Empirical Methods in Finance Assignment Help Australia

Introduction to Empirical Methods in Finance Assignment Help

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This course unit includes advanced theoretical tools and empirical methodologies for evaluating contemporary issues in empirical finance research. It involves the recent literature in correlation with the empirical corporate finance, investments, asset pricing within a logical, and analytical structure. The students in this course unit study agency theory, governance via institutional trading, independent boards, concentrated institutional ownership, and gain of bidders from takeovers.

Students have to apply statistical analysis, problem solving and critical thinking for testing the validity of findings in empirical finance. They must gain effective knowledge related to the econometric technologies in Empirical Techniques and Applications in Finance to undertake the individual cooperative projects and laboratory work.

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List of Institutes in Australia Offering Qualifications Related to Empirical Methods in Finance

• University of South Australia
• University of Queensland
• University of New South Wales
• University of Technology, Sydney
• Deakin University
• University of Western Australia
• University of Wollongong
• Queensland University of Technology
• University of Melbourne
• RMIT University

The aforementioned universities or institutes in Australia are renowned for their quality of teaching and research and theyoffer distinct inter-related degree courses. If you are studying in any of these universities, then it is very important to follow all marking rubrics and meet deadlines while composing any assessment tasks.

Topics Related to Empirical Methods in Finance

The unit of empirical methods in finance comprises the study of the following topics:

• Analysis of financial and business data
• Transforming and presentation of financial data: charts, tables, graphs, ratios, use of percentage changes, construction and usage of index numbers
• Methodological issues in relevance to data analysis in business and finance
• Using real versus nominal values in case of financial analysis
• Empirical research reports
• Descriptive and summary reports in finance
• Summary measures for data including construction, use and limitations
• Linear regression including bivariate model, applications, and measures of fit;
• Applications of multiple regression in case of financial research and analysis;
• Hypothesis testing
• Normal and t-distributions in regression
• Dummy variables and using lagged variables in regression
• Specification problems including multi-collinearity, heteroscedasticity, and autocorrelation
• Long term relationships in finance including integration and co-integration of a time series, and long-term relationships between time series, and testing of unit roots.

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Learning Outcomes

After completing the course unit successfully, students will become capable in:

• Depicting knowledge of asset pricing and corporate finance discussions occurring around the world.
• Handling large datasets and deriving usual financial measurements
• Explaining the major theories in correlation with corporate governance, and providing solutions to help in resolving conflicts between distinct stakeholders within the organisation.
• Analysing and modelling empirically the finance and investment choices that households and firms make and evaluate the influence of such decisions on key stakeholders.
• Evaluating, summarising and discussing the research findings and contributions of top journals in empirical finance.
• Developing econometric models utilising a statistical package (i.e. STATA) for testing hypotheses and theories.

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