Portfolio Activity Unit 1

Posted: August 27th, 2021

Portfolio Activity Unit 1

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Portfolio Activity Unit 1

Quantitative skills are any capabilities that involve manipulating or using numbers to solve or complete a problem (Brine,2005). Quantitative skills are essential for applied mathematics, algebra, economics, statistics, and finance. Measuring, analyzing, and managing budgets are examples of quantitative work vital within financial management(Luecke, 2002). Thus, in financial management, I have encountered both strengths and weaknesses regarding quantitative skills, as illustrated in the subsequent discussions.

One of my main strengths is the interpretation and collection of data. I can collect data, analyze, and then interpret it using different algebra and statistics theories. Hence, I can acquire usable and useful information in making financial decisions (James,2016). Therefore, these skills provide limitless benefits for future predictions, data outlier identification, data comparison, and data explanation.

Manipulation of empirical data is also one of my core strengths in quantitative skills. I can produce different interpretations and results, leading to a good understanding. I can appropriately use and transform data into useful insights like performing trends, customer behavior, and financial accounts (Brine,2005). As a skill, data manipulation enhances the provision of reports. Thus, this facilitates creating a forecast, predicting trends, and running analysis models to attain desired objectives.

Equally, finding patterns in the data is essential in financial management. I can easily interpret the data by applying various theoretical concepts. This is enabled through graphs, tables, or charts when necessary(Luecke, 2002). Finding data patterns is vital; since it makes my tasks more straightforward and quicker. I believe issues are easier solved when they share specific patterns. Therefore, I can use a similar problem-solving approach when the same problem pattern exists.

Additionally, I have exceptional social and communication skills. This is in addition to advanced programming and analytical skills that help explain my finding and analysis in an exciting approach (Meyer-Krahmer, 2019; Luecke, 2002). Thus, I am good at making deductions, drawing inferences, logical reasoning.

Contrary, one of my main weaknesses concerning quantitative skills is the primary data collection approach. I find that collecting raw data is very difficult for me, and I struggle a lot. Another weakness in quantitative skills is that I often encounter data software packages such as SAS and Matlab(James,2016; Brine, 2005). Hence, this limits my ability to predict both non-market and market events. Another weakness is the lack of extensive research capabilities, which is incredibly valuable to librarians and legal assistants(Brine, 2005; Luecke, 2002). A person’s abilities cannot be measured by analysis, although observers can record either terrible or good researchers. People with skills in this area can find all kinds of relevant information from reliable sources and obtain it in a relatively short period (Luecke, 2002). Thus, this has limited my ability to enhance familiarity with accessible resources besides compiling a detailed list of potential sources to enrich research.

Also, I face challenges regarding formatting styles, which are demonstrated in all my final works. I tend to use wrong formats, which are contrary to the knowledge ofthe American Psychological Association (APA) format. Hence. I need more discipline to read. Nonetheless, reading alone is not enough; I need a theoretical application, critical research, and conceptualized understandings(Brine, 2005). Therefore, I can read only to complete the required tasks without discipline but not to understand the concepts. I sincerely hope to take this course seriously to improve my financial management skills. I thank the course teacher for supporting the specific reading lessons of Module One.

References

Brine, A. (2005). Skills, strengths, and weaknesses. Continuing Professional Development, 13-34. https://doi.org/10.1016/b978-1-84334-081-2.50002-6

James, J. (2016). Quantitative finance. Quantitative Finance. https://doi.org/10.1088/978-0-7503-1368-1ch1

Luecke, R. (2002). Finance for managers (Vol. 1). Harvard Business Press.

Meyer-Krahmer, F. (2019). Quantitative approaches—Strengths and weaknesses. Scientometrics, 45(3), 413-415. https://doi.org/10.1007/bf02457600