The study of quantitative methods in finance refers to the mathematical and statistical techniques used across the finance sector. The methods observed under this discipline find applications across economics, accounting and financial planning activities. The scope and application of quantitative methods is vast, and assignments can be based on a variety of topics like statistical financial modelling, hypotheses testing and inference, correlation and regression, time series forecasting, and understanding the nature of economic data. Because these can be very challenging, students are often found googling ‘do my finance and quantitative methods assignment’ over the internet.
These assignments require a strong background in regression modelling, investment science, probability, real data analysis and matrix algebra. The analysis of financial data as required by these assignments can be very time-consuming, making it hard for students to juggle between different subjects’ homework. Troubled, they seek online finance and quantitative methods assignment help through guided sessions.
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Our finance and quantitative methods assignment experts have provided a lot of finance and quantitative methods assignment answers in the past. These have been based on time series analyses, linear regressions and drawing inferences from statistical results, econometrics, the importance of the stationarity of variables, the use of STATA, etc. We will be sharing a finance and quantitative methods assignment example to give you an idea of the types of assignments we have assisted with.
The below assignment is based on researching Aveo Group Limited, a top 100 ASX company. Aveo’s reputation had suffered a blow from the Four Corners Study, broadcasted on ABC. Due to the coverage, Aveo’s share price took a dip of 11 percent, resulting in a two-year low. As part of the assignment, students were asked to watch the broadcast and research over the internet. The below questions were answered by our finance and quantitative methods assignment experts.
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