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What	is	FRTB	and	why	start	now?
KPMG	seminar	on	the	Fundamental	Review	of	the	Trading	Book	
Copenhagen	- 9	June	2016
Morten	Weis,	Ph.D.
Independent	risk	management	expert
About	Morten	Weis
©	Morten	Weis	2016
• Former	Executive	Director	at	Group	Risk	Management	at	Nordea	Bank	AB	(1998	- 2016)
• 18	years	experience	in	financial	risk	management	and	valuation	of	financial	instruments
• 11	years	in	various	leadership	roles	within	Nordea’s	Group	Market	and	Counterparty	
Credit	Risk	division,	including:
• Head	of	Group	Market	Risk	at	Nordea	Bank	AB	(2012-2015)
• Lead	Business	Owner	for	Nordea’s	FRTB	&	Risk	Platform	project	(2015-2016)
• In	these	roles,	I	was	responsible	for	Nordea’s	FRTB	preparations	since	2012	and	for	
participation	in	several	Basel	Committee	coordinated	Quantitative	Impact	Studies		(QIS’s)	
• Active	member	of	international	FRTB	working	group	arranged	by	ISDA	and	participated	
in	preparing	industry	input	to	the	Basel	Committee	on	FRTB	(2014-2016)
• Ph.D.	in	theoretical	physics	from	the	Niels	Bohr	Institute,	University	of	Copenhagen
Foto• Former	Executive	Director	at	Group	Risk	Management	at	Nordea	Bank	AB	(1998	- 2016)
• 18	years	experience	in	financial	risk	management	and	valuation	of	financial	instruments
• 11	years	in	various	leadership	roles	within	Nordea’s	Group	Market	and	Counterparty	
Credit	Risk	division,	including:
• Head	of	Group	Market	Risk	at	Nordea	Bank	AB	(2012-2015)
• Lead	Business	Owner	for	Nordea’s	FRTB	&	Risk	Platform	project	(2015-2016)
• In	these	roles,	I	was	responsible	for	Nordea’s	FRTB	preparations	since	2012	and	for	
participation	in	several	Basel	Committee	coordinated	Quantitative	Impact	Studies		
(QIS’s)	
• Active	member	of	international	FRTB	working	group	arranged	by	ISDA	and	participated	
in	preparing	industry	input	to	the	Basel	Committee	on	FRTB	(2014-2016)
• Ph.D.	in	theoretical	physics	from	the	Niels	Bohr	Institute,	University	of	Copenhagen
Questions	we	seek	to	answer:
©	Morten	Weis	2016
Why	is	FRTB	here?
What	is	FRTB?
Why	are	large	banks	concerned?
Why	start	preparing	now?
FRTB	- A	new	“standard	for	minimum	capital	for	market	risk”	issues	by	
the	Basel	Committee	for	Banking	Supervision	in	January	2016
©	Morten	Weis	2016
• The	Financial	Crisis	(2007-2008)	led	the	Basel	Committee	to	launch	an	
“emergency	fix”	to	market	risk	capital	rules	in	2009
• Know	as	“Basel	2.5”,	Value-at-Risk	models	was	targeted	and	capital	
charges	increased	several	fold	for	banks	applying	internal	models	for	
capital	adequacy	reporting,	but	standard	rules	were	kept	unchanged	
from	Basel	I/II
• Intense	lobbying	saved	internal	models	for	correlation	trading
• Adopted	by	EU	in	CRD	III	and	effective	January	2011
• The	Basel	Committee	knew	rules	was	a	mess	and	promised	to	
make	a	“fundamental	review"
FRTB	– The	path	to	a	new	capital	standard
©	Morten	Weis	2016
• Next	step	from	the	Basel	Committee	was	to	target	counterparty	credit	
risk,	including	negative	Credit	Valuation	Adjustments	(CVA)	that	was	
responsible	for	major	losses	in	international	banks	during	2007-2008
• “Basel	III”	included	among	several	elements	a	new	CVA	Risk	capital	
charge	for	the	embedded	market	risk	in	banks	CVA	adjustments:
• Adopted	with	adjustments	by	EU	in	2013	in	CRD	IV/CRR
• Allowed	for	both	standard	approach	and	internal	models
• A	”hybrid”	between	counterparty	credit	risk	and	market	risk,	CVA	
Risk	Charge	was	not	integrated	with	the	general	market	risk	
capital	charge
• CVA	Risk	Charge	only	address	credit	spread	risk	in	CVA
FRTB	- the	path	to	a	new	capital	standard
©	Morten	Weis	2016
Basel Committee:Analysis of RWA for market risk - January 2013
• Benchmarking	of	banks	internal	market	
risk	models	for	identical	portfolios	
revealed	massive	differences
• Widespread	lack	of	confidence	in	banks	
objectivity		in	calculation	of	own	
RWA/REA	figures	emerged	among	
politicians	and	regulators
The	aim	of	the	Fundamental	Review	of	the	Trading	Book
©	Morten	Weis	2016
Ensure	sufficient	capital	for	market	risk	in	“Trading	Book”
Avoid	double	counting,	but	measure	risks	realistically,	
reflecting	market	liquidity
Ensure	objective	and	firm	definition	of	“Trading	Book”	vs.	
