha Herlambang
Keyword(s):  
Programming Language ◽  
Source Code ◽  
Financial Statement ◽  
Programming Algorithm ◽  
Z Score ◽  
Going Concern ◽  
Alternative Method ◽  
External Auditor ◽  
Paper Author ◽  
Biased Information

As we know that,the aspect of going concern or bankruptcy of the entitiy become the issued or the problem must be considered by the external auditor.In the profession of Public Acccountant.\The external auditor must give the opinion objectively and independent. So that the Report of AuditorIndependent give the objective and right  information ( no biased information) to the external user of Financial Statement how to make decision. One of the judgement must be considered by the external auditor is the bancruptcy of the entity (auditee ).One of  the alternative method to decide the condition of entity’s going concern is Altman Z Score. In this paper,author will discuss about designing the Programming Algorithm  of Altman - Z Score. The author design the program mentioned above by using Quick Basic Programming Language and Pascal  Software.The author also design the accounting ratio programming into the part of source code or  listing program mentioned above

Directors' Responsibilities, Accountability, and Business Judgment: The Pierse Contracting Case

2019 ◽  
Vol 35 (1) ◽  
pp. 25-41
Author(s):  
Niamh M. Brennan
Keyword(s):  
Board Of Directors ◽  
Role Play ◽  
Financial Statements ◽  
Financial Statement ◽  
Legal Action ◽  
Going Concern ◽  
Legal Risks ◽  
External Auditor ◽  
Court Proceedings

ABSTRACT This case helps students understand the challenging decisions faced by a company's board of directors (i.e., survival of the company) and the legal risks directors experience when business fails. The case is based on actual court proceedings involving a company's liquidator taking legal action to restrict the tenure of the directors. Key judgments facing the directors and disputed by the liquidator include the valuation of financial statement assets and the preparation of the financial statements on a going-concern basis. The case also addresses directors' relationships with the company's external auditor/advisors. Students are asked to consider whether the directors acted responsibly in relation to their stewardship of the company and whether the directors should be held accountable and sanctioned following the company's collapse. The case adopts a novel courtroom setting, requiring students to role-play by adopting the characters and presenting the plaintiff's and defendants' lawyers' arguments, and the judges deciding the case.

Financial Statement Ratio Analysis to Predict Bankruptcy nn Company Registered in BEI - Jakarta (Altman Z-Score Method and Zmijewski)

2020 ◽  
Vol 3 (3) ◽  
pp. 122
Author(s):  
Andi Silvan
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Good Condition ◽  
Financial Statement ◽  
Depth Information ◽  
Z Score ◽  
Industrial Manufacturing ◽  
Financial Difficulties ◽  
A Value ◽  
Score Method

AbstractThis study takes the topic of predicting corporate bankruptcies. This research dqlam use traditional methods Altman Z-Score and Zmijewski. The purpose of this study was to obtain in-depth information about predicting bankruptcy of companies that are not necessarily directly to bankruptcy, but there is financial distress.Based on the results of research conducted on the four (4) non industrial manufacturing company listed on the Indonesia Stock Exchange (BEI). Obtaining the value z-score represents the average company are in good condition, which means no financial distress. Acquisition value of x-score has a value of less than 0 (zero) which means that the company is in good condition and is predicted not experiencing financial difficulties. This study led to the conclusion that the Altman Z-Score and Zmijewski method can be used to predict corporate bankruptcy. Keywords: Financial Ratios, Bankruptcy, Company.

PERANGKAT LUNAK KOMPUTER

2020 ◽  
Author(s):  
Cut Nabilah Damni
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Operating Systems ◽  
Source Code ◽  
Computer Software ◽  
Computer Programs ◽  
Application Systems ◽  
Executable Programs

