Sequentially structured REMICs are based on the division of principal and seek to exploit both the market segmentation and liquidity preference theories of the term structure of interest rates.
The sequential REMIC waterfall bondlabSEQ cash allocation rules may be expressed as follows:
The deal pricing speed is 125 PSA. Table 15.1 provides a comparative analysis between the collateral, Tranche A, Tranche B, and Tranche C. The astute reader will notice the following:
Table 15.1 REMIC Sequential Analysis
MBS 4.00% | Tranche A | Tranche B | Tranche C | |
Net Coupon | 4.00% | 0.63% | 1.41% | 2.72% |
Note Rate | 4.75% | 4.75% | 4.75% | 4.74% |
Term | 360 mos. | 360 mos. | 360 mos. | 360 mos. |
Loan Age | 0 mos. | 0 mos. | 0 mos. | 0 mos. |
Orig. Bal. | $50mm | $75mm | $75mm | |
Price | $105.75 | $100.00 | $100.00 | $100.00 |
Yield to Maturity | 3.26% | 0.63% | 1.41% | 2.71% |
Spot Spread | 1.33% | 0.18% | 0.07% | 0.24% |
Pricing WAL | 9.81 | 2.19 | 6.91 | 17.40 |
First Principal Pmt | 1-2013 | 01-2013 | 11-2016 | 08-2023 |
Last Principal Pmt | 1-2043 | 11-2016 | 08-2023 | 11-2042 |
Modified Duration | 7.72 | 2.17 | 6.56 | 13.7 |
Convexity | 49.9 | 3.91 | 26.50 | 110.00 |
Effective Duration | 7.13 | 1.78 | 8.97 | 13.7 |
Effective Convexity | −15065 | 1377 | −18941 | −49830 |
In order to improve deal execution, the dealer may create an additional “IOette” class that represents the excess of the underlying collateral's interest payments over those paid to that of tranches A, B, and C. For purposes of this discussion, assume the existence of an additional IOette class whose valuation is sufficient to create a profitable arbitrage. Later, in Chapter 17, we will review the structuring and valuation of the IOette class.
The sequential structure alters the timing of the principal cash flow to the investor. Namely, Figure 15.1 and Table 15.1 show that Tranche A receives cash flows from Jan 2013 to Nov 2016, while Tranches B and C are said to be locked out. That is, principal is paid to these tranches only after the preceding tranche's principal balance is reduced to zero. For example, Tranche B's payment window, given a 125 PSA pricing speed, begins in Nov 2016 and ends Aug 2023. Tranche C's payment window begins in Aug 2023 and ends in Dec 2042 (recall section 7.2.2).
Figure 15.1 Sequential Principal Cash Flow Diagram
Time tranching is parsing the timing of the return of principal to the tranches. It changes the average life profile of each tranche relative to the underlying collateral. As shown in Table 15.1, both Tranche A and Tranche B report a shorter average life than the underlying collateral, which is 9.81 years. Tranche C reports a longer average life than the underlying collateral at 17.4 years. The dealer, by structuring tranches with a shorter average life than the collateral, is exploiting both the market segmentation and liquidity preference theories of the term structure of interest rates, discussed earlier in sections 2.2 and 2.3, thereby creating a positive arbitrage.
A sequential transaction relies on the division of principal to create each tranche. As a result, both call risk and extension risk are asymmetrically distributed across the transaction's capital structure. The fast-pay tranches bear greater call risk relative to either the underlying collateral or the last cash flow tranche. Conversely, the penultimate and last cash flow tranches bear greater extension risk relative to either the underlying collateral or the fast-pay tranche.
At first blush, one may view the fast-pay tranche (Tranche A) as the tranche bearing the brunt of prepayment risk. However, it is not the case that the fast-pay tranche is subject to greater call risk. Rather, it is the last cash flow tranche that bears the greater prepayment risk relative to either the underlying collateral or the fast-pay tranche. Stated differently, the risk that the realized prepayment rate will deviate over time from the assumed pricing speed has a higher probability of occurring in the tranches that have a longer average life compared to those with shorter average life. As a result, the last cash flow tranche exhibits greater average life variability than the first or fast-pay tranche.