“Banking	Book”
Ensure	coherent	capitalisation	for	market	risk	across	banks
Establish	a	credible	alternative	to	internal	model	approval	
for	large	banks
The	key	components	of	FRTB
©	Morten	Weis	2016
Trading	Book	
definition
• Purpose	of	position	
decisive
• Presumptive	list	of	
instruments
• Internal	Risk	
Transfers	under	
tight	rules
Standardised	
Approach
• “Mandatory”
• Sensitivity	Based	
Approach	+
• Default	Risk	
Charge	+
• Residual	Risk	+
• Securitisations
Internal	Models	
Approach
• "Optional"
• Stressed	“Expected	
Shortfall”	replaces	
VaR &	sVaR +
• Default	Risk
Charge	+
• Non-Modellable
Risks
The	Trading	Book	- Banking	Book	boundary
©	Morten	Weis	2016
The	purpose	of	the	position	decides	the	placement:
short-term resale,	profiting	from	short-time	price	moves,	
locking	in	arbitrage	profits	→ Trading	Book
A	presumptive list	of	Trading	Book	instruments:	listed	equity,	
bonds,	derivatives,	options	including	embedded	derivatives	in	
instruments	issued	from	the	Banking	Book	with	equity	or	credit	
underlying,	FX	exposures,	correlation	trading,	commodities
Non-listed equities,	funds	without	look-through	or	daily	price,	
real-estate,	retail	and	SME	credits,	are	Banking	Book	per	
definition
Banks	can	deviate	from	the	presumptive	list	only	if	explicit	FSA	
approval	is	granted
The	Trading	Book	- Banking	Book	boundary	– Can	you	pass?
©	Morten	Weis	2016
FX	risk	in	the	Banking	Book	must	be	capitalised	in	the	Trading	
Book	as	a	separate	Trading	Desk	– FSA	may	grant	approval	to	
exclude hedges	of	capital	adequacy	ratio	under	certain	
conditions		
Internal	Risk	Transfer	from	Trading	Book	to	the	Banking	Book	
gives no	capital	recognition	in	the	Trading	Book
Internal Risk	Transfers	from	Banking	Book	to	Trading	Book	must	
be	identically	match	with	external	trades	for	equity	and	credit	
risk	to	give	capital	benefit
Internal	Risk	Transfers	of	interest	rate	risk	may	be	managed	in	
separate	Trading	Book	portfolio,	capitalised	on	stand-alone	basis
in	the	Trading	Book,	and	included	in	IRRBB	exposure	calculation
The	Border	Challenge	relates	to	ALL	banks	
©	Morten	Weis	2016
Every	position	must	be	supported	by	documentation	for	capital treatment
Key concern	could	be	liquidity	buffers,	often	placed	in	Banking	Book,	but	on	
the	presumptive	list	of	Trading	Book	instrument
Risk management of	market	risk	of	structured	bond	issuances	may	become	
more	expensive	due	to	demand	for	identical	external	hedge	in	Trading	Book	
Management	of	IRRBB	with	derivatives	traded	with	Trading	Book	may	
