25/12/15: Comment for Expresso on U.S. Fed hike

My comment for Portugal's Expresso (December 19) on U.S. Fed rate hike:

23/12/15: Corporate Leverage: "I miss you since the place got wrecked"

Remember all the deleveraging the U.S. economy has gone through during the crisis? Why, sure, we've learned a lesson about too much debt, did we not?

Except when you look at the Deutsche Bank data in the following chart:

Source: @SoberLook 

By which the investment grade corporates' net leverage is at all time high 3 quarters running and rising; and gross leverage is at all time high 4 quarters running and rising. Or as Leonard Cohen's lyrics go:

"Ah we're drinking and we're dancing 

and the band is really happening 

and the Johnny Walker wisdom running high..."

23/12/15: Vnesheconombank: where things stay ugly

As reported by BOFIT, Russia’s 4th largest and state-owned Vnesheconombank  (VEB Group which technically is not a bank, but a development bank and an owner of a number of banks, so as such VEB is not subject to CBR supervision) requires estimated funding supports at EUR15–20 billion “to cover at least the next few years”.  Per Bloomberg, VEB has been seeking USD23 billion “to support long-term growth and pay off the upcoming loan” (data as of November 23). VEB total assets in Russia amount to ca EUR45 billion, which, per BOFIT, “would make VEB Russia’s fourth largest bank with holdings that correspond to about 4 % of the banking sector’s total assets”. Overall, VEB holds 2.8 trillion Rubles in loans assets and around 1 trillion Rubles in other assets.

To-date, VEB received EUR8 billion in deposits from the National Welfare Fund and about EUR500 million in other monies (most of which came from the Central Bank’s 2014 profits).

Per both, Bloomberg and BOFIT: VEB has been a major lender behind Sochi Winter Olympics 2014. New lending increased total loans held by the bank by some 25% in Ruble terms in 2013 before doubling loans in 2014. VEB started aggressive loans expansion in 2007 since when its assets base grew almost 10-fold. Over 2015, bank-held loans posted some serious deterioration in quality forcing bank to set aside significant reserves to cover potential losses. Per Reuters report, “S&P estimates some 500 billion roubles of VEB's loans were directed by the government and are therefore regarded as relatively risky. While the huge investments made in Sochi have generated public discussion in Russia, far less attention has been given to no less massive investments VEB made in Ukraine. "That's still on their books and they keep rolling those loans over. Of course it's only a question of time before they accept losses on those assets," said S&P's Vartapetov. In an interview in December 2013, VEB Chairman Vladimir Dmitriev said the bank had via Russian investors ploughed $8 billion into Ukrainian steel plants, mainly in the Donbass region, since ravaged in a separatist conflict. He said the investment had supported 40,000 Ukrainian workers, but did not say how the Russian economy had benefited.” Overall, Russian banks’ continued presence and even growth in Ukraine - while puzzling to some external observers - can be explained by the significant role these banks play in the Ukrainian economy.

In 2014, VEB posted full year loss of USD4.5 billion / RUB250 billion and in 1H 2015 losses totalled USD1.5 billion. VEB’s Ukrainian subsidiary was one of the big drivers for these. Based on the figures, VEB posted the largest loss of any Russian company in 2014.  The top three largest loss making companies in 2014 were: Vnesheconombank, followed by the steelmaking giant Mechel (loss of 167 billion rubles) and the monopoly Russian Railways (losses of 99 billion rubles).

In addition, VEB holds some USD19.3 billion of debt maturing through 2025 (see chart from Bloomberg) with EUR9 billion of this in eurobonds:

VEB is subject to both EU and US sanctions which effectively shut VEB access to funding markets and the bank will require between EUR2.5 and 3 billion for debt servicing in 2016 alone. This week, VEB secured a five-year loan of 10 billion yuan or EUR1.4 billion from China Development Bank.

Recently, Finance Minister Anton Siluanov stated that VEB requires as much as USD20 billion in funding (ca 1.7% of Russian GDP), and that VEB is expected to sell some of its assets to fund part of the gap.


Per Bloomberg, “the finance ministry’s proposals include exchanging the lender’s Eurobonds for Russian government securities, Vedomosti reported Nov. 24. Other options on the table include a local government bond offering for 1.5 trillion rubles to recapitalize the bank, and transferring bad assets from VEB’s balance sheet to the state, according to newspaper Kommersant.”

22/12/15: Baltic Dry Index: not much of a post-Fed bounce

With the optimism of Christmas week forecast (traditionally keen on stressing the upside to the global economic conditions), let's not forget the Baltic Dry Index:

As the chart above shows, global trade ain't doing too well in this *finally repaired* and *full employment-bound* world economy. In fact, the index has been ploughing the depths that put to shame even the abysmal December 2008 crisis lows. Not surprisingly, the post-Fed bounce was pretty much a fizzle...

Ho-ho-ho... 

