XML 24 R13.htm IDEA: XBRL DOCUMENT v3.19.2
Fair Value Measurements
6 Months Ended
Jun. 30, 2019
Fair Value Disclosures [Abstract]  
Fair Value Measurements Fair Value Measurements

The Company applies fair value guidance in accordance with GAAP to account for its financial instruments. The Company categorizes its financial instruments, based on the priority of the inputs to the valuation technique, into a three-level fair value hierarchy. The fair value hierarchy gives the highest priority to quoted prices in active markets for identical assets or liabilities (Level 1) and the lowest priority to unobservable inputs (Level 3). If the inputs used to measure the financial instruments fall within different levels of the hierarchy, the categorization is based on the lowest level input that is significant to the fair value measurement of the instrument. Financial assets and liabilities recorded at fair value on the Consolidated Statements of Financial Condition or disclosed in the related notes are categorized based on the inputs to the valuation techniques as follows:

Level 1 – inputs to the valuation methodology are quoted prices (unadjusted) for identical assets and liabilities in active markets.

Level 2 – inputs to the valuation methodology include quoted prices for similar assets and liabilities in active markets, and inputs that are observable for the asset or liability, either directly or indirectly, for substantially the full term of the financial instrument.

Level 3 – inputs to the valuation methodology are unobservable and significant to fair value.

Fair value measurements categorized within Level 3 are sensitive to changes in the assumptions or methodology used to determine fair value and such changes could result in a significant increase or decrease in the fair value. Any changes to the valuation methodology are reviewed by management to ensure the changes are appropriate. As markets and products evolve and the pricing for certain products becomes more transparent, the Company will continue to refine its valuation methodologies. The methodology utilized by the Company for the periods presented is unchanged. The methods used to produce a fair value calculation may not be indicative of net realizable value or reflective of future fair values. Furthermore, the Company believes its valuation methods are appropriate and consistent with other market participants. Using different methodologies, or assumptions, to determine the fair value of certain financial instruments could result in a different estimate of
fair value at the reporting date. The Company uses inputs that are current as of the measurement date, which may include periods of market dislocation, during which price transparency may be reduced.

During times of market dislocation, the observability of prices and inputs can be difficult for certain investments. If third party pricing services are unable to provide a price for an asset, or if the price provided by them is deemed unreliable by the Company, then the asset will be valued at its fair value as determined by the Company without validation to third-party pricing. Illiquid investments typically experience greater price volatility as an active market does not exist. Observability of prices and inputs can vary significantly from period to period and may cause instruments to change classifications within the three level hierarchy.

A description of the methodologies utilized by the Company to estimate the fair value of its financial instruments by instrument class follows:
Agency MBS and Non-Agency RMBS

The Company determines the fair value of all of its investment securities based on discounted cash flows utilizing an internal pricing model that incorporates factors such as coupon, prepayment speeds, loan size, collateral composition, borrower characteristics, expected interest rates, life caps, periodic caps, reset dates, collateral seasoning, delinquency, expected losses, expected default severity, credit enhancement, and other pertinent factors. To corroborate that the estimates of fair values generated by these internal models are reflective of current market prices, the Company compares the fair values generated by the model to non-binding independent prices provided by two independent third party pricing services. For certain highly liquid asset classes, such as Agency fixed-rate pass-through bonds, the Company’s valuations are also compared to quoted prices for To-Be-Announced, or TBA, securities.

Each quarter the Company develops thresholds which are determined utilizing current bid/ask spreads, liquidity, price volatility and other factors as appropriate. If internally developed model prices differ from the independent prices provided by greater than a market derived predetermined threshold for the period, the Company highlights these differences for further review, both internally and with the third party pricing service. The Company obtains the inputs used by the third party pricing services and compares them to the Company’s inputs. The Company updates its own inputs if the Company determines the third party pricing inputs more accurately reflect the current market environment. If the Company believes that its internally developed inputs more accurately reflect the current market environment, it will request that the third party pricing service review market factors that may not have been considered by the third party pricing service and provide updated prices. The Company reconciles and resolves all pricing differences in excess of the predetermined thresholds before a final price is established. At June 30, 2019, ten investment holdings with an internally developed fair value of $80 million had a difference between the model generated prices and third party prices provided in excess of the derived predetermined threshold for the period. The internally developed prices were $9 million higher than the third party prices provided of $71 million. After review and discussion, the Company affirmed and valued the investments at the higher internally developed prices. No other differences were noted at June 30, 2019 in excess of the derived predetermined threshold for the period. At December 31, 2018, nineteen investment holdings with an internally developed fair value of $127 million had a difference between the model generated prices and third party prices provided in excess of the derived predetermined threshold for the period. The internally developed prices were $4 million higher than the third party prices provided of $123 million. After review and discussion, the Company affirmed and valued the investments at the higher internally developed prices. No other differences were noted at December 31, 2018 in excess of the derived predetermined threshold for the period.