become	more	expensive	due	to	stand-alone	treatment	
All	banks	will	have	to	spend	more	resources	on	documentation	and	control
IT	systems	for	capital	calculation	must	be	able	to	handle	Internal	Risk	
Transfers	correctly	in	both	Market	Risk	and	IRRBB	regulatorycapital
The	Standard	Approach	capital	is	the	absolute	sum	of	3	elements
©	Morten	Weis	2016
Sensitivity	
Based	
Approach	
(SBA)
Default	Risk	
Charge	
(DRC)
Residual	
Risk	
add-on	
(RRAO)
Risk	Factor	Sensitivities
• Delta	+	Vega
• Curvature	of	options
Credit	Risk	in	Trading	Book
• Bonds,	
• Equities
Notional	Based	Charge
• Complex	Instruments
• Complex	underlying
• Includes	pre-payment
risk	(e.g.	DMB)
FRTB	SBA	delta	risk	in	one	page
©	Morten	Weis	2016
For	each	broad	risk	class:	General	Interest	Rate	Risk	
(GIIR),	Equity,	Credit	Spreads,	FX,	and	commodities:	
assign	sensitivities	to	different	“buckets”
Calculate	a	risk	weighted	sensitivity	by	bumping	 each	
sensitivity	with a	designated	risk	weight
Within	and	across	buckets,	the	weighted	sensitivities	
are	aggregated according	to	specified	formulae	very	
similar	to	a	parametric	VaR model
Correlations	within	buckets	and	across	are	given	by	the	
Basel	Committee
FRTB	SBA	– examples	of	risk	weights
©	Morten	Weis	2016
• GIIR	risk	weights	increased	by	50%	
following	the	last	consultation	paper	
• The	concept	of	“Domestic	Currency”	
will	be	of	importance	for	DKK	banks
Interest	Rates* 1Y 5Y 10Y 30Y
Risk Weight 2.25% 1.5% 1.5% 1.5%
*	EUR,	USD,	GBP,	JPY,	AUD,	CAD,	SEK	+	“Domestic	Currency”	
may	divide	risk	weight	with	√2
Credit	Spreads Risk	Weight
Investment	Grade Sovereigns,	Central	Banks,.. 0.5%
Investment	Grade	Financials,	also	government-backed 5.0%
Investment	Grade	Covered	Bonds 4.0%
Investment Grade	Technology	 &	Telecom 2.0%
High-Yield or	Not-Rated	Sovereigns 3.0%
High-Yield or	Not-Rated	Financials,	also	gov-backed 12.0%
• Credit	Spread	charge	applies	for	all	
bonds	– also	AAA-rated	Sovereigns	
• Covered	Bonds	are	very	expensive	
compared	to	more	corporate	debt
FRTB	SBA	– examples	of	risk	weights
©	Morten	Weis	2016
• FX	risk	becomes	more	expensive
• Scandinavian	banks	are	likely	to	be	
hit	by	liquidity	 classification
Risk	Weight FX:	RISK – divided	on	currency	crosses
21% USD/EUR,	USD/JPY,	USD/GBP,	USD/AUD,	USD/CAR,	USD/CHF,	USD/MXN,	USD/CNY,	
USD/RUB,	USD/HKD,	USD/SGD,	USD/TRY,	USD/KRW, USD/SEK,	USD/ZAR,	USD/IND,	
USD/NOK,	USD/BRL,	EUR/JPY,	EUR/GBP,	EUR/CHF,	JPY/AUD
30% Rest	of	the	world…...	Including EUR/DKK,	EUR/SEK, DKK/SEK,	SEK/NOK	etc...)
