Articles

Characterizations of Smooth Ambiguity Based on Continuous and Discrete Data

S. MINARDI, Andrei SAVOCHKIN

Mathematics of Operations Research

février 2017, vol. 42, n°1, pp.167 - 178

Départements : Economie et Sciences de la décision

Mots clés : smooth ambiguity; variational preferences; revealed preference; completely monotone functions; Afriat inequalities; moment problem


In the Anscombe-Aumann setup, we provide conditions for a collection of observations to be consistent with a well-known class of smooth ambiguity preferences (Klibanoff P, Marinacci M, Mukerji S (2005) A smooth model of decision making under ambiguity. Econometrica 73(6):1849–1892.). Each observation is assumed to take the form of an equivalence between an uncertain act and a certain outcome. We provide three results that describe these conditions for data sets of different cardinality. Our findings uncover surprising links between the smooth ambiguity model and classic mathematical results in complex and functional analysis.

Climate Change Assessments: Confidence, Probability, and Decision

Richard Bradley, Casey Helgeson, B. HILL

Philosophy of Science

juillet 2017, vol. 84, n°3, pp.500-522

Départements : Economie et Sciences de la décision, GREGHEC (CNRS)

http://www.journals.uchicago.edu/doi/pdfplus/10.1086/692145#fn2


The Intergovernmental Panel on Climate Change has developed a novel framework for assessing and communicating uncertainty in the findings published in its periodic assessment reports. But how should these uncertainty assessments inform decisions? We take a formal decision-making perspective to investigate how scientific input formulated in the IPCC’s novel framework might inform decisions in a principled way through a normative decision model

Regularized Generalized Canonical Correlation Analysis: A Framework for Sequential Multiblock Component Methods

M. TENENHAUS, A. TENENHAUS, P. J. F. GROENEN

Psychometrika

septembre 2017, vol. 82, n°3, pp.737-777

Départements : Economie et Sciences de la décision

Mots clés : consensus PCA, hierarchical PCA, MAXBET, MAXDIFF, MAXVAR, multiblock component methods, PLS path modeling, GCCA, RGCCA, SSQCOR, SUMCOR

https://link.springer.com/article/10.1007/s11336-017-9573-x


A new framework for sequential multiblock component methods is presented. This framework relies on a new version of regularized generalized canonical correlation analysis (RGCCA) where various scheme functions and shrinkage constants are considered. Two types of between block connections are considered: blocks are either fully connected or connected to the superblock (concatenation of all blocks). The proposed iterative algorithm is monotone convergent and guarantees obtaining at convergence a stationary point of RGCCA. In some cases, the solution of RGCCA is the first eigenvalue / eigenvector of a certain matrix. For the scheme functions x, |x|, x2 or x4 and shrinkage constants 0 or 1, many multiblock component methods are recovered

Risk-Based Capital Requirements for Banks and International Trade

B. DEMIR-PAKEL, T. K. MICHALSKI, E. ORS

Review of Financial Studies

novembre 2017, vol. 30, n°11, pp.3970-4002

Départements : Economie et Sciences de la décision, GREGHEC (CNRS), Finance

https://academic.oup.com/rfs/article/30/11/3970/3954037


We test the trade finance channel of exports by controlling for the bank credit channel. Using Turkey’s July 2012 adoption of Basel II as a quasi-natural experiment, we examine whether shocks to trade financing costs affect exports. With data for 16,662 Turkish exporters shipping 2,888 different products to 158 countries, we find that the share of letters-of-credit-based exports decreases (increases) when the associated risk weights for counterparty exposure increase (decrease) after the adoption of Basel II. However, growth of firm-product-country-level exports remains unaffected. Trade financing might have a lesser role in exports than previously suggested by the previous literature. © The Author 2017. Published by Oxford University Press on behalf of The Society for Financial Studies


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