Biao Guo

Personal Details

First Name:	Biao
Middle Name:
Last Name:	Guo
Suffix:
RePEc Short-ID:	pgu306
	[This author has chosen not to make the email address public]
	http://www.mathfinance.cn

Affiliation

School of Finance
Renmin University of China

Beijing, China
http://sf.ruc.edu.cn/
RePEc:edi:sfruccn (more details at EDIRC)

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. Biao Guo & Qian Han & Doojin Ryu & Robert I. Webb, 2013. "Asymmetric and negative return-volatility relationship: the case of the VKOSPI," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

   Cited by:

   1. Han, Heejoon & Kutan, Ali M. & Ryu, Doojin, 2015. "Modeling and predicting the market volatility index: The case of VKOSPI," Economics Discussion Papers 2015-7, Kiel Institute for the World Economy (IfW Kiel).

2. Biao Guo & Qian Han & Maonan Liu & Doojin Ryu, 2013. "A Tale of Two Index Futures: The Intraday Price Discovery Process between the China Financial Futures Exchange and the Singapore Exchange," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

   Cited by:

   1. Qian Han & Jufang Liang, 2017. "Index Futures Trading Restrictions and Spot Market Quality: Evidence from the Recent Chinese Stock Market Crash," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(4), pages 411-428, April.
   2. Hou, Yang & Nartea, Gilbert, 2017. "Price Discovery in the Stock Index Futures Market: Evidence from the Chinese stock market crash," MPRA Paper 81995, University Library of Munich, Germany.
   3. Sarveshwar Kumar Inani, 2017. "Price discovery in Indian stock index futures market: new evidence based on intraday data," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 14(1), pages 23-43.
   4. Chulwoo Han & Soosung Hwang & Doojin Ryu, 2015. "Market overreaction and investment strategies," Applied Economics, Taylor & Francis Journals, vol. 47(54), pages 5868-5885, November.
   5. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
   6. Kumar, S.S.S. & Sampath, Aravind, 2019. "What drives the off-shore futures market? Evidence from India and China," Finance Research Letters, Elsevier, vol. 30(C), pages 394-402.
   7. Atilgan, Yigit & Demirtas, K. Ozgur & Simsek, Koray D., 2016. "Derivative markets in emerging economies: A survey," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 88-102.
   8. Jing Hao & Xiong Xiong & Feng He & Feng Ma, 2019. "Price Discovery in the Chinese Stock Index Futures Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(13), pages 2982-2996, October.
   9. Hou, Yang & Li, Steven, 2016. "Information transmission between U.S. and China index futures markets: An asymmetric DCC GARCH approach," Economic Modelling, Elsevier, vol. 52(PB), pages 884-897.
   10. Daehyeon Park & Jiyeon Park & Doojin Ryu, 2020. "Volatility Spillovers between Equity and Green Bond Markets," Sustainability, MDPI, vol. 12(9), pages 1-12, May.

Articles

1. He, Zhongda & Guo, Biao & Shi, Yukun & Zhao, Yang, 2022. "Natural disasters and CSR: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).

   Cited by:

   1. Chao Yan & Jiaxin Wang & Zhi Wang & Kam C. Chan, 2023. "Awe culture and corporate social responsibility: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(3), pages 3487-3517, September.
   2. Libin Han & Chong Peng, 2022. "Do the Age and Gender of Chairperson Affect Firms’ Environmental Protection Investment?," IJERPH, MDPI, vol. 19(21), pages 1-12, November.
   3. Deng, Nana & Wang, Bo & Wang, Zhaohua, 2023. "Does targeted poverty alleviation improve households’ adaptation to hot weathers: Evidence from electricity consumption of poor households," Energy Policy, Elsevier, vol. 183(C).

2. Biao Guo & Qian Han & Jufang Liang & Doojin Ryu & Jinyoung Yu, 2020. "Sovereign Credit Spread Spillovers in Asia," Sustainability, MDPI, vol. 12(4), pages 1-14, February.

   Cited by:

   1. PASCOAL Fabian Buddy & JUWANA Hikmahanto & KARUNIASA Mahawan & DJOJOKUSUMO Himawan Hariyoga, 2023. "Sovereign Esg Integration: A Bibliometric And Systematic Literature Review," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 18(1), pages 231-260, April.

3. Biao Guo & Hai Lin, 2020. "Volatility and jump risk in option returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1767-1792, November.