AbstrakSoftware komputer atau perangkat lunak komputer merupakan kumpulan instruksi (program atau prosedur) untuk dapat melaksanakan pekerjaan secara otomatis dengan cara mengolah atau memproses kumpulan intruksi (data) yang diberikan. (Yahfizham, 2019 : 19) Sebagian besar dari software komputer dibuat oleh (programmer) dengan menggunakan bahasa pemprograman. Orang yang membuat bahasa pemprograman menuliskan perintah dalam bahasa pemprograman seperti layaknya bahasa yang digunakan oleh orang pada umumnya dalam melakukan perbincangan. Perintah-perintah tersebut dinamakan (source code). Program komputer lainnya dinamakan (compiler) yang digunakan pada (source code) dan kemudian mengubah perintah tersebut kedalam bahasa yang dimengerti oleh komputer lalu hasilnya dinamakan program executable (EXE). Pada dasarnya, komputer selalu memiliki perangkat lunak komputer atau software yang terdiri dari sistem operasi, sistem aplikasi dan bahasa pemograman.AbstractComputer software or computer software is a collection of instructions (programs or procedures) to be able to carry out work automatically by processing or processing the collection of instructions (data) provided. (Yahfizham, 2019: 19) Most of the computer software is made by (programmers) using the programming language. People who make programming languages write commands in the programming language like the language used by people in general in conducting conversation. The commands are called (source code). Other computer programs called (compilers) are used in (source code) and then change the command into a language understood by the computer and the results are called executable programs (EXE). Basically, computers always have computer software or software consisting of operating systems, application systems and programming languages.

Investor Reaction to Auditors' Going Concern Emphasis of Matter: Evidence from a Natural Experiment

2018 ◽  
Vol 38 (2) ◽  
pp. 27-55 ◽  
Author(s):  
Jean Bédard ◽  
Carl Brousseau ◽  
Ann Vanstraelen
Keyword(s):  
Trading Volume ◽  
Natural Experiment ◽  
Abnormal Returns ◽  
Data Availability ◽  
Financial Statement ◽  
Regulatory Change ◽  
Price Response ◽  
Going Concern ◽  
Incremental Value ◽  
Investor Reaction

SUMMARY Using a “natural experiment” provided by a change in Canadian auditing standards requiring an emphasis of matter paragraph in the auditor's report (GC-EOM) when the financial statements include a going concern uncertainty disclosure (GC-FS), this paper examines the incremental investor reaction to the auditor's report over the related GC-FS. Conditioning on the linguistic severity of the GC-FS (weak and severe), we first document a negative price response to severe but not to weak GC-FS before the regulatory change. This implies that investors react to financial statement disclosures and account for their degree of interpretability in the absence of a GC-EOM. When the uncertainty disclosure is accompanied by a GC-EOM, we find incremental negative abnormal returns and lower abnormal trading volume only for weak GC-FS. Collectively, these findings imply that an emphasis of matter paragraph in the auditor's report can have incremental value to investors. JEL Classifications: M42; G12; G14. Data Availability: Data used are available from public sources identified in the study.

scholarly journals Validity of Altman Z-Score Model to Predict Financial Failure: Evidence From Jordan

2018 ◽  
Vol 10 (8) ◽  
pp. 181 ◽  
Author(s):  
Sufian Al-Manaseer ◽  
Suleiman Al-Oshaibat
Keyword(s):  
Stock Exchange ◽  
Financial Statement ◽  
Insurance Companies ◽  
Z Score ◽  
Financial Reports ◽  
Financial Failure ◽  
Amman Stock Exchange ◽  
The Face ◽  
The Subject ◽  
Score Model

This paper aims to investigate the Validity of Altman z-score model to predict financial failure in insurance companies listed on Amman Stock Exchange (ASE) over the period 2011-2016. To achieve the goal of the study, the study depended on the different statistics analytical method and Multiple Linear Regression through doing the statistical analysis of the independent variables on the dependent variable related to the subject of the study through the (E-views) program in order to cover the analytical part of the study, in addition to the descriptive method through relying on books, periodicals, previous studies and financial reports of the insurance companies of the study’ sample, whether the direct or the indirect ones, to cover the theoretical part. The result of the study finds a high predictive power for Z-score model. Moreover, the findings reveal that Z-Score model could be valuable instrumental indicators for many users of financial statement such as financial managers, auditors, lenders, investors, to make right decisions in the face of financial failure.

scholarly journals ATLaS: Assistant Software for Life Scientists to Use in Calculations of Buffer Solutions

