[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/f/pwa481.html
   My authors  Follow this author

Zhiguang Wang

Personal Details

First Name:Zhiguang
Middle Name:
Last Name:Wang
Suffix:
RePEc Short-ID:pwa481
[This author has chosen not to make the email address public]
https://www.sdstate.edu/ness-school-management-and-economics/zhiguang-gerald-wang

Affiliation

Ness School of Management and Economics
South Dakota State University

Brookings, South Dakota (United States)
https://www.sdstate.edu/ness-school-management-and-economics
RePEc:edi:edsdsus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Diersen, Matthew A. & Wang, Zhiguang, 2020. "Experiential Learning Trading Agricultural Contracts in a Commodity Fund," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304463, Agricultural and Applied Economics Association.
  2. Fausti, Scott W. & Wang, Zhiguang & Lange, Brent, 2013. "Expected Utility, Risk, and Market Behavior: Theory and Evidence from the Fed Cattle Market," SCC-76 Meeting, 2013, March 14-16, Pensacola, Florida 147660, SCC-76: Economics and Management of Risk in Agriculture and Natural Resources.
  3. Fausti, Scott W. & Wang, Zhiguang & Qasmi, Bashir A. & Diersen, Matthew A., 2012. "Risk and Marketing Behavior: Pricing Fed Cattle on a Grid," Economics Staff Papers 127898, South Dakota State University, Department of Economics.
  4. Wang, Zhiguang & Fausti, Scott W. & Qasmi, Bashir A., 2010. "Variance Risk Premiums and Predictive Power of Alternative Forward Variances in the Corn Market," Economics Staff Papers 61683, South Dakota State University, Department of Economics.

    repec:sda:ibrief:2009513 is not listed on IDEAS
    repec:sda:staffp:100001 is not listed on IDEAS
    repec:sda:staffp:120002 is not listed on IDEAS

Articles

  1. Diersen, Matthew A. & Wang, Zhiguang, 2022. "Trading Commodity Futures and Options in a Student-Managed Fund," Applied Economics Teaching Resources (AETR), Agricultural and Applied Economics Association, vol. 4(1), March.
  2. Nikita Medvedev & Zhiguang Wang, 2022. "Multistep forecast of the implied volatility surface using deep learning," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 645-667, April.
  3. Elliott, Lisa & Elliott, Matthew & Slaa, Chad Te & Wang, Zhiguang, 2020. "New generation grain contracts in corn and soybean commodity markets," Journal of Commodity Markets, Elsevier, vol. 20(C).
  4. Zhiguang Wang & Brice Dupoyet, 2019. "A dimension‐invariant cascade model for VIX futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1214-1227, October.
  5. Wu, Feng & Myers, Robert J. & Guan, Zhengfei & Wang, Zhiguang, 2015. "Risk-adjusted implied volatility and its performance in forecasting realized volatility in corn futures prices," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 260-274.
  6. Michael Osei & Zhiguang Wang, 2015. "Seasonality and Stochastic Volatility in Wheat Options," Journal of Economic Insight, Missouri Valley Economic Association, vol. 41(1), pages 1-20.
  7. Scott W. Fausti & Zhiguang Wang & Bashir A. Qasmi & Matthew A. Diersen, 2014. "Risk and marketing behavior: pricing fed cattle on a grid," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 601-612, September.
  8. Adam Schmitz & Zhiguang Wang & Jung‐Han Kimn, 2014. "A Jump Diffusion Model for Agricultural Commodities with Bayesian Analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(3), pages 235-260, March.
  9. Scott W. Fausti & Zhiguang Wang & Brent Lange, 2013. "Expected Utility, Risk, and Marketing Behavior: Theory and Evidence from the Fed Cattle Market," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 61(3), pages 371-395, September.
  10. Zhiguang Wang & Prasad Bidarkota, 2012. "Risk premia in forward foreign exchange rates: a comparison of signal extraction and regression methods," Empirical Economics, Springer, vol. 42(1), pages 21-51, February.
  11. Zhiguang Wang & Scott W. Fausti & Bashir A. Qasmi, 2012. "Variance risk premiums and predictive power of alternative forward variances in the corn market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(6), pages 587-608, June.
  12. Zhiguang Wang & Robert T. Daigler, 2011. "The performance of VIX option pricing models: Empirical evidence beyond simulation," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(3), pages 251-281, March.
  13. Zhiguang (Gerald) Wang & Prasad V. Bidarkota, 2010. "A Long-Run Risks Model of Asset Pricing with Fat Tails," Review of Finance, European Finance Association, vol. 14(3), pages 409-449.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Fausti, Scott W. & Wang, Zhiguang & Lange, Brent, 2013. "Expected Utility, Risk, and Market Behavior: Theory and Evidence from the Fed Cattle Market," SCC-76 Meeting, 2013, March 14-16, Pensacola, Florida 147660, SCC-76: Economics and Management of Risk in Agriculture and Natural Resources.