The Company’s estimate of prepayment, default and severity curves all involve judgment and assumptions that are deemed to be significant to the fair value measurement process, which renders the resulting Non-Agency RMBS fair value estimates Level 3 inputs in the fair value hierarchy. As the fair values of Agency MBS are more observable, these investments are classified as level 2 in the fair value hierarchy.

Loans Held for Investment
Loans consisting of seasoned subprime residential mortgage loans:
The Company estimates the fair value of its Loans held for investment consisting of seasoned subprime residential mortgage loans on a loan by loan basis using an internally developed model which compares the loan held by the Company with a loan currently offered in the market. The loan price is adjusted in the model by considering the loan factors which would impact the value of a loan. These loan factors include: loan coupon as compared to coupon currently available in the market, FICO, loan-to-value ratios, delinquency history, owner occupancy, and property type, among other factors. A baseline is developed for each significant loan factor and adjusts the price up or down depending on how that factor for each specific loan compares to the
baseline rate. Generally, the most significant impact on loan value is the loan interest rate as compared to interest rates currently available in the market and delinquency history.

The Company also monitors market activity to identify trades which may be used to compare internally developed prices; however, as the portfolio of loans held at fair value is a seasoned subprime pool of mortgage loans, comparable loan pools are not common or directly comparable. There are limited transactions in the market place to develop a comprehensive direct range of values.

The Company reviews the fair values generated by the model to determine whether prices are reflective of the current market by corroborating its estimates of fair value by comparing the results to non-binding independent prices provided by two independent third party pricing services for the loan portfolio. Each quarter the Company develops thresholds which are determined utilizing the securitization market.

If the internally developed fair values of the loan pools differ from the independent prices provided by greater than a predetermined threshold for the period, the Company highlights these differences for further review, both internally and with the third party pricing service. The Company obtains certain inputs used by the third party pricing services and evaluates them for reasonableness. The Company updates its own model if the Company determines the third party pricing inputs more accurately reflect the current market environment or observed information from the third party vendors. If the Company believes that its internally developed inputs more accurately reflect the current market environment, it will request that the third party pricing service review market factors that may not have been considered by the third party pricing service. The Company reconciles and resolves all pricing differences in excess of the predetermined thresholds before a final price is established.

At June 30, 2019, the internally developed fair value of one loan pool of $167 million had a difference between the model generated prices and third party prices provided in excess of the derived predetermined threshold for the period. The internally developed prices were $26 million higher than the third party price provided of $141 million. After review and discussion, the Company affirmed and valued the investment at the higher internally developed price. At December 31, 2018, the internally developed fair value of three loan pools of $489 million had a difference between the model generated prices and third party prices provided in excess of the derived predetermined threshold for the period. The internally developed prices were $3 million higher than the third party price provided of $486 million. After review and discussion, the Company affirmed and valued the investment at the higher internally developed price.

The Company’s estimates of fair value of Loans held for investment involve management judgment and assumptions that are deemed to be significant to the fair value measurement process, which renders the resulting fair value estimates level 3 inputs in the fair value hierarchy.

Loans collateralized by jumbo, prime residential mortgages:

The loans collateralized by jumbo, prime residential mortgages are carried at fair value. The loans are held as part of a consolidated Collateralized Financing Entity, or a CFE. A CFE is a variable interest entity that holds financial assets, issues beneficial interests in those assets and has no more than nominal equity and the beneficial interests have contractual recourse only to the related assets of the CFE. Accounting guidance for CFEs allow the Company to elect to measure the CFE’s financial assets using the fair value of the CFE’s financial liabilities as the fair values of the financial liabilities of the CFE are more observable. Therefore, the fair value of the loans collateralized by jumbo, prime residential mortgages is based on the fair value of the financial liabilities. See discussion of the fair value of Securitized Debt, collateralized by Loans Held for Investment at fair value below.

