* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Discussion
Survey
Document related concepts
Household debt wikipedia , lookup
Systemic risk wikipedia , lookup
United States housing bubble wikipedia , lookup
Securitization wikipedia , lookup
Fractional-reserve banking wikipedia , lookup
Financial economics wikipedia , lookup
Syndicated loan wikipedia , lookup
Bank of England wikipedia , lookup
Public finance wikipedia , lookup
Interest rate ceiling wikipedia , lookup
Financial Crisis Inquiry Commission wikipedia , lookup
Systemically important financial institution wikipedia , lookup
Transcript
Norges Bank Financial Stability HOUSEHOLD EXTERNAL FINANCE AND CONSUMPTION Timothy J. Besley, London School of Economics (LSE) and CEPR Neil Meads, Bank of England Paolo Surico, Bank of England Comments from a practitioner: Bjørn H. Vatne, Financial Stability, Norges Bank Bjørn H. Vatne 1 Norges Bank Financial Stability HOUSEHOLD EXTERNAL FINANCE AND CONSUMPTION • Hypothesis: – terms on which households access to external finance matters for consumption • Method: – a theoretical motivation for a risk premium for risky borrowers – define first time buyers with little collateral as risky borrowers – estimate what premium these borrowers are asked to pay in the mortgage market – construct an HEF-index based on the spread paid by risky borrowers from mortgage data – analyse the correlation between consumption growth and HEF-index with regressions • aggregate and cohort levels • Conclusion – the index is robustly correlated with consumption growth between 1975 and 2005 Bjørn H. Vatne 2 Norges Bank Financial Stability The analysis relies on two critical points 1 The index captures the important changes in the terms that the households faces in the credit market 2 There is a causality between the conditions in the credit marked (index) and household consumption Bjørn H. Vatne 3 Norges Bank Financial Stability Which factors affect credit risk in households? BANKS • Probability of default: margin = income – tax – basic living expenses – (interest rate + repayment rate)*loan – negative margin: debt at risk • Loss given default: Loan/value • Bank decision: Loan/ no loans • probability of default Size of loan and interest • loss given default • Are young first time buyers risky? HOUSEHOLDS • Margin can be used to consumption and non repayment savings • Consumption depends on the saving rate of all households • How the interest rates of risky households affect the consumption of other households? – trough house prices? Bjørn H. Vatne 4 Norges Bank Financial Stability It would be interesting to know… • how the HEF index relate to other indictors of credit rationing? – Credit Conditions Surveys – Loan to income, Loan to value indicators • how changes in the economy affect the HEF index – bank stress – house prises – uemployment Bjørn H. Vatne 5 Norges Bank Financial Stability Do the HEF-index predict consumption falls? • • • We would expect a delay between credit rationing and consumption fall? Causality tests? Or is there an underlying factor (economic expectations) that drives both series? Bjørn H. Vatne 6 Norges Bank Financial Stability Summing up • Understanding the connection between terms in the credit market and consumption is important to – monetary policy and financial stability – understand financial accelerators • Access to timely micro data is necessary to identify the groups of households that drives the dynamics • A suggestion – – – – credit terms of first home buyers – house prices house prices – saving rate of home owners households with small margins – credit risk households consumption – credit risk firms Bjørn H. Vatne 7