   Cited by:

   1. Tong, Yuan & Wan, Ning & Dai, Xingyu & Bi, Xiaoyi & Wang, Qunwei, 2022. "China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?," Energy Economics, Elsevier, vol. 109(C).

4. Biao Guo & Yukun Shi & Yaofei Xu, 2020. "Volatility information difference between CDS, options, and the cross section of options returns," Quantitative Finance, Taylor & Francis Journals, vol. 20(12), pages 2025-2036, December.

   Cited by:

   1. Biao Guo & Qian Han & Jufang Liang & Doojin Ryu & Jinyoung Yu, 2020. "Sovereign Credit Spread Spillovers in Asia," Sustainability, MDPI, vol. 12(4), pages 1-14, February.

5. Biao Guo & Qian Han & Hai Lin, 2018. "Are there gains from using information over the surface of implied volatilities?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 645-672, June.

   Cited by:

   1. Chen, Ying & Han, Qian & Niu, Linlin, 2018. "Forecasting the Term Structure of Option Implied Volatility: The Power of an Adaptive Method," IRTG 1792 Discussion Papers 2018-046, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
      • Chen, Ying & Han, Qian & Niu, Linlin, 2018. "Forecasting the term structure of option implied volatility: The power of an adaptive method," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 157-177.
   2. 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.

6. Biao Guo, 2016. "CDS Inferred Stock Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(8), pages 745-757, August.

   Cited by:

   1. Shi, Yukun & Chen, Ding & Guo, Biao & Xu, Yaofei & Yan, Cheng, 2022. "The information content of CDS implied volatility and associated trading strategies," International Review of Financial Analysis, Elsevier, vol. 83(C).
   2. Younghwan Lee & Haerang Park, 2020. "Bank risk‐taking and market discipline: Evidence from CoCo bonds in Korea," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 885-894, June.
   3. Forte, Santiago & Lovreta, Lidija, 2023. "Credit default swaps, the leverage effect, and cross-sectional predictability of equity and firm asset volatility," Journal of Corporate Finance, Elsevier, vol. 79(C).
   4. Jansen, Jeroen & Das, Sanjiv R. & Fabozzi, Frank J., 2018. "Local volatility and the recovery rate of credit default swaps," Journal of Economic Dynamics and Control, Elsevier, vol. 92(C), pages 1-29.

7. Guo, Biao & Xiao, Yugu, 2016. "A note on why doesn't the choice of performance measure matter?," Finance Research Letters, Elsevier, vol. 16(C), pages 248-254.

   Cited by:

   1. León, Angel & Navarro, Lluís & Nieto, Belén, 2019. "Screening rules and portfolio performance," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 642-662.
   2. Lu, Jin-Ray & Li, Xiu-Yan, 2021. "Identifying the fair value of Sharpe ratio by an option valuation approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 63-70.
   3. Cuizhen Niu & Wing-Keung Wong & Qunfang Xu, 2017. "Kappa ratios and (higher-order) stochastic dominance," Risk Management, Palgrave Macmillan, vol. 19(3), pages 245-253, August.
   4. Auer, Benjamin R., 2018. "A note on Guo and Xiao's (2016) results on monotonic functions of the Sharpe ratio," Finance Research Letters, Elsevier, vol. 24(C), pages 289-290.
   5. Niu, Cuizhen & Wong, Wing-Keung & Xu, Qunfang, 2017. "Higher-Order Risk Measure and (Higher-Order) Stochastic Dominance," MPRA Paper 75948, University Library of Munich, Germany.
   6. León, Angel & Moreno, Manuel, 2017. "One-sided performance measures under Gram-Charlier distributions," Journal of Banking & Finance, Elsevier, vol. 74(C), pages 38-50.
   7. Richard Lu & Adrian (Wai Kong) Cheung & Vu T. Hoang & Sardar M. N. Islam, 2021. "Which measure of systematic risk should we use? An empirical study on systematical risk and Treynor measure using the economic index of riskiness and operational measure of riskiness," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1739-1744, April.

8. Biao Guo & Qian Han & Jaeram Lee & Doojin Ryu, 2015. "How Important is a Non‐Default Factor for CDS Valuation?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(11), pages 1088-1101, November.

   Cited by:

   1. Kim, Jungmu & Park, Yuen Jung & Ryu, Doojin, 2016. "Hawkes-diffusion process and the conditional probability of defaults in the Eurozone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 301-310.

