EFTA00709345.pdf
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From: "Daniel Sabba (DEUTSCHE BANK SECURI)"
To: undisclosed-recipients:;
Bcc: jeevacation@gmail.com
Subject: (BV) No One Expected to Lose This Much on Swiss Francs: Matt Lev
Date: Sun, 18 Jan 2015 20:00:26 +0000
(BV) No One Expected to Lose This Much on Swiss Francs: Matt Lev
ine
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No One Expected to Lose This Much on Swiss Francs: Matt Levine
2015-01-16 19:34:40.111 GMT
By Matt Levine
(Bloomberg View) -- One does not normally see sharp right
angles in financial charts, but you could pretty much cut
yourself on this chart of the volatility of the Swiss franc
against the euro:
Source: Bloomberg (as are the rest)
One straightforward takeaway is: Whoa, that volatility is
super high! But perhaps a more useful takeaway is: Whoa, it was
super low for a really long time! This is of course because the
Swiss National Bank capped the franc's value against the euro:
The SNB wanted a price of no less than CHF 1.20 per euro, and
the euro itself wanted a price of no higher than CHF 1.20 for
reasons of its own, so the result was pretty much a peg at
slightly above 1.20. In the 12 months ending on Wednesday, the
euro traded in a range of 1.20095 to 1.23640 francs:
That chart looks more jagged than it is, because you're
standing too close to it. Here, I've zoomed out by two days:
Those two days -- yesterday and today -- really put the
previous year in perspective.
Goldman Sachs Chief Financial Officer Harvey Schwartz said
on this morning's earnings call that this was something like a
20-standard-deviation event, and while the exact number of
standard deviations is of course a subjective matter, that's
unquestionably the right ballpark. Over the 12 months ended on
Wednesday, the daily volatility -- that is, the standard
deviation of daily returns -- of the euro/franc relationship was
a bit over 1.7 percent; over the last three months of that
period the volatility was less than 1 percent. On Thursday, the
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euro ended down almost 19 percent, or call it 11 to 20 standard
deviations, depending on what period you use.
An 11-standard-deviation daily move should happen once
every ... hmmm let's see, Wikipedia gives up after seven
standard deviations, but a 7-standard-deviation move should
happen about once every 390 billion days, or about once in a
billion years. So this should be much less frequent. Good news I
guess, Switzerland won't be un-pegging its currency for at least
another billion years, go ahead and set your Swatch by it.
This is obviously dumb. You can't predict the next billion
years based on the last one year of data. A billion years ago,
how much were your euros worth? The franc was not volatile for a
reason, and then it became volatile for a reason, and those
reasons were mostly related to the policy actions of the Swiss
National Bank, and those actions were and are comprehensible by
the human mind, as long as that human mind didn't just
robotically consider one year of historical data price data and
nothing else. Most forecasters, who have human minds, did not
predict that the SNB would remove its cap this quarter, or even
this year, but they thought it might happen in 2016. No one was
waiting until 1000002015.
On the other hand! Imagine being a retail foreign-exchange
broker and letting your customers day-trade Swiss francs with
lots of leverage. How much leverage would you feel comfortable
giving them? Well, if volatility is less than 1 percent, then
that means that 95 percent of the time their positions will move
by less than 2 percent in a day. So if you required 2 percent
margin -- that is, you demand $2 of cash from them for every
$100 worth of Swiss francs that they trade -- you'd feel pretty
safe. That would mean that, 95 percent of the time, customers
couldn't lose more than their equity in a day -- so if they lost
money and skipped out on you, you'd be able to liquidate their
positions without losing any of the money you'd lent them.
On the other hand when the euro/franc moves by 19 percent
in a day, they're gonna get utterly smoked, and so are you. This
is roughly the boat in which FXCM Inc. finds itself. Like many
other retail foreign exchange brokers, it offered 50:1 leverage
on FX trades. And yesterday its "clients experienced significant
losses" on the Swiss franc move, and "generated negative equity
balances owed to FXCM of approximately $225 million." And now
it's in talks with Jefferies Group for a large cash infusion to
fix the problem. FXCM is also distinguished by just an
unbelievable sense of irony:
FXCM Chief Executive Officer Drew Niv, in remarks published
in Bloomberg Markets magazine's December issue, said individual
currency traders are enticed by the chance to control large
positions with little money down.
"Currencies don't move that much," he said. "So if you had
no leverage, nobody would trade."
Hahaha so true until it's so, so not. Some dumb fake math:
FXCM's clients are out $225 million of negative equity on these
trades. Pretend they were all EURCHF spot trades, so the clients
all lost about 19 percent yesterday. And pretend they'd all
posted 2 percent margin on their Swiss franc trades, so they're
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now at negative 17 percent. That would mean that the notional
size of those trades was about $1.3 billion, and that the margin
posted against them yesterday was about $26 million. And now
it's negative $225 million.
