Liquidity Mismatch Helps Predict Bank Failure and Distress

Liquidity mismatch compares the saleability (liquidity) of a bank’s assets to the stability of its funding. Assets such as cash and Treasury bonds are highly saleable and one can expect a ready market even in times of crisis. Residential mortgages are less liquid, but still saleable at a discount, while development and construction loans may prove unsaleable at any price when the market is under stress.

In terms of funding, long-term deposits offer stability but are far more expensive than short-term wholesale sources and call deposits. The latter, however, are highly unstable and were instrumental in the collapse of Northern Rock (UK) and Washington Mutual (US) during the global financial crisis (GFC).

The challenge facing bank regulators is to monitor liquidity mismatch to ensure bank health. The more illiquid and speculative the assets are, the more stable (illiquid) the bank’s funding sources must be to avoid a liquidity crisis during a market down-turn.

Liquidity mismatch =
(Liquidity-weighted liabilities – Liquidity-weighted assets) / Total assets

This paper by J.B. Cooke, Christoffer Koch and Anthony Murphy at the Dallas Fed (Liquidity Mismatch Helps Predict Bank Failure and Distress) suggests that large banks suffer from higher levels of liquidity mismatch and that liquidity mismatch is as important as capital ratios in determining bank health:

Precrisis Rise in Mismatch
Liquidity mismatch rose significantly between 2002 and 2007. The median level of mismatch climbed about 6 percentage points. Most of this rise was driven by changes in liquidity-weighted assets rather than liquidity-weighted liabilities. Banks pursued higher returns on riskier, less-liquid assets. To a lesser extent, banks relied less on stable core deposits and more on “unstable” wholesale funding. The rise in liquidity mismatch before the financial crisis is noteworthy because equity capital (as a percentage of assets)—the ultimate buffer against losses—changed little. The rise in mismatch was faster and more persistent at the largest banks, representing the top 25 percent of institutions (Chart 2). Among those banks, the median mismatch rose about 8.5 percentage points between 2002 and 2007, while at the 25 percent representing the smallest banks, the increase was only 3 percentage points.

Early-Warning Sign?
Bank regulators look for early-warning signs of distress. Is liquidity mismatch one? Comparing the fourth quarter 2007 mismatch levels of commercial banks that failed or became distressed in 2008 or 2009 with those that did not may provide an indication. The average levels of liquidity mismatch for the two groups were significantly different. Failed or distressed banks generally had much higher levels of liquidity mismatch, as shown by the final entry in the liquidity mismatch row of Table 1.

Liquidity Mismatch

While the timing of the changes in liquidity mismatch (as seen in Chart 2) and the difference in levels of mismatch at any one time (as seen in Table 1) suggest that liquidity mismatch is important, they do not necessarily imply that a rise in liquidity mismatch helps predict future bank failure or distress. Higher levels of liquidity mismatch may be correlated with lower levels of equity capital and higher proportions of brokered deposits and construction and land development loans as well as with nonperforming assets or lower returns on assets—all well-known predictors of failure or distress.

Modeling Failure and Distress
Statistical models were used to disentangle the effects of changes in liquidity mismatch from the effects of changes in equity capital and the other predictors of bank failure and distress between 2006 and 2011.9 This period was chosen because it followed a time when there were very few failures or cases of distress, the early 2000s. Failure or distress up to two years ahead was considered. For example, fourth quarter 2007 data were used to predict failure or distress any time in 2008.10 The results suggest that recent failure and distress rates are explained or predicted by many of the same factors as in 1985–92, when large numbers of commercial banks and savings and loans failed. These factors include too little equity capital, a high ratio of nonperforming assets and a high share of construction and land development lending……

Liquidity Mismatch Matters
Liquidity mismatch rose significantly before the financial crisis, especially at large banks, our research shows. The rise in mismatch contributed to the rise in bank failures and cases of distress. Liquidity mismatch helps predict bank failure or distress one year ahead, even accounting for equity capital and the other indicators at which regulators look.

