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U.S.	Mortgage	Market	Trends	and	Indicators	for	
2016-17	
Confiden'al:	Please	do	not	share
US Fed’s rate hike and stronger economy is likely to make a posi7ve
impact to the U.S. overall mortgage market in 2016 - 17
0	
2,000	
4,000	
6,000	
8,000	
10,000	
12,000	
14,000	
16,000	
2012	 2013	 2014	 2015Q2	 2015Q3	 2015Q4	 2016Q1	 2016Q2	
All	holders	 Family	Residence	 Mul>-Family	Residence	 Non-Farm	 Farm	
$T	 Mortgage	Debt	Outstanding	for	the	U.S.	(2012	–	2016)		
§  Overall	growth	in	mortgage	debt	has	been	at	
moderate	1%	CAGR	(2012	to	1H2016)	
§  The	fastest	growing	segment	has	been	MulK-
Family	Residence	(at	5%	CAGR)	followed	by	
Farms	(at	4%	CAGR)	
§  Expected	interest	rate	hike	from	the	Federal	
Reserve	(with	more	rate	hikes	likely	to	follow	
in	2017),	stronger	U.S.	gross	domesKc	
product	growth	and	a	moderately	stronger	
jobs	market	should	bolster	the	economy	and	
raise	both	mortgage	rates	and	home	prices	
§  Major	challenge	has	been	access	to	credit,	
specifically	mortgage	instruments,	has	not	
been	easy	for	many	would-be	homebuyers	
but	that	is	set	to	change	
Source:	Federal	Reserve
Technology and data-driven ini7a7ves will mi7gate few key
challenges in the U.S. mortgage industry going forward
Hyper-compe>>on	in	the	market	as	
servicing	market	consists	of	bank	
servicers,	non-bank	or	independent	
mortgage	servicers,	and	sub-servicers	
ac>ng	as	third-party	vendors	to	
servicers	of	record		
Increasing	cost	of	services:		Between	
2008	and	2013,	cost	of	servicing	a	
performing	loan	has	increased	by	264%	
Increased	regulatory	and	
compliance	requirements	
Loss	mi>ga>on	considera>ons	post	non-
availability	of	Home	Affordable	
Modifica>on	Program	and	Home	
Affordable	Refinance	Program	
Leverage	advance	analyKcs	techniques	
for	idenKfy	the	target	customers	for	
cross/up	sell;	risk	idenKficaKon	and	
miKgaKon;	beZer	management	of	NPL	
(non-performing	loans)			
Through	configurable	workflow	and	
integraKon	with	soluKons	handling	of	
work	tasks,	servicers	can	save	Kme,	
boost	user	saKsfacKon	and	ensure	a	
more	predictable	outcome	across	the	
loan	servicing	lifecycle	
EvoluKon	of	data	driven	
iniKaKves	are	ways	to	manage	
KPI-driven	reporKng	and	on-
demand	audits	
This	can	be	miKgated	by	GSE	Loans	but	
they	should	establish	their	own	well-
documented	miKgaKon	plans	to	use	in	
applicable	circumstances.	
Solu>on	
3	Source:	Forbes,	Mortgage	ORB,	Karvy	
Key	
Challenge
Confiden'al:	Please	do	not	share	
Thanks	
Contact	us:	
Karvy	AnalyKcs	
www.karvyanalyKcs.com

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US Mortgage Industry: Market Trends and Challenges for 2016-17

  • 2. US Fed’s rate hike and stronger economy is likely to make a posi7ve impact to the U.S. overall mortgage market in 2016 - 17 0 2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 2012 2013 2014 2015Q2 2015Q3 2015Q4 2016Q1 2016Q2 All holders Family Residence Mul>-Family Residence Non-Farm Farm $T Mortgage Debt Outstanding for the U.S. (2012 – 2016) §  Overall growth in mortgage debt has been at moderate 1% CAGR (2012 to 1H2016) §  The fastest growing segment has been MulK- Family Residence (at 5% CAGR) followed by Farms (at 4% CAGR) §  Expected interest rate hike from the Federal Reserve (with more rate hikes likely to follow in 2017), stronger U.S. gross domesKc product growth and a moderately stronger jobs market should bolster the economy and raise both mortgage rates and home prices §  Major challenge has been access to credit, specifically mortgage instruments, has not been easy for many would-be homebuyers but that is set to change Source: Federal Reserve
  • 3. Technology and data-driven ini7a7ves will mi7gate few key challenges in the U.S. mortgage industry going forward Hyper-compe>>on in the market as servicing market consists of bank servicers, non-bank or independent mortgage servicers, and sub-servicers ac>ng as third-party vendors to servicers of record Increasing cost of services: Between 2008 and 2013, cost of servicing a performing loan has increased by 264% Increased regulatory and compliance requirements Loss mi>ga>on considera>ons post non- availability of Home Affordable Modifica>on Program and Home Affordable Refinance Program Leverage advance analyKcs techniques for idenKfy the target customers for cross/up sell; risk idenKficaKon and miKgaKon; beZer management of NPL (non-performing loans) Through configurable workflow and integraKon with soluKons handling of work tasks, servicers can save Kme, boost user saKsfacKon and ensure a more predictable outcome across the loan servicing lifecycle EvoluKon of data driven iniKaKves are ways to manage KPI-driven reporKng and on- demand audits This can be miKgated by GSE Loans but they should establish their own well- documented miKgaKon plans to use in applicable circumstances. Solu>on 3 Source: Forbes, Mortgage ORB, Karvy Key Challenge