Martingale theory

Results: 145



#Item
41Superreplication under Model Uncertainty in Discrete Time

Superreplication under Model Uncertainty in Discrete Time

Add to Reading List

Source URL: www.math.columbia.edu

Language: English - Date: 2013-01-15 20:16:08
42Empirical Likelihood Estimation of Continuous-Time Models With Conditional Moment Restrictions

Empirical Likelihood Estimation of Continuous-Time Models With Conditional Moment Restrictions

Add to Reading List

Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-15 18:23:39
43Suspense and Surprise  Jeffrey Ely Northwestern University  Alexander Frankel

Suspense and Surprise Jeffrey Ely Northwestern University Alexander Frankel

Add to Reading List

Source URL: faculty.chicagobooth.edu

Language: English - Date: 2015-03-13 13:50:28
44Basic Notions of Event History Analysis G. Rohwer U. P¨ otter  July 2009

Basic Notions of Event History Analysis G. Rohwer U. P¨ otter July 2009

Add to Reading List

Source URL: www.stat.ruhr-uni-bochum.de

Language: English - Date: 2014-02-26 08:39:04
45Suspense and Surprise  Jeffrey Ely Northwestern University  Alexander Frankel

Suspense and Surprise Jeffrey Ely Northwestern University Alexander Frankel

Add to Reading List

Source URL: faculty.chicagobooth.edu

Language: English - Date: 2015-03-05 15:44:38
46Institute for Economic Studies, Keio University Keio-IES Discussion Paper Series Local risk-minimization for Barndorff-Nielsen and Shephard models Takuji Arai Ryoichi Suzuki

Institute for Economic Studies, Keio University Keio-IES Discussion Paper Series Local risk-minimization for Barndorff-Nielsen and Shephard models Takuji Arai Ryoichi Suzuki

Add to Reading List

Source URL: ies.keio.ac.jp

Language: English - Date: 2015-04-17 06:41:32
47Week 5: Expected value and Betting systems Random variable A random variable represents a ”measurement” in a random experiment. We usually denote random variable with capital letter X, Y, · · · . If S is the sampl

Week 5: Expected value and Betting systems Random variable A random variable represents a ”measurement” in a random experiment. We usually denote random variable with capital letter X, Y, · · · . If S is the sampl

Add to Reading List

Source URL: people.math.umass.edu

Language: English - Date: 2013-03-03 21:44:11
48Finance without Probabilistic Prior Assumptions Frank Riedel∗ Institute of Mathematical Economics Bielefeld University July 6, 2011

Finance without Probabilistic Prior Assumptions Frank Riedel∗ Institute of Mathematical Economics Bielefeld University July 6, 2011

Add to Reading List

Source URL: www.parisschoolofeconomics.eu

Language: English - Date: 2012-12-19 16:23:44
49Counting Processes for Retail Default Modeling Nicholas M. Kiefer and C. Erik Larson CREATES Research PaperDepartment of Economics and Business Aarhus University

Counting Processes for Retail Default Modeling Nicholas M. Kiefer and C. Erik Larson CREATES Research PaperDepartment of Economics and Business Aarhus University

Add to Reading List

Source URL: pure.au.dk

Language: English - Date: 2015-04-28 09:41:00
50A Martingale Decomposition of Discrete Markov Chains Peter Reinhard Hansen CREATES Research PaperDepartment of Economics and Business Aarhus University

A Martingale Decomposition of Discrete Markov Chains Peter Reinhard Hansen CREATES Research PaperDepartment of Economics and Business Aarhus University

Add to Reading List

Source URL: pure.au.dk

Language: English - Date: 2015-04-28 07:38:00