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A Mentor’s Advice: Go Where Your Heart Leads and Learn to Say Yes (and No)

March is Women’s History Month and RiskSpan is marking the occasion by sharing a short series of posts featuring advice from women leaders in our industry. Amy Cutts

Today’s contributor is Dr. Amy Crews CuttsPresident and Chief Economist of AC Cutts and Associates, an economics and strategy consulting firm based in Reston, VA. She started her professional career as academic and she used that experience to build her network, soon landing at Freddie Mac. There she honed her professional skills and reputation as an economist, writer, and speaker. Amy was engaged by Equifax in 2011 to create the office of the chief economist. She has been recruited to serve on corporate and nonprofit advisory boards and elected to serve on boards of directors of leading economics associations. Amy has become an internationally recognized expert on consumer credit and economic policy and is a sought-after speaker and advisor. She is a participant in the Wall Street Journal Survey of Leading Economics, and her work has been cited in federal regulations and in cases before the U.S. Supreme Court.


Amy offers this guidance to women embarking on their careers (though it is applicable to everyone): 

#1 – Look deep for your talents and passion. We tend to think of jobs as titles rather than the small things that make up the role. The best day of my career came when I embraced the joy in the small parts of the job, and from that I was able to move mountains within the company and create the role that suited me.  

#2 – Build your networks always. When invited to join others for lunch, go! There are always deadlines, but this is just as important. You never know when you will learn a critically valuable piece of information from a casual conversation. When given the opportunity to present (internally or externally), take it, and know that they respect you enough to have asked and they care about what you have to say. Even a small opportunity may be the start of something big, so jump in with both feet.   

#3 – Speak up and, when you have a strong opinion, add your voice to the discussion (but never, ever, make it personal). In a corporate setting, you get one chance to speak critically of a plan, a policy, or problem. After that you need to move on because you were heard, even if they chose to go against your advice. Good counsel is valuable in every organization. Be someone others want to get advice from. 

We also asked Amy what, if anything, she might have done differently. Her response: 

My biggest regrets have come from not being openminded enough. I didn’t know at the time that the days of secretaries were numbered, but I rejected the suggestion of taking a typing class in high school because I had bigger plans (who knew we would spend our days typing?). I never learned how to code well because, at the time I was in college, computer science courses were mainly for mainframe applications (unfortunately, I did take APL programming, an already dying language in the 1980s). I have rejected job opportunities because I did not fit 100 percent of the job description but would later see someone much less capable in that role, with the prestige or promotion I should have tried for.


Our thanks to Amy for her valuable perspective!

Keep an eye on https://riskspan.com/insights/ this month for insights from other women we admire in mortgage and structured finance.


RiskSpan is proud to sponsor POWER OF VOICE BENEFIT. Girls Leadership teaches girls to exercise the power of their voice. #powerofvoice2021


March 31 Workshop: Advanced Forecasting Using Hierarchical Models

Recorded: March 31 | 1:00 p.m. ET

Traditional statistical models apply a single set of coefficients by pooling a large dataset or for specific cohorts.

Hierarchical models learn from feature behavior across dimensions or timeframes.

Suhrud Dagli and Jing Liu host an informative workshop applying hierarchical models to a variety of mortgage and structured finance use cases, including:

  • Changes in beta and covariance of portfolios across time
  • Loan performance across geographies and history – e.g., combining credit performance data from 2008 with unemployment-driven credit issues in 2020.
  • Issuer-level prepayment performance

Suhrud Dagli

Co-founder and Chief Innovation Officer, RiskSpan

Jing Liu

Model Developer, RiskSpan



A Mentor’s Advice: Raise Your Hand, Be Inquisitive, and Find Your Niche

March is Women’s History Month and RiskSpan is marking the occasion by sharing a short series of posts featuring advice from women leaders in our industry. Faith Schwartz

Today’s contributor is Faith Schwartz, President of Housing Finance Strategies, a strategic advisory services firm. She achieved a significant industry renown for having developed and led the HOPE NOW Alliance to unite the industry throughout the housing crisis. Faith was named among the “Most Powerful Women in Mortgage Banking” by National Mortgage Professional Magazine in 2018. She is also a HousingWire Vanguard Award winner.


Faith offers three core pieces of advice to young women (though it is applicable to everyone):

#1 – The business world is complex and there is much to learn.  Raise your hand often, be inquisitive, and always seek to understand the economics of every last detail of the business.

#2 Whatever your line of work, develop your unique expertise, develop a way to measure and report it, and share it often with those who are less knowledgeable. You will become a “go-to” resource for your colleagues.

#3 Establish yourself as an inclusive leader. So many people forget it is your peers, staff and leaders who make up the ecosystem of your company. Listen to many ideas and then come to your own conclusion. This will help you downstream as you lead new and exciting initiatives.

