“…However, since I do not know the distribution of customers across different service packages, the "average fee" assumption used in this study is a natural starting point. Furthermore, switching costs per account balance reported in this study are in line with the ones in Shy (2002) and lower than in Silva and Lucinda (2017), supporting the meaningfulness of the estimated costs. Also, it is comforting that the increase in switching costs appears to be matched by an equal reduction in the average mortgage margin.…”
Section: Robustnesssupporting
confidence: 83%
“…Silva and Lucinda (2017) use a different method -the one developed by Kim et al (2003) -to estimate switching costs in the Brazilian deposit markets. In the most comparable set up to mine, Silva and Lucinda (2017) report that switching costs faced by the depositors of the largest Brazilian banks range from 26% to 30% relative to average deposit account balance, which is even a higher figure than here.…”
Section: Resultsmentioning
confidence: 51%
“…Their method uses bank accounting data, and is applied to deposit markets at least by Silva and Lucinda (2017). Silva and Lucinda (2017) report even higher estimates of switching costs relative to deposit account balance than in this study.…”
I calibrate the switching cost for the Finnish retail deposit market by using the approach developed by Oz Shy (2002). It
turns out that switching costs faced by deposit customers of the main Finnish banks manifest large variation and are high,
ranging from 200 euros to nearly 1,400 euros. Over a 20-year period, switching costs have increased by roughly 50% in
real terms, but in relation to average account balance, switching costs have not essentially changed. Changes and differences
in the banks’ competitive strategies might explain the variation in switching costs across time and banks.
“…However, since I do not know the distribution of customers across different service packages, the "average fee" assumption used in this study is a natural starting point. Furthermore, switching costs per account balance reported in this study are in line with the ones in Shy (2002) and lower than in Silva and Lucinda (2017), supporting the meaningfulness of the estimated costs. Also, it is comforting that the increase in switching costs appears to be matched by an equal reduction in the average mortgage margin.…”
Section: Robustnesssupporting
confidence: 83%
“…Silva and Lucinda (2017) use a different method -the one developed by Kim et al (2003) -to estimate switching costs in the Brazilian deposit markets. In the most comparable set up to mine, Silva and Lucinda (2017) report that switching costs faced by the depositors of the largest Brazilian banks range from 26% to 30% relative to average deposit account balance, which is even a higher figure than here.…”
Section: Resultsmentioning
confidence: 51%
“…Their method uses bank accounting data, and is applied to deposit markets at least by Silva and Lucinda (2017). Silva and Lucinda (2017) report even higher estimates of switching costs relative to deposit account balance than in this study.…”
I calibrate the switching cost for the Finnish retail deposit market by using the approach developed by Oz Shy (2002). It
turns out that switching costs faced by deposit customers of the main Finnish banks manifest large variation and are high,
ranging from 200 euros to nearly 1,400 euros. Over a 20-year period, switching costs have increased by roughly 50% in
real terms, but in relation to average account balance, switching costs have not essentially changed. Changes and differences
in the banks’ competitive strategies might explain the variation in switching costs across time and banks.
“…According to the traditional view, the analytical methods created for corporate clients based on symmetric information focusing on the effi ciency of production may also be applied to the banking sector. Whereas in models focusing on bank's market position, banks intentionally keep the transfer costs at a relatively high level distorting the savings and investment decision of the lenders and creditors [Várhegyi, 2003;Silva, Lucindab, 2017]. Costs deriving from the lack of competition emerge as social (welfare) loss, which may add up to a considerable amount [Oxenstiema, 1999].…”
The paper aims to describe how the amount of retail customers' bank deposits has changed as a result of launching the fi nancial transaction tax in Hungary. The liquidity premium related to all bank deposits off ered by Hungarian banks will be analysed and its amount will be calculated from the transfer costs on the supply side. The objective of the research is to measure liquidity premium at sector level. When analysing the liquidity premium, both the size of the invested amount and duration of the deposit are tackled. Since the size of liquidity premium may considerably aff ect competition on the market, the paper tries to model this relationship and estimate the value of the corresponding parameters.
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