    Cited by:

    1. Bodo E. Steiner, 2017. "A phenomenon-driven approach to the study of value creation and organizational design issues in agri-business value chains," Economia agro-alimentare, FrancoAngeli Editore, vol. 19(1), pages 89-118.
    2. Fausti, Scott W. & Qasmi, Bashir A. & Diersen, Matthew A & Adamson, Bill, 2014. "Grid Valuation of Beef Carcass Quality: Market Power and Market Trends," Economics Staff Papers 171423, South Dakota State University, Department of Economics.

  2. Fausti, Scott W. & Wang, Zhiguang & Qasmi, Bashir A. & Diersen, Matthew A., 2012. "Risk and Marketing Behavior: Pricing Fed Cattle on a Grid," Economics Staff Papers 127898, South Dakota State University, Department of Economics.

    Cited by:

    1. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2016. "Using Genetic Testing to Improve Fed Cattle Marketing Decisions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    2. Fausti, Scott W. & Qasmi, Bashir A. & Diersen, Matthew A & Adamson, Bill, 2014. "Grid Valuation of Beef Carcass Quality: Market Power and Market Trends," Economics Staff Papers 171423, South Dakota State University, Department of Economics.
    3. Leslie J. Verteramo Chiu & Loren W. Tauer & Yrjo T. Gröhn, 2022. "Pricing efficiency in livestock auction markets: A two‐tier frontier approach," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 139-151, November.
    4. Fausti, Scott & Diersen, Matthew & Qasmi, Bashir & Adamson, Bill, 2015. "The Influence of Market Power and Market Trends on Grid Market Signals," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(1), pages 1-12.

  3. Wang, Zhiguang & Fausti, Scott W. & Qasmi, Bashir A., 2010. "Variance Risk Premiums and Predictive Power of Alternative Forward Variances in the Corn Market," Economics Staff Papers 61683, South Dakota State University, Department of Economics.

    Cited by:

    1. Bakas, Dimitrios & Triantafyllou, Athanasios, 2018. "The impact of uncertainty shocks on the volatility of commodity prices," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 96-111.
    2. Athanasios Triantafyllou & Dimitrios Bakas & Marilou Ioakimidis, 2019. "Commodity Price Uncertainty as a Leading Indicator of Economic Activity," Working Paper series 19-03, Rimini Centre for Economic Analysis.
    3. Andres Trujillo-Barrera & Philip Garcia & Mindy L Mallory, 2018. "Short-term price density forecasts in the lean hog futures market," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 121-142.
    4. Triantafyllou, Athanasios & Dotsis, George, 2017. "Option-implied expectations in commodity markets and monetary policy," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 1-17.
    5. Lyu, Yongjian & Tuo, Siwei & Wei, Yu & Yang, Mo, 2021. "Time-varying effects of global economic policy uncertainty shocks on crude oil price volatility：New evidence," Resources Policy, Elsevier, vol. 70(C).
    6. Athanasios Triantafyllou & George Dotsis & Alexandros Sarris, 2020. "Assessing the Vulnerability to Price Spikes in Agricultural Commodity Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 631-651, September.
    7. Yabei Zhu & Xingguo Luo & Qi Xu, 2023. "Industry variance risk premium, cross‐industry correlation, and expected returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(1), pages 3-32, January.
    8. Trujillo-Barrera, Andres & Mallory, Mindy L. & Garcia, Philip, 2012. "Volatility Spillovers in U.S. Crude Oil, Ethanol, and Corn Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-16, August.

Articles

  1. Nikita Medvedev & Zhiguang Wang, 2022. "Multistep forecast of the implied volatility surface using deep learning," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 645-667, April.