We also asked Faith what, if anything, she might have done differently. Her response:

My lessons learned are many: Be a better listener; think about how to most effectively communicate internally and externally – and to know the  difference. Understand the full corporate culture where you work to best adapt your own style and stay effective. Over my career, I have learned how to adapt, how to evolve in a matrixed leadership role and how to continue to be an influencer, regardless of title. To this day, I much prefer the title of “senior advisor” in most any role I play.


Our thanks to Faith for her valuable perspective!

Keep an eye on https://riskspan.com/insights/ this month for insights from other women we admire in mortgage and structured finance.


RiskSpan is proud to sponsor POWER OF VOICE BENEFIT. Girls Leadership teaches girls to exercise the power of their voice. #powerofvoice2021


Edge Enhancements: Spotlight AGENCY EDGE

RMTA2021 Winner2021 is off to a great start, but the Edge Team is not resting on its laurels.

On the heels of a year that saw more than a 30 percent increase in Edge subscribers, including a doubling of Agency Module users, we continue to add more of the Ginnie and GSE data you need.

Edge’s enhanced datasets make customizing S-curves even easier.

For example:

Loans with a principal deferral pay more slowly than loans without them when faced with the same refinancing incentive.

But how much more slowly?

Edge lets you quantify the difference, so you can adjust your models accordingly.

7 of the 10 largest U.S. broker/dealers use Edge to analyze Agency prepays.
Find out why.

AICPA


What Will Non-QM Underwriting Look Like After the Pandemic?

On January 21st, RiskSpan senior managing director Bill Moretti moderated a panel at IMN’s Non-QM Virtual Forum.

The discussion, entitled Underwriting Credit Standards, Assessing Ability to Pay & Evaluating Default Risk: Are You Protecting Yourself Against a Second Wave or Going All Out?” featured a cross-section of industry participants. These included a rating agency (DBRS Morningstar)wholesale originator (Oaktree Funding Corp.), an aggregator/securitizer (Annaly Capital Management) and two technology companies (RiskSpan and LoanScorecard)each of whom obviously approaches the underlying question from a slightly different perspective.    

Underwriting standards, of course, are best explored in the context of evaluating credit risk. Unprecedented market disruption in response to Covid clearly laid bare the fact that many (if not most) mortgage borrowers are not in a financial position to endure a significant curtailment to income for any sustained period. The discussion focused on what this means for new-origination underwriting standards after Covid.   

The panel tackled a number of questions, including: 

  • How is the market assessing risks in new loans given the current market conditions?
  • How are income declines considered? 
  • What role does forbearance play? 
  • Should underwriters be looking harder at borrower net worth or taking other assets into account? 
  • Should PPP payments be counted as borrower income? 
  • Should DSCR calculations be revisited or modified for investment-property borrowers? 
  • Is the market taking alternative and other non-traditional data into account when assessing credit risk? 

A review of non-QM performance in 2020 relative to that of prime and GSE (CRT) loans revealed some interesting insights: 

  • Non-QM loans reached a significantly higher 30-day DQ peak (13% in April and May) compared to 4% and 3% for prime and CRT loans, respectivelyAn analogous gap was observed prior to Covid, however. 
  • 60+ day DQ (including BK/FC/REO) showed something similar with non-QM loans peaking at 14% in June/July compared with 4% and 5% for prime and CRT loans, respectively. These rates improved by the end of the year but remain elevated relative to pre-Covid levels. The panelists attribute this to forbearance activity.  
  • CDRs began trending upward in July and August, reaching 10 bps across all classes. CRT CDRs spiked to 50 bps in September and October before retreating to 40 bps, while prime and non-QM CDRs ramped up to the 30 bps and 40 bps, respectively, by year-end. 
  • CPRs among non-QM loans held steady throughout the year at around 25%Prime and CRT loans experienced a steady increase in CPR, rising from 20%-25% earlier in the year to approximately 45% by the end of the year. Record refinancing activity appeared to drive much of this. 

Partially in response to Covid, rating agencies have implemented changes in their requirements for structural features, including the following: 

  • Waterfall changed from prorata allocation to full sequential pay 
  • Triggers eliminated based on DQ, loss and credit enhancement 
  • DQ P&I advancing assumptions reduced from 4-6 months to 0-3 months 
  • Credit enhancement increased, especially among lowerrated tranches — excess spread and reserve account requirements are now required 
  • Rating scenario analyses and stress assumptions increased to reflect Covid forbearance assumptions 

The pandemic created a significant disruption for non-QM origination and acquisition. Some market participants struggled to adapt during the pandemic’s early months as funding and margin calls impacted mortgage buyers.  Aggregators who maintained strong relationships with their originators had more success maintaining funding commitments. These relationships were critical to maintaining overall market health and liquidity. An ability to adapt, allow forbearance and modificationsand work with borrowers was viewed as equally important.  

