VECTOR | [3-0-0:3] |
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DESCRIPTION | This course will survey modern financial technology, through the lens of statistics, which is the science of the analysis of data. Students will learn how statistical methodology, in conjunction with advances in technology, is used to efficiently acquire, utilize and interpret data, as it relates to innovations in the financial services sector. This course will develop skillsets for Big Data analytics and Predictive modelling, for better understanding of the financial markets. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6078) | Tu 01:30PM - 04:20PM | Rm 201, E1 | ZHANG, Guang | 40 | 14 | 26 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | The objective of this course is to provide students with an extensive exposure to important research in financial technology and a rigorous training in related research methodologies. Main topics include cryptocurrencies, blockchain, P2P lending, crowdfunding, robo-advisors, regulatory technology (RegTech), and insurance technology (InsurTech). This course also enables students to gain an appreciation for how research in financial technologies improves traditional financial services and overcomes various difficulties inherent in the current financial system. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6079) | 22-JAN-2024 - 31-MAR-2024 We 09:00AM - 11:50AM | Rm 148, E1 | CAI, Ning | 60 | 25 | 35 | 0 | |
01-APR-2024 - 07-APR-2024 We 09:00AM - 11:50AM | Rm 101, W4 | CAI, Ning | ||||||
08-APR-2024 - 10-MAY-2024 We 09:00AM - 11:50AM | Rm 202, E3 | CAI, Ning |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course introduces the main issues in corporate finance, identifies principal theoretical tools and empirical approaches, and fosters thinking about current research questions. The theoretical part includes classic theories such as ModiglianiāMiller theorem, Coase theorem, and Fisher separation theorem, with a focus on financing decisions of firms, corporate governance, and their implications. The empirical part reviews econometric methods commonly used in corporate finance research and covers selected topics. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6080) | Tu 09:00AM - 11:50AM | Rm 150, E1 | ZHANG, Leifu | 40 | 16 | 24 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course addresses issues in both theoretical development and empirical studies of asset pricing. The theoretical part covers portfolio theory, arbitrage pricing theory with large numbers of assets, the intertemporal asset pricing model and the production-based asset pricing model. Topics related to derivative pricing are also covered. The empirical part covers asset return predictability, volatility-return relationship, asset pricing testing methodology, popular factor models used by practitioners and empirical findings in derivative markets. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6081) | We 01:30PM - 04:20PM | Rm 149, E1 | KWOK, YUE KUEN | 40 | 14 | 26 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course provides an introduction to textual analysis in social science research. It covers text mining models and related statistical tools, including Dictionary Method, SVD, Word2Vec, WEAT, Probabilistic Modeling, Regression Modeling, and Large Language Models in modern social science research. Applications related to the financial market are emphasized, including macro-finance, empirical asset pricing, empirical corporate finance, and ESG. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6217) | Fr 03:00PM - 05:50PM | Rm 233, W1 | ZHANG, Yi | 40 | 15 | 25 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course covers basic pricing theory of financial derivatives and risk hedging of exotic options. The course starts with the fundamental theorem of asset pricing and risk neutral valuation principle. The renowned Black-Scholes pricing theory and martingale pricing theory are introduced. Advanced topics include exchange options, quanto options, implied volatility and VIX. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6225) | Mo 01:30PM - 04:20PM | Rm 233, W1 | HAN, Bingyan | 40 | 5 | 35 | 0 | The instructor is Prof HAN, Bingyan. |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course covers Monte Carol simulation methods from the perspectives of derivatives pricing, credit risk modeling and trading strategies. The first topic starts with various sampling methods for generating random variables, like the basic inverse transform method and acceptance-rejection method. Special emphasis is placed on simulation of normal distributions. Next, we consider pricing financial derivatives via simulation. The dynamic price processes include the Geometric Brownian motion and jump diffusion models. Various variance reduction techniques, like the antithetic variate, control variate, conditioning and stratified sampling are considered. The solution of the optimal stopping model of an American option via the Longstaff-Schwartz regression method is discussed. We also consider rare event simulation via various importance sampling methods, like the mean drift method and cross entropy method. Applications in risk measures calculation in credit risk models, like the Gaussian copula models, are considered. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6226) | Th 10:30AM - 01:20PM | Rm 150, E1 | KWOK, YUE KUEN | 40 | 6 | 34 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course introduces various novel types of financial instruments enabled by blockchains, collectively known as Decentralized Finance (DeFi). Students will delve into key DeFi elements, gaining both theoretical knowledge and practical skills to effectively navigate and engage with DeFi platforms and protocols. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6227) | Fr 12:00PM - 02:50PM | Rm 149, E1 | WANG, Xuechao | 40 | 9 | 31 | 0 |
VECTOR | [0-1-0:0] |
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DESCRIPTION | Advanced seminar series presented by guest speakers and faculty members on selected topics in Financial Technology. This course is offered every regular term. Graded P or F. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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T01 (6188) | Fr 09:00AM - 10:20AM | Rm 134, E1 | ZUO, Ruiting | 70 | 45 | 25 | 0 |
DESCRIPTION | Master's thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
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Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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R01 (6082) | TBA | TBA | TBA | 40 | 23 | 17 | 0 |
DESCRIPTION | Original and independent doctoral thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
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Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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R01 (6083) | TBA | TBA | TBA | 40 | 1 | 39 | 0 |