20/12/15: Of those Russian GDP 2016 forecasts

In my recent column for Slon.ru (see: http://trueeconomics.blogspot.ie/2015/12/151215-russian-outlook-for-2016-slon.html) I quipped that in the case of the Russian economy, forecasts for 2016 growth rates might just as well be taken from the fortune tellers, as there are too many moving factors driving the economy, all of which are virtually impossible to forecast.

Now, h/t to @JoMichell, we have a picture of 'predictability' of one key driver of the Russian economy - oil prices. Please, keep in mind: these are Brent prices (Urals grade predictability is even lower, as Urals-Brent spread is subject to further uncertainty, including geopolitical risks and substitution risks, as discussed in my Slon.ru column).

So here is a chart showing IMF forecasts for Brent prices issued back in June 2015:

 Note that in the above, least probable downside scenario is for oil above USD40 per barrel through 2015. Alas, the least probable forecast is not exactly the lower bound for reality:

So here we have it: less than 6 months forecast out, and the least probable worst case scenario has been breached already. Good luck pinning Russian GDP forecasts down...

19/12/15: Oil Prices: One Chart, Two Years

A neat summary / timeline of oil price changes in two years:

Source: @allmarkets 

19/12/15: Another Un-glamour Moment for Economics

Much of the current fascination with behavioural economics is well deserved - the field is a tremendously important merger of psychology and economics, bringing economic research and analysis down to the granular level of human behaviour. However, much of it is also a fad - behavioural economics provide a convenient avenue for advertising companies, digital marketing agencies, digital platforms providers and aggregators, as well as congestion-pricing and Gig-Economy firms to milk strategies for revenue raising that are anchored in common sense. In other words, much of behavioural economics use in real business (and in Government) is about convenient plucking out of strategy-confirming results. It is marketing, not analysis.

A lot of this plucking relies on empirically-derived insights from behavioural economics, which, in turn, often rely on experimental evidence. Now, experimental evidence in economics is very often dodgy by design: you can’t compel people to act, so you have to incentivise them; you can quite select a representative group, so you assemble a ‘proximate’ group, and so on. Imagine you want to study intervention effects on a group of C-level executives. Good luck getting actual executives to participate in your study and good luck getting selection biases sorted out in analysing the results. Still, experimental economics continues to gain prominence, as a backing for behavioural economics. A still, companies and governments spend millions on funding such research.

Now, not all experiments are poorly structured and not all evidence derived from is dodgy. So to alleviate nagging suspicion as to how much error is carried in experiments, a recent paper by Alwyn Young of London School of Economics, titled “Channelling Fisher: Randomization Tests and the Statistical Insignificance of Seemingly Significant Experimental Results” (http://personal.lse.ac.uk/YoungA/ChannellingFisher.pdf) used  “randomization statistical inference to test the null hypothesis of no treatment effect in a comprehensive sample of 2003 regressions in 53 experimental papers drawn from the journals of the American Economic Association.”

The attempt is pretty darn good. The study uses robust methodology to test a statistically valid hypothesis: has there been a statically significant result derived in the studies arising from experimental treatment or not? The paper tests a large sample of studies published (having gone through peer and editorial reviews) in perhaps the most reputable economics journals. This is creme-de-la-creme of economics studies.

The findings, to put this scientifically: “Randomization tests reduce the number of regression specifications with statistically significant treatment effects by 30 to 40 percent. An omnibus randomization test of overall experimental significance that incorporates all of the regressions in each paper finds that only 25 to 50 percent of experimental papers, depending upon the significance level and test, are able to reject the null of no treatment effect whatsoever. Bootstrap methods support and confirm these results. “

In other words, in majority of studies claiming to have achieved statistically significant results from experimental evidence, such results were not really statistically significantly attributable to experiments.

Now, the author is cautious in his conclusions. “Notwithstanding its results, this paper confirms the value of randomized experiments. The methods used by authors of experimental papers are standard in the profession and present throughout its journals. Randomized statistical inference provides a solution to the problems and biases identified in this paper. While, to date, it rarely appears in experimental papers, which generally rely upon traditional econometric methods, it can easily be incorporated into their analysis. Thus, randomized experiments can solve both the problem of identification and the problem of accurate statistical inference, making them doubly reliable as an investigative tool. “

But this is hogwash. The results of the study effectively tell us that large (huge) proportion of papers on experimental economics published in the most reputable journals have claimed significant results attributable to experiments where no such significance really was present. Worse, the methods that delivered these false significance results “are standard in the profession”. 

Now, consider the even more obvious: these are academic papers, written by highly skilled (in econometrics, data collection and experiment design) authors. Imagine what drivel passes for experimental analysis coming out of marketing and surveying companies? Imagine what passes for policy analysis coming out of public sector outfits? Without peer reviews and without cross-checks like those performed by Young?

18/12/15: Ukraine Inches Even Closer to a Default

So, we have this:

Which means that Ukraine and Russia - so far - have failed to agree terms of debt restructuring. As a reminder, over the last few days, Ukraine and Russia were involved in a 'last minute' dialogue (via Germany) to resolve the issue.