    Cited by:

    1. Sudarshan Kumar & Sobhesh Kumar Agarwalla & Jayanth R. Varma & Vineet Virmani, 2023. "Harvesting the volatility smile in a large emerging market: A Dynamic Nelson–Siegel approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1615-1644, November.
    2. Yao Wang & Jingmei Zhao & Qing Li & Xiangyu Wei, 2024. "Considering momentum spillover effects via graph neural network in option pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(6), pages 1069-1094, June.
    3. Jiahao Weng & Yan Xie, 2024. "Degree of Irrationality: Sentiment and Implied Volatility Surface," Papers 2405.11730, arXiv.org.
    4. Yan Hu & Jian Ni, 2024. "A deep learning‐based financial hedging approach for the effective management of commodity risks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(6), pages 879-900, June.

  2. Elliott, Lisa & Elliott, Matthew & Slaa, Chad Te & Wang, Zhiguang, 2020. "New generation grain contracts in corn and soybean commodity markets," Journal of Commodity Markets, Elsevier, vol. 20(C).

    Cited by:

    1. Dejan Živkov & Biljana Stankov & Nataša Papić-Blagojević & Jelena Damnjanović & Željko Račić, 2023. "How to reduce the extreme risk of losses in corn and soybean markets? Construction of a portfolio with European stock indices," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(3), pages 109-118.

  3. Wu, Feng & Myers, Robert J. & Guan, Zhengfei & Wang, Zhiguang, 2015. "Risk-adjusted implied volatility and its performance in forecasting realized volatility in corn futures prices," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 260-274.

    Cited by:

    1. Qiao, Gaoxiu & Teng, Yuxin & Li, Weiping & Liu, Wenwen, 2019. "Improving volatility forecasting based on Chinese volatility index information: Evidence from CSI 300 index and futures markets," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 133-151.
    2. Hardik A. Marfatia & Qiang Ji & Jiawen Luo, 2022. "Forecasting the volatility of agricultural commodity futures: The role of co‐volatility and oil volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 383-404, March.
    3. Feng, Jiabao & Wang, Yudong & Yin, Libo, 2017. "Oil volatility risk and stock market volatility predictability: Evidence from G7 countries," Energy Economics, Elsevier, vol. 68(C), pages 240-254.
    4. Anabelle Couleau & Teresa Serra & Philip Garcia, 2020. "Are Corn Futures Prices Getting “Jumpy”?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 569-588, March.

  4. Scott W. Fausti & Zhiguang Wang & Bashir A. Qasmi & Matthew A. Diersen, 2014. "Risk and marketing behavior: pricing fed cattle on a grid," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 601-612, September.
    See citations under working paper version above.
  5. Adam Schmitz & Zhiguang Wang & Jung‐Han Kimn, 2014. "A Jump Diffusion Model for Agricultural Commodities with Bayesian Analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(3), pages 235-260, March.

    Cited by:

    1. Özbekler, Ali Gencay & Kontonikas, Alexandros & Triantafyllou, Athanasios, 2020. "Volatility Forecasting in European Government Bond Markets," Essex Finance Centre Working Papers 27362, University of Essex, Essex Business School.
    2. Diewald, Laszlo & Prokopczuk, Marcel & Wese Simen, Chardin, 2015. "Time-variations in commodity price jumps," Journal of Empirical Finance, Elsevier, vol. 31(C), pages 72-84.
    3. Moreno, Manuel & Novales, Alfonso & Platania, Federico, 2019. "Long-term swings and seasonality in energy markets," European Journal of Operational Research, Elsevier, vol. 279(3), pages 1011-1023.
    4. Mengmeng Wang & Xue Fan, 2021. "An Empirical Study on How Livestreaming Can Contribute to the Sustainability of Green Agri-Food Entrepreneurial Firms," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    5. Jean Pierre Fernández Prada Saucedo & Gabriel Rodríguez, 2020. "Modeling the Volatility of Returns on Commodities: An Application and Empirical Comparison of GARCH and SV Models," Documentos de Trabajo / Working Papers 2020-484, Departamento de Economía - Pontificia Universidad Católica del Perú.
    6. Kam Fong Chan & Philip Gray, 2017. "Do Scheduled Macroeconomic Announcements Influence Energy Price Jumps?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(1), pages 71-89, January.
    7. Chih-Chen Hsu & An-Sing Chen & Shih-Kuei Lin & Ting-Fu Chen, 2017. "The affine styled-facts price dynamics for the natural gas: evidence from daily returns and option prices," Review of Quantitative Finance and Accounting, Springer, vol. 48(3), pages 819-848, April.
    8. Wu, Feng & Myers, Robert J. & Guan, Zhengfei & Wang, Zhiguang, 2015. "Risk-adjusted implied volatility and its performance in forecasting realized volatility in corn futures prices," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 260-274.
    9. Jang, H. & Lee, J., 2019. "Machine learning versus econometric jump models in predictability and domain adaptability of index options," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 74-86.

