EconPapers    
Economics at your fingertips  
 

BSDS—Balance Sheet Dynamics Simulator (Application ABM)

Volker Liermann () and Harro Dittmar
Additional contact information
Volker Liermann: ifb SE
Harro Dittmar: ifb SE

A chapter in The Digital Journey of Banking and Insurance, Volume I, 2021, pp 137-159 from Springer

Abstract: Abstract Disrupting events like COVID-19, climate change or new competitors (e.g., GAFAM) can permanently change the structure of a bank’s balance sheet and the bank’s risk profile. Agent-based modeling (ABM) is a versatile, interdisciplinary bottom-up approach that can be used to consider such effects in dynamic simulations of the balance sheet development. The authors present a concept for an agent-based model that simulates the effects of macroeconomic scenarios and competitive boundaries on the balance sheet dynamics of banks. An implementation of such a model could be used to explore stylized balance sheet developments over time and thereby provide a valuable planning tool for qualitative and quantitative risk management.

Keywords: Balance sheet; Agent-based modeling; ABM; Balance sheet dynamics; Balance sheet development; Credit risk (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-78814-8_9

Ordering information: This item can be ordered from
http://www.springer.com/9783030788148

DOI: 10.1007/978-3-030-78814-8_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-06-16
Handle: RePEc:spr:sprchp:978-3-030-78814-8_9