9. Guo, Biao & Luo, Xingguo & Zhang, Ziding, 2014. "Sell in May and Go Away: Evidence from China," Finance Research Letters, Elsevier, vol. 11(4), pages 362-368.

   Cited by:

   1. Alex Plastun & Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2020. "Halloween Effect in developed stock markets: A historical perspective," International Economics, CEPII research center, issue 161, pages 130-138.
      • Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2020. "Halloween Effect in developed stock markets: A historical perspective," International Economics, Elsevier, vol. 161(C), pages 130-138.
   2. Bing Xiao & Philippe Maillebuau, 2020. "The Seasonal Effect On The Chinese Gold Market Using An Empirical Analysis Of The Shanghai Gold Exchange," Post-Print hal-02905216, HAL.
   3. Thi Hong Van Hoang & Zhenzhen Zhu & Bing Xiao & Wing‐keung Wong, 2018. "The seasonality of gold prices in China: Does the risk-aversion level matter?," Post-Print hal-01903522, HAL.
      • Thi Hong Van Hoang & Zhenzhen Zhu & Bing Xiao & Wing‐Keung Wong, 2020. "The seasonality of gold prices in China does the risk‐aversion level matter?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 2617-2664, September.
   4. Alex Plastun & Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2019. "Halloween Effect in Developed Stock Markets: A US Perspective," Working Papers 201914, University of Pretoria, Department of Economics.
   5. Peter Arendas & Viera Malacka & Maria Schwarzova, 2018. "A Closer Look at the Halloween Effect: The Case of the Dow Jones Industrial Average," IJFS, MDPI, vol. 6(2), pages 1-12, April.
   6. Pierre R. Bertrand & Marie-Eliette Dury & Bing Xiao, 2020. "A study of Chinese market efficiency, Shanghai versus Shenzhen: Evidence based on multifractional models," Post-Print hal-03031766, HAL.
   7. Monika Krawiec & Anna Górska, 2021. "Are soft commodities markets affected by the Halloween effect?," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(12), pages 491-499.
   8. Guan, Xian & Saxena, Konark, 2015. "Capital market seasonality: The curious case of large foreign stocks," Finance Research Letters, Elsevier, vol. 15(C), pages 85-92.
   9. Degenhardt, Thomas & Auer, Benjamin R., 2018. "The “Sell in May” effect: A review and new empirical evidence," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 169-205.
   10. Chui, David & Wing Cheng, Wui & Chi Chow, Sheung & LI, Ya, 2020. "Eastern Halloween effect: A stochastic dominance approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 68(C).
   11. Haibin Xie & Qilin Qin & Shouyang Wang, 2016. "Is Halloween Effect a New Puzzle? Evidence from Price Gap," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 19-31, November.

10. Biao Guo & Qian Han & Bin Zhao, 2014. "The Nelson–Siegel Model of the Term Structure of Option Implied Volatility and Volatility Components," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(8), pages 788-806, August.
    • Qian Han & Bin Zhao, 2014. "The Nelson-Siegel Model of the Term Structure of Option Implied Volatility and Volatility Components," Working Papers 2014-01-15, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Chen, Ying & Han, Qian & Niu, Linlin, 2018. "Forecasting the Term Structure of Option Implied Volatility: The Power of an Adaptive Method," IRTG 1792 Discussion Papers 2018-046, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
       • Chen, Ying & Han, Qian & Niu, Linlin, 2018. "Forecasting the term structure of option implied volatility: The power of an adaptive method," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 157-177.
    2. 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.
    3. Alexander Bogin & William Doerner, 2014. "Generating historically-based stress scenarios using parsimonious factorization," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 15(5), pages 591-611, November.
       • Alexander N. Bogin & William M. Doerner, 2013. "Generating Historically-Based Stress Scenarios Using Parsimonious Factorization," FHFA Staff Working Papers 13-02, Federal Housing Finance Agency, revised Aug 2014.
    4. Biao Guo & Qian Han & Hai Lin, 2018. "Are there gains from using information over the surface of implied volatilities?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 645-672, June.
    5. Shi, Yukun & Stasinakis, Charalampos & Xu, Yaofei & Yan, Cheng, 2022. "Market co-movement between credit default swap curves and option volatility surfaces," International Review of Financial Analysis, Elsevier, vol. 82(C).
    6. Michel A. Robe & Jonathan Wallen, 2016. "Fundamentals, Derivatives Market Information and Oil Price Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(4), pages 317-344, April.
    7. Lovreta, Lidija & Silaghi, Florina, 2020. "The surface of implied firm’s asset volatility," Journal of Banking & Finance, Elsevier, vol. 112(C).
    8. Wu, Lingke & Liu, Dehong & Yuan, Jianglei & Huang, Zhenhuan, 2022. "Implied volatility information of Chinese SSE 50 ETF options," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 609-624.
    9. Peter K. Friz & Paul Gassiat & Paolo Pigato, 2022. "Short-dated smile under rough volatility: asymptotics and numerics," Quantitative Finance, Taylor & Francis Journals, vol. 22(3), pages 463-480, March.
       • Peter K. Friz & Paul Gassiat & Paolo Pigato, 2020. "Short dated smile under Rough Volatility: asymptotics and numerics," Papers 2009.08814, arXiv.org, revised Sep 2021.
    10. Anders Merrild Posselt, 2022. "Dynamics in the VIX complex," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(9), pages 1665-1687, September.
    11. Covindassamy, Genevre & Robe, Michel A. & Wallen, Jonathan, 2016. "Sugar With Your Coffee?: Financials, Fundamentals, and Soft Price Uncertainty," IDB Publications (Working Papers) 8588, Inter-American Development Bank.
    12. Giovanni Campisi & Silvia Muzzioli, 2021. "Designing volatility indices for Austria, Finland and Spain," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(3), pages 369-455, September.