As the more observable financial liabilities are considered level 3 in the fair value hierarchy, the Loans collateralized by jumbo, prime residential mortgages are also level 3 in the fair value hierarchy.

Securitized Debt, collateralized by Non-Agency RMBS

The Company carries securitized debt, collateralized by Non-Agency RMBS at the principal balance outstanding plus unamortized premiums, less unaccreted discounts recorded in connection with the financing of the loans or RMBS with third parties. For disclosure purposes, the Company estimates the fair value of securitized debt, collateralized by Non-Agency RMBS by estimating the future cash flows associated with the underlying assets collateralizing the secured debt outstanding. The Company models the fair value of each underlying asset by considering, among other items, the structure of the underlying security, coupon, servicer, delinquency, actual and expected defaults, actual and expected default severities, reset indices, and prepayment speeds in conjunction with market research for similar collateral performance and management’s expectations of general economic conditions in the sector and other economic factors. This process, including the review process, is consistent
with the process used for Agency MBS and Non-Agency RMBS using internal models. For further discussion of the valuation process and benchmarking process, see Agency MBS and Non-Agency RMBS discussion herein.

The Company’s estimates of fair value of securitized debt, collateralized by Non-Agency RMBS involve management’s judgment and assumptions that are deemed to be significant to the fair value measurement process, which renders the resulting fair value estimates level 3 inputs in the fair value hierarchy.

Securitized Debt, collateralized by Loans Held for Investment

The process for determining the fair value of securitized debt, collateralized by loans held for investment is based on discounted cash flows utilizing an internal pricing model that incorporates factors such as coupon, prepayment speeds, loan size, collateral composition, borrower characteristics, expected interest rates, life caps, periodic caps, reset dates, collateral seasoning, expected losses, expected default severity, credit enhancement, and other pertinent factors. This process, including the review process, is consistent with the process used for Agency MBS and Non-Agency RMBS using internal models. For further discussion of the valuation process and benchmarking process, see Agency MBS and Non-Agency RMBS discussion herein. The primary cause of the change in fair value is due to market demand and changes in credit risk of mortgage loans.

The Company’s estimates of fair value of securitized debt, collateralized by loans held for investment involve management’s judgment and assumptions that are deemed to be significant to the fair value measurement process, which renders the resulting fair value estimates level 3 inputs in the fair value hierarchy.

Fair value option

The table below shows the unpaid principal, fair value and impact of change in fair value on each of the financial instruments carried with fair value option as of June 30, 2019 and December 31, 2018, respectively:
 
June 30, 2019
 
(dollars in thousands)
 
Unpaid
Principal/
Notional
Fair Value
 
Quarter to Date Gain/(Loss) on Change in Fair Value
Year to Date Gain/(Loss) on Change in Fair Value
Assets:
 
 
 
 
 
Non-agency RMBS
 
 
 
 
 
Senior
44,353

45,245

 
392

620

Subordinated
379,784

282,591

 
5,780

7,099

Senior, interest-only
6,649,398

295,897

 
11,511

35,716

Subordinated, interest-only
213,940

12,299

 
944

875

Agency MBS
 
 
 
 
 
Residential Pass-through
7,862,971

8,164,681

 
55,585

107,597

Commercial Pass-through
1,758,849

1,874,105

 
84,286

125,448

Interest-only
2,795,851

151,054

 
(4,125
)
116

Loans held for investment, at fair value
11,941,767

12,301,263

 
119,839

226,384

Liabilities:
 

 

 
 

 

Securitized debt at fair value, collateralized by loans held for investment
7,884,686

7,881,087

 
(83,464
)
(112,294
)

 
December 31, 2018
 
(dollars in thousands)
 
Unpaid
Principal/
Notional
Fair Value
 
Quarter to Date Gain/(Loss) on Change in Fair Value
Year to Date Gain/(Loss) on Change in Fair Value
Assets:
 
 
 
 
 
