Optimal Investment under Information Driven Contagious Distress
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- Agostino Capponi & José Figueroa-López & Andrea Pascucci, 2015.
"Dynamic credit investment in partially observed markets,"
Finance and Stochastics, Springer, vol. 19(4), pages 891-939, October.
- Agostino Capponi & Jose Enrique Figueroa Lopez & Andrea Pascucci, 2013. "Dynamic Credit Investment in Partially Observed Markets," Papers 1303.2950, arXiv.org, revised Jun 2014.
- Lijun Bo & Agostino Capponi, 2016. "Optimal Investment In Credit Derivatives Portfolio Under Contagion Risk," Mathematical Finance, Wiley Blackwell, vol. 26(4), pages 785-834, October.
- Tomas Björk & Mark Davis & Camilla Landén, 2010.
"Optimal investment under partial information,"
Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 71(2), pages 371-399, April.
- Björk, Tomas & Davis, Mark H.A. & Landén, Camilla, 2010. "Optimal Investment under Partial Information," SSE/EFI Working Paper Series in Economics and Finance 739, Stockholm School of Economics.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003.
"Modeling and Forecasting Realized Volatility,"
Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2001. "Modeling and Forecasting Realized Volatility," Center for Financial Institutions Working Papers 01-01, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Anderson, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Labys, Paul, 2002. "Modeling and Forecasting Realized Volatility," Working Papers 02-12, Duke University, Department of Economics.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2001. "Modeling and Forecasting Realized Volatility," NBER Working Papers 8160, National Bureau of Economic Research, Inc.
- Tomasz Bielecki & Inwon Jang, 2006. "Portfolio optimization with a defaultable security," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 13(2), pages 113-127, June.
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