CHENG, Ziteng - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Spring 2025-26 Winter 2025-26 Fall 2024-25 Summer
2025-26 Spring
Common Core Course
The class information on this page will normally be updated every 15 to 20 minutes during class enrollment period.
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This service was first adapted from a student contribution in 2011-12 Fall. The efforts of all concerned are duly acknowledged.

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COURSE INFO

VECTOR	[3-0-0:3]
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.

VECTOR

[3-0-0:3]

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.

FTEC 5220 - Monte Carlo Simulation in Finance (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6084)	Mo 01:30PM - 04:20PM	Rm 101, W2	CHENG, Ziteng	20	0	20	0

COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	This course provides an overview of methods used in the rapidly evolving field of robo-advising, focusing on customized portfolio optimization. It aims to introduce the theory of portfolio management and popular techniques in automated trading. The course also explores the nascent field of understanding client risk preference in robo-advising. These techniques combine to offer the basis for developing a robo-advisory system.

VECTOR

[3-0-0:3]

DESCRIPTION

This course provides an overview of methods used in the rapidly evolving field of robo-advising, focusing on customized portfolio optimization. It aims to introduce the theory of portfolio management and popular techniques in automated trading. The course also explores the nascent field of understanding client risk preference in robo-advising. These techniques combine to offer the basis for developing a robo-advisory system.

FTEC 6910G - Robo-Advising and Portfolio Management (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6086)	Fr 01:30PM - 04:20PM	Rm 201, E4	CHENG, Ziteng	20	0	20	0