Non-agency RMBS
 
 
 
 
 
Subordinated
N/A

$
12,014

 
$
404

$
(145
)
Senior, interest-only
5,667,198

254,890

 
22,924

20,095

Subordinated, interest-only
221,549

11,649

 
(270
)
1,261

Agency MBS
 
 
 
 
 
Residential Pass-through
7,573,835

7,739,382

 
78,203

31,185

Commercial Pass-through
1,607,626

1,595,681

 
15,019

(35,002
)
Interest-only
3,028,572

133,346

 
1,441

4,230

Loans held for investment, at fair value
12,432,582

12,572,581

 
(44,253
)
(27,201
)
Liabilities:
 
 
 
 
 
Securitized debt at fair value, collateralized by loans held for investment
8,561,319

8,455,376

 
11,368

52,209



Derivatives

Interest Rate Swaps and Swaptions

The Company uses clearing exchange market prices to determine the fair value of its exchange cleared interest rate swaps. For bi-lateral swaps, the Company determines the fair value based on the net present value of expected future cash flows on the swap. The Company uses option pricing model to determine the fair value of its swaptions. For bi-lateral swaps and swaptions, the Company compares its own estimate of fair value with counterparty prices to evaluate for reasonableness. Both the clearing exchange and counter-party pricing quotes, incorporate common market pricing methods, including a spread measurement to the Treasury yield curve or interest rate swap curve as well as underlying characteristics of the particular contract. Interest rate swaps and swaptions are modeled by the Company by incorporating such factors as the term to maturity, swap curve, overnight index swap rates, and the payment rates on the fixed portion of the interest rate swaps. The Company has classified the characteristics used to determine the fair value of interest rate swaps and swaptions as Level 2 inputs in the fair value hierarchy.

Treasury Futures

The fair value of Treasury futures is determined by quoted market prices in an active market. The Company has classified the characteristics used to determine the fair value of Treasury futures as Level 1 inputs in the fair value hierarchy.

Repurchase Agreements

Repurchase agreements are collateralized financing transactions utilized by the Company to acquire investment securities. Due to the short term nature of these financial instruments, the Company estimates the fair value of these repurchase agreements using the contractual obligation plus accrued interest payable.

Short-term Financial Instruments

The carrying value of cash and cash equivalents, accrued interest receivable, dividends payable, payable for investments purchased, receivable for investments sold and accrued interest payable are considered to be a reasonable estimate of fair value due to the short term nature and low credit risk of these short-term financial instruments.

The Company’s financial assets and liabilities carried at fair value on a recurring basis, including the level in the fair value hierarchy, at June 30, 2019 and December 31, 2018 are presented below.

 
June 30, 2019
 
(dollars in thousands)  
 
Level 1
Level 2
Level 3
Counterparty and Cash Collateral, netting
Total
Assets:
 

 

 

 

 

Non-Agency RMBS, at fair value
$

$

$
2,699,367

$

$
2,699,367

Agency MBS, at fair value

12,154,575



12,154,575

Loans held for investment, at fair value


12,301,263


12,301,263

Derivatives

4,767


(4,556
)
211

 
 
 
 
 
 
Liabilities:
 

 

 

 

 

Securitized debt at fair value, collateralized by loans held for investment


7,881,087


7,881,087

Derivatives
9,247

311,609


(320,856
)


 
December 31, 2018
 
(dollars in thousands)
 
Level 1
Level 2
Level 3
Counterparty and Cash Collateral, netting
Total
Assets:
 
 
 
 
 
Non-Agency RMBS, at fair value
$

$

2,486,130

$

$
2,486,130

Agency MBS, at fair value

12,188,950



12,188,950

Loans held for investment, at fair value


12,572,581


12,572,581

Derivatives

89,121


(51,653
)
37,468

 
 
 
 
 
 
Liabilities:
 

 

 

 

 

Securitized debt at fair value, collateralized by loans held for investment


8,455,376


8,455,376

Derivatives
13,375

169,790


(183,165
)



The table below provides a summary of the changes in the fair value of securities classified as Level 3 at June 30, 2019 and December 31, 2018.
Fair Value Reconciliation, Level 3

For the Six Months Ended, June 30, 2019

(dollars in thousands)
 
