Gold breaks $1180 support

Core CPI continues to track close to the Fed target of 2.0 percent (CPI All Items is distorted by falling oil prices).

CPI and Core CPI

Long-term interest rates are in a primary up-trend, with 10-year Treasury note yields breakout above resistance at 2.25% offering a target of 3.0 percent. Rising 13-week Twiggs Momentum above zero strengthens the signal.

10-Year Treasury Yields

The Dollar Index continues to test support at 95. Breach would warn of a test of the primary level (and rising trendline) at 93. A sharp decline on 13-Week Twiggs Momentum indicates this is likely.

Dollar Index

Gold

A weakening dollar would boost demand for gold, but rising interest rates counter this. Spot gold broke medium-term support at $1180/ounce, warning of a test of the primary level at $1140. 13-Week Twiggs Momentum peaks below zero suggest continuation of the primary down-trend. Failure of $1140 would offer a long-term target of $1000*.

Spot Gold

* Target calculation: 1200 – ( 1400 – 1200 ) = 1000

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.

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

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

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

GDP, the Dollar and Treasury yields

Interesting to see how Treasury yields and the Dollar reacted — or failed to react — to the sharp fall in first quarter GDP growth. But first a great summary by Matt Phillips at Quartz:

Move along. There’s nothing to see here.

Well, if you must know, US GDP growth fell to a 0.2% annualized rate, which looks pretty bad.

GDP

We told you it would be bad. How did we know? Windows. If you looked out any of them between January and March you were treated to a slush-bound hellscape of icy misery. Thankfully, spring has sprung. And there are all sorts of indications that US growth is bouncing back.

…interpreting the numbers rather than simply informing readers of the latest “bad news”. Good journalism.

Ten-year Treasury Note yields broke resistance at 2.00%. Not what one would expect if the economy was slowing and the Fed planned to sit on its hands rather than raise interest rates. Breakout above resistance indicates an advance to 2.25%. Recovery of long-term yields, however, is likely to be gradual, with much testing of support before we see a breakout above long-term resistance at 3.00%.

10-Year Treasury Yields

The Dollar Index surprised in the opposite direction, breaking support at 96. Not what one would expect if yields are rising. Breach of support suggests a test of the primary trendline at 92.

Dollar Index

Dearth of capital investment

Interesting graph from RBA governor Glenn Stevens.

A striking feature of the global economy, according to World Bank and OECD data, is the low rate of capital investment spending by businesses. In fact, the rate of investment to GDP seems to have had a downward trend for a long time.

One potential explanation is that there is a dearth of profitable investment opportunities. But another feature that catches one’s eye is that, post-crisis, the earnings yield on listed companies seems to have remained where it has historically been for a long time, even as the return on safe assets has collapsed to be close to zero …..

US Australia Yields

Perhaps this is partly explained by more sense of risk attached to future earnings, and/or a lower expected growth rate of future earnings.

Or it might be explained simply by stickiness in the sorts of “hurdle rates” that decision makers expect investments to clear. I cannot speak about US corporates, but this would seem to be consistent with the observation that we tend to hear from Australian liaison contacts that the hurdle rates of return that boards of directors apply to investment propositions have not shifted, despite the exceptionally low returns available on low-risk assets.

What this illustrates is the limits of monetary policy to restore economic growth.

Such [monetary] policies are, then, working through the channels available to them to support demand. But these channels are financial in nature. They don’t directly create demand in the way that, for example, government fiscal actions do……