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  4. Trading Strategies and Portfolio Optimization in the Presence of Asset Price Bubbles

Trading Strategies and Portfolio Optimization in the Presence of Asset Price Bubbles

File(s)
Liu_cornellgrad_0058F_14095.pdf (650.82 KB)
Permanent Link(s)
http://doi.org/10.7298/9ekb-a415
https://hdl.handle.net/1813/115716
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Cornell Theses and Dissertations
Author
Liu, Yuxuan
Abstract

In this work, we aim to provide mathematical characterizations of effect of the existence of asset price bubbles to the financial market from various perspective, leveraging the arbitrage pricing framework and mathematical theory of financial bubbles. We analyze bubble's effect to several sets of trading strategies, including both widely employed practical strategies and those proven to replicate or super-replicate the risky asset's payoffs over the model's horizon. Additionally, we delve into the portfolio optimization problem in the presence of asset price bubbles in multiple facets. A comparative analysis of optimal portfolios is conducted in diverse settings, including complete and incomplete markets, and with or without trading constraints. Finally, we introduce a novel approach for simulating sophisticated stochastic processes that is free from space discretization. This chapter serves as a foundational framework for conducting advanced numerical and empirical research on challenges related to sophisticated stochastic dynamics. The scope of this research extends beyond, but is not confined to, the simulation of asset price bubbles.

Description
125 pages
Date Issued
2023-12
Committee Chair
Jarrow, Robert
Committee Member
Minca, Andreea
Patie, Pierre
Ruppert, David
Degree Discipline
Operations Research and Information Engineering
Degree Name
Ph. D., Operations Research and Information Engineering
Degree Level
Doctor of Philosophy
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/16454684

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