Cooke is an economic analyst, Koch is a research economist and Murphy is an economic policy advisor and senior economist in the Research Department of the Federal Reserve Bank of Dallas.

Hat tip to Barry Ritholz.

T-Bonds Burn, RBA Minutes Next

From Adam Button on AshrafLaidi.com:

…..The direction of the bond market in recent weeks has been a major driver but what was notable on Monday was the divergence. Bund yields were up 2.5 basis points while 10-year Treasury yields were up 9 bps.

This might be the start of a new stage for bonds. In the rout, everything was being thrown overboard but now market participants are looking through the wreckage to decide what’s worth keeping. Ultimately, the ECB is still buying 60 billlion euros of bonds per month and that may keep bund yields pinned, at least relatively.

Read more at T-Bonds Burn, RBA Minutes Next.

ASX 200: Support or resistance?

ASX 200 support at 5750, 5650 or 5550: which is most relevant? Judging by some of the questions received, I succeeded in confusing a number of readers. Here is a brief summary:

  • 5750 acted as medium-term support until the beginning of May, when breach of 5750 and the rising trendline warned of a correction.
  • 5750 transformed into medium-term resistance and penetration would suggest the correction is over.
  • There is a strong band of support between the two recent (2014) highs of 5650 and 5550.
  • Breach of this band (i.e. below 5550) would indicate a test of primary support at 5120.
  • Respect (i.e. 5550 intact) would provide a solid base for a rally and a further (primary) advance if resistance at 6000 is broken.

Mild decline of 13-week Twiggs Money Flow suggests medium-term selling pressure — not a reversal. Recovery above 5750 remains more likely than breach of 5550.

ASX 200

* Target calculation: 6000 + ( 6000 – 5750 ) = 6250

Asian stocks

The Shanghai Composite is consolidating between 4000 and 4500. Breach of either of these levels would signal future direction. Declining 13-week Twiggs Money Flow warns of medium-term selling pressure, favoring the downside.

Shanghai Composite Index

* Target calculation: 3500 + ( 3500 – 2500 ) = 4500

Short retracement on Japan’s Nikkei 225 Index is a bullish sign. Breakout above 20000 would offer a target of 22000*. Declining 13-week Twiggs Money Flow reflects medium-term selling pressure; recovery above the descending trendline would be a bullish sign.

Nikkei 225 Index

* Target calculation: 20000 + ( 20000 – 18000 ) = 22000

India’s Sensex found support between 26500 and 27000. Long tails suggest medium-term buying pressure. Recovery above 28000 and the descending trendline would suggest another attempt at 30000. But 13-week Twiggs Money Flow remains below zero, warning of (long-term) selling pressure. Another peak below zero would warn of breach of primary support and a reversal.

SENSEX

European stocks

Germany’s DAX encountered support above 11000. Penetration of the descending trendline would indicate the correction is over and follow-through above 12000 would suggest a primary advance. Declining 13-week Twiggs Money Flow warns of continued selling pressure and a further test of 11000, but respect of support remains likely and would provide a solid base for further advances.

DAX

The Footsie also displays long tails, suggesting medium-term buying support, but declining 13-week Twiggs Money Flow indicates continued selling pressure. Breach of 6900 would warn of a correction to 6700, but further losses are unlikely at present. Recovery above 7100 would confirm the long-term breakout, offering a target of 8000*.

FTSE 100

* Target calculation: 7000 + ( 7000 – 6000 ) = 8000

Long-tailed candles: North America

Stocks are recovering from their recent soft patch and breakout above resistance is likely, signaling further gains.

The S&P 500 is testing medium-term resistance at 2120. Breakout would signal an advance to 2200*. Three weekly candles with long tails reflect medium-term buying pressure, while a 13-week Twiggs Money Flow trough high above zero indicates long-term pressure. Retracement that respects the new support level at 2100 would further strengthen the bull signal.

S&P 500 Index

* Target calculation: 2120 + ( 2120 – 2040 ) = 2200

CBOE Volatility Index (VIX) at 12 indicates low risk typical of a bull market.