FRTB	SBA	delta	risk	correlations	are	exposed	to	stress	assumptions
©	Morten	Weis	2016
For	all	SBA	
calculations,	FRTB	
specifies	three	
correlation	scenarios	
The	scenarios	are	
denoted	
"low",	"medium","high"	
Banks	must	select	the	
one	giving	the	highest	
capital	charge
Low:	 listed	correlations	✕ 0.75
Medium:	 listed	correlations	✕ 1.00
High:	 listed	correlations	✕ 1.25
FRTB	SBA	– adding	it	all	up
©	Morten	Weis	2016
• All	option	products	– including	embedded	
options	as	in	Danish	Mortgage	Bonds	must	
be	revalued	in	stressed	up/down	scenarios	
to	form	the	“Curvature”	risk	charge
• For	GIIR	this	is	a	+/- 240	bp. shift*	and	you	
cannot	floor	at	zero	interest	rate
• The	“Delta”	risk	charge	for	all	1.st	order	risk	
factors sensitivitets	(delta	+	vega) are	to	be	
added	up
• For	each	risk	factor	within	a	broad	risk	
factor	class,	such	as	GIIR,	you	must	apply	
different	correlations	
• E.g.	swaps	with	different	fixing	rates,	
but	same	currency	cannot	be	netted	
fully	at	the	same	maturity	
• The	regulation	is	very	prescriptive	and	
detailed
• Sensitivity	calculations	must	follow	specific	
technical	definitions
• The	classification	of	risk	factors	is	very	
detailed	and	residual	buckets	very	punitive
• Requires	full-suite	risk	management	IT	tools
FRTB	SA:	Default	Risk	Charge	– A	4	step	process,	(Non-Correlation	Trading)
©	Morten	Weis	2016
Identify	Jump-to-Default	(JTD)	loss	for	each	
instrument
Offset long	and	short	JTD	exposures	to	same	obligor	
when	permissible	giving	net	long	and	shorts	in	distinct	
obligors
Net	short	exposures	are	discounted	by	a	hedge	
benefit	ratio
Default	Risk	Weights	are	applied	to	arrive	at	capital	
charge*
Credit	Quality Default	Risk	Weight
AAA 0.5%
AA 2%
A 3%
BBB 6%
BB 15%
B 30%
CCC 50%
Unrated 15%
Defaulted 100%
*At	national	discretion	claims	on	sovereigns,	public	
sector,	and	multilateral	development	banks	may	be	
subject	to	a	zero	default	risk	weight
FRTB	SA	– fitting	in	the	last	pieces	
©	Morten	Weis	2016
• Summing	 up	– we	have
• Higher	Risk	Weights
• Larger	coverage	of	risk	factors
• Much	higher	complexity	
• Expect	higher	capital	&	production	
cost	
• The	Residual	Risk	Add-on	(RRAO)	is	a	simple	
capital	charge	on	the	gross-notional*	 of	
“complex	products”	with	risks	not	captured	
well	by	the	SBA
• E.g.	a	digital	option	or	bond	with	pre-
payment	risk
• The	Risk	Weight	is	0.1%	for	non-exotic	
underlying	 assets,	otherwise	1.0%	
• The	SA	is	designed	 to	be	a	credible	
alternative	to	internal	models,	 and	to	form	
basis	for	more	objective	comparison	of	
banks	risks
• The	SA	will	be	central	for	utilisation	of	
future	capital	floors
• Disclosure	requirements	are	still	pending.	
BCBS	356	indicate	only	hypothetical	
portfolio	 figures	to	be	published	 for	pure	
IMA	banks
Example:	
• A	DMB	will	give	rise	to	GIIR	delta	+	
GIIR	vega +	GIIR	Curvature	+	Credit	
Spread	delta	+	Default	Risk	Charge	+	
Residual	Risk	Charge
*	Pure	back-to-back	positions	not	included
The	Internal	Model	capital	charge	is	the	absolute	sum	of	3	elements
©	Morten	Weis	2016
Expected	
Shortfall	
(ES)
Default	Risk	
Charge	
(DRC)
Non-
Modellable
Risk	factors
Historical	Statistical	Metric
• Calibrated	to	stressed	
1Y period	during	last	
10	years
• Liquidity	scaling
• High	data	requirements
Credit	Risk	Monte	Carlo	model	
• Bonds,	
• Equities
Stress	Testing	Charge
• Lack	of	“real	price	data”
• At	least	as	conservative	
as	the	ES	model
FRTB	IMA	– the	new	Expected	Shortfall	Model	concept
©	Morten	Weis	2016
• 97.5%	ES	for	1Y	period	of	stress	
over	the	last	10	years	replace	VaR +	
sVaR as	price	volatility	risk	metric
Liquidity bucket	examples:	Risk	factor	category n
IR:	EUR,	USD,	GBP,	AUD,	JPY,	SEK,	CAD	+	“domestic" 10
IR:	all	other	currencies 20
IR:	volatility 60
FX: list	of	currency	crosses 10
FX: residual	currency	crosses 20
Equity (large	cap) 10
Credit Spreads:	Corporate	Investment	Grade 40
• Contrary	to	CRD	III,	cross	asset-class	
correlations	are	restricted	to	avoid	to	
large	diversification	effects
• Risk	factors	are	classified	in	5	
liquidity	buckets:	10d,	20d,	40d,	
60d,	120d.	All	shocks	are	10-day
Example:	a NOK	swap	for	a	DKK	bank
𝐸𝑆&' =	 (𝐸𝑆+,). + (𝐸𝑆+,).
