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Citations for "Understanding Index Option Returns"

by Broadie, Mark & Chernov, Mikhail & Johannes, Michael

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  1. Yang-Ho Park, 2013. "Volatility of volatility and tail risk premiums," Finance and Economics Discussion Series 2013-54, Board of Governors of the Federal Reserve System (U.S.).
  2. Peter Christoffersen & Kris Jacobs & Bo Young Chang, 2011. "Forecasting with Option Implied Information," CREATES Research Papers 2011-46, School of Economics and Management, University of Aarhus.
  3. David Backus & Mikhail Chernov & Ian Martin, 2011. "Disasters Implied by Equity Index Options," Journal of Finance, American Finance Association, vol. 66(6), pages 1969-2012, December.
  4. David Backus & Mikhail Chernov & Stanley Zin, 2014. "Sources of Entropy in Representative Agent Models," Journal of Finance, American Finance Association, vol. 69(1), pages 51-99, 02.
  5. Guasoni, Paolo & Huberman, Gur & Wang, Zhenyu, 2010. "Performance Maximization of Actively Managed Funds," CEPR Discussion Papers 7676, C.E.P.R. Discussion Papers.
  6. Schwarz, Claudia, 2014. "Investor fears and risk premia for rare events," Discussion Papers 03/2014, Deutsche Bundesbank, Research Centre.
  7. Tim Bollerslev & Viktor Todorov, 2011. "Estimation of Jump Tails," Econometrica, Econometric Society, vol. 79(6), pages 1727-1783, November.
  8. Bekaert, Geert & Engstrom, Eric & Ermolov, Andrey, 2015. "Bad environments, good environments: A non-Gaussian asymmetric volatility model," Journal of Econometrics, Elsevier, vol. 186(1), pages 258-275.
  9. Creel, Michael & Kristensen, Dennis, 2015. "ABC of SV: Limited information likelihood inference in stochastic volatility jump-diffusion models," Journal of Empirical Finance, Elsevier, vol. 31(C), pages 85-108.
  10. Byeong-Je An & Andrew Ang & Turan G. Bali & Nusret Cakici, 2014. "The Joint Cross Section of Stocks and Options," Journal of Finance, American Finance Association, vol. 69(5), pages 2279-2337, October.
  11. Branger, Nicole & Hansis, Alexandra, 2012. "Asset allocation: How much does model choice matter?," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1865-1882.
  12. Peter Christoffersen & Ruslan Goyenko & Kris Jacobs & Mehdi Karoui, 2011. "Illiquidity Premia in the Equity Options Market," CREATES Research Papers 2011-43, School of Economics and Management, University of Aarhus.
  13. Tim Leung & Marco Santoli, 2014. "Accounting for Earnings Announcements in the Pricing of Equity Options," Papers 1412.8414, arXiv.org, revised Apr 2015.
  14. Chabi-Yo, Fousseni & Ruenzi, Stefan & Weigert, Florian, 2013. "Crash Sensitivity and the Cross-Section of Expected Stock Returns," Working Papers on Finance 1324, University of St. Gallen, School of Finance, revised Mar 2015.
  15. Bakshi, Gurdip & Madan, Dilip & Panayotov, George, 2010. "Returns of claims on the upside and the viability of U-shaped pricing kernels," Journal of Financial Economics, Elsevier, vol. 97(1), pages 130-154, July.
  16. Audrino, Francesco & Fengler, Matthias, 2013. "Are classical option pricing models consistent with observed option second-order moments? Evidence from high-frequency data," Economics Working Paper Series 1311, University of St. Gallen, School of Economics and Political Science.
  17. Chen, Hsuan-Chi & Chung, San-Lin & Ho, Keng-Yu, 2011. "The diversification effects of volatility-related assets," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1179-1189, May.
  18. Chiarella, Carl & Kang, Boda & Nikitopoulos, Christina Sklibosios & Tô, Thuy-Duong, 2013. "Humps in the volatility structure of the crude oil futures market: New evidence," Energy Economics, Elsevier, vol. 40(C), pages 989-1000.
  19. Bates, David S., 2012. "U.S. stock market crash risk, 1926–2010," Journal of Financial Economics, Elsevier, vol. 105(2), pages 229-259.
  20. Andries, Marianne & Eisenbach, Thomas M. & Schmalz, Martin C., 2014. "Asset pricing with horizon-dependent risk aversion," Staff Reports 703, Federal Reserve Bank of New York.
  21. Tim Bollerslev & Viktor Todorov, 2009. "Tails, Fears and Risk Premia," CREATES Research Papers 2009-26, School of Economics and Management, University of Aarhus.
  22. Korteweg, Arthur & Nagel, Stefan, 2013. "Risk-Adjusting the Returns to Venture Capital," CEPR Discussion Papers 9610, C.E.P.R. Discussion Papers.
  23. Tim Leung & Yoshihiro Shirai, 2015. "Optimal Derivative Liquidation Timing Under Path-Dependent Risk Penalties," Papers 1502.00358, arXiv.org.
  24. Alfredo Ibáñez, 2008. "The cross-section of average delta-hedge option returns under stochastic volatility," Review of Derivatives Research, Springer, vol. 11(3), pages 205-244, October.
  25. David S. Bates, 2009. "U.S. Stock Market Crash Risk, 1926-2006," NBER Working Papers 14913, National Bureau of Economic Research, Inc.
  26. Shackleton, Mark B. & Voukelatos, Nikolaos, 2013. "Hedging efficiency in the Greek options market before and after the financial crisis of 2008," Journal of Multinational Financial Management, Elsevier, vol. 23(1), pages 1-18.
  27. Dennis Kristensen & Antonio Mele, 2009. "Adding and Subtracting Black-Scholes: A New Approach to Approximating Derivative Prices in Continuous Time Models," CREATES Research Papers 2009-14, School of Economics and Management, University of Aarhus.
  28. Santa-Clara, Pedro & Saretto, Alessio, 2009. "Option strategies: Good deals and margin calls," Journal of Financial Markets, Elsevier, vol. 12(3), pages 391-417, August.
  29. Peter Christoffersen & Mathieu Fournier & Kris Jacobs, 2013. "The Factor Structure in Equity Options," CREATES Research Papers 2013-47, School of Economics and Management, University of Aarhus.
  30. Hiroshi Sasaki, 2015. "Understanding Delta-Hedged Option Returns in Stochastic Volatility Environments," Asia-Pacific Financial Markets, Springer, vol. 22(2), pages 151-184, May.
  31. Jose Faias & Pedro Santa-Clara, 2011. "Optimal Option Portfolio Strategies," EcoMod2011 3041, EcoMod.
  32. Carl Chiarella & Boda Kang & Christina Nikitopoulos-Sklibosios & Thuy-Duong To, 2012. "Humps in the Volatility Structure of the Crude Oil Futures Market," Research Paper Series 308, Quantitative Finance Research Centre, University of Technology, Sydney.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.