Tianyang Wang (Tian) is an associate professor in the Department of Finance and Real Estate at Colorado State University.

Tian earned his Ph.D. from the University of Texas at Austin following Professor Jim Dyer, and his Master in Finance from Nankai University following Professor Xiufang Li. He is a Chartered Financial Analyst (CFA), a Financial Risk Manager (FRM) — Certified by the Global Association of Risk Professionals, and an Associate of the Society of Actuaries (ASA).

Tian's research is primarily in financial risk management, empirical asset pricing, commodity market risks, multivariate real options valuation and enterprise risk management. Times series analysis, multivariate copulas, option pricing theory, high dimensional simulation, optimization, and dynamic programming are the main techniques that he has used in his research.

Tian’s research spans both theoretical developments and empirical applications. His main theoretical contributions to the finance literature include the copulas-based multivariate dependency models in risk management; the universal copula-based lattices for option pricing; the implied binomial tree model for real options valuation; the integrated optimization framework for optimal Enterprise Risk Management (ERM); and the multi-period robust model for portfolio allocation. He also contributes to the empirical finance area by studying the response of bond prices to insurer ratings changes; the impact of downside risk on cost of equity for insurers; the combination effects of diversification and Enterprise Risk Management (ERM); the predictive power of crude oil implied volatility from the options market; the examination of the flow characteristics of crude oil; and the impacts of the Weekly Petroleum Status report from Energy Information Administration (EIA) to crude oil futures and option markets.

Tian’s research work has been published in academic journals such as Operations Research, Journal of Risk and Insurance, Journal of Futures Markets, The Financial Review, Pacific Basin Finance Journal, Energy Economics, Journal of Forecasting, Geneva Papers, Review of Derivatives Research, Risk Analysis, Decision Analysis, and Expert Systems with Applications. He is very grateful for being awarded various grants and honors including the Enterprise Research Program Grant, Dean’s Scholars and several best paper competitions.

Tian truly loves teaching and sincerely cares about our students. He finds teaching to be a challenging, inspirational and rewarding experience. In his classes, Tian creates a stimulating learning environment; provides our students the combination of a broad and rigorous finance knowledge base and quantitative tools to help them succeed in their future career; and connects financial topics with interesting business stories to facilitate the students’ learning experience. Tian is very grateful for being the recipient of the prestigious Fred Moore Teaching Excellence Award at the University of Texas at Austin, and listed as Beta Gamma Sigma Most Influential Professor as well as faculty member for positive impact on students’ experience at Colorado State University.