• Exposure	to	several	risk	factors	⟹
the	same	trade	is	revalued	multiple	
times	in	the	calculation	of	ES
FRTB	IMA	– The	main	element	to	be	aware	off
©	Morten	Weis	2016
• Full	revaluation	is	not	a	formal	requirement	
as	in	consultation	version,	but	passing	IMA	
tests	without	will	be	difficult
• Differences	between	FO	and	Risk	valuation	
methods	will	make	IMA	tests	challenging	to	
pass
• Joint	Equity	and	Bond	defaults	to	be	
modelled	in	DRC
• Significant	increase	in	CPU	&	storage	
demands
• The	shift	from	VaR &	Stressed	VaR to	ES	is	
as	such	not	difficult
• The	main	problem	is	IMA	approval	will	now	
be	decided	on	Trading	Desk	Level
• Hard	quantitative	and	qualitative	
requirements	are	set:
• P&L	explain	alignment	FO	– Risk
• Back	testing
• “Real	prices”	must	exist
• The	treatment	of	liquidity	is	simplistic	and	
penalising	for	many	exposures
• The	“domestic	currency”	will	help	DKK	
based	banks
• ”Broken	hedges”	will	drive	capital	charges	
up
• The	minimum	 multiplier	is	reduced	from	
3.0	to	1.5
FRTB:	Why	are	the	large	banks	very	concerned?
©	Morten	Weis	2016
• Capital	planning	hard	to	predict	due	to	
automated	IMA	admission	tests
• Large	cliff	effects	between	SA	and	IMA
• Massive	investments	in	people,	data	and	IT	
for	metrics	hard	to	use	internally	for	own	
risk	management
• Negative	effects	on	liquidity	expected
• May	significantly	affect	investment	banks	
business	composition	
• Industry	associations	have	led	voluntary	
survey	across	21	leading	banks	on	impact	
of	final	rules
• While	the	final	rules	are	less	penalising	
than	latest	draft	version,	market	risk	capital	
will	still	increase	1.5	– 2.5	times	on	average	
compared	to	todays	rules
SA	to	IMA*
Interest	rate	risk 3.0
Credit	spread	risk 2.0
Equity	risk 4.1
Commodity risk 2.9
Foreign	exchange	risk 6.6
*	SA	excluding	RRAO	&	IMA	excluding	NMRF,	18th April	2016
FRTB	– What	is	the	timeline?	
©	Morten	Weis	2016
Basel	standard	final	January	2016
Further	Basel	rules:	CVA,	Capital	Floors,	
IRRBB,	… during	2016
EU process	2016	- 2018
BCBS:	local	regulation	in	force	01-01-19		
BCBS:	first	reporting	31-12-19	
Unknowns	are	plenty….
DG-FISMA	(EU)	have	just	
launched	consultation	
considering	lesser	SA	demands	
on	the	smallest	banks
Unknowns	are	plenty..	
CVA	Risk	Charge	seems	
to	become	part	of	FRTB	
SA	with	no	IMA	option
FRTB	– Why	start	preparing	now?