11. Biao Guo & Qian Han & Maonan Liu & Doojin Ryu, 2013. "A Tale of Two Index Futures: The Intraday Price Discovery and Volatility Transmission Processes Between the China Financial Futures Exchange and the Singapore Exchange," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S4), pages 197-212, September.

    Cited by:

    1. Qian Han & Jufang Liang, 2017. "Index Futures Trading Restrictions and Spot Market Quality: Evidence from the Recent Chinese Stock Market Crash," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(4), pages 411-428, April.
    2. Hou, Yang & Nartea, Gilbert, 2017. "Price Discovery in the Stock Index Futures Market: Evidence from the Chinese stock market crash," MPRA Paper 81995, University Library of Munich, Germany.
    3. Sarveshwar Kumar Inani, 2017. "Price discovery in Indian stock index futures market: new evidence based on intraday data," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 14(1), pages 23-43.
    4. Geeta Duppati & Yang (Greg) Hou & Frank Scrimgeour, 2017. "The dynamics of price discovery for cross-listed stocks evidence from US and Chinese markets," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1389675-138, January.
    5. Chulwoo Han & Soosung Hwang & Doojin Ryu, 2015. "Market overreaction and investment strategies," Applied Economics, Taylor & Francis Journals, vol. 47(54), pages 5868-5885, November.
    6. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    7. Kumar, S.S.S. & Sampath, Aravind, 2019. "What drives the off-shore futures market? Evidence from India and China," Finance Research Letters, Elsevier, vol. 30(C), pages 394-402.
    8. Atilgan, Yigit & Demirtas, K. Ozgur & Simsek, Koray D., 2016. "Derivative markets in emerging economies: A survey," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 88-102.
    9. Jing Hao & Xiong Xiong & Feng He & Feng Ma, 2019. "Price Discovery in the Chinese Stock Index Futures Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(13), pages 2982-2996, October.
    10. Hou, Yang & Li, Steven, 2016. "Information transmission between U.S. and China index futures markets: An asymmetric DCC GARCH approach," Economic Modelling, Elsevier, vol. 52(PB), pages 884-897.
    11. Daehyeon Park & Jiyeon Park & Doojin Ryu, 2020. "Volatility Spillovers between Equity and Green Bond Markets," Sustainability, MDPI, vol. 12(9), pages 1-12, May.

12. Biao Guo & Qian Han & Doojin Ryu, 2013. "Is the KOSPI 200 Options Market Efficient? Parametric and Nonparametric Tests of the Martingale Restriction," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(7), pages 629-652, July.