How is underwriting likely to evolve? 

The panelists agreed that a revamped underwriting process must consider different sources of income as well as borrower assets and reserves. 

Additional borrower requirements that have been proposed include the following: 

  • Consistency of income in the borrower’s work industry 
  • Additional weight accorded to other assets held by a borrower 
  • Consideration of PPP loans as borrower assets but not income 
  • Stricter underwriting for DSCR loans including a required reserve 
  • Additional scrutiny of loans made to foreign nationals 

The pandemic had an outsized effect on nonQM origination volume, which continues to experience headwinds from Agency-eligible productionThere’s just no getting around the fact that, all else equal, brokers find it more profitable (not to mention easier) to focus on Agency production. The importance of specialization continues to be felt, as nonQM aggregators tend to focus more of their attention and efforts on pure NonQM origination shopsas opposed to full-service mortgage bankers, which originate a mix of Agency and non-Agency mortgages. Non-QM underwriting standards will likely need to take this reality into account. 

What role will technology play? 

While not yet as ubiquitous as in Agency lending, front-end automated underwriting systems continue to make strides in the non-QM world. This growth in AUS consistency and efficiency is a critical component to creating a digital environment for mortgages and accelerating the approval process while maintaining strong risk management and compliance. 

The industry is crying out for a clean end-to-end loan acquisition solution for aggregators and other wholeloan portfolio investorsInvestors are increasingly looking to get into whole loans, but the secondary wholeloan acquisition process is extremely demanding from an operational perspective. RiskSpan’s Edge Platform enables residential wholeloan buyers to outsource many of these functions. 

Beyond whole loans, non-QM securitization data and analytics continues to be a source of angstdue in part to inconsistent forbearance and modification reporting. RiskSpan is seeking to alleviate these pain points by working with clients to standardize and normalize reporting inconsistencies, particularly in the non-QM space. The goal is to provide a way for investors and other market participants to benchmark deals against one another, confident that delinquency, forbearance, and modification comparisons are truly apples-to-apples.  

Finally, the panel discussed industry efforts to improve clarity around mapping (or bucketizing) loan types. Doing this is challenging in the nonQM sector because there are so many (literally hundredsdifferent types of loan documentation requirements. Understanding these is vital to modeling credit risk. Mapping time series data based on the loan type is hardRiskSpan is at the forefront of developing methodologies to speed and simplify analysis by logically mapping many different loan types into fewer buckets. 


Contact us for a free demo and to discuss how RiskSpan can combine its powerful Edge Platform with expert services to help you tackle your thorniest underwriting data and modeling challenges. 



RiskSpan’s Edge Platform Wins 2021 Buy-Side Market Risk Management Product of the Year

RiskSpan, a leading SaaS provider of risk management, data and analytics has been awarded Buy-Side Market Risk Management Product of the Year for its Edge Platform at Risk.net’s 2021 Risk Markets Technology Awards. The honor marks Edge’s second major industry award in 2021, having also been named the winner of Chartis Research’s Risk-as-a-Service category.

RMTA21-BSMRMPOTYLicensed by some of the largest asset managers and Insurance companies in the U.S., a significant component of the Edge Platform’s value is derived from its ability to serve as a one-stop shop for research, pre-trade analytics, pricing and risk quantification, and reporting. Edge’s cloud-native infrastructure allows RiskSpan clients to scale as needs change and is supported by RiskSpan’s unparalleled team of domain experts — seasoned practitioners who know the needs and pain points of the industry firsthand

Adjudicators cited the platform’s “strong data management and overall technology” and “best-practice quant design for MBS, structured products and loans” as key factors in the designation.

GET A DEMO

Edge’s flexible configurability enables users to create custom views of their portfolio or potential trades at any level of granularity and down to the loan level. The platform enables researchers and analysts to integrate conventional and alternative data from an impressive array of sources to identify impacts that might otherwise go overlooked.

For clients requiring a fully supported risk-analytics-as-a-service offering, the Edge Platform provides a comprehensive data analysis, predictive modeling, portfolio benchmarking and reporting solution tailored to individual client needs.

An optional studio-level tier incorporates machine learning and data scientist support in order to leverage unstructured and alternative datasets in the analysis.


Contact us to learn how Edge’s capabilities can transform your mortgage and structured product analytics. 

