Portfolio and Security Analysis Commons^™

Portfolio Optimization Analysis In The Family Of 4/2 Stochastic Volatility Models, Yuyang Cheng

Electronic Thesis and Dissertation Repository

Over the last two decades, trading of financial derivatives has increased significantly along with richer and more complex behaviour/traits on the underlying assets. The need for more advanced models to capture traits and behaviour of risky assets is crucial. In this spirit, the state-of-the-art 4/2 stochastic volatility model was recently proposed by Grasselli in 2017 and has gained great attention ever since. The 4/2 model is a superposition of a Heston (1/2) component and a 3/2 component, which is shown to be able to eliminate the limitations of these two individual models, bringing the best out of each other. Based …

Application Of Stochastic Control To Portfolio Optimization And Energy Finance, Junhe Chen

Electronic Thesis and Dissertation Repository

In this thesis, we study two continuous-time optimal control problems. The first describes competition in the energy market and the second aims at robust portfolio decisions for commodity markets. Both problems are approached via solutions of Hamilton-Jacobi-Bellman (HJB) and HJB-Isaacs (HJBI) equations.

In the energy market problem, our target is to maximize profits from trading crude oil by determining optimal crude oil production. We determine the optimal crude oil production rate by constructing a differential game between two types of players: a single finite-reserve producer and multiple infinite-reserve producers. We extend the deterministic unbounded-production model and stochastic monopolistic game to …

Analyst Talent, Information, And Investment Strategies, Zhichuan Li, Stephen R. Foerster, Zhenyang Tang, Chongyu Dang

Business Publications

Analyst talent, rather than the number of analysts following a firm, matters most to investors. We find: 1) Analysts with greater “natural” forecasting talent—controlling for experience, brokerage affiliation, and task complexity—contribute relatively more firm-specific rather than industry or market information; 2) Earnings forecasts by low-talent analysts may lead to substantial mispricing; 3) When earnings surprises are large, post-earnings-announcement drift is more prominent among firms covered by low-talent analysts; 4) Firms with low-talent analysts have significantly more insider trading prior to positive earnings news; and 5) Investing following insider trading is more profitable in stocks followed by low-talent analysts.

Drivers Of Research Impact: Evidence From The Top Three Finance Journals, Zhichuan Li, Chongyu Dang

Business Publications

We study the characteristics of all published papers in the top three finance journals (JF, JFE, and RFS) and how these paper characteristics affect the number of citations in Google Scholar and the Web of Science database. First, we find the characteristics in the universalist perspective remain constant while the characteristics in the constructivist and presentation perspectives increase over time. Second, some characteristics are significantly different between the high impact and the low impact papers. Third, paper quality, research method, journal placement, and paper age are the most important drivers. Last, different drivers play different roles in different journals.

Generalized 4/2 Factor Model, Yuyang Cheng

Electronic Thesis and Dissertation Repository

We investigate portfolio optimization, risk management, and derivative pricing for a factor stochastic model that considers the 4/2 stochastic volatility on the common/systematic factor as well as on the intrinsic factor. This setting allows us to capture stochastic volatility and stochastic covariation among assets. The model is also a generalization of existing models in the literature as it includes the mean reverting property and spillover effect to capture wider types of financial assets. At a theoretical level we identify conditions for well-defined changes of measure. A quasi-closed form solution within a 4/2 structured model is obtained for a portfolio optimization …

A Learning Curve Of The Market: Chasing Alpha Of Socially Responsible Firms, Zhichuan Li, Jun Wang, Dylan Minor, Chongyu Dang

Business Publications

This paper explores stock market reactions to corporate social performance. We find that a value-weighted portfolio based on the list of “100 Best CSR companies in the world”, published by Reputation Institute, yields statistically significant annual abnormal returns of 1.63% and 1.26%, by controlling for Carhart four factors and Fama-French five factors, respectively (2.39% and 1.84% respectively for an equal-weighted portfolio). Moreover, such abnormal returns decrease as time goes, especially after the inaugural publication of the CSR lists in 2013. The paper also indicates that companies with better social performance are more likely to have positive earnings surprises, and that …

Approximate Methods For Dynamic Portfolio Allocation Under Transaction Costs, Nabeel Butt

Electronic Thesis and Dissertation Repository

The thesis provides robust and efficient lattice based algorithms for solving dynamic portfolio allocation problems under transaction costs. The early part of the thesis concentrates upon developing a toolbox based on multinomial trees. The multinomial trees are shown to provide a reasonable approximation for most popular transaction cost models in the academic literature. The tool, once forged, is implemented in the powerful Mathematica based parallel computing environment. In the second part of the thesis we provide applications of our framework to real world problems. We show re-balancing portfolios is more valuable in an investment environment where the growth and volatility …