    Cited by:

    1. Kim, Jun Sik & Ryu, Doojin, 2014. "Intraday price dynamics in spot and derivatives markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 247-253.
    2. Chung, Kee H. & Park, Seongkyu “Gilbert” & Ryu, Doojin, 2016. "Trade duration, informed trading, and option moneyness," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 395-411.
    3. Doojin RYU & Hyein SHIM, 2017. "Intraday Dynamics of Asset Returns, Trading Activities, and Implied Volatilities: A Trivariate GARCH Framework," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 45-61, June.
    4. Lee, Jaeram & Kang, Jangkoo & Ryu, Doojin, 2015. "Common deviation and regime-dependent dynamics in the index derivatives markets," Pacific-Basin Finance Journal, Elsevier, vol. 33(C), pages 1-22.
    5. Ryu, Doojin, 2013. "What types of investors generate the two-phase phenomenon?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5939-5946.
    6. Chulwoo Han & Soosung Hwang & Doojin Ryu, 2015. "Market overreaction and investment strategies," Applied Economics, Taylor & Francis Journals, vol. 47(54), pages 5868-5885, November.
    7. Doojin Ryu & Heejin Yang, 2018. "The directional information content of options volumes," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(12), pages 1533-1548, December.
    8. Kim, Jun Sik & Ryu, Doojin, 2015. "Are the KOSPI 200 implied volatilities useful in value-at-risk models?," Emerging Markets Review, Elsevier, vol. 22(C), pages 43-64.
    9. Doojin Ryu, 2013. "Spread and depth adjustment process: an analysis of high-quality microstructure data," Applied Economics Letters, Taylor & Francis Journals, vol. 20(16), pages 1506-1510, November.
    10. Webb, Robert I. & Ryu, Doojin & Ryu, Doowon & Han, Joongho, 2016. "The price impact of futures trades and their intraday seasonality," Emerging Markets Review, Elsevier, vol. 26(C), pages 80-98.
    11. Han, Heejoon & Kutan, Ali M. & Ryu, Doojin, 2015. "Effects of the US stock market return and volatility on the VKOSPI," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-34.
    12. Han, Heejoon & Kutan, Ali M. & Ryu, Doojin, 2015. "Modeling and predicting the market volatility index: The case of VKOSPI," Economics Discussion Papers 2015-7, Kiel Institute for the World Economy (IfW Kiel).
    13. Zhang, Huiming & Watada, Junzo, 2019. "An analysis of the arbitrage efficiency of the Chinese SSE 50ETF options market," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 474-489.
    14. Park, Sung Y. & Ryu, Doojin & Song, Jeongseok, 2017. "The dynamic conditional relationship between stock market returns and implied volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 638-648.
    15. Jung Park, Yuen & Kutan, Ali M. & Ryu, Doojin, 2019. "The impacts of overseas market shocks on the CDS-option basis," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 622-636.
    16. Doojin Ryu, 2015. "Information content of inter-transaction time: A structural approach," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(4), pages 697-711, August.
    17. Jaeram Lee & Doojin Ryu, 2016. "Asymmetric Mispricing and Regime-dependent Dynamics in Futures and Options Markets," Asian Economic Journal, East Asian Economic Association, vol. 30(1), pages 47-65, March.
    18. Kang, Bo Soo & Ryu, Doojin & Ryu, Doowon, 2014. "Phase-shifting behaviour revisited: An alternative measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 167-173.

13. Biao Guo & David Newton, 2013. "Regime-Dependent Liquidity Determinants Of Credit Default Swap Spread Changes," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(2), pages 279-298, June.

    Cited by:

    1. Biao Guo & Qian Han & Jufang Liang & Doojin Ryu & Jinyoung Yu, 2020. "Sovereign Credit Spread Spillovers in Asia," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
    2. Mustafa Akay & Berat Bayram & Abdullah Kazdal & Muhammed Hasan Yilmaz, 2020. "Investigating Regime-Dependent Dynamics in Country Risk Premium: Evidence from Turkey and Emerging Markets," CBT Research Notes in Economics 2008, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    3. Avino, Davide & Nneji, Ogonna, 2012. "Are CDS spreads predictable? An analysis of linear and non-linear forecasting models," MPRA Paper 42848, University Library of Munich, Germany.
       • Avino, Davide & Nneji, Ogonna, 2014. "Are CDS spreads predictable? An analysis of linear and non-linear forecasting models," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 262-274.
    4. OKIMOTO Tatsuyoshi & TAKAOKA Sumiko, 2022. "Credit Default Swaps and Corporate Carbon Emissions in Japan," Discussion papers 22098, Research Institute of Economy, Trade and Industry (RIETI).

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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 2 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-MST: Market Microstructure (1) 2014-05-09
2. NEP-SEA: South East Asia (1) 2014-05-09
3. NEP-TRA: Transition Economics (1) 2014-05-09

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