  6. Scott W. Fausti & Zhiguang Wang & Brent Lange, 2013. "Expected Utility, Risk, and Marketing Behavior: Theory and Evidence from the Fed Cattle Market," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 61(3), pages 371-395, September.

    Cited by:

    1. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2016. "Using Genetic Testing to Improve Fed Cattle Marketing Decisions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    2. Bodo E. Steiner, 2017. "A phenomenon-driven approach to the study of value creation and organizational design issues in agri-business value chains," Economia agro-alimentare, FrancoAngeli Editore, vol. 19(1), pages 89-118.
    3. Fausti, Scott W. & Qasmi, Bashir A. & Diersen, Matthew A & Adamson, Bill, 2014. "Grid Valuation of Beef Carcass Quality: Market Power and Market Trends," Economics Staff Papers 171423, South Dakota State University, Department of Economics.

  7. Zhiguang Wang & Prasad Bidarkota, 2012. "Risk premia in forward foreign exchange rates: a comparison of signal extraction and regression methods," Empirical Economics, Springer, vol. 42(1), pages 21-51, February.

    Cited by:

    1. Aziz Chouikh & Abdelwahed Trabelsi, 2014. "The Determinants of Risk Premia in Forward Foreign Exchange (FX) Markets," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(2), pages 19-28, April.

  8. Zhiguang Wang & Scott W. Fausti & Bashir A. Qasmi, 2012. "Variance risk premiums and predictive power of alternative forward variances in the corn market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(6), pages 587-608, June.
    See citations under working paper version above.
  9. Zhiguang Wang & Robert T. Daigler, 2011. "The performance of VIX option pricing models: Empirical evidence beyond simulation," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(3), pages 251-281, March.

    Cited by:

