FIDA6121 

This module is designed to equip students with the insights and analytic techniques to critically analyze and interpret corporate financial reports and associated information from user’s perspective in order to assess the “economic reality” of firms’ financial status, operational results, risks and equity value. This module will also provide students with an overview of business ethics and ethical management practices, with emphasis on the ethical responsibilities required of CFA Institute members. It is intended to demonstrate to the students how ethics can be integrated into business decisions and can be applied to their own careers.

3

45 hrs

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FIDA6122 

This module will systematically examine the fundamental theories of finance, techniques of asset valuation and its applications at the corporate level. Topics covered include the concept of present value, the opportunity cost of capital, valuation of cash-flow streams, bonds, and stocks, relationships between risk and return, capital asset pricing model, capital budgeting, corporate capital structure and dividend policy, etc.

3

45 hrs

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FIDA6123 

This module introduces the fundamental principles of investment analysis and the theories and techniques of portfolio management and covers the major issues currently of interest to investors. The first part covers investment environment, risk and return trade-off, portfolio diversification, modern portfolio theory, and market efficiency. The second part covers basic analytical tools used in analyzing fixed income securities including interest rates and yield curve mathematics, duration and convexity. Portfolio performance evaluation is also covered.

3

45 hrs

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FIDA6124 

Big data analytics is the process of examining large and complex data to uncover information that can inform better business decisions. Analysing big data requires a variety of approaches, including techniques such as predictive analytics, machine learning, and statistical algorithms. The primary purpose of this module is to provide students with an understanding of the data analytics approach in finance. The first part of this module introduces the basics of a popular programming language in data analytics such as Python and its important packages for data analytics. Another more popular programming language instead of Python may be used. The second part will concentrate on the data analytics and data visualization techniques for financial applications. Topics covered may include financial time series analysis, Stochastic modelling, and derivatives analytics.

3

45 hrs

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FIDA6125 

This module provides students with advanced knowledge in big data analytics in the finance domain. It will highlight how big data analytics is shaping the way financial practices are being done. The module starts with an introduction to advanced concepts in data analytics such as data clustering, multi-factor models, neural networks, machine learning, and deep learning. The second part of the module allows students to apply the knowledge acquired to investigate in a few real-life financial problems.

3

45 hrs

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FIDA6298 

This module aims to develop candidates' ability to integrate what they have learned from all the taught modules and related independent studies to further their capacities and skills in finance and data analytics by completing an original academic or applied report in the area of finance. The project report is a student-driven learning opportunity and will be done under the guidance of one or more supervisors. The credits are gained after passing the written report review and oral defense.

6

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hrs

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FIDA6101 

This module studies the functions, pricing, and institutional structures of financial markets. Topics include determinants of interest rates, interest rates and securities valuation, securities markets such as money markets, bond markets, foreign exchange markets, commercial banks, other financial institutions such as insurance companies, securities firms, investment companies, and risk management in financial institutions.

3

45 hrs

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FIDA6102 

This module introduces (1) the structure and operation of derivative markets (options, forward contracts, futures, swaps, and other derivatives) and the fundamental concepts of these derivative securities, (2) the necessary skills used in valuing derivatives, (3) the hedging of derivatives, and (4) applications of derivatives in the areas of risk management, portfolio insurance, and financial engineering.

3

45 hrs

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FIDA6103 

There is an abundance of evidence suggesting that the efficient market hypothesis does not adequately describe behavior in financial markets. This module surveys the evidence and uses psychology to guide alternative theories of financial markets. Other topics covered include the standard argument that smart, profit-seeing agents can correct any distortions caused by irrational investors, the preferences and trading decisions of individual investors, and implications to corporate decision making.

3

45 hrs

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FIDA6104 

This module examines how corporations respond to ethical dilemmas whilst considering the needs of their various stakeholders within the context of government regulations. This elective module focuses on the broad content areas of publicly listed for-profit corporate governance and CSR. Topics include: international corporate governance, board structures, risk management, succession planning, financial reporting and external audit, governance ratings, and alternative corporate governance structures, including family-controlled businesses, non-profits, private equity, and venture capital.

3

45 hrs

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FIDA6105 

This module introduces applied statistics and econometrics primarily in the context of finance and economics. It covers the classical linear regression model, univariate time-series modelling and forecasting, multivariate models, modelling long-run relationships in finance, modelling volatility and correlation and panel data, etc. Programming languages, such as Python or R, may facilitate the learning process.

3

45 hrs

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FIDA6106 

This module introduces this fast-growing and exciting intersection between finance (Fin) and technology (Tech) while emphasizing the role data and analytics play. Fintech innovations such as chatbots, robo-advisors, fraud detection, blockchain, smart contracts, digital currencies (cryptocurrencies), quantitative trading, insurance technology (InsurTech), e-payment, electronic initial public offering (IPO) and cybersecurity are examined. The marketplaces, the incumbents and the impacts of the most relevant technologies have on the business are also examined.

3

45 hrs

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FIDA6107 

This module provides the foundation in microeconomics, macroeconomics and international economics that is essential in financial analysis. The major topics includes market forces of supply and demand, competition and market structure, the role of government in the economy, national income accounting, business cycles, aggregate demand/supply, fiscal and monetary policies, economic growth and development, comparative advantages and international trade, international finance and foreign exchange markets.

3

45 hrs

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