Report NEP-RMG-2016-01-18
This is the archive for NEP-RMG, a report on new working papers in the area of Risk Management. Stan Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-RMG
The following items were announced in this report:
- Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Hedging against Risk in a Heterogeneous Leveraged Market," The Warwick Economics Research Paper Series (TWERPS) 1084, University of Warwick, Department of Economics.
- Richard Harris & Linh Nguyen & Evarist Stoja, 2015. "Extreme Downside Risk and Market Turbulence," Bristol Accounting and Finance Discussion Papers 15/2, School of Accounting and Finance, University of Bristol, UK.
- Matt V. Leduc & Sebastian Poledna & Stefan Thurner, 2016. "Systemic Risk Management in Financial Networks with Credit Default Swaps," Papers 1601.02156, arXiv.org, revised Oct 2017.
- Chris Bardgett & Elise Gourier & Markus Leippold, 2016. "Inferring Volatility Dynamics and Risk Premia from the S&P 500 and VIX markets," Working Papers 780, Queen Mary University of London, School of Economics and Finance.
- Ilya Khankov & Henry Penikas, 2015. "Modelling Probability of Default of Russian Banks and Companies Using Copula Models," DEM Working Papers Series 113, University of Pavia, Department of Economics and Management.
- Chen, Cathy Yi-Hsuan & Chiang, Thomas C. & Härdle, Wolfgang Karl, 2016. "Downside risk and stock returns: An empirical analysis of the long-run and short-run dynamics from the G-7 Countries," SFB 649 Discussion Papers 2016-001, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Isabel Argimón & Ángel Estrada & Michel Dietsch, 2015. "Prudential filters, portfolio composition and capital ratios in european banks," Working Papers 1538, Banco de España.
- Lev B Klebanov, 2015. "No Stable Distributions in Finance, please!," Papers 1601.00566, arXiv.org, revised Jan 2016.
- Marcin Chlebus, 2016. "One-Day Prediction of State of Turbulence for Portfolio. Models for Binary Dependent Variable," Working Papers 2016-01, Faculty of Economic Sciences, University of Warsaw.