Learn more about Edge at https://riskspan.com/edge-platform/ 


Nearly $8 Trillion in Senior Home Equity Pushes Reverse Mortgage Market Index Upward

The NRMLA/RiskSpan Reverse Mortgage Market Index (RMMI) rose to 280.99 during the third quarter of 2020, an all-time high. This reflects a 1.6% increase in senior home equity, which now stands at an estimated $7.82 trillion. Growth in senior homeowner’s wealth was largely attributable to an estimated 1.6% (or $149 billion) increase in senior housing value, offset by 1.6% (or $28 billion) increase of senior-held mortgage debt.

The National Reverse Mortgage Lenders Association (NRMLA) and RiskSpan have published the Reverse Mortgage Market Index (RMMI) since the beginning of 2000. The RMMI provides a trending measure of home equity among U.S. homeowners age 62 and older.

The RMMI defines senior home equity as the difference between the aggregate value of homes owned and occupied by seniors and the aggregate mortgage balance secured by those homes. This measure enables NRMLA to help gauge the potential market size of those who may be qualified for a reverse mortgage product. The chart above illustrates the steady increase in this index since the end of the 2008 recession.

Increasing house prices drive the index’s upward trend, mitigated to some extent by a corresponding modest increase in mortgage debt held by seniors. The most recent RMMI report (reflecting data as of the end of Q3 20202) was published last week on NRMLA’s website.

Note on the Limitations of RMMI

To calculate the RMMI, an econometric tool is developed to estimate senior housing value, senior mortgage level, and senior equity using data gathered from various public resources such as American Community Survey (ACS), Federal Reserve Flow of Funds (Z.1), and FHFA housing price indexes (HPI). The RMMI is simply the senior equity level at time of measure relative to that of the base quarter in 2000.[1]  The main limitation of RMMI is non-consecutive data, such as census population. We use a smoothing approach to estimate data in between the observable periods and continue to look for ways to improve our methodology and find more robust data to improve the precision of the results. Until then, the RMMI and its relative metrics (values, mortgages, home equities) are best analyzed at a trending macro level, rather than at more granular levels, such as MSA.


[1] There was a change in RMMI methodology in Q3 2015 mainly to calibrate senior homeowner population and senior housing values observed in 2013 American Community Survey (ACS).


RiskSpan Sponsoring IMN’s Non-QM Virtual Forum, January 21, 2021

RiskSpan is thrilled to be sponsoring IMN’s Non-QM Virtual Forum on Thursday, January 21, 2021. RiskSpan Senior Managing Director Bill Moretti will be moderating a panel at 2:50-3:35 PM.  

Click HERE to view the agenda along with details on Bill’s panel: “Underwriting Credit Standards, Assessing Ability To Pay & Evaluating Default Risk: Are You Protecting Yourself Against A Second Wave Of Coronavirus Or Going All Out?” 

Bill will be joined at the forum by a team of RiskSpan executives and other leaders, including CEO Bernadette Kogler, CBO Maulik Doshi, and managing directors, Pat GreeneFowad Sheikh, and David Andrukonis. They will be available for virtual meetings throughout the day. 


January 13 Workshop: Pattern Recognition in Time Series Data

Recorded: January 13, 2021 | 1:00 p.m. ET

Traders and investors rely on time series patterns generated by asset performance to inform and guide their trading and asset allocation decisions. Economists take advantage of analogous patterns in macroeconomic and market data to forecast recessions and other market events.

But you need to be able to spot these patterns in order to use them.

Catch the latest in RiskSpan’s series of machine learning and data workshops as Chirag Soni and Jing Liu, two of RiskSpan’s experts working at the intersection of data science and capital markets, demonstrate how advanced machine learning techniques such as Dynamic Time Warping and KShape can be applied to automate time series analysis and effectively detect patterns hiding in your data.

Chirag and Jing will discuss specific applications, explain popular algorithms, and walk through code examples.

Join us on Wednesday, January 13th! 



Top Hedge Fund Administrator: Risk Metrics & Performance Reports via Tableau and the Cloud​

A leading hedge fund administrator sought a better way to provide compliance reporting and overnight risk and portfolio reporting for its clients.

Reporting at this scale requires extraordinarily flexibility in computational bandwidth.

The Solution

RiskSpan delivered computation and distribution via the cloud of all required analytics and risk metrics to all relevant parties using the flexibility and attractive visualization of a seamless Tableau integration.

  • Ingestion, validation, and integration of disparate data sources (rates, implied volatility data and terms and conditions from six data vendor sources)
  • Reporting, distribution and publishing of the client’s full range of risk metrics, including VaR, custom aggregation, scenario analyses, interest rate shocks and other stress testing — all readily viewable to every client stakeholder via the cloud using Tableau.

The Edge We Provided

A fully hosted, outsourced solution. The administrator’s highly dynamic reports are delivered by way of a secure, hosted environment to a large number of diverse, institutional clients.


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