Non-Agency RMBS
Loans held for investment
Securitized Debt
Beginning balance Level 3
$
2,486,130

$
12,572,581

$
8,455,376

Transfers in to Level 3



Transfers out of Level 3



Purchases of assets/ issuance of debt
339,401

1,137,244

75,054

Principal payments
(196,261
)
(806,677
)
(748,949
)
Sales and Settlements
(5,167
)
(784,373
)

Net accretion (amortization)
50,704

(43,896
)
(12,688
)
Gains (losses) included in net income
 
 
 
Other than temporary credit impairment losses
(4,853
)


Realized gains (losses) on sales and settlements
(1,095
)


Net unrealized gains (losses) included in income
44,311

226,384

112,294

Gains (losses) included in other comprehensive income
 
 
 
   Total unrealized gains (losses) for the period
(13,803
)


Ending balance Level 3
$
2,699,367

$
12,301,263

$
7,881,087


Fair Value Reconciliation, Level 3
 
For the Year Ended, December 31, 2018
 
(dollars in thousands)
 
Non-Agency RMBS
Loans held for investment
Securitized Debt
Beginning balance Level 3
$
2,851,316

$
13,678,263

$
9,388,657

Transfers in to Level 3



Transfers out of Level 3



Purchases of assets/ issuance of debt
253,952

1,671,330

1,769,539

Principal payments
(521,109
)
(1,859,155
)
(1,778,625
)
Sales and Settlements
(100,786
)
(807,364
)
(834,414
)
Net accretion (amortization)
101,088

(83,393
)
(11,197
)
Gains (losses) included in net income
 

 

 

Other than temporary credit impairment losses
(21,791
)


Realized gains (losses) on sales and settlements
201

101

(26,375
)
Net unrealized gains (losses) included in income
21,208

(27,201
)
(52,209
)
Gains (losses) included in other comprehensive income
 
 
 
   Total unrealized gains (losses) for the period
(97,949
)


Ending balance Level 3
$
2,486,130

$
12,572,581

$
8,455,376



There were no transfers in or out from Level 3, during the quarter ended June 30, 2019 and during the year ended December 31, 2018.

The significant unobservable inputs used in the fair value measurement of the Company’s Non-Agency RMBS and securitized debt are the weighted average discount rates, constant prepayment speed, or CPR, cumulative default rate, and the loss severity.

Constant Prepayment Rates

The prepayment speed specifies the percentage of the collateral balance that is expected to prepay at each point in the future. The prepayment speed is based on factors such as collateral FICO score, loan-to-value ratio, debt-to-income ratio, and vintage on a loan level basis and is scaled up or down to reflect recent collateral-specific prepayment experience as obtained from remittance reports and market data services.

For securitized debt carried at fair value issued at a premium, as prepayment speeds increase, the amount of interest expense the Company recognizes decreases as the issued premium on the debt amortizes faster than expected. Conversely, decreases in prepayment speeds result in increased expense and can extend the period over which the Company amortizes the premium.

For debt issued at a discount, as prepayment speeds increase, the amount of interest the Company expenses increases from the acceleration of the accretion of the discount into interest expense. Conversely, decreases in prepayment speeds result in decreased expense as the accretion of the discount into interest expense occurs over a longer period.

Constant Default Rates

Constant default rates represent an annualized rate of default on a group of mortgages. The constant default rate, or CDR, represents the percentage of outstanding principal balances in the pool that are in default, which typically equates to the home being past 60-day and 90-day notices and in the foreclosure process. When default rates increase, expected cash flows on the underlying collateral decreases. When default rates decrease, expected cash flows on the underlying collateral increases.

Default vectors are determined from the current “pipeline” of loans that are more than 30 days delinquent, in foreclosure, bankruptcy, or are REO. These delinquent loans determine the first 30 months of the default curve. Beyond month 30, the default curve transitions to a value that is reflective of a portion of the current delinquency pipeline.

Loss Severity

Loss severity rates reflect the amount of loss expected from a foreclosure and liquidation of the underlying collateral in the mortgage loan pool. When a mortgage loan is foreclosed the collateral is sold and the resulting proceeds are used to settle the outstanding obligation. In many circumstances, the proceeds from the sale do not fully repay the outstanding obligation. In these cases, a loss is incurred by the lender. Loss severity is used to predict how costly future losses are likely to be. An increase in loss severity results in a decrease in expected future cash flows. A decrease in loss severity results in an increase in expected future cash flows.

