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Early Warning Indicators FCCC4 by SHIN. Indicator must signal vulnerability to financial turmoil Search for indicators has been: Pragmatic: Focus on procyclicality.

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Presentation on theme: "Early Warning Indicators FCCC4 by SHIN. Indicator must signal vulnerability to financial turmoil Search for indicators has been: Pragmatic: Focus on procyclicality."— Presentation transcript:

1 Early Warning Indicators FCCC4 by SHIN

2 Indicator must signal vulnerability to financial turmoil Search for indicators has been: Pragmatic: Focus on procyclicality of elements in financial system Eclectic: all kinds of factors (external, financial, real & fiscal, political, institutional, contagion) to improve goodness of fit Not trying to link different crisis types, BUT this focus may hide common threads between crises

3 Price-Based Early Warning Indicators Shin: until 2006, no indication of greater vulnerability Lehman bankrupt Sept 2008 Bear Stearns absorbed by JP Morgan March 2008

4 Credit/GDP vs. Trend Measures credit booms, BUT Trend GDP ?? GDP revisions are as large as gap to trend Much lending based on pre- existing lines of credit Credit/GDP rises during crisis as GDP falling Needs to improve: Basel III includes Credit/GDP United Kingdom

5 Shin’s Idea Banks may aggressively make loans using interbank funds (non-core liabilities) Core liabilities (deposits) stable – depositors don’t often withdraw Crisis more likely when banks use greater share of non-core funds Ratio non-core/core shows degree of bank risk-taking (Hahm, Shin and Shin, 2013)

6 Banks Borrow to Lend Barclays expanded assets by issuing either repos or CDs, nearly 1-for-1 Small rise in risk-weighted assets (blue) => Basel- measure of risk doesn’t rise in boom

7 Bank chain now more complex than traditional

8 Repos are short term but whether rolled over or not depends on collateral quality

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10 Relation between liqudity & “coreness” Most dependable source of funds Undependable source of funds Covered bonds: similar to MBS but remain on issuer’s balance sheet

11 Lending Boom and Non-Core Liabilities If bank can’t use retail deposits to fund new loans, it must find other funds Hahm, Shin & Shin: capital inflows to banks: their foreign liabilities predicts both currency & credit crises

12 Hahm, Shin and Shin (2012): Non-core measures indicate currency crises Dependent variable: Currency crisis dummy Similar results show non-core variables significantly related to dummy variables for: Credit crisis Equity crisis

13 Which Liabilities are Non-core ? Find most pro-cyclical liability, may differ for different nations Developed economies: wholesale funding, sometimes foreign- denominated Korea (open capital market): wholesale funding China: corporate time deposits

14 Look for procyclicality to mark as “non-core”

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16 Won Depreciation To settle previous $ borrowings, Korean banks need $, so sell Won for $ => Won depreciates Depreciation NOT caused by equity investors fleeing Korea

17 As non-core/core rises, Won per $ rises (i.e. won depreciates) Won per $

18 Non-core/core Similar to Credit/M1 Shin and Shin (2011) Borio and Lowe’s credit/M1 ratio also indicates financial stability: As banks shift from deposits (M1) to wholesale funds, credit/M1 rises (like non-core/core ratio) Bank wholesale’s Credit/M1 rises infinitely Bank Retail’s Credit/M1 rises

19 M1, M2 Poorly Indicate Financial Sector Liabilities; Shin & Shin (2011) M1 or M2 ignores risk in investment banks which don’t create deposits (and thus M1 or M2) M1 or M2 measure ignores that banks hold non-core deposits (non- money), e.g. liabilities to foreign creditors

20 Shin and Shin (2011) Regressions: Growth in non-core liabilities forecasts future depreciation Positive relation (more non-core => higher bank interest rates vs. risk-free rate) Non-core/GDP Spread: AAA-banks’ rate to risk-free

21 Conclusions Market P can only warn on concurrent market conditions, not in advance Credit/GDP is better, will be used in Basel III May not be useful in real time (GDP subject to data revisions) May not be applied uniformly across countries (Bank liability / M stock) approach promising like Credit/GDP but better in real time Link it to specific institutions of nation Include liabilities to other fin’l intermediaries (usually omitted)


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