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Låntagarbaserade åtgärders effekt på hushållens finansiella motståndskraft i Sverige

Söderberg, Axel LU (2024) NEKH02 20232
Department of Economics
Abstract (Swedish)
This thesis examines the effectiveness of macroprudential borrower-based measures such as
loan-to-value caps and amortization requirements on household financial resilience
represented by debt, savings, and real-house prices in Sweden. The model that is used is a
Structural Vector autoregressive (SVAR) with a forecasted error decomposition to expand on
the current literature on the subject with a perspective on how a response in one variable is
connected to an impulse from another variable. The evidence from the results of this study is
not sufficient enough to draw a conclusion on borrower-based measures effect on household
resilience.
Please use this url to cite or link to this publication:
author
Söderberg, Axel LU
supervisor
organization
course
NEKH02 20232
year
type
M2 - Bachelor Degree
subject
keywords
SVAR, Macroprudential measures, household resilience
language
Swedish
id
9150804
date added to LUP
2024-04-16 09:26:58
date last changed
2024-04-16 09:26:58
@misc{9150804,
  abstract     = {{This thesis examines the effectiveness of macroprudential borrower-based measures such as 
loan-to-value caps and amortization requirements on household financial resilience 
represented by debt, savings, and real-house prices in Sweden. The model that is used is a 
Structural Vector autoregressive (SVAR) with a forecasted error decomposition to expand on 
the current literature on the subject with a perspective on how a response in one variable is 
connected to an impulse from another variable. The evidence from the results of this study is 
not sufficient enough to draw a conclusion on borrower-based measures effect on household 
resilience.}},
  author       = {{Söderberg, Axel}},
  language     = {{swe}},
  note         = {{Student Paper}},
  title        = {{Låntagarbaserade åtgärders effekt på hushållens finansiella motståndskraft i Sverige}},
  year         = {{2024}},
}