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The geometry of the world of currency volatilities
Konstantinov, Gueorgui; Fabozzi, Frank J. - In: Computational economics 60 (2022) 1, pp. 125-145
Persistent link: https://www.econbiz.de/10013262502
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From ad hoc bond-risk measures to variance-covariance forecasts
Jong, Marielle de; Fabozzi, Frank J. - In: The journal of fixed income : JFI 30 (2021) 4, pp. 6-16
Persistent link: https://www.econbiz.de/10012517176
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Multi-factor equity risk models
Fabozzi, Frank J.; Jones, Frank Joseph; Vardharaj, Raman - In: The theory and practice of investment management, (pp. 343-372). 2002
Persistent link: https://www.econbiz.de/10001730001
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Optimal corporate strategy under uncertainty
Chen, Andrew H.; Fabozzi, Frank J.; Huang, Dashan - In: Applied economics 45 (2013) 19/21, pp. 2877-2882
Persistent link: https://www.econbiz.de/10010192369
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Index-exciting CAViaR : a new empirical time-varying risk model
Huang, Dashan; Yu, Baimin; Lu, Zu-di; Fabozzi, Frank J.; … - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 14 (2010) 2, pp. 1-24
Persistent link: https://www.econbiz.de/10009514126
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Risks associated with investing in fixed income securities
Dattatreya, Ravi F.; Fabozzi, Frank J. - In: The handbook of fixed income securities, (pp. 21-29). 2005
Persistent link: https://www.econbiz.de/10003054111
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Hedging interest-rate risk with term-structure factor models
Martellini, Lionel; Priaulet, Philippe; Fabozzi, Frank J. - In: The handbook of fixed income securities, (pp. 967-985). 2005
Persistent link: https://www.econbiz.de/10003055173
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Fundamental multifactor equity risk models
Fabozzi, Frank J.; Vardharaj, Raman; Jones, Frank Joseph - 2008
Persistent link: https://www.econbiz.de/10003764728
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The effects of errors in means, variances, and correlations on the mean-variance framework
Chung, Munki; Lee, Yongjae; Kim, Jang Ho; Kim, Woo Chang; … - In: Quantitative finance 22 (2022) 10, pp. 1893-1903
Persistent link: https://www.econbiz.de/10013367960
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Intertemporal Defaulted Bond Recoveries Prediction Via Machine Learning
Nazemi, Abdolreza - 2018
The recovery rate on defaulted corporate bonds has a time-varying distribution. We propose machine learning approaches for intertemporal analysis of U.S. corporate bonds' recovery rates with a large number of predictors. The most informative macroeconomic variables are selected from a broad...
Persistent link: https://www.econbiz.de/10012908447