Does this mean that Ukraine is now in a sovereign debt default? Technically - no. Ukraine will only be in a default after 10 days grace period expires, which means the parties to the talks still have 12 days to reach an agreement and avoid default.

Does this mean that Ukraine is now in breach of IMF lending criteria? Technically - no. IMF amended its own rules allowing lending to continue for countries in official sector default, as long as these countries continue to engage in debt restructuring negotiations with the lenders.

Can the two countries reach a deal in time to avoid official default? Unlikely: any deal between Russia and Ukraine (except for a deal that treats Russia under the same terms extended to private lenders - a deal that is simply unacceptable to Russia) will require approval of other (commercial) lenders under the agreement between commercial lenders and Ukraine struck earlier. There is simply not enough time to achieve such an approval, even assuming, there is a deal and the deal can be approved (both assumptions are quite a stretch).

Do both parties show will to negotiate in good faith? So far - no. Russian offer (see here) has been to restructure debt by extending repayment period (a real haircut absent nominal haircut, as far as I read this). The offer shifted Russian position in negotiations in the direction of Ukraine's position: from the opening position that the debt is official sector debt and thus should be repaid in full and in time. Ukraine's position has been to treat Russian debt equivalent to private sector debt and Ukraine (as far as public record goes) did not alter its position to move closer to Russian offer. Ukraine also deployed consistent rhetoric of "Our way or the highway" variety. In other words (I am willing to be corrected on this), Russia made insufficient step toward Ukraine, while Ukraine made no step toward Russian position whatsoever.

Note: my view has been (consistently over time) that Russia should restructure loans to Ukraine to a longer term, say 10-year, bond extended at original interest rate and allow for 2-3 years interest payments moratorium. Financially optimal solution would have been to impose a haircut on principal and extend maturity of the remaining balance. But, given Ukraine's failure to secure stronger restructuring with private sector lenders, this option is not available and is politically infeasible.

17/12/15: Re-aligning Ruble with Oil: Fed Hiccup...

Two casualties of the Fed's rate jitter: Oil & Ruble

Source: @Schuldensuehner 

Ruble is now nearing August 2015 lows on a continued trend that realigned with oil prices.

And while we are at it, another pairing:

Source: @Schuldensuehner 

Note: as of yesterday's closing Russian CDS 5 year spread was at 308.91 with implied probability of default of 19.15%. A week ago, same stood at 291.64 with implied probability of default at 18.26% and at the end of Tuesday, at 305.91 with implied probability of default at 18.99%.

But as a reminder, watch not only Brent, but also Urals-Brent spread. Hawkish dove of the Fed has less to say on that than Russian energy substitution ongoing in Europe and Turkey via Saudi's and Iranian contracts.

16/12/15: 36 years of interest rates across major advanced economies

As we inch closer to the U.S. Fed rates decision today, here is a useful chart summing up evolution of interest rates in key advanced economies over the last 36 years:

Happy lifting... 

16/12/15: Only 2/5 Global Ranking Methodologies Show an Irish Uni in Top 100

Universities rankings are a hazardous undertaking. Too many moving metrics, too many subjective inputs, too many egos fighting each other and too many euros and dollars and rupees and pounds etc at stake from funding sources. So one really should take them with a grain of salt and in comparatives look at a number of rankings across the board.

So here's a set of simple facts:

• By ARWU methodology, there are no Irish Universities in top 100 world wide: http://trueeconomics.blogspot.ie/2015/08/15815-irish-universities-none-in-top.html;
• By Times Higher Education methodology, there are no Irish Universities in top 100 world wide: http://trueeconomics.blogspot.ie/2015/11/51115-times-higher-education-rankings.html
• By US News & World Report (NWR) methodology, there are no Irish Universities in top 100 world wide: http://www.usnews.com/education/best-global-universities/search?region=&country=ireland&subject=&name= and see chart below;
• By QS rankings methodology there is only one Irish university in top 100 world wide http://www.topuniversities.com/university-rankings/world-university-rankings/2015#sorting=rank+region=140+country=+faculty=+stars=false+search= (see second snapshot below)
• By Wikipedia rankings, there is only one Irish university in top 100: https://www.timeshighereducation.com/carousels/wikipedia-ranking-world-universities-top-100 (see third snapshot below)

US NWR rankings:

QS rankings:

Wikipedia rankings:

Note: although QS and Wikipedia rankings for Trinity are relatively close, two methodologies are quite different. In terms of perceived robustness, ARWU and THE, are seen as top quality rankings, with QS and USNWR methodologies being usually seen as 'intermediate' quality and Wikipedia rankings being, err... a bit off-the-wall. 

Still, net effect is: 3/5 global universities rankings give Ireland zero places in top 100. No matter how you spin this, it ain't great...

15/12/15: There will be more blood: Global commodities markets

My Article for Sunday Business Post on commodities markets outlook: http://www.businesspost.ie/constantin-gurdgiev-there-will-be-blood/.