(For your information‚ in this whole report‚ Petronas Dagangan Bhd‚ we will short it as PDB and Petronas Gas Bhd as PGB) Question (a) Background and Future Prospects of the selected Company i) History PDB is incorporated in 1982 and listed on the Main Board of Bursa of Bursa Malaysia in 1994. Notably‚ PDB is also known as the principal domestic marketing arm of Petroliam Nasioanal Berhad (PETRONAS) and Malaysia’s leading retailer and marketer of downstream oil and gas products. Today‚ PDB
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discount model tells us that the value of a firm is equal to the present value of its expected dividend payments. Some firms have never paid dividends and have no intention of doing so. Does this mean that these firms are worth nothing? Discuss with reference to academic research and theory. Answer 719 words Two schools about dividend policy: relevant dividend theory and irrelevant dividend theory The dividend discount model tells us the value of a firm is equal to the value of its
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Financial statements are essential accounting tools which include balance sheets‚ cash flow statements‚ and income statements that provide information on a company ’s past and present financial history. Information on financial statements can be used by any number of public and private entities to determine if an organization ’s financial status is healthy. Burger King and McDonald ’s are two organizations that use financial statements in conducting business. Further‚ this paper will discuss the
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IT255 Unit 1 Match Risks/Threats to Solutions: 1. Violaton of a security policy by a user – C 2. Disgruntled employee sabotage - I 3. Download of non-business videos using the internet to an employer-owned computer - A 4. Malware infection of a user’s laptop - L 5. Unauthorized physical access to the LAN - N 6. LAN server operating system vulnerabilities - F 7. Download of unknown file types - B 8. Errors and weaknesses of network router‚ firewall and network appliance configuration
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What ’s your favorite financial statement and why?" The question was spoken quickly and with a tinge of annoyance‚ as my interviewer eyed me disdainfully from his cushy black leather chair. The investment banker had little time to conduct these ridiculously long interviews that are standard fare for analyst candidates. I shifted uncomfortably in my seat and scanned my frazzled brain for the "right" answer. "Well‚ of course all three financial statements should be studied in conjunction
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Does pornography affect your life? It might if you are part of the “28‚258 people surfing porn” (Tech Crunch) that happens every one second. According to Gaddis (2009)‚ Pornography has existed for a long period of time although it has not been a serious problem that causes major issues until now in the 21 century. The pornography business has become a multibillion dollar industry. Access to pornography has become so easy to access that you do not have to even drive to your local shop for a playboy
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CHAPTER 9 ANALYSIS OF FOREIGN FINANCIAL STATEMENTS Chapter Outline I. Reasons to analyze financial statements of foreign companies include: • making foreign portfolio investment decisions‚ • making foreign merger and acquisition decisions‚ • making credit decisions about foreign customers‚ • evaluating foreign suppliers‚ and • benchmarking against foreign competitors. II. There are several problems an analyst might encounter in analyzing foreign financial statements‚ including:
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Advantages of Using Your Local Park for Exercise Were you aware? Insurance and health Care prices are on the rise due to obesity and physical inactivity. As obesity continues to increase‚ obesity and physical inactivity will continue to drive up the price of health care. The devastating increase of obesity may be credited to inactivity in Americans. Since some physical action is preferable to none‚ kids and adults who participate in a bit of action can get some health benefits. For significant health
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Association DOI: 10.2308/ajpt-50009 Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms Johan Perols SUMMARY: This study compares the performance of six popular statistical and machine learning models in detecting financial statement fraud under different assumptions of misclassification costs and ratios of fraud firms to nonfraud firms. The results show‚ somewhat surprisingly‚ that logistic regression and support vector machines perform well relative
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