General

Authors

Search


Committee login



 
 

 


 

 

Forthcoming

Small thumbnail

Secure Connected Objects

Small thumbnail

Banach, Fréchet, Hilbert and Neumann Spaces

Analysis for PDEs Set – Volume 1

Small thumbnail

Semi-Markov Migration Models for Credit Risk

Stochastic Models for Insurance Set – Volume 1

Small thumbnail

Human Exposure to Electromagnetic Fields

From Extremely Low Frequency (ELF) to Radio Frequency

Small thumbnail

Enterprise Interoperability

INTEROP-PGSO Vision

Small thumbnail

Data Treatment in Environmental Sciences

Multivaried Approach

Small thumbnail

From Pinch Methodology to Pinch-Exergy Integration of Flexible Systems

Thermodynamics – Energy, Environment, Economy Set

Small thumbnail

Exterior Algebras

Elementary Tribute to Grassmann's Ideas

Small thumbnail

Nonlinear Theory of Elastic Plates

Small thumbnail

Cognitive Approach to Natural Language Processing

Small thumbnail

Asset and Liabilities Management for Banks and Insurance Companies

Marine Corlosquet-Habart, University of West Brittany, Brest, France William Gehin, Consultant Jacques Janssen, Solvay Business School, Brussels, Belgium Raimondo Manca, University of Roma, Italy

ISBN: 9781848218833

Publication Date: August 2015   Hardback   166 pp.

95.00 USD


Add to cart

eBooks


Ebook Ebook

Description

In the current financial climate, Asset and Liability Management (ALM) has become a cornerstone of Risk Management for banks and insurance companies. ALM constitutes a continuous management process that supplies financial strategies to firms for management of their assets and liabilities. This method aims to aid companies in achieving their financial goals within predefined constraints and understanding the risks involved.
This book introduces ALM in the context of banks and insurance companies. Although this strategy has a core of fundamental frameworks, models may vary between banks and insurance companies because of the different risks and goals involved. The authors compare and contrast these methodologies to draw parallels between the commonalities and divergences of these two services and thereby provide a deeper understanding of ALM in general.
This discussion is of interest to financial and risk managers of insurance companies and banks, particularly dealing with ORSA (Own Risk Solvency Assessment) techniques, economy students or masters and people involved in Solvency II for insurance companies and in Basel II and III for banks.

Contents

1. Definition of ALM in the Banking and Insurance Areas.
2. Risks Studied in ALM.
3. Durations (Revisited) and Scenarios for ALM.
4. Building and Use of an ALM Internal Model in Insurance Companies.
5. Building and Use of ALM Internal Models in Banks.

About the Authors

Marine Corlosquet-Habart is a certified actuary and co-director of EURIA (Euro-Institut d’Actuariat, University of West Brittany, Brest, France). She teaches at EURIA, Telecom Bretagne and Ecole Centrale Paris (France). Her main research interests are pandemics, Solvency II internal models and ALM issues for insurance companies.
William Gehin is a graduate engineer and actuary with risk management experience in both banking (Rothschild, HSBC) and insurance (BNP Paribas Cardif). His actuary dissertation concerned the management of extreme financial risks and received two international prizes (FFSA and AFGAP-PRMIA prize).
Jacques Janssen is Honorary Professor at the Solvay Business School (ULB) in Brussels, Belgium, having previously taught at EURIA (Euro-Institut d’Actuariat, University of West Brittany, Brest, France) and Telecom Bretagne (Brest, France) as well as being a director of Jacan Insurance and Finance Services, a consultancy and training company.
Raimondo Manca is Professor of mathematical methods applied to economics, finance and actuarial science at the University of Rome in Italy. His main research interests are multidimensional linear algebra, computational probability, the application of stochastic processes to economics, finance and insurance and simulation models.

Downloads

DownloadTable of Contents - PDF File - 115 Kb

Related Titles



































0.02234 s.