    1. Yoo, Eun Gyu & Yoon, Sun-Joong, 2020. "CBOE VIX and Jump-GARCH option pricing models," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 839-859.
    2. Barletta, Andrea & Santucci de Magistris, Paolo & Violante, Francesco, 2019. "A non-structural investigation of VIX risk neutral density," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 1-20.
    3. Javier Mencía & Enrique Sentana, 2012. "Valuation of vix derivatives," Working Papers 1232, Banco de España.
    4. Bujar Huskaj & Marcus Nossman, 2013. "A Term Structure Model for VIX Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(5), pages 421-442, May.
    5. Shi Yafeng & Yanlong Shi & Ying Tingting, 2024. "Can technical indicators based on underlying assets help to predict implied volatility index," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(1), pages 57-74, January.
    6. Sebastian A. Gehricke & Jin E. Zhang, 2020. "Modeling VXX under jump diffusion with stochastic long‐term mean," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1508-1534, October.
    7. Tim Leung & Jiao Li & Xin Li & Zheng Wang, 2016. "Speculative Futures Trading under Mean Reversion," Papers 1601.04210, arXiv.org.
    8. Huang, Hung-Hsi & Lin, Shin-Hung & Wang, Chiu-Ping, 2019. "Reasonable evaluation of VIX options for the Taiwan stock index," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 111-130.
    9. Markus Hertrich & Heinz Zimmermann, 2017. "On the Credibility of the Euro/Swiss Franc Floor: A Financial Market Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(2-3), pages 567-578, March.
    10. Hertrich Markus, 2016. "The Costs of Implementing a Unilateral One-Sided Exchange Rate Target Zone," Review of Economics, De Gruyter, vol. 67(1), pages 91-120, May.
    11. Markus Hertrich, 2015. "A Cautionary Note on the Put-Call Parity under an Asset Pricing Model with a Lower Reflecting Barrier," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 151(III), pages 227-260, September.
    12. Prasenjit Chakrabarti & Kiran Kumar Kotha, 2017. "Options Order Flow, Volatility Demand and Variance Risk Premium," Multinational Finance Journal, Multinational Finance Journal, vol. 21(2), pages 49-90, June.
    13. Cheng, Jun & Ibraimi, Meriton & Leippold, Markus & Zhang, Jin E., 2012. "A remark on Lin and Chang's paper ‘Consistent modeling of S&P 500 and VIX derivatives’," Journal of Economic Dynamics and Control, Elsevier, vol. 36(5), pages 708-715.
    14. Andrew Papanicolaou & Ronnie Sircar, 2014. "A regime-switching Heston model for VIX and S&P 500 implied volatilities," Quantitative Finance, Taylor & Francis Journals, vol. 14(10), pages 1811-1827, October.
    15. Gonzalez-Perez, Maria T., 2015. "Model-free volatility indexes in the financial literature: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 141-159.
    16. Venter, Pierre J & Maré, Eben, 2022. "Price discovery in the volatility index option market: A univariate GARCH approach," Finance Research Letters, Elsevier, vol. 44(C).
    17. Jiao Li, 2016. "Trading VIX Futures under Mean Reversion with Regime Switching," Papers 1605.07945, arXiv.org, revised Jun 2016.
    18. Lin, Yueh-Neng, 2013. "VIX option pricing and CBOE VIX Term Structure: A new methodology for volatility derivatives valuation," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4432-4446.
    19. Daniel Guterding, 2020. "Inventory effects on the price dynamics of VSTOXX futures quantified via machine learning," Papers 2002.08207, arXiv.org.
    20. Kozarski, R., 2013. "Pricing and hedging in the VIX derivative market," Other publications TiSEM 221fefe0-241e-4914-b6bd-c, Tilburg University, School of Economics and Management.
    21. Jiao Li, 2016. "Trading VIX futures under mean reversion with regime switching," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 1-20, September.
    22. Jing, Bo & Li, Shenghong & Ma, Yong, 2021. "Consistent pricing of VIX options with the Hawkes jump-diffusion model," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    23. Qiang Liu & Yuhan Jiao & Shuxin Guo, 2022. "GARCH pricing and hedging of VIX options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(6), pages 1039-1066, June.
    24. Andrea Barletta & Paolo Santucci de Magistris & Francesco Violante, 2016. "Retrieving Risk-Neutral Densities Embedded in VIX Options: a Non-Structural Approach," CREATES Research Papers 2016-20, Department of Economics and Business Economics, Aarhus University.
    25. Jun-Biao Lin, 2015. "Hedging Strategy Comparisons Of Volatility Index Options Using Diffusion Models," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(3), pages 59-69.
    26. Ma, Jingtang & Li, Wenyuan & Han, Xu, 2015. "Stochastic lattice models for valuation of volatility options," Economic Modelling, Elsevier, vol. 47(C), pages 93-104.
    27. Bao, Qunfang & Li, Shenghong & Gong, Donggeng, 2012. "Pricing VXX option with default risk and positive volatility skew," European Journal of Operational Research, Elsevier, vol. 223(1), pages 246-255.
    28. Bao, Qunfang, 2013. "Mean-Reverting Logarithmic Modeling of VIX," MPRA Paper 46413, University Library of Munich, Germany.
    29. Lo, Chien-Ling & Shih, Pai-Ta & Wang, Yaw-Huei & Yu, Min-Teh, 2019. "VIX derivatives: Valuation models and empirical evidence," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 1-21.
    30. Xingguo Luo & Jin E. Zhang & Wenjun Zhang, 2019. "Instantaneous squared VIX and VIX derivatives," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1193-1213, October.

  10. Zhiguang (Gerald) Wang & Prasad V. Bidarkota, 2010. "A Long-Run Risks Model of Asset Pricing with Fat Tails," Review of Finance, European Finance Association, vol. 14(3), pages 409-449.

    Cited by:

    1. Rand Kwong Yew Low, 2018. "Vine copulas: modelling systemic risk and enhancing higher‐moment portfolio optimisation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 423-463, November.
    2. Kwon, Ji Ho, 2019. "Tail risk and the consumption CAPM," Finance Research Letters, Elsevier, vol. 30(C), pages 69-75.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-RMG: Risk Management (2) 2010-01-23 2010-06-18
  2. NEP-UPT: Utility Models and Prospect Theory (2) 2010-06-18 2013-05-11
  3. NEP-AGR: Agricultural Economics (1) 2020-10-05
  4. NEP-FOR: Forecasting (1) 2010-06-18

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, Zhiguang 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.