Key rate duration analysis illustrates how the allocation of principal across time (time tranching) impacts each security, further reinforcing the points above. Figures 15.2 and 15.3 provide a side-by-side comparison of both the collateral and Tranche A's key rate duration. Notice the following:
Figure 15.2 Key Rate Duration MBS 4.00%
Figure 15.3 Key Rate Duration Tranche A
Figures 15.4 and 15.5 provide key rate duration analysis for both Tranche B and Tranche C. Figure 15.4 shows Tranche B's 10-year key rate duration is four times that of the underlying collateral, whereas tranche C's 10-year key rate duration is less than one-quarter that of the underlying collateral. The key rate duration analysis highlights the following:
Figure 15.4 Key Rate Duration Tranche B
Figure 15.5 Key Rate Duration Tranche C
Taken together, Table 15.1 and Figures 15.2 though 15.4 indicate, all else equal, Tranche C, after giving consideration to effective duration, is more negatively convex than both the underlying collateral and Tranches A or B.
The OAS analysis presented in Table 15.2 further illustrates the impact of time tranching on the valuation of MBS cash flows. Notice, Tranche C, the last cash flow tranche, OAS is higher than that of either Tranche A or B, indicating the investor receives addition compensation, in the form of a higher OAS, for accepting the greater negative convexity of Tranche C—further reinforcing the notion that the last cash flow tranche bears greater relative prepayment risk.
Table 15.2 REMIC Sequential OAS Analysis
MBS 4.00% | Tranche A | Tranche B | Tranche C | |
Net Coupon | 4.00% | 0.63% | 1.41% | 2.72% |
Note Rate | 4.75% | 4.75% | 4.75% | 4.75% |
Term | 360 mos. | 360 mos. | 360 mos. | 360 mos. |
Loan Age | 0 mos. | 0 mos. | 0 mos. | 0 mos. |
Price: | $105.75 | $100.00 | $100.00 | $100.00 |
Yield to Maturity | 3.26% | 0.63% | 1.41% | 2.70 |
OAS | 0.52% | 0.00% | 0.05% | 0.31% |
ZV-Spread | 1.28% | 0.00% | 0.00% | 0.27% |
Spread to the Curve | 1.52% | 0.26% | 0.11% | 0.35% |
Effective Duration | 7.13 | 1.78 | 8.97 | 13.7 |
Effective Convexity | −15065 | 1377 | −18941 | −41132 |
The degree to which each tranche is leveraged against the underlying collateral prepayment rate will determine its convexity and valuation. Those tranches most leveraged against the underlying collateral's prepayment rate will typically exhibit greater relative negative convexity, and naturally trade to a higher yield and OAS than those with less relative leverage and more positive convexity. Option-adjusted spread analysis aids the investor in estimating the value of the embedded prepayment option across structures.
The investor may gain additional insight by examining the results of the short-rate simulation. In particular, the weighted average life distribution allows the investor to visually examine how the allocation of principal influences each tranche's average life profile. Further, examining the spot spread distribution yields additional insights relating to the allocation of principal and its impact on cash flow valuation.
Figures 15.6 and 15.7 compare the weighted average life distribution of the underlying collateral to that of Tranche A. Notice, across all short-rate trajectories the WAL of Tranche A is shorter than that of the underlying collateral. Furthermore, the WAL is also less than that reported using the transaction pricing speed of 125 PSA, indicating the prepayment model is forecasting a faster near-term prepayment rate than the prepayment assumption used to price the transaction.
Figure 15.6 WAL Dist. MBS 4.00%
Figure 15.7 WAL Dist. Tranche A
As a result of the model's faster prepayment forecast and consequently shorter WAL the spread to the curve declines. Additionally, the ZV-spread is less than both the spread-to-the curve using the prepayment model (0.26%) and the nominal pricing spread (0.25% over the 2-year swap rate). Thus, by the valuation framework outlined in Chapter 4, Tranche A's rich-priced cash flows outweigh the cheap-priced cash flows. The low ZV- and OA- spreads in Table 15.2 result from a loss of coupon income due to faster prepayment expectations relative to the transaction's pricing speed.
