(in no particular order)
Frankfurt School of Finance and ManagementFrankfurt, Germany
Sonnemannstraße 9-11, 60314 Frankfurt am Main
RePEc:edi:hfbfide (more details at EDIRC)
Research outputJump to: Working papers
- Kilin, Fiodar, 2006. "Accelerating the calibration of stochastic volatility models," MPRA Paper 2975, University Library of Munich, Germany, revised 22 Apr 2007.
CitationsMany 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.
- Kilin, Fiodar, 2006.
"Accelerating the calibration of stochastic volatility models,"
2975, University Library of Munich, Germany, revised 22 Apr 2007.
- Stefano Pagliarani & Andrea Pascucci, 2013. "Local Stochastic Volatility With Jumps: Analytical Approximations," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 16(08), pages 1-35.
- Ricardo Crisóstomo, 2017. "Speed and biases of Fourier-based pricing choices: Analysis of the Bates and Asymmetric Variance Gamma models," CNMV Working Papers CNMV Working Papers no. 6, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
- Cristian Homescu, 2011. "Implied Volatility Surface: Construction Methodologies and Characteristics," Papers 1107.1834, arXiv.org.
- Inklaar, Robert & Koetter, Michael & Noth, Felix, 2012. "Who's afraid of big bad banks? Bank competition, SME, and industry growth," Frankfurt School - Working Paper Series 197, Frankfurt School of Finance and Management.
- Dietmar Harhoff & Elisabeth Mueller & John Van Reenen, 2013.
"What are the Channels for Technology Sourcing? Panel Data Evidence from German Companies,"
CEP Discussion Papers
dp1193, Centre for Economic Performance, LSE.
- Harhoff, Dietmar, 2012. "What are the Channels for Technology Sourcing? Panel Data Evidence from German Companies," Discussion Papers in Business Administration 14327, University of Munich, Munich School of Management.
- Harhoff, Dietmar & Mueller, Elisabeth & Van Reenen, John, 2013. "What are the channels for technology sourcing? Panel data evidence from German companies," LSE Research Online Documents on Economics 51524, London School of Economics and Political Science, LSE Library.
- Harhoff, Dietmar & Mueller, Elisabeth & Van Reenen, John, 2012. "What are the channels for technology sourcing? Panel data evidence from German companies," Frankfurt School - Working Paper Series 187, Frankfurt School of Finance and Management.
- Dietmar Harhoff & Elisabeth Mueller & John Reenen, 2014. "What are the Channels for Technology Sourcing? Panel Data Evidence from German Companies," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(1), pages 204-224, March.
- Libman, Alexander & Kozlov, Vladimir & Schultz, André, 2012.
"Roving bandits in action: Outside option and governmental predation in autocracies,"
Frankfurt School - Working Paper Series
190, Frankfurt School of Finance and Management.
- Alexander Libman & Vladimir Kozlov & André Schultz, 2012. "Roving Bandits in Action: Outside Option and Governmental Predation in Autocracies," Kyklos, Wiley Blackwell, vol. 65(4), pages 526-562, November.
- Yu, Xiaofan, 2011. "A spatial interpretation of the persistency of China's provincial inequality," Frankfurt School - Working Paper Series 171, Frankfurt School of Finance and Management.
- Mascagni Michael & Qiu Yue & Hin Lin-Yee, 2014. "High performance computing in quantitative finance: A review from the pseudo-random number generator perspective," Monte Carlo Methods and Applications, De Gruyter, vol. 20(2), pages 101-120, June.
- Boeing, Philipp & Mueller, Elisabeth & Sandner, Philipp, 2012. "What makes Chinese firms productive? Learning from indigenous and foreign sources of knowledge," Frankfurt School - Working Paper Series 196, Frankfurt School of Finance and Management.
- Susanne Griebsch & Uwe Wystup, 2011.
"On the valuation of fader and discrete barrier options in Heston's stochastic volatility model,"
Taylor & Francis Journals, vol. 11(5), pages 693-709.
- Griebsch, Susanne & Wystup, Uwe, 2008. "On the valuation of fader and discrete barrier options in Heston's Stochastic Volatility Model," CPQF Working Paper Series 17, Frankfurt School of Finance and Management, Centre for Practical Quantitative Finance (CPQF).
- Marcos Escobar & Peter Hieber & Matthias Scherer, 2014. "Efficiently pricing double barrier derivatives in stochastic volatility models," Review of Derivatives Research, Springer, vol. 17(2), pages 191-216, July.
- Janis Back & Marcel Prokopczuk & Markus Rudolf, 2011.
"Seasonal Stochastic Volatility: Implications for the Pricing of Commodity Options,"
ICMA Centre Discussion Papers in Finance
icma-dp2011-16, Henley Business School, Reading University.
- Arismendi, Juan C. & Back, Janis & Prokopczuk, Marcel & Paschke, Raphael & Rudolf, Markus, 2016. "Seasonal Stochastic Volatility: Implications for the pricing of commodity options," Journal of Banking & Finance, Elsevier, vol. 66(C), pages 53-65.
- Manfred Gilli & Enrico Schumann, 2010. "Calibrating Option Pricing Models with Heuristics," Working Papers 030, COMISEF.
- Böing, Philipp & Müller, Elisabeth, 2012. "Technological Capabilities of Chinese Enterprises: Who is Going to Compete Abroad?," Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62081, Verein für Socialpolitik / German Economic Association.
- Yuri F. Saporito & Xu Yang & Jorge P. Zubelli, 2017. "The Calibration of Stochastic-Local Volatility Models - An Inverse Problem Perspective," Papers 1711.03023, arXiv.org.
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