John Yiran Zhu

John Yiran Zhu
  • Assistant Professor of Finance

Contact Information

  • office Address:

    The Finance Department
    2431 SH-DH
    Philadelphia, PA 19104

Research Interests: contracts, corporate finance, game theory, probability

Links: Personal Website

Teaching

Past Courses

  • FNCE235 - FIXED INCOME SECURITIES

    This course covers fixed income securities (including fixed income derivatives) and provides an introduction to the markets in which they are traded, as well as to the tools that are used to value these securities and to assess and manage their risk. Quantitative models play a key role in the valuation and risk management of these securities. As a result, although every effort will be made to introduce the various pricing models and techniques as intuitively as possible and the technical requirements are limited to basic calculus and statistics, the class is by its nature quantitative and will require a steady amount of work. In addition, some computer proficiency will be required for the assignments, although familiarity with a spreadsheet program (such as Microsoft Excel) will suffice.

  • FNCE725 - FIXED INCOME SECURITIES

    This course covers fixed income securities (including fixed income derivatives) and provides an introduction to the markets in which they are traded, as well as to the tools that are used to value these securities and to assess and manage their risk. Quantitative models play a key role in the valuation and risk management of these securities. As a result, although every effort will be made to introduce the various pricing models and techniques as intuitively as possible and the technical requirements are limited to basic calculus and statistics, the class is by its nature quantitative and will require a steady amount of work. In addition, some computer proficiency will be required for the assignments, although familiarity with a spreadsheet program (such as Microsoft Excel) will suffice.

  • FNCE928 - METHODS IN FNCE THEORY

    This doctoral level course introduces students to game theory and continuous-time methods. Both techniques represent fundamental approaches to organizing, modeling and understanding complex financial phenomena. The game theory half will cover equilibrium concepts, moral hazard, signaling and screening. Highlights include rigorous formulations and analyses of the perfect Bayesian equilibrium concept and the principal-agent relationship. Both ideas are central to theories of corporate finance and financial markets - subjects that the students will be exposed to in the spring. The continuous-time methods half will cover basic stochastic calculus and applications to capital structure, Merton's consumption-portfolio, and problem and optimal contracts.

Knowledge@Wharton

Cutting a Path for Diversity

A PwC executive explains how she pioneered gains on the diversity front and how “the best companies to work for have a strong commitment to diversity."

Knowledge @ Wharton - 2019/04/22
Want to Build a Smart City? Here Are Some Strategies That Work

Collaborative platforms, sustainability, public-private partnerships and data analytics are critical for developing smart and inclusive cities, notes TCS’s Seeta Hariharan.

Knowledge @ Wharton - 2019/04/19
Beyond the Clicks: Getting the Most out of Big Data

Recent Wharton research aims to help companies navigate the complicated waters of Big Data by offering a better way to use predictive analytics.

Knowledge @ Wharton - 2019/04/19