©	Morten	Weis	2016
• Large	increase	
in	data	and	
calculations
• SBA	require	full	
capital	markets	
IT	platform
• High	need	for	
automation	
• IMA	require	full	
set	of	new	
market	risk	
models
• SA	requires	full-
revaluation	for	
options	
including	
DMB's
• High	resource	
demands
• SA	no	longer	a	
job	for	Finance
• Hard	to	get	
specialist	
resources
• Cross-firm	
collaboration	
takes	time	to	
establish
• Market	data
• “real	prices”
• Trade	
classification
• Static	data
data people
ITmodels
And	do	not	forget	time	for	model	validation,	
audit	and	FSA	dialogue	and	approval
FRTB	– Why	start	preparing	now?
©	Morten	Weis	2016
data people
ITmodels
• Two	main	scenarios	for	Danish	banks:
1) Own	IT	system	development
2) Sector	based	shared	IT	provider
• In	both	scenarios,	planning,	 funding	
and	execution	will	take	considerable	
time	and	require	full-time	attention	by	
own	risk	specialists	as	well	as	your	IT	
provider
Case	A:
• In	both	SA	and	IMA	you	need	to	have	
complete	control	of	the	classification	of	
all	positions	in	the	Trading	Book	to	
know	what	calculations	are	required
• High	demand	on	data	processing	
for	high-volume	 products	
• Data	models	most	likely	need	to	
be	extended	to	support	FRTB	
classification	of	trades
Case	C:
• Risk	factor	sensitivity	calculations	are	
required	for	products	where	not	
commonly	used	– e.g.	for	credit	spread	
sensitivity	of	government	 bonds
• Configuration	 of	risk	calculations	takes	
long	time	due	to	numerical	complexity	
and	need	for	new	data	loads
Case	B:
• Clever	risk	data	aggregation	techniques	
may	increase	the	capacity	of	your	IT	
solution	significantly
• Many	leading	banks	and	vendors	apply	
in-memory	“cube”	technology	as	it	is	
well-suited	for	non-linear	measures	as	
in	IMA
• High	dimensionality	and	large	number	
of	numerical	computations
FRTB	– Why	start	preparing	now?
©	Morten	Weis	2016
data people
ITmodels
• For	both	SA	and	IMA	banks,	
data	demands	will	be	very	high
• Position	data
• Instrument	data
• Market	data
• Static	Data
• Reporting	dimensions
Market	data:	
• SA	and	IMA	banks	will	need	the	same	level	of	
detailed	market	data	to	calculate	risk	factor	
sensitivities
• IMA	banks	will	need	to	prove	that	historical	
prices	are	“real”	to	be	in	ES	model
• SA	banks	will	need	market	data	they	
previously	may	not	have	seen	need	for,	e.g.	
credit	spread	curves	for	government	bonds
Static	data:	
• SA	and	IMA	both	have	high	risk	factor	
dimensionality	 that	set	high	demands	on	
static	data
• E.g.	market	cap	of	equities	and	sector	
classification	fitting	FRTB	rules
• E.g.	issuer	ratings	on	all	bonds	and	equities	
and	ability	to	link	equity	and	bond	issuers	
Reporting	dimensions:
• Disclosure	requirements	are	still	not	final,	
but	BCBS356	in	hearing	till	10th June	set	high	
demands
• The	FSA	may	set	additional	requirements
• Expect:	trading	desk	structure,	trading	desk	
strategies	(detailed),	granular	risk	factor	
contribution	 to	final	capital	charge,	
hypothetical	portfolio	 capital	charges,….
Some	personal	experience	to	share	from	Nordea
©	Morten	Weis	2016
Key to	have	senior	Front	Office	management	involvement	in	FRTB	project	- business	
models	may	change	with	FRTB.	Trading	involvement	is	key	in	most	of	the	data	work:	
market	data	– instrument	data	– static	data	
Uncertainties	in	final	rules	favour	agile	model	and	IT	development	approach
IMA	require	close	integration	of	Front	Office,	Finance	and	Risk	IT	
The	large	international	banks	are	now	running	 big	FRTB	projects,	most	with	two-digit	
million EUR	budgets
You	are	not	alone	about	this	challenge	- sector	collaboration,	external	advise	and	
benchmarking	 was	very	helpful	for	getting	Nordea's	project	off	on	a	good	start
©	Morten	Weis	2016
Questions
&
Thank	You

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