The curve generated to reflect the Company’s expected loss severity is based on collateral-specific experience with consideration given to other mitigating collateral characteristics. Characteristics such as seasoning are taken into consideration because severities tend to initially increase on newly originated securities, before beginning to decline as the collateral ages and eventually stabilize. Collateral characteristics such as loan size, loan-to-value, and geographic location of collateral also effect loss severity.

Discount Rate

The discount rate refers to the interest rate used in the discounted cash flow analysis to determine the present value of future cash flows. The discount rate takes into account not just the time value of money, but also the risk or uncertainty of future cash flows. An increased uncertainty of future cash flows results in a higher discount rate. The discount rate used to calculate the present value of the expected future cash flows is based on the discount rate implicit in the security as of the last measurement date. As discount rates move up, the discounted cash flows are reduced.

The discount rates applied to the expected cash flows to determine fair value are derived from a range of observable prices on securities backed by similar collateral. As the market becomes more or less liquid, the availability of these observable inputs will change.

Sensitivity of Significant Inputs – Non-Agency RMBS and securitized debt, collateralized by loans held for investment

Prepayment speeds, as reflected by the CPR, vary according to interest rates, the type of financial instrument, conditions in financial markets, and other factors, none of which can be predicted with any certainty. In general, when interest rates rise, it is relatively less attractive for borrowers to refinance their mortgage loans, and as a result, prepayment speeds tend to decrease. When interest rates fall, prepayment speeds tend to increase. For RMBS investments purchased at a premium, as prepayment speeds increase, the amount of income the Company earns decreases as the purchase premium on the bonds amortizes faster than expected. Conversely, decreases in prepayment speeds result in increased income and can extend the period over which the Company amortizes the purchase premium. For RMBS investments purchased at a discount, as prepayment speeds increase, the amount of income the Company earns increases from the acceleration of the accretion of the discount into interest income. Conversely, decreases in prepayment speeds result in decreased income as the accretion of the purchase discount into interest income occurs over a longer period.

A summary of the significant inputs used to estimate the fair value of Non-Agency RMBS held for investment at fair value as of June 30, 2019 and December 31, 2018 follows:


June 30, 2019

Significant Inputs
  
Discount Rate
CPR
CDR
Loss Severity
  
Range
Weighted Average
Range
Weighted Average
Range
Weighted Average
Range
Weighted Average
Non-Agency RMBS
 
 
 
 
 
 
 
 
Senior
3% -8%
4.2%
1% -20%
6.1%
0% -85%
4.6%
35% -95%
48.6%
Senior interest-only
0% -100%
10.9%
4% -32%
12.4%
0% -78%
3.2%
30% -95%
44.1%
Subordinated
3% -13%
5.5%
4% -25%
9.2%
0% -25%
1.8%
10% -65%
36.3%
Subordinated interest-only
9% -100%
11.7%
4% -25%
11.6%
0% -6%
2.8%
30% -46%
39.9%
 
December 31, 2018
 
Significant Inputs
  
Discount Rate
CPR
CDR
Loss Severity
  
Range
Weighted Average
Range
Weighted Average
Range
Weighted Average
Range
Weighted Average
Non-Agency RMBS
 
 
 
 
 
 
 
 
Senior
3% -8%
4.5%
1% -25%
6.7%
0% -60%
6.1%
35% -95%
48.0%
Senior interest-only
8% -100%
11.1%
3% -32%
10.9%
0% -60%
4.5%
30% -95%
44.5%
Subordinated
4% -20%
5.8%
1% -19%
7.5%
0% -34%
2.9%
10% -70%
42.5%
Subordinated interest-only
9% -100%
12.0%
4% -25%
12.8%
0% -24%
5.6%
35% -68%
41.2%

A summary of the significant inputs used to estimate the fair value of securitized debt at fair value, collateralized by loans held for investment, as of June 30, 2019 and December 31, 2018 follows:
 
