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Monthly credit from and deposits in Swedish commercial banks, 1875-2020

Published online by Cambridge University Press:  13 January 2023

Lars Ahnland*
Affiliation:
Stockholm University
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Abstract

Since the global financial crisis in 2008, there has been an elevated interest in private debt and as a macroeconomic variable. In light of the lack of high-frequency data, this study presents a unique monthly time series dataset on credit from and deposits in Swedish commercial banks from 1875 to 2020, covering 1,752 monthly observations and most of Swedish commercial banking history. In a first application, the study examines to what extent money in Sweden has been exogenous, created independently of demand by the central bank, or endogenous, created in response to demand by commercial banks, during different institutional settings. The results, derived via cointegration and impulse-response functions, show that though the relationship between deposits and credit has changed over time, both theories often hold validity simultaneously. While changes in deposits often have had significant impact on credit, the opposite has also been true. There are, however, differences between different regulatory regimes, as well as for different groups of banks.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of the European Association for Banking and Financial History
Figure 0

Table 1. Periodisation

Figure 1

Figure 1. Lending and borrowing, monthly 1875–2020Source: see the text.

Figure 2

Table 2. Variants of lncredit as dependent variable, long-run coefficients

Figure 3

Table 3. Variants of lndeposits as dependent variable, long-run coefficients

Figure 4

Figure 2. IRF 1875–1903

Figure 5

Figure 3. IRF 1875–1913

Figure 6

Figure 4. IRF 1919–38

Figure 7

Figure 5. IRF 1950–79

Figure 8

Figure 6. IRF 1980–94

Figure 9

Figure 7. IRF 1995–2020

Figure 10

Figure 8. IRF 1875–1903

Figure 11

Figure 9. IRF 1875–1903

Figure 12

Figure 10. IRF 1998–2020Notes: Figures 2a–10b: the y-axis denotes standard errors and the x-axis denotes months. Grey area equals 90 per cent confidence interval and dark coloured line equals point estimate.

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