It's good to occasionally remember that a margin loan is a
put: If you let your customer buy something for $100, and you
lend them $98 of the purchase price, and then the price of the
thing falls to $81, then guess what, you own the thing! Also
you've lost $17. I mean, you can call the customer and ask for
more money, it can't hurt. But you're not going to, like, feel
full of joy and confidence while you're making that phone call.
This is FXCM's problem, and also the more acute problem of
various other retail FX brokers who are just plain donezo. But
the problems extend beyond retail brokers. Deutsche Bank had
"approximately $150 million in losses," Barclays had "tens of
millions of dollars of in losses," and Citi also seems to be out
more than $150 million. But you have to feel a little for the
traders who racked up those losses. They were not taking crazy
risks. A $150 million loss translates into a position equivalent
to something like 700 million euros against the franc, not that
huge against Deutsche Bank's 1.7 trillion euro balance sheet.
The historical daily standard deviation of such a position would
be about $8 to $18 million, for a "value-at-risk" of about $19
to $43 million. So a loss of several times that amount in one
day would be ... surprising.
In practice, though, even this estimate is too high;
Deutsche Bank's totalreported foreign exchange value-at-risk at
the end of September was just 14.2 million euros. So its wrong-
footed Swiss franc bets must have been even safer-looking (less
volatile) than that. For instance, of course: If you sold puts
on the euro struck at 1.15 Swiss francs, well beyond the level
protected by the Swiss national bank, then those puts looked
very very unlikely to ever cost you anything. They had a very
low and very stable value. Until yesterday. Then they lost you
tons of money.
Here is Tracy Alloway on bank value-at-risk models and the
currency move:
The move from the SNB constitutes a classic VaR shock
following a period in which banks have seen their VaR estimates
slip further and further lower following an historic period of
low volatility.
As realized volatility gets lower, estimates of future
volatility -- and so estimates of future losses -- get lower.
And so position limits get higher, as banks feel safer with the
risks they're taking, because, on a historical basis, they don't
look that risky. And then the risk that didn't look risky
becomes the one that gets you.
By which I just mean that it is obvious in hindsight that the
"natural" level of the euro was way below CHF 1.20. Since, you
know, the current level is less than 1 franc.
Bloomberg EURCHF <Curncy> HVT as of Jan. 14 shows 1.743 for 260-day
volatility (conventionally, one year of trading days). For 65-
day volatility (three months of trading days), it shows 0.931.
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For normally distributed data! Which ...
Anyway if you don't like lazy Wikipedia'ing, Wolfram Alpha says
that the two-tailed p-value for 11 standard deviations is about
4 x 10A-28, or about once every 2.5 billion billion billion
days, or, I mean, you know, not very often.
I'm being super sneaky with that dollar sign. The volatility of
the USDCHF relationship was more like 7 or 8 percent through
Wednesday: The Swiss franc was effectively pegged to the euro,
but the euro/dollar relationship, and thus the franc/dollar
relationship, was reasonably volatile.
In general, if you asked me why 2 percent margin on retail FX
trades is OK, I would scratch my head at you. It seems low,
doesn't it? But basically the regulatory standard is 2 percent
for major pairs and 5 percent for others. (See, e.g., page 15 of
FXCM's 10-K -- the risk factor saying that regulators might
increase margin requirements, and that that might hurt FXCM's
business. Oops, in the event.)
That negative equity is versus total customer equity of about
$1.3 billion as of the end of September, according to page 45 of
FXCM's most recent 10-Q, which is full of delights. FXCM's
average retail client does 2.2 trades per day, for a total of
406,190 trades per day over 184,000 active accounts. That's like
26 million retail trades per quarter, and FXCM reports $977
billion of retail trades last quarter, so I guess the average
trade is for about $37,000. Which would require about $740 of
margin, at 50-to-1.
USDCHF was off like 18 percent, so that works too. I'm
pretending also that everything was delta-one to spot currency
prices. I'm sure that in fact there were bunches of crazy
options trades, etc.
And that they had no offsetting trades, which seems unlikely.
Everyone does 2+ trades a day!
That is, an $800 million notional spot EURCHF trade would have
lost about $150 million on the euro's 18.77 percent move down
yesterday, so DB's losses were sort of equivalent to that. And
$800 million is around 694 million euros (now!). Obviously
Deutsche's actual trades weren't just hundreds of millions of
euros of spot EURCHF.
That is, $800 million notional times a daily vol of between 1
percent (last three months) and 2.3 percent (last 395 trading
days, or about a year and a half, the longest period Bloomberg
HVT will give me).
This is super fake, just one-tailed 99 percent (2.33 standard
deviation) likelihood using the historical volatilities from the
previous footnote. Banks typically use longer lookbacks for
their VaR calculations.
To contact the author on this story:
Matt Levine at
To contact the editor on t rs stc
Zara Kessler a
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