March 31, 2019
 
Significant Inputs
 
Discount Rate
CPR
CDR
Loss Severity
 
Range
Weighted Average
Range
Weighted Average
Range
Weighted Average
Range
Weighted Average
Securitized debt at fair value, collateralized by loans held for investment
0% -10%
3.5%
6% - 15%
9.0%
0% - 17%
1.4%
30% - 75%
60.8%


 
December 31, 2018
 
Significant Inputs
 
Discount Rate
CPR
CDR
Loss Severity
 
Range
Weighted Average
Range
Weighted Average
Range
Weighted Average
Range
Weighted Average
Securitized debt at fair value, collateralized by loans held for investment
0% -10%
4.3%
6% - 18%
9.3%
0% - 23%
1.4%
30% - 65%
58.7%


All of the significant inputs listed have some degree of market observability based on the Company’s knowledge of the market, information available to market participants, and use of common market data sources. Collateral default and loss severity projections are in the form of “curves” that are updated quarterly to reflect the Company’s collateral cash flow projections. Methods used to develop these projections conform to industry conventions. The Company uses assumptions it considers its best estimate of future cash flows for each security.

Sensitivity of Significant Inputs – Loans held for investment

The Loans held for investment are comprised primarily of loans collateralized by seasoned subprime residential mortgages. Additionally, it includes non-conforming, single family, owner occupied, jumbo, prime residential mortgages. The significant unobservable inputs used to estimate the fair value of the Loans held for investment collateralized by seasoned subprime residential mortgage loans, as of June 30, 2019 and December 31, 2018 include coupon, FICO score at origination, loan-to-value ratios (LTV), owner occupancy status, and property type. A summary of the significant inputs used to estimate the fair value of Loans held for investment collateralized primarily by seasoned subprime mortgages at fair value as of June 30, 2019 and December 31, 2018 follows:
 
 
 
 
 
June 30, 2019
 
December 31, 2018
Factor:
 
 
 
Coupon
 
 
 
Base Rate
4.6%
 
5.2%
Actual
6.8%
 
6.9%
 
 
 
 
FICO
 
 
 
Base Rate
638
 
638
Actual
626
 
626
 
 
 
 
Loan-to-value (LTV)
 
 
 
Base Rate
88%
 
88%
Actual
88%
 
88%
 
 
 
 
Loan Characteristics:
 
 
 
Occupancy
 
 
 
Owner Occupied
89%
 
90%
Investor
1%
 
1%
Secondary
10%
 
9%
Property Type
 
 
 
Single family
86%
 
86%
Manufactured housing
4%
 
4%
Multi-family/mixed use/other
10%
 
10%


The loan factors are generally not observable for the individual loans and the base rates developed by the Company’s internal model are subjective and change as market conditions change. The impact of the loan coupon on the value of the loan is dependent on whether the loan is clean or reperforming. A clean loan, with no history of delinquent payments and a relatively high loan interest rate would result in a higher overall value than a reperforming loan which has a history of delinquency. Similarly, a higher FICO score and a lower LTV ratio results in increases in the fair market value of the loan and a lower FICO score and a higher LTV ratio results in a lower value.

Property types also affect the overall loan values. Property types include single family, manufactured housing and multi-family/mixed use and other types of properties. Single family homes represent properties which house one to four family units. Manufactured homes include mobile homes and modular homes. Loan value for properties that are investor or secondary homes have a reduced value as compared to the baseline loan value. Additionally, single family homes will result in an increase to the loan value where manufactured and multi-family/mixed use and other properties will result in a decrease to the loan value, as compared to the baseline.

Financial instruments not carried at fair value

The following table presents the carrying value and fair value, as described above, of the Company’s financial instruments not carried at fair value on a recurring basis at June 30, 2019 and December 31, 2018.
 
June 30, 2019
 
(dollars in thousands)
 
Level in Fair Value Hierarchy
Carrying Amount
Fair Value
Repurchase agreements
2
14,514,719

14,548,583

Securitized debt, collateralized by Non-Agency RMBS
3
145,130

129,753


 
December 31, 2018
 
(dollars in thousands)
 
Level in Fair Value Hierarchy
Carrying Amount
Fair Value
Repurchase agreements
2
14,030,465

14,085,164

Securitized debt, collateralized by Non-Agency RMBS
3
159,955

140,711