Figure 15.8 provides additional insight. Recall, the ZV-spread is calculated as the average of the spot spread realized along each short-rate trajectory. The distribution of the spot spread along each path illustrates how the cash flow valuation changes given the short-rate trajectory and its impact on the estimated borrower prepayment vector given by the prepayment model.
Figure 15.8 Tranche A—Spot Spread Distribution
The spot spread distribution ranges from a low of −1.09% to a high of 0.49% while the average, ZV-spread, is 0.00%. Short-rate trajectories resulting in faster prepayment vectors will act to shorten Tranche A's average life and reduce the coupon income received by the investor. In turn, a lower path spot spread results. Conversely, those trajectories resulting in slower prepayment vectors extend Tranche A's average life and increase the coupon income received by the investor. These paths result in a higher path spot spread. The left skew of Tranche A's spot spread distribution illustrates the extent to which the tranche is callable (negative spot spreads). Analysis of the spot spread distribution aids the investor in quantifying the extent to which Tranche A's call risk influences the overall valuation of its cash flows.
Given a 125 PSA pricing speed the average life of the underlying collateral is 9.81 years and the average life of Tranche B is 6.91 years (Table 15.1). Tranche B's weighted average life distribution, as shown in Figure 15.9, reports less relative extension risk than the underlying collateral (Figure 15.6). Specifically, the maximum weighted average life of Tranche B is 7.95 years while that of the collateral is 11.49 years. Similarly, Tranche B exhibits greater relative call risk than the underlying collateral. Its minimum average life is 4.70 years versus the underling collateral minimum average life of 7.93 years. The average life distribution analysis confirms the finding in Table 15.2, which indicates Tranche B is more negatively convex than the underlying collateral.
Figure 15.9 WAL Dist. Tranche B
Figure 15.10 presents Tranche B's spot spread distribution. Again, the distribution is negatively skewed and reports an average of 0.00%. Notice, the extreme value in the left tail of the distribution. The minimum spot spread is −2.21%, which accounts for the zero average ZV-spread and indicates that Tranche B also has embedded call risk. The maximum spot spread is 1.01%.
Figure 15.10 Spot Spd. Dist. Tranche B
Tranche B reports a greater relative negative convexity than that of the underlying collateral and that of Tranche A. However, Tranche B's extension risk is minimized by the presence of Tranche C; the last cash flow Tranche. The allocation of principal to the last cash flow tranche minimizes, in absolute terms, the extension risk of Tranche B.
Figures 15.11 and 15.12 illustrate the weighted average life and spot spread distributions for Tranche C. Notice, the WAL and spot spread distributions exhibit less skewness than those of either Tranche A or B. Overall, Tranche C's weighted average life profile exhibits greater relative stability as does its spot spread distribution. Recall Figure 15.5, key rate duration analysis, C exhibited a much lower key rate duration at the 10-year tenor than either A or B. However C exhibits greater key rate duration exposure beyond the 10-year tenor. Hence, one would expect C to exhibit greater sensitivity to both longer tenor interest rates as well as expected borrower prepayment rates.
Figure 15.11 WAL Dist. Tranche C
Figure 15.12 Spot Spd. Dist. Tranche C
Often the investor employs static cash flow analysis as a simple yet effective filter for eligible securities. Investment guidelines may specify a maximum allowable maturity. For example, a bank's portfolio investment guidelines may state the average life or maturity of any investment cannot exceed seven years. In this case, as part of the screening process the portfolio manager may employ static cash flow analysis such as that shown in Figure 15.13 to test the eligibility of each tranche based on its average life profile. The static cash flow analysis in Figure 15.13 presents the average life of each sequential tranche given PSA assumptions ranging from a low of 50 PSA to a high of 350 PSA. Given the bank's investment guidelines:
Figure 15.13 Average Life Analysis
Alternatively, a life insurance company's investment guidelines may set a eight-year minimum maturity or average life in order to fund longer dated liabilities—such as a pension buyout. Given the insurance company's guidelines:
Both examples presented above suggest there is a degree of market segmentation (section 2.2) on the part of institutional investors. In each case, market segmentation is primarily motivated by each institution's unique liability stream. Dealers are able to create securities that meet each institution's portfolio guidelines by time tranching cash flows through the allocation of principal.