2021 ◽  
Vol 15 (4) ◽  
pp. 541-545
Author(s):  
Ugur Comlekcioglu ◽  
Nazan Comlekcioglu
Keyword(s):  
Programming Language ◽  
Life Science ◽  
Source Code ◽  
Experimental Results ◽  
Acid Base ◽  
Buffer Solutions ◽  
Python Programming Language ◽  
Science Laboratories ◽  
Executable File ◽  
Python Programming

Many solutions such as percentage, molar and buffer solutions are used in all experiments conducted in life science laboratories. Although the preparation of the solutions is not difficult, miscalculations that can be made during intensive laboratory work negatively affect the experimental results. In order for the experiments to work correctly, the solutions must be prepared completely correctly. In this project, a software, ATLaS (Assistant Toolkit for Laboratory Solutions), has been developed to eliminate solution errors arising from calculations. Python programming language was used in the development of ATLaS. Tkinter and Pandas libraries were used in the program. ATLaS contains five main modules (1) Percent Solutions, (2) Molar Solutions, (3) Acid-Base Solutions, (4) Buffer Solutions and (5) Unit Converter. Main modules have sub-functions within themselves. With PyInstaller, the software was converted into a stand-alone executable file. The source code of ATLaS is available at https://github.com/cugur1978/ATLaS.

Pengaruh Prediksi Kebangkrutan Model Altman Z-Score, Reputasi Auditor dan Opinion Shopping terhadap Opini Audit Going Concern

Owner ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 343-355
Author(s):  
Muhammad Yunus ◽  
Calen Calen ◽  
Sarida Sirait
Keyword(s):  
Stock Exchange ◽  
Sampling Technique ◽  
Bankruptcy Prediction ◽  
Manufacturing Companies ◽  
Z Score ◽  
Audit Opinion ◽  
Going Concern ◽  
Opinion Shopping ◽  
Score Model ◽  
Auditor Reputation

This study aims to determine the effect of the bankruptcy prediction of the Altman z-score model, auditor reputation and opinion shopping on going concern audit opinion in manufacturing companies listed on the Indonesia Stock Exchange in 2015-2019. This research is a causal associative research with a quantitative approach. The sample in this study were 25 manufacturing companies listed on the Indonesia Stock Exchange which were determined using purposive sampling technique. Observations in this study were carried out throughout the period 2015 to 2019 so that the number of observations was 125 data. The type of data used in this study is secondary data. While the data analysis method used in this research is panel data regression analysis with statistical data processing software, namely STATA. Based on the results obtained in this study, it can be seen that the prediction of bankruptcy based on the Altman z-score model has no significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange. Auditor reputation is proven to have a negative and significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange. And opinion shopping is also proven to have a negative and significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange.

Fintech in financial reporting and audit for fraud prevention and safeguarding equity investments

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Paulina Roszkowska
Keyword(s):  
Financial Reporting ◽  
Financial Statements ◽  
Financial Statement ◽  
Financial Fraud ◽  
Financial Statement Fraud ◽  
Content Type ◽  
Financial Scandals ◽  
External Auditor ◽  
Equity Investments

Purpose The purpose of this paper is to explore the audit-related causes of financial scandals and advice on how emerging technologies can provide solutions thereto. Specifically, this study seeks to look at the facilitators of financial statement fraud and explain specific fintech advancements that contribute to financial information reliability for equity investments. Design/methodology/approach The study uses the case studies of Enron and Arthur Andersen to document the evidence of audit-related issues in historical financial scandals. Then, a comprehensive and interdisciplinary literature review at the intersection of business, accounting and engineering, provides a foundation to propose technology advancements that can solve identified problems in accounting and auditing. Findings The findings show that blockchain, internet of things, smart contracts and artificial intelligence solutions have different functionality and can effectively solve various financial reporting and audit-related problems. Jointly, they have a strong potential to enhance the reliability of the information in financial statements and generally change how companies operate. Practical implications The proposed and explained technology advancements should be of interest to all publicly listed companies and investors, as they can help safeguard equity investments, thus build investors’ trust towards the company. Social implications Aside from implications for capital markets participants, the study findings can materially benefit various stakeholder groups, the broader company environment and the economy. Originality/value This is the first paper that seeks solutions to financial fraud and audit-related financial scandals in technology and not in implementing yet another regulation. Given the recent technology advancements, the study findings provide insights into how the role of an external auditor might evolve in the future.

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