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Demand Deposits: Valuation and Interest Rate Risk Management
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Entrepreneurship and innovation.
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Entrepreneurship and innovation.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Avistakonton : Värdering och Ränteriskhantering (Swedish)
Abstract [en]

In the aftermath of the financial crisis of 2008, regulatory authorities have implemented stricter policies to ensure more prudent risk management practices among banks. Despite the growing importance of demand deposits for banks, no policies for how to adequately account for the inherent interest rate risk have been introduced. Demand deposits are associated with two sources of uncertainties which make it difficult to assess its risks using standardized models: they lack a predetermined maturity and the deposit rate may be changed at the bank’s discretion. In light of this gap, this study aims to empirically investigate the modeling of the valuation and interest rate risk of demand deposits with two different frameworks: the Economic Value Model Framework (EVM) and the Replicating Portfolio Model Framework (RPM). To analyze the two frameworks, models for the demand deposit rate and demand deposit volume are developed using a comprehensive and novel dataset provided by one the biggest commercial banks in Sweden. The findings indicate that including macroeconomic variables in the modeling of the deposit rate and deposit volume do not improve the modeling accuracy. This is in contrast to what has been suggested by previous studies. The findings also indicate that there are modeling differences between demand deposit categories. Finally, the EVM is found to produce interest rate risks with less variability compared to the RPM.

Abstract [sv]

Till foljd av nanskrisen 2008 har regulatoriska myndigheter infort mer strikta regelverk for att framja en sund nansiell riskhantering hos banker. Trots avistakontons okade betydelse for banker har inga regulatoriska riktlinjer introducerats for hur den associerade ranterisken ska hanteras ur ett riskperspektiv. Avistakonton ar forknippade med tva faktorer som forsvarar utvarderingen av dess ranterisk med traditionella ranteriskmetoder: de saknar en forutbestamd loptid och avistarantan kan andras nar sa banken onskar. Med hansyn till detta gap fokuserar denna studie pa att empiriskt analysera tva modelleringsramverk for att vardera och mata ranterisken hos avistakonton: Economic Value Model Framework (EVM) and Replicating Portfolio Model Framework (RPM). Analysen genomfors genom att initialt ta fram modeller for hur avistarantan och volymen pa avistakonton utvecklas over tid med hjalp av ett modernt och unikt dataset fran en av Sveriges storsta kommersiella banker. Studiens resultat indikerar att modellerna for avistarantan och avistavolymen inte forbattras nar makroekonomiska variabler ar inkluderade. Detta ar i kontrast till vad tidigare studier har oreslagit. Vidare visar studiens resultat att det modellerna skiljer sig nar avistakontona ar egmenterade pa en mer granular niva. Slutligen pavisar resultatet att EVM producerar ranteriskestimat som ar mindre kansliga for antanganden an RPM.

Place, publisher, year, edition, pages
2015. , 92 p.
Keyword [en]
demand deposits, interest rate risk, market interest rate, stochastic simulation
Keyword [sv]
avistakonton, ranterisk, marknadsranta, stokastisk simulering, nuvarde, replikerande
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:kth:diva-169463OAI: oai:DiVA.org:kth-169463DiVA: diva2:821427
Educational program
Master of Science in Engineering - Industrial Engineering and Management
Supervisors
Examiners
Available from: 2015-06-16 Created: 2015-06-15 Last updated: 2016-09-02Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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