Master in Financial Analystics

In the textbook “Becoming a master student”. I chose 5 articles to read, and I learn a lot of strategies and skills to improve my academic. The eight articles that I have read are: Chapter Seven, Becoming a Critical Thinker, page 229. Chapter Eight, Academic integrity: Avoiding plagiarism, page 287. Chapter Nine, Dealing with sexism and sexual harasment, page 315. Chapter Ten, Spend less money, page 337. Chapter Eleven, Ways to change a habit, page 363. Chapter Eleven, Suicide is no sulution, page 380. Chapter Twelve, Create your career now, page 402. Chapter Twelve, Surviving your first day on a new job, page 421.

ABC Chemicals is a medium-sized chemical distributor located at the rear of a large metropolitan shopping precinct. ABC Chemicals purchase large quantities of cleaning chemicals. These are delivered in 205 litre drums and include solvents, acids and other corrosives, and detergents. These products are decanted by ABC Chemicals’ workers into retail size containers (not exceeding 30 litres/ kilograms), re-labelled and shipped in company-badged delivery vehicles to retail outlets throughout the metropolitan area.

I am keen to bridge the knowledge gaps in my current work profile at S&P Capital IQ by enrolling myself in Masters in Business Analytics from Bentley University. This program will bring me closer to my goals, helping me gain an understanding of analytical models, advanced statistics and sophisticated computational tools, and apply the same in business applications. I believe my work experience and prior education has readied me for this program and with this I hope to make my startup dream a

Aware of the importance of critical research and analysis experience combined with a comprehensive mathematics background to succeed in the PhD program at ****, I decided first to apply to the Research Master degree at Nova School of Business and Economics. In addition to the rigourous training offered through the various mathematics and econometrics courses of the program, one the most interesting features of studying at Nova is the opportunity of

Any new venture would be expected to achieve a return on capital employed in line with that experienced recently by Bellingham plc. The finance director favours a payback period of 5 years. Bellingham would therefore need to agree a realistic acquisition price for such a new venture and its future cash flows in order to determine whether these criteria could be met.

Ehrhardt, M.C. & Brigham, E.F. (2011). Financial Management: Theory and Practice, Ed 13. Ohio: South-Western Cengage Learning.

How data mining can assist bankers in enhancing their businesses is illustrated in this example. Records include information such as age, sex, marital status, occupation, number of children, and etc. of the bank?s customers over the years are used in the mining process. First, an algorithm is used to identify characteristics that distinguish customers who took out a particular kind of loan from those who did not. Eventually, it develops ?rules? by which it can identify customers who are likely to be good candidates for such a loan. These rules are then used to identify such customers on the remainder of the database. Next, another algorithm is used to sort the database into cluster or groups of people with many similar attributes, with the hope that these might reveal interesting and unusual patterns. Finally, the patterns revealed by these clusters are then interpreted by the data miners, in collaboration with bank personnel.4

Jackson Corporation’s bonds have N=12 years remaining to maturity. Interest is paid annually, the bonds have a FV=$1,000 par value, and the coupon interest rate is PMT=8%. The bonds have a yield to maturity of I=9%. What is the current market price of these bonds? $928.39

On the other hand, my interest in the incorporation of artificial intelligence and machine learning by financial institutions stems from my work as a Credit Risk Analyst for BECU. I recently joined the institution, and am working on a year-long project to integrate the Synergy Component System which will enable increased automation, improved attribution management, and reduced decision times for credit card and auto loans. Beyond testing plans and cases, I am most excited about designing decision matrices by analyzing member data such as credit quality, debt-to-income ratio, membership years, and trade lines to reach a credit decision. While I have had already experienced academic research, this will be my first taste of applied industry research.

This project proposal will set out to influence Westpac’s decision in funding the most effective data-mining model. This model will help to differentiate the financial institutions products in the current saturated market. Westpac must appeal to all demographics and it is extremely important to develop products for the growing generations. The model proposed will analyse the institutions current historical data to shed light on the risk of lending a loan to millennials. By discussing past studies and research, the report will analyse how others have struggled to deal with this exact problem. The data-mining model will follow the Cross Industry Process for Data Mining (CRISP-DM) Methodology to present the proposal. The document also includes a plan and timetable to highlight how doable this task will be.

The CFA Institute Research Challenge is an annual global competition that provides university students with mentoring and hands-on training in financial analysis. Our team was tasked with providing a detailed investment recommendation on Southwest Airlines. As the team leader, I assigned research and ensured the consolidation of all the research. Our team was one of eight schools in the southwest region of the country chosen to advance to the next level of the competition. We presented

In today’s society, people attend colleges or universities, graduate and receive a degree in a specific interest. However, after earning a degree, many people find themselves lost as to which position or occupation is pertinent to their specialized vocation. In fact, the majority of individuals experience a difficult time obtaining employment in their career specialty and tend to settle for job outside their scope with a lower pay grade. Therefore, in order to be better prepared when searching for employment, people should conduct the proper research. Given the importance of obtaining a position that corresponds to one’s expertise and education, one will elaborate on the finance environment. In addition, one will discuss the types of

I choose to study finance because studying finance has enabled me to see the world in a different light. I’m aware that financial instability and its effects on the economy can be very costly due to spill over effects to other parts of the economy. This is like what happen during global recession 2008 where it affects many countries through increase in the poverty rate, increase unemployment rate, poor stock market performance and etc. This subject has inspired me to increase my awareness of the current world issues through regularly reading magazine such as “The Economist” , “The Edge” and etc. Reading several books, namely by Warren Buffet, Robert J.Shiller and others has provided me with a better understanding of finance world as well. I choose to study the financial market programme at Kent business school because Kent is in 30 top list universities in united kingdom, beside the programme has been recognised by two world renowned professional bodies, the CFA Institute and PRMIA (Professional Risk Managers’ International Association).

Brigham, Eugene F., and Joel F. Houston. Fundamentals of Financial Management. Thomson: South-Western Publishers, Eleventh Ed. 2007.

As someone who has great enthusiasm for mathematics and a strong interest in financial modeling, I find myself drawn to Statistics above all other subjects. Additionally, my undergraduate study at Harbin Institute of Technology has provided me with a strong foundation in mathematics and economics, and I’ve also been able to develop my ability to apply statistical methodology through research experience on Prediction of Interest Rate Term Structure. I have no doubt that my enthusiasm, diligence, and cooperative spirit will make me an asset to MStat of the University of Hong Kong.