The course covers financial system and financial markets, investment environment, asset classes and financial instruments, money markets, capital markets, equity markets, debt markets, international financial markets, how securities are traded, mutual funds, asset risk and returns, basic security valuation, portfolio theory and management, asset pricing models, and investment concepts and planning.

This course covers various business and finance ethics, for example, the CFA Institute Code of Ethics and Standards of Professional Conduct for investment professionals, the GARP (Global Association of Risk Professionals) Code of Conduct, and code of ethics for financial planners.

This course covers the determination of gross domestic product, an analysis of interest rate and inflation rate, and the role of fiscal and monetary policy. Furthermore, this course will extend to international economy. This course will also cover the theory of consumer choice, estimation and forecasting demand, theory of production and cost, market structure, game theory, pricing theory, theory of demand and supply of factor market, and decision-making under risk and uncertainty.

The objective of this course is to provide students with an introductory survey of many applications of descriptive and inferential statistics. Specifically, the students will be taught the fundamentals of statistical probabilities and distributions, random sampling, one-sample hypothesis testing and confidence intervals, simple and multiple linear regression, correlation analysis, analysis of variance and chi-square applications. The statistical analyses will be conducted primarily using Microsoft Excel, so students should have some familiarity with Excel.

The objective of this course is to provide students with the application of statistical and mathematical techniques to solve problems in finance. Topics included are time series versus cross-sectional data, cross-sectional versus panel data, univariate time series modeling and forecasting, a white noise process, tests of non-nested hypotheses, Wold’s decomposition theorem, the moments of an autoregressive process, and statistical versus economic or financial loss functions. In addition, the course covers selected topics in quantitative financial market analysis.

This course covers an introduction to the different types of derivatives: futures, forwards, swaps and options, and the theoretical and working knowledge of derivatives analysis using mathematics as well as numerical examples in order to improve understanding in derivatives. Furthermore, this course covers the concept of risk management, the concept of trading and hedging strategies using derivatives, and the application of derivatives in risk management.

This course covers types of securities, sources and types of information used in investment analysis, methods and principles of investment decisions, and basic principles and methods of securities and portfolio management of both personal and institutional investment.

This course covers essential topics in financial and risk analysis which are crucial for risk analysts and risk managers. The topics include financial markets, financial products, quantitative analysis, valuation, measuring and managing risk, and investment management. The course aims to prepare students for Financial Risk Manager (FRM®) exam.

This course covers major topics that are essentials for financial advisors such as investment planning, risk and insurance planning, tax planning, income and retirement planning, and estate planning as well as education planning. It aims to help students prepare for CFP® exam.

This course covers both theoretical and conceptual tools used in investment banking, financial statement analysis, corporate valuation, equity and fixed-income underwriting business, asset securitizations, mergers and acquisitions (M&A), Leverage buyouts (LBOs), corporate restructuring, and legal and ethical and governance issues in investment banking businesses.

The course covers financial times series and their characteristics, asset prices and returns, market efficiency, the predictability of asset returns, high-frequency data analysis and market microstructure, event-study analysis, tests of asset pricing models, and portfolio study.

The main purpose of this course is to provide a basic knowledge for implementing common financial models in Excel. This course covers standard financial models in the areas of corporate finance models, portfolio management models, options pricing models, fixed income management models. In this course, the students will be provided clear and concise explanations for the implementation of the various financial models using Excel.

This course covers financial economic theory and modeling techniques as an integral part of mathematical risk management. The topics include mathematical models used for risk management and financial derivatives, the arbitrage-free principle, single-period and multi-period valuation models, valuations of exchange-traded options, application to valuation of uncertain, complete and incomplete, cash flow streams, and applications to sophisticated management of risk and insurance products.

This course covers the application of the tools used to assess financial risk. The topics include quantitative analysis, fundamental risk management concepts, financial markets and products, and valuation and risk models through a deeper understanding into market, credit, operational and integrated risk management. Furthermore, this course covers investment management as well as current market issues.

The course covers theoretical foundations of market microstructure, various types of market structures, types of traders, behavior of informed traders, price discovery, liquidity and volatility, various transaction cost measures, and empirical evidence of market microstructure in Thai and other financial markets.

This course covers the international financial environment and the problems in the management of international finance. The topics include exchange rate systems, the international money market, sources of funds for exporters, importers and international investors, management of risk caused by changes in foreign exchange rates, and management of assets, liabilities and capital structures.

This course covers the development of financial theories with emphasis on making investment decisions under risk conditions, and the development of theories on cost of capital including various models used in making financial management decisions.

This course covers problems in business finance, problems in financial management, investment planning, sources of funds, and dividends. The course will focus on the application of theories and financial techniques in problem-solving using case studies.

The topics in this course covers standard finance versus behavioral finance, utility theory, market efficiency, anomalies, limits to arbitrage, prospect theory, mental accounting, psychological biases, cognitive biases, heuristics, value versus growth investing, and momentum investing.