IDEAS home Printed from https://ideas.repec.org/f/pwa1065.html
   My authors  Follow this author

Tianyang Wang

Personal Details

First Name:Tianyang
Middle Name:
Last Name:Wang
Suffix:
RePEc Short-ID:pwa1065
https://biz.colostate.edu/about/directory/colostate-wangt

Affiliation

Department of Finance and Real Estate
Colorado State University

Fort Collins, Colorado (United States)
http://www.biz.colostate.edu/financeRealEstate/
RePEc:edi:dfcsuus (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Tianyang Wang & Robert G. Schwebach & Sriram V. Villupuram, 2022. "Reference point formation: Does the market whisper in the background?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(2), pages 384-421, June.
  2. Haiying Wang & Ying Yuan & Tianyang Wang, 2021. "The dynamics of cross‐boundary fire—Financial contagion between the oil and stock markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1655-1673, October.
  3. Seiji Harikae & James S. Dyer & Tianyang Wang, 2021. "Valuing Real Options in the Volatile Real World," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 171-189, January.
  4. Yong Ma & Dongtao Pan & Tianyang Wang, 2020. "Exchange options under clustered jump dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 20(6), pages 949-967, June.
  5. Qu, Hui & Wang, Tianyang & Zhang, Yi & Sun, Pengfei, 2019. "Dynamic hedging using the realized minimum-variance hedge ratio approach – Examination of the CSI 300 index futures," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
  6. Hong Miao & Sanjay Ramchander & Tianyang Wang & Jian Yang, 2018. "The impact of crude oil inventory announcements on prices: Evidence from derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 38-65, January.
  7. Jing Ai & Vickie Bajtelsmit & Tianyang Wang, 2018. "The Combined Effect of Enterprise Risk Management and Diversification on Property and Casualty Insurer Performance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 85(2), pages 513-543, June.
  8. Miao, Hong & Ramchander, Sanjay & Ryan, Patricia & Wang, Tianyang, 2018. "Default prediction models: The role of forward-looking measures of returns and volatility," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 146-162.
  9. Jing Ai & Patrick L. Brockett & Tianyang Wang, 2017. "Optimal Enterprise Risk Management and Decision Making With Shared and Dependent Risks," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1127-1169, December.
  10. Miao, Hong & Ramchander, Sanjay & Wang, Tianyang & Yang, Dongxiao, 2017. "Influential factors in crude oil price forecasting," Energy Economics, Elsevier, vol. 68(C), pages 77-88.
  11. Tianyang Wang & James S. Dyer & Warren J. Hahn, 2017. "Sensitivity analysis of decision making under dependent uncertainties using copulas," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 117-139, November.
  12. Miao, Hong & Ramchander, Sanjay & Wang, Tianyang & Yang, Dongxiao, 2017. "Role of index futures on China's stock markets: Evidence from price discovery and volatility spillover," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 13-26.
  13. Tianyang Wang & James S. Dyer & John C. Butler, 2016. "Modeling Correlated Discrete Uncertainties in Event Trees with Copulas," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 396-410, February.
  14. Chatrath, Arjun & Miao, Hong & Ramchander, Sanjay & Wang, Tianyang, 2016. "An examination of the flow characteristics of crude oil: Evidence from risk-neutral moments," Energy Economics, Elsevier, vol. 54(C), pages 213-223.
  15. Vickie L. Bajtelsmit & Sriram V. Villupuram & Tianyang Wang, 2015. "Life Insurer Cost of Equity with Asymmetric Risk Factors," The Financial Review, Eastern Finance Association, vol. 50(3), pages 435-457, August.
  16. Arjun Chatrath & Hong Miao & Sanjay Ramchander & Tianyang Wang, 2015. "The Forecasting Efficacy of Risk‐Neutral Moments for Crude Oil Volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(3), pages 177-190, April.
  17. Tianyang Wang & James Dyer & Warren Hahn, 2015. "A copula-based approach for generating lattices," Review of Derivatives Research, Springer, vol. 18(3), pages 263-289, October.
  18. Hong Miao & Sanjay Ramchander & Tianyang Wang, 2014. "The Response of Bond Prices to Insurer Ratings Changes," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(2), pages 389-413, April.
  19. Tianyang Wang & James S. Dyer, 2012. "A Copulas-Based Approach to Modeling Dependence in Decision Trees," Operations Research, INFORMS, vol. 60(1), pages 225-242, February.
  20. Tianyang Wang & James S. Dyer, 2010. "Valuing Multifactor Real Options Using an Implied Binomial Tree," Decision Analysis, INFORMS, vol. 7(2), pages 185-195, June.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Tianyang Wang should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.