S&P 500 VIX

Dow Jones Industrial Average is testing resistance at 18300. Buying pressure appears similar to the S&P 500 and breakout would offer a target of 19000*.

Dow Jones Industrial Average

* Target calculation: 18300 + ( 18300 – 17600 ) = 19000

Canada’s TSX 60 found support at 870. 13-Week Twiggs Momentum holding above zero continues to indicate a primary up-trend. Breakout above 900 would offer a long-term target of 1000*.

TSX 60 Index

* Target calculation: 900 + ( 900 – 800 ) = 1000

China: Cement Production

Lowest cement production in more than 10 years reflects the decline in infrastructure investment. Not good news for Australian resources stocks. Where cement production goes, iron ore and coal are likely to follow.

US GDP: Where is it headed?

I originally got this from Matt Busigin (I think). Average Hourly Earnings multiplied by Average Weekly Hours (Total Private: Nonfarm) gives a pretty good indication of where GDP is headed, well ahead of the BEA accounts.

Nominal GDP compared to Average Hourly Earnings of All Employees (Total Private) multiplied by Average Weekly Hours (Total Private Nonfarm)

Remember this is nominal GDP, so the latest (April 2015) figure of 4.38% would need to be adjusted for inflation. Inflation is somewhere between 0.5% and 1.75% depending on how you measure it. The GDP deflator looks like it will come in below 1.0% which would leave us with real GDP of at least 3.38% p.a.

GDP Price Deflator compared to Core CPI

Federal budget 2015: worst cumulative deficits in 60 years | Chris Joye

Chris Joye (AFR) on the budget deficit:

There are two critical differences in 2015 that make Australia’s current debt burden [42.2% of GDP] much more troubling than that serviced by previous generations. Back in the 1977 and 1983 recessions, the household debt-to-income ratio was only 34 per cent and 37 per cent, respectively. Even in the 1991 recession, it was just 48 per cent, which is one reason why home loan arrears were so benign. Yet by 2015, the household debt-to-income ratio had jumped 3.2 times to an incredible 154 per cent, which is above its pre-GFC climax because families haven’t deleveraged….

Public Debt to GDP and Household Debt to Income

Public and private debt levels are important to our economic health, but where the money is borrowed domestically it is far less serious than when it is borrowed offshore. In the former case, net debt in the economy is effectively zero — one sector runs a surplus while the other runs a deficit — but where money is borrowed offshore, the nation as a whole becomes a net debtor. Which is why short-term borrowing in international markets by Australian banks — used to fund the housing bubble in the run up to the GFC — was so dangerous.

From Greg McKenna (House & Holes) at Macrobusiness:

“….The funding gap is estimated to be $600 billion. In a speech on Friday, Westpac deputy chief executive Phil Coffey cited research from PwC which estimated the gap could grow to $1.325 trillion if there was a pick-up in credit growth.”

Here is the latest chart from the RBA showing the rising borrowing, it’s quarterly and likely lagging:

International Liabilities of Australian Banks

Notice how the article is focused entirely upon the “funding gap” as a tactical challenge in which the banks are innocent players. In reality there is no “funding gap”. Rather, our financial system is addicted to unproductive mortgage-lending and that crowds out the kind of business lending that would generate income growth and local savings. The “funding gap” is created by the banks not serviced by them.

International borrowing to fund a domestic property bubble is double trouble.

Read more at Federal budget 2015: worst cumulative deficits in 60 years | afr.com.

And at Macrobusiness: Australia ramps the risk as banks borrow abroad

S&P 500 Ichimoku Cloud

The S&P 500 has struggled to break resistance at 2120 since February, but weekly Ichimoku Cloud continues to show a strong primary up-trend, with Tenkan-sen (blue) and Kijun-sen (red) above a long green cloud and Tenkan-sen respecting Kijun-sen since December 2012.

S&P 500 Index Ichimoku Cloud

Long tails on the last two completed candles suggest short-term support, while 13-Week Twiggs Money Flow floating above the zero line indicates strong long-term buying pressure.

S&P 500 Index