Monotone convex operators and time-consistent systems of operators appear naturally in stochastic optimisation and mathematical finance in the context of pricing and risk measurement. We study the dual representation of a monotone convex operator when its domain is defined on a subspace of LpL_p, with 1 ≤ p ≤ ∞, and we prove a sandwich preserving extension theorem. These results are then applied to study systems of such operators defined only on subspaces. We propose various dynamic sandwich preserving extension results depending on the nature of time: finite discrete, countable discrete, and continuous. Of particular notice is the fact that the extensions obtained are time-consistent.

Contact details are reproduced from the original publication and may be historical.

Giulia Di Nunno

Dept. of Mathematics, University of Oslo, P. O. Box 1053 Blindern, 0316 Oslo, Norway
and: NHH Norwegian School of Economics, Helleveien 30, 5045 Bergen, Norway

giulian@math.uio.no
  1. B. Acciaio, I. Penner: Dynamic Risk Measures. Advanced Mathematical Methods for Finance, G. Di Nunno and B. Øksendal (eds.), Springer-Verlag, Berlin-Heidelberg (2011) 1–34.https://doi.org/10.1007/978-3-642-18412-3_1Google Scholar
  2. S. Albeverio, G. Di Nunno, Y. A. Rozanov: Price operators analysis in Lp - spaces, Acta Applicandae Mathematicae 89 (2005) 85–108.https://doi.org/10.1007/s10440-005-9007-0Google Scholar
  3. S. Albeverio, Y. A. Rozanov: On multi-period market extension with the uniformly equivalent martingale measure, Acta Applicandae Mathematicae 67 (2001) 253–275.https://doi.org/10.1023/A:1011994115901Google Scholar
  4. S. Biagini, M. Frittelli: On the extension of the Namioka-Klee theorem and on the Fatou property for risk-measures, in: Optimality and Risk: Modern Trends in Mathematical Finance. The Kabanov Festschrift, F. Delbaen, M. Rasony and C. Stricker (eds.), Springer-Verlag, Berlin (2009) 1–28.https://doi.org/10.1007/978-3-642-02608-9_1Google Scholar
  5. J. Bion-Nadal: Conditional risk measure and robust representation of convex conditional risk measures, CMAP preprint 557 (2004).Google Scholar
  6. J. Bion-Nadal: Dynamic risk measures: time-consistency and risk measures from BMO martingales, Finance and Stochastics 12 (2008) 219–244.https://doi.org/10.1007/s00780-007-0057-1Google Scholar
  7. J. Bion-Nadal: Bid-ask dynamic pricing in financial markets with transaction costs and liquidity risk, J. Math. Econom. 45(11) (2009) 738-–750.https://doi.org/10.1016/j.jmateco.2009.05.004Google Scholar
  8. J. Bion-Nadal: Time-consistent dynamic risk processes, Stochastic Processes and their Applications 119(2) (2009) 633–654.https://doi.org/10.1016/j.spa.2008.02.011Google Scholar
  9. J. Bion-Nadal, G. Di Nunno: Dynamic no-good-deal pricing measures and extension theorems for linear operators on L∞, Finance and Stochastics 17(3) (2013) 587–613.https://doi.org/10.1007/s00780-012-0195-yGoogle Scholar
  10. N. Bourbaki: Espaces Vectoriels Topologiques, Masson, Paris (1981).Google Scholar
  11. F. Delbaen: The structure of m-stable sets and in particular of the set of risk neutral measures. In memoriam Paul-André Meyer, in: Séminaire de Probabilités XXXIX, Lecture Notes in Math. 1874, Springer-Verlag, Berlin (2006) 215–-258.https://doi.org/10.1007/978-3-540-35513-7_17Google Scholar
  12. F. Delbaen, S.Peng, E. Rosazza Gianin: Representation of the penalty term of dynamic concave utilities, Finance and Stochastics (14) (2010) 449–472.https://doi.org/10.1007/s00780-009-0119-7Google Scholar
  13. C. Dellacherie, P. A. Meyer: Probabilités et Potentiel, Hermann, Paris (1980) (Chapter V-VIII – Théorie des Martingales.); English translation: Probabilities and Potential, North Holland, Amsterdam (1982).Google Scholar
  14. K. Detlefsen, G. Scandolo: Conditional and dynamic convex risk measures, Finance and Stochastics 9 (2005) 539–561.https://doi.org/10.1007/s00780-005-0159-6Google Scholar
  15. N. Dunford, J. Schwartz: Linear Operators. Part I: General Theory, Interscience Publishers, New York (1958).Google Scholar
  16. G. Di Nunno, I. B. Eide: Lower and upper bounds of martingale measure densities in continuous time markets, Mathematical Finance 21 (2011) 475–492.https://doi.org/10.1111/j.1467-9965.2010.00442.xGoogle Scholar
  17. H. Föllmer, A. Schied: Stochastic Finance: An Introduction in Discrete Time, second edition, De Gruyter Studies in Mathematics 27, De Gruyter, Berlin, (2002).https://doi.org/10.1515/9783110198065Google Scholar
  18. M. Frittelli, E. Rosazza Gianin: Putting order in risk measures, J. Banking and Finance 26 (2002) 1473–1486.https://doi.org/10.1016/S0378-4266(02)00270-4Google Scholar
  19. B. Fuchssteiner, W. Lusky: Convex Cones, North Holland, Amsterdam (1981).Google Scholar
  20. J. Neveu: Discrete Parameter Martingales, North Holland, Amsterdam (1974).Google Scholar
  21. R. T. Rockafellar: Conjugate duality and optimization, SIAM, Philadelphia (1974).https://doi.org/10.1137/1.9781611970524Google Scholar

J. Bion-Nadal, G. Di Nunno. “Representation of Convex Operators and their Static and Dynamic Sandwich Extensions.” Journal of Convex Analysis 24 (2017), No. 4, 1375–1405. https://doi.org/10.68381/jca24079